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Submitted to Wayne Huizenga Graduate School of Business and Entrepreneurship of Nova Southeastern University in partial fulfillment of the requirements for the degree of DOCTOR OF BUSINESS ADMINISTRATION 2001 Copyright 2001 A Dissertation entitled A STUDY OF INTUITION IN DECISION-MAKING USING ORGANIZATIONAL ENGINEERING METHODOLOGY By Ashley Floyd Fields We hereby certify that this Dissertation submitted by Ashley Floyd Fields conforms to acceptable standards, and as such is fully adequate in scope and quality.

It is therefore approved as the fulfillment of the Dissertation requirements for the degree of Doctor of Business Administration. Approved: Ronald Fetzer, Ph. D. Chairperson Date William Snow, Ph. D. Committee Member Date William Harrington, Ed. D. Committee Member Date Joseph Balloun, Ph. D. Director of Research Date ________________________________________________________________ Preston Jones, DBA. Date Associate Dean, The Wayne Huizenga School of Business and Entrepreneurship Nova Southeastern University 2001 CERTIFICATION STATEMENT

I hereby certify that this paper constitutes my own product, that where the language of others is set forth, quotation marks so indicate, and that appropriate credit is given where I have used the language, ideas, expressions or writings of another. Signed:___________________________ Ashley Floyd Fields ABSTRACT A STUDY OF INTUITION IN DECISION-MAKING USING ORGANIZATIONAL ENGINEERING METHODOLOGY by Ashley Floyd Fields This dissertation examines the concept of intuition in decision-making by means of a Literature Review and a study of measures within organizations.

In the Literature Review, the nature and experience of the use of intuitive skills and abilities will be examined and discussed. Research questions regarding the relationship between intuitive-type thought processes and methods of thinking and decision-making are considered. Finally, the Literature Review will explore rational and non-logical processing styles in decision-making and the organizational positioning which call for an intuitive approach. Using a survey instrument, the study will examine group differences in measures for individuals having various positions and functions within a variety of organizations.

Dr. Gary Salton’s Organizational Engineering concepts (Salton, 1996) which are consistent with the concept of intuition, provide the focus of this study. Organizational Engineering differs from other theories by looking at intuition as a phenomenon arising naturally from the information processing and decision-making methods and modes employed by individuals. The research question is: Do various combinations of method and mode produce results that are consistent with the findings other researchers have attributed to intuition? The research question was tested by five interrelated hypotheses.

Three hypotheses were designed to examine both the Reactive Stimulator and Relational Innovator style component and their proposed relationship to hierarchy. In addition, two hypotheses were designed to test Research & Development, Information Technology, and Customer Service for the relative level of intuition required to discharge these functional responsibilities effectively. All of the study hypotheses were found to perform as anticipated at a very high level of significance. However, in Hypothesis 2, the level of Reactive Stimulator did vary systematically within leadership ranks.

Ashley Floyd Fields In fact, individuals using an unpatterned method (organization of data being input) and a thought and/or action mode (character of intended output) would arrive at decision options which would not appear to follow any of the standard, logical, and/or existing processes. Thus, an outside observer would tend to attribute the unexpected idea as arising from some sort of insight process founded on intuition. ACKNOWLEDGEMENTS While writing this dissertation, I continually thought of its beginning, when, in an intuitive moment, I decided to research the use of rational and non-rational thought processing within organizations.

I believed then, and especially now, the topic would provide significant insight to the behavior within organizations at the individual, group and organizational levels. The process I have gone through is not unlike what happens today in organizations. At various stages of development, I received a spectrum of responses, both encouraging and challenging. What I thought was “cutting edge” research many times felt like “bleeding edge” because one of the characteristics associated with intuition is the inability to fully explain how you arrived at the answer being professed. Fortunately, as appens in organizations, knowledgeable individuals stepped forward and supported going forward with the research. At this time, I would like to gratefully acknowledge my committee members: Dr. Ron Fetzer, Dr. William Snow, Dr. Bill Harrington, and Dr. Joe Balloun. For anyone who has been or is currently in a doctoral program, you know words are inadequate to express appreciation for people who have dedicated themselves so that others, like myself, could achieve such a significant milestone as the completion of the research process. Another critical and crucial supporter of this work is Dr. Gary Salton. Dr.

Salton exemplifies the intuitive practitioner who, years ago, began developing the concept of Organizational Engineering and compiling the database which became the basis for this research. His unselfish contributions enable us all to benefit from organizational insights to this research which can facilitate new methods and better results at all levels for organizational workers. Also during the course of researching and writing this dissertation, I have been blessed to have discussed this work personally with individuals well known in the fields of business, organizational development, and change management.

I wish to thank the following people whose conversations were both encouraging and enlightening: Dr. Weston Agor, Dr. Bill Taggart, Patricia Aburdene, Dr. Charles Garfield, Dr. Elliott Jaques, Dr. Warren Bennis, and Sharon Franquemont. In addition, I wish to thank the individuals who have assisted me in various ways over the years. Lest I should unintentionally leave one or two out, I say to them sincerely “Much Thanks”. Without you I know I would not have made it. As you read this, you will know in your hearts and minds who you are.

Last but not least, I would like to express my love and appreciation for my family, who have sacrificed time and resources during both the course of study and the writing of this dissertation: To my loving and supportive wife, Sharon, who wanted me to finish as much as I did; to my children, Whitney and Geoffrey, who wondered if they would graduate high school before I completed my course of study; and to my parents who, “May They Rest in Peace”, did not live to see this moment in time, at least not from here on earth.

TABLE OF CONTENTS Page List of Tables List of Figures Chapter 1. INTRODUCTION Purpose of the Study Significance of the Study Theory/Aspect of Theory Being Tested Research Question Definition of Terms Overview of Total Research Study 2. LITERATURE REVIEW Definition of Intuition Major Theorists Researchers Management Oriented Research 28 Instrumentation Summary 3.

METHODOLOGY Variables Relational Innovator Dimension: Hypothesis 1 Reactive Stimulator Dimension: Hypothesis 2 Organizational Level: Hypothesis 3 Relational Innovator/ Reactive Stimulator: Hypothesis 4 Hypothetical Analyzer/ Logical Processor: Hypothesis 5 I-OPTTM Instrument Database Subjects Population Instrument Design Validity and Reliability of the Instrument Data Analysis Environment Summary 4. ANALYSIS AND PRESENTATION OF FINDINGS Hypothesis One Hypothesis Two Hypothesis Three 1 1 1 2 7 7 8 9 9 10 18 40 42 44 44 44 45 46 47 48 49 50 54 55 55 57 59 59 60 60 63 67 ix xi

Hypothesis Four Hypothesis Five Summary 5. SUMMARY AND CONCLUSIONS Overview of Significant Findings Limitations of this Study Implications for Human Resource Management Professionals Recommendations for Future Research Conclusions Appendix A. I-OPTTM SURVEY B. THE VALIDITY AND RELIABILITY OF ORGANIZATIONAL ENGINEERING INSTRUMENTATION AND METHODOLOGY C. PERMISSION LETTER D. CLASSIFICATION OF HIERARCHICAL LEVELS REFERENCES CITED BIBLIOGRAPHY 73 78 82 83 83 85 85 88 90 91 93 96 98 101 108 LIST OF TABLES Table 1. 2. 3. 4. 5. 6. 7. 8. 9. 10A. 10B. 11. 12. 13. 14A. 14B. 15. 16. 17A. 17B. 18. 19. 20A.

Instruments Measuring Intuition Examples of Work Groups in the Database Types of Industries/Areas Included in Database Organizational Distribution of Experts Occupational Positions of Experts Educational Achievements of Experts Statistical Results of Hypothesis 1: Relation of Hierarchical and Relational Innovator Levels Statistical Results of Hypothesis 2: Relation of Hierarchical and Reactive Stimulator Levels Mann-Whitney Test Results of Hypothesis 2a : Leaders versus the Population in Reactive Stimulator Score Hypothesis 2: Leader Median and Mean Reactive Stimulator Results Hypothesis 2: Population Median nd Mean Reactive Stimulator Results Non-Parametric Statistical Results of Hypothesis 3: Relation of Hierarchical Position to Conservator Pattern Levels Mann-Whitney Statistical Results of Hypothesis 3: Leaders versus Population in Conservator Pattern Levels Median Test Statistical Results of Hypothesis 3: Leaders versus Population in Conservator Pattern Levels Hypothesis 3: Population Conservator Pattern Descriptive Statistics Hypothesis 3: Leader Conservator Pattern Descriptive Statistics Mann-Whitney Statistical Results of Hypothesis 4: Changer Comparison of Research & Development and Information Technology Median Test Statistical Results of Hypothesis 4: Changer Pattern Comparison of Information Technology and Research & Development Functions Hypothesis 4: Mean Research & Development Changer Pattern Results Descriptive Statistics Hypothesis 4: Mean Information Technology Changer Pattern Results Descriptive Statistics Mann-Whitney Test Statistical Results of Hypothesis 5: Conservator Comparison of Population and Customer Service Median Test Statistical Results of Hypothesis 5: Conservator Pattern Comparison of Customer Service And Population Hypothesis 5: Mean Customer Service Conservator Pattern Results Descriptive Statistics Page 40 52 53 58 58 59 61 63 66 66 67 68 70 71 72 72 74 75 76 76 79 80 80 20B. 21.

Hypothesis 5: Mean Population Conservator Pattern Results Descriptive Statistics Hierarchical Distribution of LeaderAnalysisTM Database 80 100 LIST OF FIGURES Figure 1. 2. 3. 4. 5. 6A. 6B. 7A. 7B. 8A. 8B. 9A. 9B. 10A. 10B. 10C. 11A. 11B. 11C. Basic Information Processing Model Large Scale Determinants of Information Processing: Method Large Scale Determinants of Information Processing: Mode Summary of Strategic Patterns Maslow’s Hierarchy of Needs Hypothesis 1: Median Scores by Hierarchical Rank Hypothesis 1: Mean Scores by Hierarchical Rank Hypothesis 2: Median Scores by Hierarchical Rank Hypothesis 2: Mean Scores by Hierarchical Rank Hypothesis 3: Median Scores by Hierarchical Rank Hypothesis 3: Mean Scores y Hierarchical Rank Hypothesis 3: Median Score by Population and Leader Hypothesis 3: Percent of Cases Above Median by Population and Leader Hypothesis 4: Changer Pattern Median Scores by Information Technology and Research & Development Hypothesis 4: Changer Pattern Percent of Cases above Median by Information Technology and Research & Development Hypothesis 4: Changer Pattern Mean Scores by Information Technology and Research & Development Hypothesis 5: Median Scores by Population and Customer Service Hypothesis 5: Percent of Cases Above Median by Population and Customer Service Hypothesis 5: Mean Scores by Population and Customer Service Page 3 3 4 8 16 62 62 64 65 69 69 72 73 76 77 77 81 81 82 CHAPTER 1 Introduction This study examines the concept of intuition in decision-making by means of a literature review and study of measures currently being used within organizations.

