Abstract
Chapter 2 describes tenets of complexity theory including the precept that within the same set of data X relates to Y positively, negatively, and not at all. A consequence to this first precept is that reporting how X relates positively to Y with and without additional terms in multiple regression models ignores important information available in a data set. Performing contrarian case analysis indicates that cases having low X with high Y and high X with low Y occur even when the relationship between X and Y is positive and the effect size of the relationship is large. Findings from contrarian case analysis support the necessity of modeling multiple realities using complex antecedent configurations. Complex antecedent configurations (i.e., 2–7 features per recipe) can show that high X is an indicator of high Y when high X combines with certain additional antecedent conditions (e.g., high A, high B, and low C)—and low X is an indicator of high Y as well when low X combines in other recipes (e.g., high A, low R, and high S), where A, B, C, R, and S are additional antecedent conditions. Thus, modeling multiple realities—configural analysis—is necessary, to learn the configurations of multiple indicators for high Y outcomes and the negation of high Y. For a number of X antecedent conditions, a high X may be necessary for high Y to occur but high X alone is almost never sufficient for a high Y outcome.
For every complex problem, there is a solution that is simple, neat, and wrong.
(H.L. Mencken)
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References
Anderson P (1999) Complexity theory and organization science. Organ Sci 10:216–232
Armstrong JS (2012) Illusions in regression analysis. Int J Forecast 28:689–694
Armstrong JS, Brodie RJ, Parsons AG (2001) Hypotheses in marketing science: literature review and publication audit. Market Lett 12:171–187
Bargh JA, Chartrand TL (1999) The unbearable automaticity of being. Am Psychologist 54:462–479
Bass FM, Tigert DJ, Lonsdale RT (1968) Market segmentation: group versus individual behavior. J Market Res 5(3):264–270
Cheng C-F, Chang M-L, Li C-L (2013) Configural paths to successful product innovation. J Bus Res 66:2561–2573
Chung M, Woodside AG (2011) Causal recipes sufficient for identifying market gurus versus mavens. In: Meier A, Donzé L (eds) Fuzzy methods for customer relationship management and marketing: applications and classification. IGI Global, Hershey, PA, USA, pp. 312–331
Cooper RG (1993) Winning at new products: accelerating the process from idea to launch. Addison-Wesley, Reading, MA
Davis JP, Eisenhardt JP, Bingham CB (2007) Developing theory through simulation methods. Acad Manage Rev 32:490–499
Di Benedetto CA (1999) Identifying the key success factors in new product launch. J Product Innovat Manage 16:530–544
Fiss PC (2007) A set-theoretic approach to organizational configurations. Acad Manage Rev 32(2):1180–1198
Fiss PC (2011) Building better casual theories: a fuzzy set approach to typologies in organizational research. Acad Manage J 54(2):393–420
Fiss PC, Marx A, Cambré B (2013) Configurational theory and methods in organizational research: introduction. In: Fiss PC, Cambré B, Marx A (eds) Configurational theory and methods in organizational research (1–22, Research in the sociology of organizations, 38). Bingley, UK, Emerald
Gigerenzer G (1991) From tools to theories: a heuristic of discovery in cognitive psychology. Psychol Rev 98:254–267
Gigerenzer G, Brighton H (2009) Homo heuristics: why biased minds make better inferences. Top Cogn Sci 1:107–143
Gladwell M (2002) Tipping points: how little things can make a big difference. Little, Brown, Boston, MA
Gummesson E (2008) Extending the service-dominant logic: from customer centricity to balanced centricity. J Acad Market Sci 36:15–17
Howard JA, Morgenroth WM (1968) Information processing model of executive decision. Manage Sci 14:416–428
Hsiao JP-H, Chyi Jaw C, Huan TC, Woodside AG (2015) Applying complexity theory to solve hospitality contrarian case conundrums: Illuminating happy-low and unhappy-high performing frontline service employees. Int J Contemp Hospit Manag 27:608–647
Huff AS, Huff JO (2000) When firms change direction. Oxford University Press, Oxford
Kotler P (1967) Marketing management: analysis, planning, and control. Prentice-Hall, Englewood Cliffs, NJ
