Embracing the complexity turn in management research for modeling multiple realities
MetadataShow full item record
© Springer International Publishing AG 2017. All rights reserved. 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.
Showing items related by title, author, creator and subject.
Woodside, Arch (2010)Both successful and unsuccessful design+marketing projects in high fashion products and services represent creating and implementing recipes or paths of key success factors (KSFs). While implementing any one KSF is not ...
Woodside, Arch (2014)This essay 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 ...
Constructing Useful Models of Firms’ Heterogeneities in Implemented Strategies and Performance OutcomesBrenes, E.; Ciravegna, L.; Woodside, Arch (2017)This study advances the proposition that applying core tenets of complexity theory is useful for solving the “crucial problem” in strategic management—describing, explaining, and predicting firm heterogeneity. The study ...