Human behaviorists have examined why the performance of some people get them to the top while others around them remain in lower levels of the organization. They have considered situations such as, given the same information, one person completes a problem-solving process much sooner than another with nearly the same responses and wondered how that happened. This research focuses on the relationship between intuitive thought, organization level; and function. It explores the use of intuition in decision-making and the organizational conditions which call for an intuitive approach. Purpose of the Study The purpose of this research is to determine the systematic use of intuitive skills and abilities in business organizations.

Management research historically has been biased toward the analytical process in decision-making. This rational approach has been more popular as the preferred and acceptable method for studying management practices. Alternative unstructured methods have been ignored or labeled irrational in the negative sense. However, since this study’s focus is centered on working adults, judgment can be reached using other non-logical thought processes such as intuition, which take into account years of expertise, considerable introspection, and/or informal rules learned over time. This study identifies major theorists and their opinions and findings, as well as their sources of learning. However, no attempt is made to xhaustively identify all sources referencing the theories and studies related to intuition. Primary examination is given to twentieth century researchers, although earlier authors of prominence are noted in selected cases. Significance of the Study Eisenhardt (1989) linked rapid decision-making to such characteristics as decisive, operations-focused, hands on, and instinctive. Therefore, fast decision-making is linked to effective performance. As an example of behavior linked to fast decisionmaking, Eisenhardt found executives gathered real time information on firm operations and the competitive environment which resulted in a deep, intuitive grasp of the business.

This intuitively-based understanding translates into improved business performance. Many managers report using intuition in their decision-making, in spite of the deeply rooted bias against non-rational methods (Agor, 1984a; Agor, 1984b; Dean, Mihalasky, Ostrander, and Schroeder, 1974; Isaack, 1978; Mintzberg, 1976; and Rowan, 1986). Reports of managers use of intuition ranges from inferential processes, performed under their own pre-existing database (Agor, 1986a,b,c,d) to acceptance and use of predictive abilities (Dean, Mihalasky, Ostrander, and Schroeder, 1974). Successful decision-makers have been found to have great predictive abilities (Cosier and Alpin, 1982; and Dean, Mihalasky, Ostrander, and Schroeder, 1974).

However, many managers remain unwilling to acknowledge their use of intuition, fearing negative responses from their colleagues (Agor, 1986a, 1986b, 1986c, 1986d). Additional researchers who influence this study are Barnard (1968), Vaughan (1979), Hermann (1981), Isenberg (1984), Simon (1987), and Parikh (1994). This study seeks to redefine intuition in a form which is acceptable to the rationalistic school and yet accommodates the scholarly but more inferential approaches. The study explores the use of intuition in an extensive cross section of people in organized environments. Theory/Aspect of Theory Being Tested Gary Salton (1996) developed the Organizational Engineering theory as a way of measuring and predicting the behavior of interactive groups of people.

In Salton’s theory, human beings are regarded as information processing organisms, by which, the human is bound to the Input-Process-Output model (Figure 1) common to all information processors, regardless of their format. INPUT PROCESS Figure 1 Basic Information Processing Model (Salton, 1996, p. 9) OUTPUT Salton’s (1996) theory proposes the type of information sought and the intended direction of the output predetermines processing behavior. For example, if the subject does not collect detail in the input phase of the process, his output will not likely be tightly structured, logical, precise, or optimal relative to the issue being addressed. Rather, minimal output will probably result. In effect, therefore an individual using an opportunistic strategy obtains speed of response at the price of precision.

Salton’s (1996) theory maintains an input-process-output model is largely governed by two large-scale factors: method and mode, which are conceived as continuums. Method (Figure 2) governs the character of input. At one end of the continuum is what Salton calls an unpatterned method. Using the unpatterned strategy, an individual simply acquires whatever information is readily available and appears relevant to the issue at hand. UNPATTERNED STRUCTURED “An Available Way” Convenient Expedient Opportune Spontaneous METHOD (INFORMATION ORGANIZATION) “A Predefined Way” Template Formula Scheme Pattern Map Figure 2 Large Scale Determinants of Information Processing: Method (Salton and Fields, 1999, p. 49)

The other end of the method continuum (Salton, 1996) is defined as a structured methodology. Here the individual has some form of structure and attempts to apply it to acquire information, which appears relevant to the issue at hand. An individual can move to any point on the continuum trading speed, precision, understanding and certainty of outcome with every increment along the scale. Salton (1996) defines the other large-scale characteristic as mode. This is visualized also as a continuum (Figure 3) ranging from thought on one polar extreme to action on the other. Salton defines thought not as a cognitive activity but rather as an intermediate result.

Therefore, under Salton’s definition, a plan requiring many hours of physical activity and which might fill reams of paper will still be considered a thought based response. It is intermediate. It has no effect on the outside world or the issue being addressed until it is acted upon. Action (Salton, 1996) is the other end of the mode continuum. Here, the subject acts directly to affect the issue in question. This action may or may not have been preceded by thought as defined by Salton. From this perspective of intuition theory, action can be seen as a more decisive, aggressive, or positive response by an external observer. Thought, on the other hand, appears to the outside observer to be more rational, reflective, or coherent.

Therefore, a subject tending to favor the action end of Salton’s continuum will tend to be seen as decisive, operations-focused, and hands-on. These characteristics were associated with people employing intuitive strategies (Eisenhardt, 1989). THOUGHT ACTION “An Intermediate Step” Plans Assessments Evaluations Judgements Advise Counsel MODE (DIRECTION FOR USE OF INFORMATION) “A Direct Effect on the Issue under Consideration”” Initiative Intervention Act Execution Figure 3 Large Scale Determinants of Information Processing: Mode (Salton and Fields, 1999, p. 49) These basic components of Salton’s theory carry major implications for the study of intuition theory. Various combinations of method and mode produce behaviors paralleling the behaviors attributed to intuition.

For example, a person using an unpatterned approach appears to an outside observer to be following a more intuitive strategy. There appears to be no logical structure to the information required. The logic exists, but it is in the mind of the subject and concerns the potential relevance of information to the specific issue being addressed. If questioned, the subject may or may not be able to readily articulate why a particular element of information was selected. The outcome of this process is entirely consistent with rapid decision-making, displaying characteristics that are considered instinctive—a phenomenon often attributed to intuition (Eisenhardt, 1989).

The use of the unpatterned end of Salton’s continuum also produces results consistent with Clark’s (1973) view, since the person will not know how he knows what he knows. The mode element of Salton’s theory also has implications for intuition theory. The thought side of Salton’s continuum focuses primarily on intermediate steps (study, assessment, evaluation, etc. ), many of which are not observable. Therefore, a person using an unpatterned method and thought mode may experience intuitive insights not visibly displayed. A person using an unpatterned method with an action mode, however, will exhibit behaviors an observer can readily attribute to intuition. Inputs potentially useful to address the issue at hand are quickly acquired and promptly applied.

A portion of these will successfully address the issue at hand and may be noticed by others who interact with the decision-maker. These outsiders may comment on the decision-maker’s insight, further establishing or reinforcing the decision-maker’s self-conception as being intuitive. An example may help illustrate this situation. Consider a situation in which a person uses an unpatterned method to address a particular issue, such as when an executive interacts with the Board of Directors or with special interest groups. The person would begin indiscriminately seizing information, to help resolve the issue. If the person is also using an action mode, he will tend to apply the information without hesitation. If it works, the search is over.

If it does not, he or she returns to the environment, picks up another piece of information, and cycles through the process again. The indiscriminate acquisition of information increases the probability of discovering an improbable but valid way of addressing the issue. In other words, by not following an established structure, the person increases the odds of a serendipitous discovery or of a previously unrecognized approach to resolve a problem. This type of resolution is easily attributable to insight or intuition since it is unexpected and not readily attributable to an obvious antecedent. Intangible concepts like intuition may be the real stimulus.

Because research in information acquisition is limited as well as in planning the application, the cycles can occur very rapidly. The use of the action mode increases the probability an individual will repeatedly demonstrate intuitive-type results in a manner visible to others. This often-observed style or behavior in turn suggests an innate quality. Hence, the person is considered to be intuitive. Similarly, method and mode operate in a continuum; thus, people would exhibit degrees of intuition. However, the more committed a person is using an unpatterned method for information acquisition, the more likely they will display behavior attributable to intuition, and whom others will describe as using an intuitive strategy.

The focus on this combination of method and mode is similar to other thinkers in the field. For example, many issues addressed at the senior executive level do not have a readily identifiable structure of information acquisition. Some have parameters encouraging thought based (i. e. , intermediate) responses, while others will require immediate action/reaction. Therefore Salton suggests executives will use both nonlogical and logical methods in the conduct of their ordinary affairs—just as Barnard (1968) also proposed and Agor (1986a, 1986b, 1986c, 1986d) confirmed. Salton does not directly address intuition in his research because his focus is on the interactive behavior people use in group activity.

Other theorists and researchers have relied on psychologically based processes, which are not readily visible to external observers. However, as demonstrated above, Salton’s theory can readily serve as a vehicle for integrating the works of multiple authors who have written extensively on intuition. In addition, Salton’s theory has the merit of using ratio-scaled variables that allow people to express degrees of commitment to one or another strategy (i. e. , method and mode) which can be measured and tested. This study proposes the behavior a person exhibits using unpatterned information acquisition methods and action-based output modes will be consistent with the work found by numerous intuition theorists.

This study also proposes the use of these strategies (unpatterned method, action mode) will be systematically exhibited in a manner consistent with the findings of others. Research Question This study will focus on the following research question with regards to management decision-making and the use of intuition: Do various combinations of method and mode produce results that are consistent with the findings other researchers have attributed to intuition? Definition of Terms Organizational Engineering theory adopts a set of variables useful in describing the operation of the theory. This section defines these, as well as other terms applied in this study.

Intuition – A way of perceiving which relies on relationships, meanings, and possibilities beyond the reach of the conscious mind (Myers and McCaulley, 1985) and includes behavioral attributes (Brown, 1990). A way of knowing in which we often do not know how we know what we know (Vaughan, 1979). Hypothetical Analyzer – One who processes information in a thought-oriented mode using structured methods (Salton, 1996). Logical Processor – One who processes information with an inclination for the action mode using structured methods (Salton, 1996). Reactive Stimulator – One who processes information with an inclination for the action mode using unpatterned methods (Salton, 1996). Relational Innovator – One who processes information in a thought-oriented mode using unpatterned method (Salton, 1996).

Changer – This orientation pattern combines the styles of Relational Innovator and Reactive Stimulator (Salton, 1996). Conservator – This orientation pattern combines the styles of Logical Processor and Hypothetical Analyzer (Salton, 1996). Perfector – This orientation pattern combines the styles of Relational Innovator and Hypothetical Analyzer (Salton, 1996). Performer – This orientation pattern combines the styles of Reactive Stimulator and Logical Processor (Salton, 1996). Figure 4 (Salton, 1996) illustrates the various combinations and their resulting strategic patterns, given different primary and secondary strategic profiles. PATTERN Changer Conservator Performer Reactive Stimulator (RS) Logical Processor (LP) Figure 4 Summary of Strategic Patterns

Perfector Relational Innovator (RI) Hypothetical Analyzer (HA) Overview of Total Research Study Chapter 2 reviews the findings of major authors in the field of intuition research and forms the foundation for the testable hypotheses to be used to examine the research question. CHAPTER 2 Literature Review Intuition is a relatively new subject of academic interest. Literature on the subject, particularly on its use in decision-making did not become prevalent until the early 1970s (Argyris, 1973a, 1973b; Clark, 1973; Dean, Mihalasky, Ostrander, & Schroeder, 1974; Jung, 1971; Leavitt, 1975a, 1975b; Livingston, 1971; Mintzberg, 1973, 1975, 1976; and Simon, 1977).

