Accurate Case Outcome Modeling Entrepreneur Policy, Management, and Strategy Applications /

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. Eac...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Woodside, Arch G. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Accurate Case Outcome Modeling  |h [electronic resource] :  |b Entrepreneur Policy, Management, and Strategy Applications /  |c edited by Arch G. Woodside. 
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300 |a XVII, 255 p. 44 illus., 39 illus. in color.  |b online resource. 
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505 0 |a Matching case identification hypotheses and case-level data analysis -- Constructing algorithms for forecasting high (low) project management performance -- Accurate outcomes performance screening in strategic management -- Modeling human resource outcomes -- Customers' assessments of retail traditional local markets: Strategy outcomes performance screening -- Cultures' outcomes on entrepreneurship, innovation, and national quality-of-life -- Indexes. 
520 |a 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. 
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