Description: This book describes tools that are useful for decision-makers to improve their understanding of what is likely to happen in different configurations of contexts and decisions and to improve their forecasting abilities substantially.
Review Quotes: Business researchers urge their colleagues to stop using null hypothesis significance tests, multiple regression analysis, and structural equation modeling, and start using configurational modeling. They describe complexity theory tenets and provide examples--mostly from the literature on business-to-business strategy, marketing, and purchasing--showing why and how to build asymmetric models using configurations of antecedent conditions. Their topics include embracing the paradigm shift from variable-based to case-based modeling, building generalizable case-based theory in human resources management, and computing with words in modeling firms' paradoxical performances.--Annotation (c)2018 "(protoview.com)"