These works, along with research in the 1980s, incorporated intuition related literature and research prior to the 1970s and as far back as the 1950s (Riggs, 1987). This research study concentrates specifically on the research literature as it relates to the use of intuition in decision-making among organization managers and executives. Various organizational environments are examined in the literature review and thus, may be reasonably considered an overview of the subject. This research is classified into two categories: (1) theoretical developments concerning the concept of intuition, and (2) survey studies supporting the premise for using intuition in decision-making.

The overview provides information on the use of intuition in business organizations as a function of leadership and decision-making; and explores various well- established methodologies as well as those still in development. Definition of Intuition The term intuition is defined as “knowing something instinctively; a state of being aware of or knowing something without having to discover or perceive it…”. (Encarta, 1999). Intuition is seen as an innate capacity not directly accessible by considering the process which gives rise to a judgment or action involving it. Thus, intuition seems to be a residual process accommodating whatever can’t be explained by other means. The literature reflects the inherent lack of obvious conceptual framework for the term intuition.

Some of the alternative descriptors are ESP, psi, judgment, insight, and gut feelings (Dean, Mihalasky, Ostrander, and Schroeder, 1974); hunch (Barnard, 1968); extrasensory perception (Leavitt, 1975b); non-rational (Cohen and March, 1974); recognition (Goldberg, 1983; Ray and Myers, 1986), and edge (Tichy, 1997). Such non-specific definitions suggest that different authors and researchers could be describing different processes or even measuring different phenomenon. Conversely, experts could be referring to the same phenomenon with different labels. Major Theorists This study attempts to capture the value of various theorists’ approaches by focusing on the central contribution of each, and how these compare or contrast to Organizational Engineering theory.

Theorists are often classified as personality based such as Jung or transpersonal based such as Vaughan. The more classical theorists’ approach view intuition as a distinct pattern of thought from the rational mode (Jung, 1971), while the transpersonal theorists’ approach considers the integration of rational and intuitive approaches and considers them both valid and separate, as well as complementary (Goldberg, 1983; Vaughan, 1979) One of the most important figures to focus on the concept of intuition is Carl Jung. His theory of psychological types is the basis for the development of the widely used Myers-Briggs Type Indicator (MBTI) (Kroeger and Thuesen, 1992).

Jung’s theory of intuition suggests intuition is a psychological function present in all people to varying degrees and is manifested in personality types. Jung defines intuition as a perception and comprehension of the whole at the expense of details attributable to unconscious process. Intuition is thus viewed as a cognitive function outside the province of reason and given consideration whenever established rational or other cognitive concepts do not work. In short, it is the perception of reality in which the intuitive knows, but does not know how he knows (Clark, 1973). Later, Jung broadens his thoughts on personality types by introducing the concept of synchronicity, which further helps to explain intuitive-type feelings and visions not attributable to coincidence (Rowan, 1986).

Jung uses such phrases for intuition as hunches, inspiration, and insight to problem-solving methods, all of which reflect little patience for detail or routine (Behling and Eckel, 1991). Vaughan (1979) describes four levels of intuition: physical, emotional, mental and spiritual. The theorists, writers and researchers describe intuition in both psychological and physiological terms. Intuition experienced through physical levels includes bodily sensations such as tension or discomfort. This is not to say however that every bodily sensation indicates an intuitive message, but these physical symptoms can be used for self-awareness, as well as a source of warnings and signs.

Emotional intuitive messages take several forms, such as liking or disliking something or someone for no apparent reason, feeling the need to perform an action or do something, and sensing energy levels in oneself or others. Emotional level intuition can be used to deepen one’s self-awareness and to understand others (Vaughan, 1979). The mental level of intuition is typically experienced as images or ideas. It may appear as the perception of patterns, insights, or images, especially in problem-solving situations. Intuition at the mental level can be used to trigger creativity, explore problem-solving areas not previously mined, and to enhance learning (Vaughan, 1979).

Spiritual intuition does not rely on sensations, feelings, or thoughts. In fact, these are considered being distracters at the spiritual level (Blackwell, 1987; Vaughan, 1979). Spiritual intuition is a means for improving self-awareness and transpersonal experiences. Vaughan does not clarify whether a single intuition mode is responsible for all four types or whether unique factors exist for each type. This generality suggests Vaughan is defining taxonomy rather than a theoretical specification which can be tested and validated through scientific methods. Salton’s Organizational Engineering theory however does account for all facets of Vaughan’s taxonomy.

Salton’s theory focuses on inputs and outputs, regardless of the source or the outcome. Vaughan’s physical, emotional, mental or spiritual intuitive factors can be accounted for with equal facility. Salton’s Organizational Engineering theory argues intuition is the result of a single process. Therefore, there is no operational need to specify the source or destination of the input-output chain (Salton, 2000). Vaughan’s approach may be of value in describing intuition but it is not suitable to test the concept. Like Vaughan, Salton is indifferent to the source of the input providing the initial drive toward an external response. Further, Salton makes no judgment about the value, or lack of value, of these explanations.

The rational approach to intuition accepts the notion that the human mind has alternative methods of processing information and these methods influence behaviors. For example, Jung posits four independent but interacting categories of cognition— intuition, thinking, feeling, and sensing. Each of these categories can be operational at any particular time and any combination favored by a particular individual and gives rise to unique behaviors. There are two views regarding the availability of intuition in individuals. One view suggests intuition is potentially available to everyone (Goldberg, 1983; Vaughan, 1979), while the other group professes individuals to be either intuitive or non-intuitive (Jung, 1971; Agor, 1984b).

Researchers have even estimated what percentage of population they believe is in each category. Peavey (1963) as reported by Thornton (1971) agrees with Jung’s notion that intuitives are rare, only 25% of his research sample were individuals whom he would define as intuitives. Salton views intuition as a probabilistic outcome of a particular information processing strategy. The combination of an unpatterned method in acquiring input and a thought mode of output produce unexpected insights easily classified as intuition. This strategic posture, termed Changer within Organizational Engineering, serves a function within particular segments of a social group.

The Changer is characterized by rapid idea generation, high failure rates, quick application, uneven optimality, high uniqueness, and potentially high disruptive potential (Salton and Fields, 1999). Therefore, while valuable, social system can only tolerate a certain proportion of its members subscribing to this strategic pattern. Beyond that level, the system will become unstable and the pattern will become dysfunctional (Salton and Fields, 1999). In periods of relative economic and social stability it is reasonable to expect the relative proportion of people subscribing to the Changer strategic pattern (Salton’s equivalent of an intuitive) will be a minority within the population.

A study by MacKinnon in 1962 as reported by Thornton (1971), which used a select group of creative individuals, reflects a preference for intuition among 90% of that sample, in contrast to the general population figure of 25% most frequently cited. Peavey (1963) as reported by Thornton (1971) found approximately 25% of his sample were intuitives. Salton’s Changer orientation accommodates such cases as MacKinnon’s. Organizational areas where the roles and responsibilities of individuals are to identify and create new products or initiatives, such as in Research and Development, must attract and retain more creative people in order to be strategically competitive (Salton, 2000). Intuition as a concept and theory has been explained and defined in a variety of ways.

Jung (1971) explains intuition as form of perception (one of four; the other three being; thinking, feeling, and sensing). Agor (1984b) and Goldberg (1983) view intuition as a process of knowing something without understanding how one knows it. Vaughan (1979) views intuition as a non-rational mode of knowing as opposed to a rational mode. She describes intuition as a distinct process characterized by directness, immediacy, perception, and unconscious processing of information. The base theorist for the current concept of intuition is Carl Jung whose psychological types are explained in his general theory of personality (Jung, 1971). Jung elaborates on intuition as a core aspect of human experience within the field of psychology.

Jung relates the concept of subconscious to intuition and in his early research relates unconscious to refer to what is currently known as subconscious. His theory connects intuition as a function of personality rather than knowledge experience. Jung does not believe intuition is related to inference. Jung believes intuition operates beneath the conscious realm and is made without the limitations and constraints of rationalism and logic. Jung also believes the intuitive process and how it accesses knowledge is indiscernible. In other words, the intuitive or intuitor knows, but does not know how he/she knows. This theory is also the basis, either directly or indirectly, for many of the instruments, which have been designed to measure intuition preference levels.

In Jungian Theory (1971), human experience is composed of four basic functions: intuition, sensation, feeling, and thinking. Individuals possess and utilize all four functions to varying degrees. He further divides these functions into rational or concrete functions (thinking and feeling) in which people evaluate experiences and come to conclusions and non-rational or abstract functions (intuition and sensation) in which people capture experiences and gather information. Concrete intuition balances perceptions concerned with the actuality of things; it is a reactive process, which responds to given facts. Abstract intuition is what mediates perceptions of ideals and connections, and is stimulated by an act of will or intent.

Jung’s theory of personality is more complex than just intuition and included various other aspects. “Intuition fully described is ‘introverted intuition with thinking,’ or ‘extraverted intuition with feeling,’ and on through all combinations of the function” (Blackwell, 1987). Jungian psychology which identifies the four types has been viewed as useful in understanding and developing decision-making and problem-solving skills in business (Catford, 1987). Jung also believes that people have a tendency to favor or have one dominant type over the others. Jung suggests there are innate, unconscious modes of understanding which regulate our perception itself.

These are referred to as archetypes, which is an inborn form of intuition (Hyde and McGuinness, 1994). Jung’s theory of intuition believes there is psychological functions present in all people in varying degrees and manifested in personality types. Intuition is a perception and comprehension of the whole at the expense of details based on unconscious processes. Furthermore, intuition is a cognitive function outside the province of reason and is used wherever established values and concepts do not work. In other words, it is the perception of reality not known to consciousness self in which the intuitive knows, but does not know how he/she knows (Clark, 1973).

Jung (1971) also further delineates intuitive types as extroverted or introverted. The extroverted intuitive personality perceives implications and possibilities in the external world, while the introverted intuitive focuses on the inner world and perceives the implications and possibilities of his/her own conscious processes, both personal and collective. Later, Jung broadens his thoughts on personality types by discussing the subject of synchronicity which further helps to explain intuitive-type feelings and visions separate from coincidence (Rowan, 1986). Jung relates such phrases as hunches, inspiration, and insight to problem-solving with little patience for detail and routine (Behling and Eckel, 1991).

Jung’s general theory of personality is the basis for the Myers-Briggs Type Indicator self-reporting instrument (Myers and McCaulley, 1985; and Kroeger and Thuesen, 1992). However, Salton’s Organizational Engineering is indifferent to the Jungian approach. Jung’s concepts of introvert may be applied to Salton’s Relational Innovator and Hypothetical Analyzer strategic patterns which exhibit behaviors roughly consistent with those of the introvert, but, this does not mean they are the same, simply that they are correlated or share similar traits. This study recognizes the continuing contribution of Jung to the field, especially as applied to individuals.

