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© LIBERO v6.4.1sp220816
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MARC 21
Accurate Case Outcome Modeling: Entrepreneur Policy, Management, and Strategy Applications /
Tag
Description
020
$a9783030268183
082
$a330.015195
099
$aOnline Resource: Springer.
245
$aAccurate Case Outcome Modeling$h[EBook] :$bEntrepreneur Policy, Management, and Strategy Applications /$cedited by Arch G. Woodside.
250
$a1st ed. 2019.
260
$aCham :$bSpringer International Publishing :$bImprint: Springer,$c2019.
300
$aXVII, 255 p. 44 illus., 39 illus. in color.$bonline resource.
505
$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.
538
$aOnline access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
700
$aWoodside, Arch G.$eeditor.
710
$aSpringerLink (Online service)
856
$u
https://doi.org/10.1007/978-3-030-26818-3
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