| 期刊全稱 | Accurate Case Outcome Modeling | | 期刊簡稱 | Entrepreneur Policy, | | 影響因子2023 | Arch G. Woodside | | 視頻video | http://file.papertrans.cn/144/143813/143813.mp4 | | 發(fā)行地址 | Includes data sets so that readers can replicate findings presented in the text, and can go on to test additional theories.Challenges the dominant trend in business and management of writing two-direc | | 圖書封面 |  | | 影響因子 | .This volume advocates accurate case outcome prediction that does not rely on symmetric modeling. To that end, it provides theory construction and testing applications in several sub-disciplines of business and the social sciences to illustrate how to move away from symmetric theory construction. Each chapter constructs case outcome theory and includes empirical analysis of outcomes. Chapter 1 provides a foundation of symmetric variable directional-relationship theory construction and null hypothesis significance testing versus asymmetric case outcome theory construction and somewhat precise outcome testing, while Chapters 2–6 investigate these principles through a range of applications..This volume will be very useful to researchers and professionals in manufacturing, service, consulting, management, marketing, organizational studies, and more. It will also be an excellent resource for advanced statistics students in building and testing case outcome models. Data sets are included so that readers can replicate findings presented in each chapter, and grow to present and test additional theories.. | | Pindex | Book 2019 |
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