However, in modern society, groups of individuals are the principal contributors to the common well being. Unfortunately, Jungian theory does not lend itself to the consolidation of individuals in groups. The principles of Salton’s Organizational Engineering, on the other hand, have been shown to produce statistically significant and reliable results when applied to individuals in interactive groups (Soltysik, 2000). Therefore, Salton’s Organizational Engineering methodology is the more appropriate choice for studying organizational development initiatives. Having said this, both Organizational Engineering and Jungian theory offer alternative explanations to intuition.

Jungian is psychologically based and assumed to be a fixed component of the individual. The hypothesized organizational prescription will be to identify individuals and/or groups endowed with intuition and place them in a position that makes use of their talent. In contrast, Organizational Engineering views intuition as a strategic response to an environment, individuals and groups can be taught to make use of the strategic styles or patterns (Salton, 1996). For the purpose of this study, both Organizational Engineering and Jungian theory are relevant and identified in the literature review and useful in exploring intuition. The theories actually address two slightly different things, i. e. Organizational Engineering focuses on the individual as participant in group behavior, while Jungian theory focuses more narrowly on the individual. Subscribing to Organizational Engineering principles does not preclude simultaneously subscribing to those of Jung. These facts will suggest there is no need to prove one wrong and the other right. They both can coexist. Maslow (1970) addresses intuition in his theories of human psychology. Maslow characterizes intuition as intrinsically and innately tied to the human psyche. Maslow suggests this inner capability is what contributes to the existence of the evolution of self and self-actualization. Maslow also relates this inner nature with creativity.

Maslow purports creativity in self-actualizing people is spontaneous and easy, as well as less concerned with the absolute truth or correct answer. Figure 5 illustrates Maslow’s hierarchy. SELFACTUALIZATION EGO (Esteem) SOCIAL (Belonging) SAFETY/SECURITY PHYSIOLOGICAL Figure 5 MASLOW’S HIERARCHY OF NEEDS (Adapted from Maslow’s Need Hierarchy, Abraham Maslow, 1954) Maslow (1970) also discusses intuition and its suppression in his theory of denial. Here, he states, people tend to suppress their intuition or creativeness out of fear of knowing themselves or to avoid identifying personal areas in need of development. This is similar to rational versus non-rational thought processes and was discovered in the literature to contribute to less identification of intuition in decision-making.

Maslow indicates when one has knowledge, action follows and choices can be made without internal conflict. However, with such self-discovery comes responsibility for action and often means change accompanies such actions that typically go against some norm. Therefore, Maslow suggests, most people take the path of least resistance; they conform to rational norms, behaviors, and thought processes that are acceptable to the majority. This tendency is sometimes described in decision-making situations as siding with the status quo, a common and sometimes dominant response. Salton’s Organizational Engineering theory agrees with Maslow’s underlying precepts.

Intuition is available to all and is an innate part of the human structure. Salton makes no assertions as to why people are as they are beyond those dictated by the environment within which they exist. Concepts such as self-discovery and selfactualization lie in the realm of psychology and by Salton’s Organizational Engineering standards may or may not be true. While the other factors and causal sequences Maslow notes may be meritorious and worthy of pursuit, Salton claims only to be able to explain observed behavior by reference to method and mode. For example, physics explains how nuclear energy can be produced, but does not tell society what to do with it.

Similarly, Salton explains how intuition arises; he does not assign a generalized value to it. Intuition is viewed simply as one of many variables needed to run a successful social structure or business enterprise (Salton, 2000). Therefore, Salton’s views do not contradict those of Maslow. In fact, Salton agrees with Maslow’s core thinking but is indifferent to the applications. As in the case of Jung, there is no need to design an experimental study to disprove one or the other; both schools of thought can coexist. While Maslow suggests an individual’s motivation and subsequent actions are based on their needs, Salton suggests an individual’s actions are based on their preferences.

Researchers Researchers, academicians, and writers most noted for their contribution to the use or potential use of intuition in business, more specifically, management and decisionmaking include Agor (1983a, 1983b, 1984a, 1984b, 1985a, 1985b, 1986a, 1986b, 1986c, 1986d, 1987a, 1987b, 1988a, 1988b, 1989b, 1989c, 1992a, 1992b, 1992c, 1992d, 1993); Barnard (1938, 1968); Cappon (1993, 1994); Dean, Mihalasky, Ostrander, and Schroeder (1974); Frantz and Pattakos (1996); Isenberg (1984, 1985); Jackson (1989); Kroeger and Thuesen, (1992); Leavitt (1975a, 1975b); Mintzberg (1973, 1975, 1976, 1979); Peters and Waterman (1982); Raudsepp (1981); and Parikh (1994). Others contributors to the study the use of intuition include Vaughan (1979); Goldberg (1983) Rowan (1986); and Emery (1994, 1995). These numerous recent studies testify to the increasing importance assigned the subject of intuition as applied to organized endeavors, such as work or project teams, leader selection and recruitment, organizational design, and research application. The subject matter would seem to be of substantive interest to the academic community. The findings of these researchers will be elaborated upon further throughout this study. One of the first authors to discuss the use of non-logical rocesses in decisionmaking was Chester Barnard in The Functions of the Executive (1968). intuitive, and discussed his research insights in a public presentation: I have found it convenient and significant for practical purposes to consider these mental processes consist of two groups, which I shall call ‘non-logical’ and ‘logical’. These are not scientific classifications, but I shall ask you to keep them in your minds for the present, as I shall use them throughout this lecture. In ordinary experience the two classes of intellectual operations are not clearly separated but meld into each other. By ‘logical processes’ I mean conscious thinking which could be expressed in words or other symbols, that is, reasoning.

By ‘non-logical processes’ I mean those not capable of being expressed in words or as reasoning, which is only known by judgment, decision or action. (p. 302) It seems to me clear that, whatever else may be desirable, it is certainly well to develop the efficiency of the non-logical processes. It is the process by which an immense amount of material is unconsciously acquired for the mind to use, and intelligence can aid in selecting the field for action, the line of experience, that is promising. (p. 321) Barnard suggests both logical and non-logical thinking is necessary in the everyday affairs of a successful manager. In fact, Barnard’s theory of cooperative behavior in formal organizations may be considered a forerunner to the shared values discussed in today’s corporations.

Barnard (1968), along with Herbert Simon (1977), argue organizational decisionmaking is a distributed activity, extending over time, and involving a number of people. Because decision-making is a process rather than a discrete event, one critical management task is to shape the environment of decision-making in a way that produces desired ends. This perspective contrasts sharply with the psychological theories which view decision-making as a personal responsibility, rather than as a Barnard suggests that managers use non-logical decision-making, which balances rational and shared, dispersed activity an individual must orchestrate and lead (Barnard, 1968 and Simon, 1977).

Given Barnard’s perspective on distributed decision-making and the value of intuition within the executive’s skill repertoire, it is reasonable to suggest that Barnard believes intuition is a phenomenon which should be reorganized and managed like any other element in the decision-making environment. If this inference is true and if managers follow Barnard’s prescription, even without knowing it. This study hypothesizes Salton’s intuitive strategic profiles of Relational Innovator and Reactive Stimulator will be distributed within working groups and those groups making the most important decisions will tend to have greater representation of the intuitive patterns (Salton, 2000).

Salton seems to support Barnard’s position regarding the importance of intuition as a component of organizational decision-making, and emphasizes Organizational Engineering’s value as a tool to describe group as well as individual decision-making behaviors (Soltysik, 2000). Therefore, Organizational Engineering incorporates both Barnard’s organizational theory, as well as Jung’s psychological approach to the use of intuition. Westcott (1968) was one of the first to do experimentation examining psychological research on intuition. In fact, he is one of only a few researchers, to date, involving only about a dozen studies for a period of about fifty years which had described, observed, or attempted to measure to some degree the function of intuition. Westcott believes intuition or intuitive knowledge is learning process-related, rather than detail- or contentrelated.

He further suggests intuitive knowledge is generally not acceptable to the general public, which on the whole, requires a more rational approach. Westcott (1968) defines intuition as occurring when an individual reaches a conclusion on the basis of less explicit information than is ordinarily required to reach that decision. Westcott (1968) conducted studies of intuition with college students. He classified them on the basis of their ability to solve problems using as few clues as possible and labeling those using the fewest number of clues as intuitive thinkers. These studies examined intuition as inference and subliminal perception, and found that individuals varied in the amount of explicit information they needed before attempting to solve problems.

Westcott’s findings are generally compatible with Salton’s Organizational Engineering theory. Like Wescott, Salton theorizes individuals will differ in the amount of explicit information they need to resolve problems and issues. Unlike Westcott, however Salton sees this as an outcome of the strategy used, rather than as an innate quality of the individual using it. Again, Salton is indifferent to the judgmental attributes assigned to intuition, such as Wescott’s self-confidence attribution, seeing this as immaterial to his study of intuition. Salton’s Organizational Engineering theory agrees with Westcott as it relates to intuition and the need for information by the subject in order to make a decision.

However, Salton’s sees intuition as a strategic preference, which deliberately trades speed of response for certainty of outcome. Put another way, an individual processing information at higher speeds is presented with more opportunities to get it right, given the outcome levels of risk and importance. Westcott, on the other hand, sees intuition as an innate human quality influenced by the structure of the mind, and perhaps requiring the individual to process information in a more structured manner regardless of the situation. The basic definition of intuition remains the same, but the amount of information needed by an individual prior to making a decision may differ sharply between Westcott and Salton’s methodology.

The systematic data available from the research study database and the relatively thin data and loose rigor of Westcott’s study precludes a definitive resolution of differences between Westcott and Salton’s Organizational Engineering theory. For this study, it is sufficient to note the behavioral outcomes of both theories are consistent. Thus, any choice between them would rest on their value in organizational application, as well as in future research and the expansion of knowledge. In this regard, Salton’s work with its greater scope, and higher scientific rigor with verifiable results and predictive capabilities, would seem to be the more attractive alternative for business applications.

Clark (1973) questions the notion of developing intuition. He notes intuitive knowledge tends to be general rather than specific, subjective rather than objective. Thus, it is characteristically experienced as subjectively meaningful. It is important to note that having intuitive capacity and/or capability does not necessarily mean one uses it or can develop its use. Therefore, the capacity for intuitive problem-solving was found to be significantly related to mathematical aptitude, self-confidence and individual spontaneity (Clark, 1973). Breakthrough research was conducted in the 1960s and later documented in the book Executive ESP (Dean, Mihalasky, Ostrander, and Schroeder, 1974).

This major study brought together the two elements of intuition and decision-making in management (Agor, 1984b). This study measured how CEOs of various corporations performed on tests for ESP and how this skill was linked to higher corporate earnings performance for respective organizations. Dean, Mihalasky, Ostrander, and Schroeder sought to identify intuition as a factor, which would help distinguish the extraordinary manager from the merely competent. The study spanned more than three years during which over 5000 tests were recorded and measured. The hypothesis was to validate management level personnel, in determining the importance of future information, relying upon the use of intuition.