Meier A, Donzé L (eds) (2012) Fuzzy methods for customer relationship management and marketing: Applications and classification. IGI Global, Hershey, PA, USA, pp. 312–331
McClelland DC (1998) Identifying competencies with behavioral-event interviews. Psychol Sci 9:331–3339
Mintzberg H, Campbell CG (1979) An emerging strategy of direct research. Admin Sci Quart 24:582–589
Montgomery DB (1975) New product distribution: an analysis of supermarket buyer decisions. J Market Res 12(August):255–264
Morgenroth WM (1964) A method for understanding price determinants. J Market Res 1(3):17–26
Nesbitt RE, Wilson TD (1977) Telling more than we can know: verbal reports on mental processes. Psychol Rev 84:231–259
Ordanini A, Parasuraman A, Rubera G (2014) When the recipe is more important than the ingredients: a qualitative comparative analysis (QCA) of service innovation configurations. J Serv Res 17:134–149
Prado AM, Woodside AG (2014) Deepening understanding of certification adoption and non-adoption of international-supplier ethical standards. J Bus Ethics 132:105–125
Ragin CC (2000) Fuzzy set social science. Chicago University Press, Chicago
Ragin CC (2006) Turning the tables: how case-oriented research challenges variable-oriented research. Compar Soc Res 16:27–42
Ragin CC (2008) Redesigning social inquiry: fuzzy sets and beyond. Chicago University Press, Chicago
Schuhmacher MC, von Janda S, Woodside AG (2013) Configural theory of why people shop for clothes: personal-attribute explanations of four stalwart segments. J Global Fashion Market 4:1–25
Simon HA (1990) Invariants of human behavior. Ann Rev Psychol 41:1–19
Simon A (2004) Science seeks parsimony, not simplicity: search for patterns in phenomenon. In: Zellner A, Keuzenkamp H (eds) Simplicity, inference and modeling. Cambridge University Press, Cambridge, pp 32–72
Sterman JD, Wittenberg J (1999) Path dependence, competition, and succession in the dynamics of scientific revolution. Organ Sci 10(Application of complexity theory to organization science):322–341
Urry J (2005) The complexity turn. Theor Cult Soc 22:1–14
Weick KE, Sutcliffe KM (2001) Managing the unexpected: assuring high performance in an age of complexity. Jossey-Bass, San Francisco
Weick KE, Sutcliffe KM (2007) Managing the unexpected: resilient performance in an age of uncertainty. Jossey-Bass, San Francisco, CA
Weick KE, Sutcliffe KM, Obstfeld D (1999) Organizing for high reliability: processes of collective mindfulness. In: Staw BM, Cummings LL (eds) Research in organizational behavior, vol 21. JAI Press, Inc., Greenwich, CT, pp. 81–123
Woodside AG (2006) Overcoming the illusion of will and self-fabrication: Going beyond naïve subjective personal introspection to an unconscious/conscious theory of behavior explanation. Psychol Market 23:257–272
Woodside AG (2011) Responding to the severe limitations of cross-sectional surveys: commenting on Rong and Wilkinson’s perspectives. Aust Market J 19:153–156
Woodside AG (2013a) Moving beyond multiple regression analysis to algorithms: calling for a paradigm shift from symmetric to asymmetric thinking in data analysis, and crafting theory. J Bus Res 66:463–472
Woodside AG (2013b) Proposing a new logic for data analysis in marketing and consumer behavior: case study research of large-N survey data for estimating algorithms that accurately profile X (extremely high-use) consumers. J Global Schol Market Sci 22(4):277–289
Woodside AG, Zhang M (2013) Cultural diversity and marketing transactions: are market integration, large community size, and world religions necessary for fairness in ephemeral exchanges. Psychol Market 30:263–276
Wu P-L, Yeh SS, Huan TC, Woodside AG (2014) Applying complexity theory to deepen service dominant logic: configural analysis of customer experience-and-outcome assessments of professional services for personal transformations. J Bus Res 67:1647–1670
Zellner A (2001) Keep it sophisticatedly simple. In: Keuzenkamp H, McAleer M (eds) Simplicity, inference, and modeling: keeping it sophisticatedly simple. Cambridge University Press, Cambridge, UK
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Woodside, A.G. (2017). Embracing the Complexity Turn in Management Research for Modeling Multiple Realities. In: Woodside, A. (eds) The Complexity Turn. Springer, Cham. https://doi.org/10.1007/978-3-319-47028-3_1
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