This study found the executives with the highest scores also corresponded respectively to companies with the best records of increased profits. Their findings suggest these results do not prove profit making and precognitive ability are related. However the results do indicate the probability of achieving superior profit making is enhanced by choosing a person who scores well in precognition ability (Dean, Mihalasky, Ostrander, and Schroeder, 1974). Again, Salton’s Organizational Engineering theory is consistent with the work of Dean, Mihalasky, Ostrander, and Schroeder. Unlike Dean, Mihalasky, Ostrander, and Schroeder, it does not view intuition as the outcome of some undefined process such as ESP.

Yet, it also does not deny there may be process available to humans yet to be recognized. Stripped of the ESP references, Salton suggests that intuitive strategic patterns are favored at higher organizational (i. e. leadership) levels. The reason is the nature of the issues being confronted at that level tend to be vague, uncertain and ill defined. The use of structured strategies based on details and explicit relations are a poor fit. By contrast, Dean, Mihalasky, Ostrander, and Schroeder (1974) assume the CEO is the decision-maker. Their theory does not recognize the existence of other, lowerlevel decision-makers who also simultaneously influence successful outcomes.

Barnard (1968) on the other hand, sees the CEO as one variable among many within a network of decision-makers. It is notable that Salton equally supports both theories. The individual intuitive abilities stressed by Dean, Mihalasky, Ostrander, and Schroeder are characterized by choice of method and mode. The network aspects stressed by Barnard are comparable to the group-based methodologies suggested within Salton’s Organizational Engineering theory. The reconciliation of the two theories can best be seen in Organizational Engineering’s Leader AnalysisTM which describes the ease or difficulty with which a leader will experience when attempting to persuade a group of individuals toward his or her preferences.

The analysis measures the leader’s preferences along a continuum and compares them to the composite preferences of the subordinate group. The greater the discrepancy, the more difficulty the leader will have with others in the organization — whether their preferences are founded on ESP or some rational basis (Salton, 2000). Dean, Mihalasky, Ostrander, and Schroeder, (1974) reinforce their argument through anecdotal evidence. For example, they cite business notables who had acknowledged they used intuition in the process of making decisions such as Leon Hess, Amerada-Hess Oil Co. ; Conrad Hilton, Hilton Hotels; William C. Durant and Alfred P. Sloan, General Motors; Charles Kemmons Wilson, founder of Holiday Inns; Dwight Joyce, President, Glidden Co. and Benjamin Fairless, former Chairman of the Board of U. S. Steel just to name a few. Anecdotes are also used by Kanter (1977) who suggests Cornelius Vanderbilt, instrumental in building the railroad, acted on impulse and intuition, and could not explain his process for making the decisions he enacted. Ray and Myers (1986) discuss notable business leaders in their Master’s classes at Stanford University’s Business School who acknowledge using intuition in making decisions. Some of those identified are: Alexander Poniatoff, Founder and Chairman of the Board, Emeritus, Ampex Corporation; Paul Cook, Raychem; Robert Marcus, Alumax; Steve Jobs, Apple

Computer; Charles Schwab, Charles Schwab Discount Brokers; James Treybig, Tandem Computers; Nolan Bushnell, Atari; and Bob Swanson, Genentech. Rowan (1986) presents anecdotal evidence, citing a multitude of business leaders who reported they used intuition in significant decision-making situations. The most prominently identified were H. Ross Perot, founder, Electronic Data Systems; Ray Kroc, former Chairman of McDonald’s; Mary Kay Ash, founder, Mary Kay Cosmetics; Edgar Bronfman, Chairman, Seagram; Debbi Fields, founder of Mrs. Fields’ Cookies; Fred Smith, founder of Federal Express; and John Fetzer, former Owner of the Detroit Tigers, and founder, Fetzer Broadcasting Company. This support of anecdotal traits has continued in current research.

Spitzer and Evans (1997) make reference to such well-known leaders in business and academia as Scott Davidson, CEO of ICI Acrylics; Ray Marshall, former Secretary, U. S. Department of Labor; Ralph Larsen, Chairman and CEO, Johnson & Johnson; Richard Teerlink, President and CEO, Harley-Davidson; and C. K. Prahalad, Professor, University of Michigan. While the list of people identified as using intuition is impressive, it is nonetheless, anecdotal, whether self-reported or observer-noted. An anecdote is a personal account of some incident or event (Encarta, 1999). As such, anecdotal evidence is a form of proof, based on hearsay or self-report. Thus, it has minimal value as a foundation upon which to base empirical research.

During the mid-1970s Harold Leavitt (1975a, 1975b), a managerial psychologist, discussed the consequences of over-emphasizing analytical problem-solving in management education. Leavitt coined the term “Analysis Paralysis”, suggesting the intuitive and emotional elements of information processing deserve the same attention as the logical and analytical. He (1975b) notes his discomfort with the concept of intuition and his rationale for not wanting to research it further. Leavitt’s articles were published following the first major research study on intuition (ESP) done by Dean, Mihalasky, Ostrander, and Schroeder, (1974) as previously discussed.

Later, Leavitt as reported by Ray and Myers (1986) while lecturing at Stanford University, discussed a concept he labeled pathfinding, which refers to how people define their personal mission. He identified three approaches: proactive, reactive, and enactive. He defines enactive as working on a problem until the individual finds the right path or solution, trusting the problem and solution constitute a personal dialogue, an exercise in communication between one’s inner and outer selves. This form of intuition places high trust in an undefined process that guides an individual’s choice to select a right choice or solution. While Leavitt omitted the term intuition in his writings, it appears he subscribes to the belief in some existing variable the guides the decisionmaking process.

Henry Mintzberg (1976) reported the results of his brain dominance research of management in his classical piece published in the Harvard Business Review. He suggests management researchers have not been successful in finding the perfect technique for managing because critical elements have been overlooked, i. e. , the right hemisphere of the brain controls emotional, intuitive, creative, non-linear, visual, spatial, and relational thinking processes (Agor, 1984b; Isaack, 1978; and Mintzberg, 1976). Mintzberg (1973, 1975) had earlier noted observations of five chief executives whose decisions were made primarily through impressions, feelings, hearsay, gossip, and other sources, rather than relying on empirical data.

The terms most often referenced by Mintzberg are hunch and judgment, which he describes as incorporation of the thought processes, which the intellect does not articulate (1976). Isaack (1978) also uses terms like hunch, guess, and feel, to describe intuition as used in decision-making. Mintzberg (1976) emphasizes that managers need more than analytical skills to do their jobs well; they also needed the intuitive (right brain in Mintzberg’s terms) skills. However, he does not suggest managers discard the use of analytical thinking. Rather, he argues for a balance between analytical thinking and intuition. He notes how very little is mentioned in management textbooks on the topic of intuition during the mid-seventies.

When reference was made in management textbooks, three of twenty-four stated intuition should not be considered in the study of management Vaughan (1979) sees intuition as a non-rational or non-linear mode of knowing. However, she states intuition has the capability of being developed and therefore has the aspects of being both a capacity and an experiential inference. This view has had very little empirical research to test whether people can actually develop intuition. Vaughan agrees with Maslow regarding the significance of experiencing intuition because it affords personal freedom, which is then expressed in personal choices and decisive action.

In addition, both Vaughan (1979) and Maslow (1970) contend there is a connection between intuition and creativity. Vaughan believes there is a close relationship between using intuition and one’s willingness to risk discovery of one’s deeper self-regarding life experiences. This view is entirely consistent with Salton. Salton’s Organizational Engineering theory argues intuition and creativity are simply points along the same continuum running from weakly defined suspicions to highly articulated, actionable proposals. The use of an unpatterned method and a thought mode increases the probability of finding the unexpected. If the discovery is of a new ill-defined relationship, which has not been recognized but can be acted upon, it can be termed intuition.

If the same process yields an explicit discovery that can be articulated and defined, it can be termed creative. While there are similarities between Salton’s view of intuition and that of these other theorists, there are also differences. For example, Vaughan defines intuition in terms of experiences being dealt with in four distinct and separate levels of awareness. These include the physical (i. e. , heart rate or sense of uneasiness), emotional (paying attention to one’s feelings or expression in the artistic world), mental (inner awareness/vision or creativity), and spiritual (holistic perception of reality transcending rational) as cited in Brown (1990).

Vaughan states: Experiences, which are commonly called intuitive, include mystical apprehension of absolute truth, insight into the nature of reality, unitive consciousness, artistic aspiration, scientific discovery and invention, creative problem-solving, perception of patterns of possibilities, extrasensory perception, clairvoyance, telepathy, precognition, retrocognition, feelings of attraction and aversion, picking up ‘vibes’, knowing or perceiving through body rather than through rational mind, hunches and premonitions. (Clark, 1973, p. 156) Vaughan’s book entitled Awakening Intuition (1979), could best be characterized as a prescription for understanding and developing tools in the area of intuition capability. The three steps involved in awakening an individual’s intuition are: (1) quieting the mind; (2) focusing attention on the issue at hand or desired and (3) accepting or developing a non-judgmental frame of mind which allows intuitive thoughts to flow freely. Vaughan reported that many of her adult patients feel they were more intuitive as children and had since curtailed the use of intuition due to ridicule and skepticism from others (Agor, 1984b).

Salton’s methods for developing one’s intuition is radically different from Vaughan’s. In a series of publications, Salton (2000) outlines methods of developing different strategic styles. The exact strategy for emulating the ReIational Innovator/Reactive Stimulator depends on the strategic style a person currently prefers to use. Therefore, there is no universal one size fits all prescription. However, all of Salton’s prescriptions distill down to use whatever information is available (rather than searching for it), quickly testing its viability relative to the issue needing attention (rather than planning), and rapidly discarding things which do not work.

This strategy allows a high volume of tests and, every once in a while, something unexpected will surface. As this strategy is practiced, ever-greater volumes can be processed, therefore significantly increasing the likelihood of involving intuition and creativity. Vaughan’s (1979) research concerning imaging, as it relates to intuition, asserts meditation is an extremely productive method to increase intuitive awareness. Dean, Mihalasky, Ostrander, and Schroeder (1974), and Goldberg (1983) also support this thinking. However, Vaughan cautions that information gathered during an exercise of imaging is not judged on face value, as the event may not present itself until a later time versus closer to the present.

Salton’s views imaging as a good vehicle for discovering unexpected relationships. Unlike analysis, imaging involves visualizing a situation in all of its complexity as a single episode. This increases the likelihood something unexpected will be discovered. Analytical structures preclude this phenomenon due to the focus on using predetermined formulas, methodologies and proven techniques. Raudsepp (1982) believes the steps used in intuition are the same as those used in analytical methods, merely faster processing. This view supports the notion that intuition occurs without one knowing how they know or upon what one’s thoughts, experiences, and knowledge are based.

Raudsepp (1982) defines intuition as an experiential, holistic way of knowing or reasoning where the weighing and balancing of evidence are carried on unconsciously. Although a certain amount of fact finding and data gathering are necessary when using intuition not every decision or problem to be solved uses intuition. Similarly, he suggests the use of intuition in complex problemsolving results in the identification of other opportunities not necessarily noticed or developed by those who are using greater levels of details and seeking more facts. In summary, Raudsepp (1981) suggests: Usually, intuitive thinking rests on familiarity with the domain of knowledge involved and with its structure, which makes it possible for the thinker to leap about, skipping steps, and employing short cuts in a manner hat requires a later rechecking of conclusions by more analytic means, whether they are deductive or inductive. (p. 36). While they may disagree on the cause of intuitive behavior, Raudsepp and Salton agree on the practical outcomes of its use. Quickly apprehending things readily at hand, rapidly applying them to an issue of interest, and discarding those which do not work. Cosier and Aplin (1982) imply intuition is closely allied with ESP. Current research challenges this stance, and therefore Cosier and Aplin’s views are not widely accepted or cited in the literature. Peters and Waterman (1982) assert the use of a rational model in decision-making is contributing to the decline of productivity and quality in America.

Peters and Waterman, as reported by Catford (1987), while researching excellent organizations found that successful decision-making and problem-solving are more inspirational than rational involving attention to several factors simultaneously. They suggest business schools have trained inexperienced managers to think the correct answer can be obtained through analysis based on numerical data. Rowan (1987b) agrees our society and business schools in particular put heavy emphasis on left brain thinking which encourages analysis paralysis. Unlike the work of Cosier and Aplin (1982), Rowan’s position is based on a logical foundation and should be seriously considered.

Management Oriented Research Weston Agor has done the most recent and extensive research in the field of intuition in management decision-making. Agor is retired from the faculty of the University of Texas–El Paso and was founder of The Global Intuition Network, now known as the Intuition Network. Agor (1983c) suggests “managers in the future will need to make decisions in a more rapid manner and with less complete data”. Therefore, managers who develop their intuitive skills will be more adept at making decisions. This timeliness in making those decisions can be the difference between success and failure. Agor (1984a) concludes most decisions are made either on the basis of incomplete information or because information is not available within the time restrictions.

Agor (1986a, 1986c) studied, over a period of two years, 2,000 managers using a portion of the Myers-Briggs Type Indicator which later developed into what is now known as The AIM Survey. This study indicates top executives rated significantly higher in intuition than middle or low level managers. Agor (1986) completed a follow-up study of 200 of those executives who scored in the top 10 percent on the intuition scale from others surveyed using a more specific set of questions. Of these 200 surveyed, seventy responded and all but one of the executives stated they used their intuitive ability to guide their most important decisions. They further went on to clarify intuition was not their only tool but it was an important management resource.

Agor (1984a, 1984b) found the ability to use intuition and the frequency of its use varies by management level, type of organization, sex, occupational specialty, and ethnic background. Top management scores higher than middle management in both use and frequency, and middle managers in turn score higher than lower level managers. His research also shows top managers display greater potential intuitive ability than middle or lower level managers. These results are consistent with Salton’s Organization Engineering theory. In addition, the progression is geometric making it mathematically impossible for purely analytical methods to be applied in all facets of a senior executive’s area of responsibility.

Therefore, the ability to effectively use partial information and to generate resolutions without full specification of the process will become increasingly valuable and the strategies of Reactive Stimulator and Relational Innovator work best within these environments. Agor (1984a, 1984b) concluded from his research that subjects in his study were more likely to use intuition where the following conditions existed: a high level of uncertainty; little precedence exist; variables are not scientifically predictable; facts are limited or do not indicate a path to travel; use of analytical data is not appropriate at the time; multiple realistic alternative solutions exist; and/or time is of the essence.

These are exactly the conditions which favor the combined styles of the Relational Innovator and Reactive Stimulator strategy, in Salton’s Organizational Engineering Agor also reiterates the importance of knowing the different personality types and brain dominance patterns with regards to staff positions with individuals whose strengths are aligned with the desired work results. He also states where this is not done properly less than optimal, if not dismal outcomes may result. Hermann (1981) states this same basic principle from a different perspective, suggesting people tend to become employees where they can do work which best fits their preferences.

Both Agor’s and Hermann’s position on these issues are fully compatible with those parts of Salton’s theory, people will tend to seek environments favorable to their elected strategy and will therefore be aligned with the demands of the position. However, unlike Agor and Hermann, Salton allows for shifts in the preferred strategic profile, permitting alignment to be realized over time. Both Agor and Hermann suggest the alignment is more static and individuals can only be aligned if their position is changed in character. Goldberg (1983) describes the use of intuition in a range of human functions, from how the mind works to developing one’s intuitive abilities, to using it in decision-making and problem-solving. He suggests intuition is often defined in terms of what it is not, rather than what it is.

For example, Goldberg distinguishes the difference between intuition and ESP as precognition (intuition) and an extension of our five senses already present (ESP). Goldberg like some of the other experts links closer the relationship between rationality and intuition as being complementary rather than separate and distinct. In fact, he even goes so far as to say intuition is a part of rational thinking (1983). Agor (1984b) points out a limitation of Goldberg’s book in that it was not based on actual field testing nor did it contain detailed descriptions on specific management situations in which to use intuition. And uniquely. Sprecher (1983) prefers to think of intuition as merely a subset of logical thinking. Salton’s theory incorporates all of the above observations; i. . , intuition is just a position on the method and mode continuums. Although sometimes distinct other times complementary, all types can be accommodated within Salton’s Organizational Engineering theory. Isenberg (1984) studied a dozen executives by conducting interviews, work observations, talking to colleagues/subordinates, reading logs/diaries, and engaging them in various exercises over a two-year period. The managers ranged from entrepreneurs to division-level managers within Fortune 100 companies. While Isenberg was not able to clearly identify a linear rational process, there was a tendency to combine rational with intuitive processes.

This integrative approach is also identified in later studies and articles on the subject. What he (1984) did find is two-thirds of those studied are preoccupied with a very limited number of quite general issues: In making their day-to-day and minute-to-minute tactical maneuvers, senior executives tend to rely on several general thought processes such as using intuition; managing a network of interrelated problems dealing with ambiguity, inconsistency, novelty, and surprise; and integrating action into the process of thinking. (p. 84) He suggests there are five circumstances in which intuition is used: First, they intuitively sense when a problem exists. Second…to perform well-learned behavior patterns rapidly.

A third function of intuition is to synthesize isolated bits of data and experience into an integrated picture… Fourth…as a check…on the results of more rational analysis. And, Fifth…to bypass in-depth analysis and move rapidly to come up with a plausible solution. (p. 85) The most important of these five circumstances he identifies is of the inner knowing sense versus the rational or data analysis. Isenberg (1984) states intuition comes from extensive experience with analysis, problem-solving, implementation, and to the extent the lessons of experience are well founded, then so is intuition. problem is sensed to be happening, prior to identification. big picture, which he termed the “AHA! ”. Herbert Simon (1987) discusses the role of intuition and emotion in management decision-making.

He refers to Barnard’s logical and non-logical processes, and to splitbrain research to explain his view of analytic (rational) and judgmental (intuitive) decisions. He best sums up his research position by saying: It is fallacy to contrast analytic and intuitive styles of management… the effective manager does not have the luxury of The importance of intuition occurs at the problem-solving/decision-making time as well as at the time a Isenberg describes the phenomenon as everything finally coming together in either an experience or seeing a choosing between…approaches to problems. Behaving like a manager means having command of the whole range of management skills and applying them as they become appropriate. (p. 63) Again, the thinking of both Isenberg and Simon are reflected in Salton’s theory.

The selection of the method and mode continuums does not address the degree of expertise which those positions can be manifested. Salton’s (2000) general rule of practice makes perfect especially supports Isenberg’s concepts. Naisbitt and Aburdene (1985) take a futurist approach to the subject of intuition in management and relate it to western civilization, which they contend is more analytical than intuitive its decision-making and problem-solving processes. These researchers contend chief executives use intuition or more holistic thought processes regularly in circumstances where planning, decision-making, and complex problem-solving are too complex for rational models, or when information is limited. Again, this thinking is entirely consistent with Salton’s theory.

Eisenhardt (1989), tracking the decision-making processes in twelve microcomputer firms, conducted extensive interviews with members of top management teams, used questionnaires, observed group meetings, and examined various secondary data. The study showed rapid decision-making is linked to such characteristics as being decisive, operations-focused, hands-on in work style, and being instinctive by nature. This rapid decision-making is then measured against effective performance. As an example of behavior linked to rapid decision-making, Eisenhardt finds executives gather real time information on firm operations and on the competition’s environment. This suggests the presence of a deep, intuitive grasp of the business operations.

Salton’s Organizational Engineering research is consistent with Eisenhardt’s finding of rapid decision-making, which, she reports, is effective. However, Salton’s theory qualifies this by noting it is effective in the particular industry she studied. Microcomputers were rapidly evolving during the period of her research and there was minimal reliable structure available for extensive lengths of time, a condition favoring unpatterned strategies. For example, it is unlikely Eisenhardt would recommend her theory be applied to a brain surgery situation in a hospital. Salton’s Organizational Engineering theory does accommodate Eisenhardt’s theory given when it is applied to real limitations.

Cappon (1993, 1994), a medical doctor and psychotherapist, is convinced based on his practice that everyone has some capacity for intuition, even though not everyone uses it: those who do use it, do not always apply its use equally. He suggests intuition can be trained and this is based on his use of “IQ2” (instrument designed to measure for actual capacity). This is a predecessor to his Cappon Intuition Profile, used to test for the likelihood of intuitiveness that was developed in 1989. Cappon believes the reason people either do not use it or do not admit to using it is because intuition is not necessarily processed consciously, and is therefore suspect.

Cappon (1993) began his studies of intuition with the hypothesis it is the secret to success in most endeavors, even in business environment. He tested more than 3,000 clients and found women do not have more intuition than men do. He attributes this false belief that women use more intuition to Western societies being dominated by males, and scientific thinking, of which both distrust intuition. Cappon also suggests intuition has been viewed negatively because the process itself is almost unconscious. These negative views because scientific research bias that further forced it underground. The intuitive process thus becomes masked and its relative importance greatly obscured.

Cappon (1993) extended his research to measure 20 specific skills: • • • • • • • • • • • Perceptual closure on insufficient time; Perceptual closure on insufficient definition; Perceptual recognition; Positive perceptual discrimination; Negative perceptual discrimination; Synthesis or Gestalt insight; Time flow estimation; Retrieving memory or quick memory; Passive imagination; Psycho-osmosis or knowing the unknown; Stimulated imagination; • • • • • • • • • Active imagination; Anticipation or foresight; Optimal timing of intervention; The hunch or seeing the solution before you have it; The choice or best method; The choice of best application; The hindsight (uses empathy and identification in order to divine the cause of things); Associative and disassociative matching; and Seeing the meaning of things.

Cappon’s request to administer his research instrument was not well received among some intuition-sensitive companies which feared the public would lose faith in them if they were thought to be operating on gut feeling. Interestingly however, companies in the manufacturing industries willingly agreed to use Cappon’s instrument. Cappon’s research contribution points out how informal judgments on the use or study of intuition can generate some heavy skepticism. The same is not true of Salton’s Organizational Engineering theory, because its instrument does not require summary judgments based on classification of observed behavior. Rather, these observations confirm the validity of the instrument’s findings.

Parikh (1994) conducted intuition research on 1312 managers from large nongovernmental industrial and service organizations located in nine countries: Austria, France, Japan, the Netherlands, Sweden, the United Kingdom, the United States, Brazil, and India. Parikh’s findings suggest many managers use intuition; intuition contributes to business success; and intuition contributes to harmonious interpersonal relationships. Specifically, respondents perceived the following areas as important for the use of intuition: corporate strategy and planning; marketing; public relations; human resource development; and research and development. Parikh’s research is entirely in line with Salton’s Organizational Engineering theory. The applications Parikh cites are inherently unstructured in nature and would favor the unpatterned strategies of the Relational Innovator and Reactive Stimulator.

Spitzer and Evans (1997) discuss a meta-study done by Kepner and Tregoe using content experts to: (1) examine the state of problem-solving and decision-making in business today; (2) conduct a detailed examination of their client base to determine whether their problem-solving and decision-making are effectiveness as that of the best in the world; and (3) interview management experts and researchers, such as Ken Blanchard, Henry Mintzberg, Tom Peters, Peter Senge, Noel Tichy, and Stuart Varney. Kepner and Tregoe had three hypotheses when they began their inquiry: 1. Consistently good decision-makers use a consistent process that differs from mediocre or poor decision-makers. 2. Good decision-makers can describe the process they use. 3. The decision-making process can be codified and taught to others.

Results found the first and third hypotheses were significantly supported, while the second hypothesis was not supported. As a theorist, Salton is concerned with how human decisions are made both by individuals and groups. Judgmental terms, such as good decision-makers can be seen as inappropriate because the term good depends upon a pre-defined measure. Joel Kurtzman, former editor of The New York Times business section and The Harvard Business Review, (Ray and Myers, 1986) suggests: The rational process is linear. It’s when you are putting your facts in order and looking at them, weighing them, and making a decision based on the importance you assign each fact. Intuition is looking at the same facts and trying to see a pattern.

The patterns aren’t always evident because they are not linear. That’s where intuition is very valuable. You look at a set of variables, and suddenly it snaps into your mind that there’s a pattern. The ability to recognize patterns is intuitive. Rational and intuitive thinking is not mutually exclusive. (p. 177) The existence of two different types of information processing, one analytical and rational, the other more intuitive and non-rational, have been verified by scientific studies investigating the two hemispheres of the human brain (Ornstein, 1972). Over the past twenty years, this research has made a distinction between the hemispheres of the brain.

People are described as either left-brain thinkers, who rely on logic and rationality, or right-brain thinkers, who tend to use intuition and creativity in making decisions–the premise being that each person prefers one style of thinking more than the other, but is not limited to a single style. A position suggests that a balance between the two opposites is the more desirable, either from an individual applications perspective or one using two or more people in a group decision-making process. Salton’s Organizational Engineering theory does not take a position on the biological determinants of human behavior including brain dominance research. However, Salton objects to the position a balance between the two is some kind of ideal or optimal.

Salton’s Organizational Engineering theory looks at the desirability of a particular kind of decision-making as being determined by the context being addressed. For example, if a decision is required during an operation involving extraction of a brain tumor, it can be argued linear thinking based on tested science is the best strategy. A decision involving the purchase of a forward contract on the commodity exchange may be better served with an intuitive strategy. The idea that there is some kind of common decision-making process integrating both preferences is summarily rejected by the engineering orientation of Salton’s Organizational Engineering theory.

Other researchers do agree intuition is not only a personality trait, but also agree the right cerebral hemisphere functions for intuitive choice, while the left hemisphere is analytical (Agor, 1984a, 1984b; Lynch, 1980; Hermann, 1981; and Zdenek, 1983). Ned Hermann ‘s research on creativity in the mid-1970s at General Electric confirmed that different areas of the brain are used for various types of cognitive processing (Talbot, 1989/90). This research was further verified with Hermann Brain Dominance Instrument research (Hermann, 1989). Thornton (1971) suggests intuition can be differentiated from other forms of cognitive abilities and, in particular, from reasoning. Intuition is also an active mental process found as front-end principles in mathematics and science. Thornton also concludes intuition can be used to learn more about oneself, about others, and about the world.

Therefore, Thorton sees intuition as a means of self-awareness, rather than as an approach to explaining organizational functions. Riggs (1987) studied the use of intuition in management and compares intuitive abilities, management styles, and management types (executive, middle, and lower level managers), the were managers of major corporations in Washington state. Riggs used an early version of Agor’s Test Your Management Style questionnaire as well as follow-up telephone interviews with those who scored in the top ten percent on the intuitive scale. Contrary to Agor’s previous research, Riggs’ results indicate, there are no significant differences for intuitive ability, management style, or management type between various levels of management.

However, consistent with Agor’s research, additional information obtained as a result of her telephone interviews reveals (1) managers who scored the highest on the intuitive scale used intuition when making major business decisions, (2) knew they were using intuition, (3) often disguised their intuitive decisions, but (4) considered themselves intuitive decisions-makers. Riggs offers a weak design protocol, but does serve to reinforce the previously cited view of Cappon’s studies attempting to directly address intuition through questionnaires, which are challenged to overcome a reporting bias. Such a data collection challenge may suggest the relative importance of intuition is probably understated as a managerial tool. The other important finding of Riggs concerning the variance of intuition by hierarchical level, is an important aspect of this study’s design.

Blackwell (1987) studied a small sample of a higher education population with a questionnaire using measures from Agor’s Intuitive Management survey and Goldberg’s Are You Intuitive? test, along with questions asking about the frequency of intuitive experiences. Blackwell concludes managers scored higher than non-managers and women score higher than men do. Blackwell also indicates brain organization tentatively suggests a linking to intuition. Furthermore; a balanced style of intuition and reasoning may suggest some relationship to a visionary leadership style. Catford (1987) tested fifty-seven business professionals using problem-solving models on a survey with a demographic assessment instrument and the Myers-Briggs Type Indicator (MBTI).

Catford concludes the MBTI would not be a good indicator for determining what actual problem-solving strategy business professionals will use. Catford’s research finds middle and senior management experience intuition in their decision-making processes. Catford finds those comparison scores between senior and middle managers do not appear to factor in the participant’s experience with the use of intuition in decision-making situations. Furthermore, she concludes the comparisons of senior and middle managers’ high and low degrees of intuitive experiences are proportionate to the sample size studied. Blackwell’s findings reinforce Agor, while challenging Rigg’s position on the variance of intuition by hierarchical level position. However, Rigg’s position is supported y the findings of Catford who concluded the senior and middle manager results were in proportion to the sample size versus correlated to their hierarchical position. Taylor (1988) researched the intuitive decision-making experiences of ten managers using a case analyses and questionnaire. Taylor’s research supports the view that middle and senior managers experience intuition in their decision-making processes. Other factors which influence their decision-making are: the quality of their managerial experiences; relationships within their organizations; their rational tendencies and the rational forces in the environment; their intuitive predisposition; and their individual degree of intuitive development.

Furthermore, Taylor finds intuition occurs around certain kinds of management decisions involving people judgments, decision-making in a situation where no problem-solving precedent has been established, or around incomplete problem scenarios. Taylor’s findings are consistent with Salton’s theory; the strategy being used will tend to be aligned with the issue in question. However, this contradicts Ornstein’s (1972) expectation that some kind of overall optimal is to be sought between intuitive and rational methods. Brown (1990) studied fifty-two school superintendents using the MBTI, as well as on-site observations of four of the superintendents. Of those responding (17 of 52); five were very clearly intuitive, five were clearly intuitive; five were moderately intuitive, and two measured minimally intuitive.

Brown (1993) also researched intuition among advertising agency employees. This study measures intuitive responses to advertisements, both in terms of their private judgment and as a predictor of consumer response. Brown’s research reveals 43 percent of the subjects would have made more accurate predictions of consumer response had they merely reported their own intuitive judgments only, rather than attempting to rely on their intuitive judgments and the available research data combined. In fact, another factor which was discussed and brings up another dimension is even being able to tell good from bad [research] data. Brown’s (1993) findings are in line with Salton’s Organizational Engineering theory expectations.

The weakly defined variables and structure of advertising make it an ideal venue for the exercise of the unpatterned strategies of Relational Innovator and Reactive Stimulator. This suggests the desirability of an implied balance between intuitive and rational methods is not supported. These findings reinforce the position intuition can be expected to vary by hierarchical level, which argues against some kind of ideal balance as proposed by Ornstein. It also tends to reinforce the findings of Agor, Blackwell, and Salton; while contradicting Riggs and Catford. Instrumentation Different instruments are found for measuring intuition as indicated in Table 1.

Table 1 Instruments Measuring Intuition INSTRUMENT “Test Your Management Style” also known as “The AIM Survey” “The Cappon Intuition Profile” also known as “IQ2” “PSI Game” Dean, Mihalasky, Ostrander & Schroeder, 1974 “Intuitive Quotient Checklist” “Are You Intuitive” “Hermann Brain Dominance Instrument” “The Keirsey Temperament Sorter” “Myers-Briggs Type Indicator” “Questionnaire” “Personal Style Inventory: Gateway to Personal Flexibility” Problem Solving “I-OptTM Survey” Westcott, 1961 Salton, 1994 Emery, 1994 Goldberg, 1983 Hermann, 1989 Keirsey-Bates, 1984 Myers-Briggs, 1983 Parikh, 1994 Taggart & Taggart-Hausladen, 1993 Cappon, 1994 SOURCE Agor, 1989a The commonality among most of the instruments cited is they are based on psychological theory. The contribution of the Salton’s instrument is it is based on information processing theory, an added dimension to the research previously reviewed, none of which is considered in any of the reported research.

The training aspects of Intuition in business have appeared in several forms. Agor (1983b) supports the value of management training programs, which included intuition as well as analytical skills for decision-making that have become an integral part of management education in the 1990s. Universities such as Stanford (Ray and Myers, 1986) and Florida International (Taggart and Taggart-Hausladen, 1993) have incorporated intuition and creativity based courses into their curricula for business students. In fact, Creativity in Business (Ray and Myers, 1986) was based on the Stanford University course of the same name by Ray and Myers (Agor, 1989c).

MIT, through a training company called Innovation Associates, founded by Peter Senge, has been training managers on the use of intuition in management (Agor, 1989c). Senge (1990a) also introduced the use of intuition by managers as part of his mental models in his book The Fifth Discipline. Senge’s personal mastery mental model relates to the work of Agor (1984a), Mintzberg (1976), and Isenberg (1984) with regard to integrating reason and intuition. Senge (1990a) states: People with high levels of personal mastery do not set out to integrate reason and intuition. Rather, they achieve it naturally as a by–product of their commitment to use all resources at their disposal.

They cannot afford to choose between reason and intuition, or head and heart, any more than they do would choose to walk on one leg or see with one eye. (p. 168) Senge (1990a) goes on to state that integrating reason and intuition is not a linear process, cause and effect are not close in time and space…obvious solutions will produce more harm than good…and short-term fixes produce long-term problems. He believes rationality and intuition are not diametrically opposed, but they can be used in conjunction with each other, such as being able to convert intuitive thought into rationally testable ideas. Summary The literature presented in this chapter focuses on intuition and being used in managerial decision-making processes.

Two approaches to the viability of intuition are discussed: one is based on the concept that intuition is potentially available to everyone and can be developed (Vaughan, 1979), and the other that an individual’s type is either intuitive or non-intuitive (Jung, 1971). The literature shows many managers report using intuition, in spite of the deeply rooted practice against non-rational methods (Agor, 1984a, 1984b; Dean, Mihalasky, Ostrander, and Schroeder, 1974; Isaack, 1978; Mintzberg, 1976; and Rowan, 1986). also suggests the influence of intuition or non-rational thought processes is one which has been neglected as a form of legitimate management understanding. The rational or logical thinking mode characteristic of the scientific management era has been the dominant accepted style in practice.

Research which has been done to indicate and illustrate managers’ use of intuition ranges from inferential processes performed with a pre-existing database (Agor, 1986) to acceptance and use of predictive abilities (ESP) (Dean, Mihalasky, Ostrander, and Schroeder, 1974). Even though there has been documentation which indicates the value of the use of intuition (Agor, 1984b, 1986; Dean, Mihalasky, Ostrander, and Schroeder, 1974; Isaack, 1978; Mintzberg, 1976; and Rowan, 1986) in business, there is still a reluctance to readily acknowledge or report its use due to perceived negative reaction (Agor, 1986a, 1986c, and 1986d). Some researchers report, and I believe, successful decision-makers are found to have greater ESP abilities (Cosier and Aplin, 1982; Dean, 1974).

This study, through a comparative analysis of the review of the literature to demonstrates Salton’s Organizational Engineering theory can accommodate many divergent positions (e. g. , Vaughan, 1979 and Jung, 1971). Salton’s research also confirms the position that only a certain portion of the population is expected to be endowed with high levels of intuitive skills (e. g. , MacKinnon, 1962; Parikh, 1994; Peavy, 1963; and Thornton, 1971). Salton’s Organizational Engineering theory also supports differences in gender and intuition research which can help to resolve issues on whether there is a difference. Finally, the role of intuition in the area of organizational It development is addressed by Salton to resolve the issue of whether intuitive bilities vary by hierarchical levels (e. g. , Barnard, 1968; Dean, Mihalasky, Ostrander, and Schroeder 1974; and Riggs, 1987). The purpose of this research is to resolve these opposing positions reported in the literature. In addition, the survey instrument adds a dimension not heretofore available because of previous reliance on psychological theory and measures. Salton’s Organizational Engineering theory relies on information processing and can be seen as adding a dimensionality to the field. In today’s ever-changing business environment, application of organizational theorists’ views on rational versus non-rational aspects of decision-making becomes even more relevant.

Current organizations are characterized by ambiguity, diversity, emerging technologies, and cultural mixes, and are ideal environments for testing the use of intuition. Intuition is important in understanding complex organizations which allow individuals to deal with the inherent uncertainty and complexity (Senge, 1990a). Future decision-making using intuition will have a greater role for individuals in leadership positions (Agor, 1984a). Furthermore, inclusion of intuition in leadership models and development activities is repeatedly recommended by several individuals mentioned in this chapter (Agor, 1984a, 1984b; Dean et al, 1984; Senge, 1990a).

Chapter 3, describes the research design, data collection instrument, and data analysis to be used in this study. The population and related sample for measuring the use of intuition in decision-making are described. CHAPTER 3 Methodology The focus of this study is the use of unsystematic strategies by human beings in organized environments. Dr. Salton’s Organizational Engineering concepts of unpatterned method and action mode, which produce observable behaviors consistent with the concept of intuition are also used by other researchers in intuition research. The research question driving this study is: Do various combinations of method and mode produce results that are consistent with the findings other researchers have attributed to intuition?

This chapter describes the methodology used to examine the research question by constructing hypotheses that can be refuted by data collected in the environments within which intuitive behavior is proposed to operate. Variables In Chapter 1, the general theory of Organizational Engineering is outlined. The relevance of Organizational Engineering to intuition research is focused as the use of unpatterned method and the level of action mode. In Chapter 2, the theorists and researchers who have identified and codified variables associated with intuition are described. This review identified multiple findings which can also be tested using Salton’s Organizational Engineering theory. The findings of these earlier theorists can be recast in terms of the large-scale method and mode factors which underlie Salton’s theory.

Positive findings on these hypotheses will answer the research question and support the use of Salton’s Organizational Engineering theory as a foundation for future research and theoretical development. Relational Innovator Dimension Hypothesis H1o Relational Innovator style is not positively correlated with hierarchical position. Hypothesis H1a Relational Innovator style is positively correlated with hierarchical position. The Relational Innovator style is based on the thought mode and will not necessarily display external behavior typically associated with intuition. However, when the unpatterned method is used, this style is given access to the insights, which may arise from the discovery of unexpected relationships.

Researchers (Agor, 1986a, 1986b, 1986c, 1986d; Brown, 1990; and Cappon, 1994) find a relationship of intuition to hierarchical position, thus it is hypothesized a positive correlation shall be found between the strength of the Relational Innovator component and organizational level. The independent variable in Hypothesis 1 is scores on the Relational Innovator scale of the I-OptTM instrument. The dependent variable is the hierarchical ranking of the respondent. The data are drawn from the hierarchical database of the Organizational Engineering Institute. Kendall’s tau-b test is used to test data about hierarchical position, since it uses an ordinal scale not testable using parametric statistics, which requires normalcy conditions apply to the data.

Kendall’s tau is a rank-based, non-parametric method, and hence, does not require the use of the normal curve. Reactive Stimulator Dimension Hypothesis H2o The Reactive Stimulator style is not correlated to hierarchical position. Hypothesis H2a The Reactive Stimulator style positively correlates to hierarchical position. The independent variable in Hypothesis 2 is the Reactive Stimulator scale of the IOptTM instrument. The dependent variable is the hierarchical ranking of the respondent. The data are drawn from the hierarchical database of the Organizational Engineering Institute. This hypothesis states the unpatterned method is combined with the action mode. This contrasts with the thought mode of the Relational Innovator in Hypothesis H10 and H1a.

A positive finding on this hypothesis confirms the importance of the unpatterned method and its associated intuitive behaviors as a component of executive decisionmaking. In addition, if positive results are obtained for both Hypothesis 1 and Hypothesis 2, then documented results support the correlation-based argument that the unpatterned method, rather than the mode, is driving the phenomenon. The same statistical treatment employed for Hypothesis 1 is used to test Hypothesis 2. The finding of a significant difference between organizational levels supports the position the unpatterned method is a component of effective decisionmaking at higher organizational levels. Organizational Level • • Hypothesis H3o The Conservator pattern is not negatively correlated with hierarchical position.

Hypothesis H3a The Conservator pattern is negatively correlated with higher hierarchical positions. If intuitive behaviors are favored at higher organizational levels because the issues confronted are more general and vague, then it should also be true that the lower organizational levels will confront issues of more specificity. In these circumstances, structured methods will be supported as applied to action-based processes at lower organizational levels. The independent variable for Hypothesis 3 is the Conservator pattern measured by the I-OptTM instrument and illustrated in Figure 4. This pattern employs a structured method and action mode. The dependent variable is the hierarchical ranking of the respondent.

The data are drawn from the hierarchical database of the Organizational Engineering Institute. This hypothesis examines whether there is a systematic difference within leadership ranks. In other words, first-level management is expected to have greater levels of the Conservator pattern than higher hierarchical levels. This association will be explored using Kendall’s tau. The association is also expected to be visible between managers and non-managers along all of the dimensions of the Conservator pattern as measured by the I-OptTM instrument. Comparing one group tests this, leaders to another group, non-leaders. Therefore, this test does not involve the rank ordering of position mandated for the use of Kendall’s tau.

Here, the non-parametric Mann-Whitney test is used to test whether the overall strategic profiles of managers and non-managers differ significantly. A positive finding both within leadership ranks and between leadership and non-leadership ranks on the Conservator pattern will test whether or not structured methods are conducive to the generation of insight and whether this varied systematically by hierarchical level. In short, the information processing requirements of hierarchical level are likely to permit or preclude the exhibition of insightful behavior. Relational Innovator/Reactive Stimulator • Hypothesis H4o Research & Development professionals will not have higher Changer pattern scores than will Information Technology professionals. Hypothesis H4a Research & Development professionals will have higher Changer pattern scores than will Information Technology professionals. The basis of these hypotheses is information technology demands rigorous adherence to the structures mandated by the computer. Research and development on the other hand benefits from spontaneously connecting unrelated variables. Therefore, research and development is systematically more intuitive. The independent variable for Hypothesis 4 is the results of the Changer pattern, illustrated in Figure 4, which is a combination of the Relational Innovator and Reactive Stimulator, as measured by the I-OptTM instrument for people occupying positions in Research and Development groups.

The dependent variable is the patterned strategies (Logical Processor and Hypothetical Analyzer), as measured by the I-OptTM instrument for people occupying positions in other than Research and Development groups. The data are drawn from the general database of the Organizational Engineering Institute. The literature review suggested there is an observable difference in intuition based on the functions being performed. By its nature, the Research and Development function favors intuition, because developing new products, processes, and methods involves abandoning, at least to a degree, established structures. If intuitive behavior is being captured by Organizational Engineering’s unpatterned method, it is expected the tyles using this unpatterned method are more in evidence in the Research and Development function than in the general population. A positive finding on this hypothesis supports the thesis that the informationprocessing model, which underlies Organizational Engineering, is an adequate or at least viable explanation of intuitive behaviors. Hypothetical Analyzer/Logical Processor • Hypothesis H5o Customer Service professionals will not have higher Conservator pattern scores than will the general employee population of organizations. • Hypothesis H5a Customer Service professionals will have higher Conservator pattern scores than will the general employee population of organizations.

Hypothesis 5 tests whether the Customer Service function is more prone to use structured methods than are members of the general population. The Customer Service function is typically confined to following strict guidelines in satisfying customer claims and demands. This hypothesis tests whether people who systematically rely less on unpatterned methods are attracted more to Customer Service functions than are those in the general employee population. The independent variable for Hypothesis 5 is the structured methods of the Conservator pattern, Hypothetical Analyzer and Logical Processor, (Figure 4) as measured by the I-OptTM instrument for people occupying positions in Customer Service groups.

The dependent variables are the scores on structured styles for people occupying positions in occupational areas other than Customer Service. The data are drawn from the general database of the Organizational Engineering Institute. Hypotheses H5o/H5a use the non-parametric Mann-Whitney test to establish whether there is a statistically significant difference between Customer Service groups and the general population. A positive finding for Hypothesis H5a supports the proposition that informationprocessing styles are a determinant of success within a function. If Hypothesis H4a on Research and Development is also positive, the issue will be triangulated on both sides of the spectrum and, therefore, the inference will be greatly strengthened.

I-OPTTM Instrument The data collection instrument is the I-OptTM Survey and is presented in Appendix A. The I-Opt SurveyTM, also marketed under the name DecideXTM, are trademarks of Professional Communications Incorporated. The instrument has been in use since 1991. Soltysik (2000) tested the validity of the instrumentation, as it is applied to Organizational Engineering along all major dimensions of formal validity theory. The instrument has met all tests of significance in face validity, construct validity, content validity, convergent validity, discriminant validity, concurrent validity, predictive validity, conclusion validity, and reliability. The instrument is found to meet or exceed the generally accepted criteria for significance of p