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Accurate case outcome modelingentrep...

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Accurate case outcome modelingentrepreneur policy, management, and strategy applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Accurate case outcome modelingedited by Arch G. Woodside.
Reminder of title:	entrepreneur policy, management, and strategy applications /
other author:	Woodside, Arch G.
Published:	Cham :Springer International Publishing :2019.
Description:	xvii, 255 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	ResearchMethodology.
Online resource:	https://doi.org/10.1007/978-3-030-26818-3
ISBN:	9783030268183$q(electronic bk.)

Accurate case outcome modelingentrepreneur policy, management, and strategy applications /
Accurate case outcome modelingentrepreneur policy, management, and strategy applications /[electronic resource] :edited by Arch G. Woodside. - Cham :Springer International Publishing :2019. - xvii, 255 p. :ill., digital ;24 cm.

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.

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.

ISBN: 9783030268183$q(electronic bk.)

Standard No.: 10.1007/978-3-030-26818-3doiSubjects--Topical Terms:

182554
Research
--Methodology.

LC Class. No.: Q180.55.M4 / A33 2019

Dewey Class. No.: 001.42

Accurate case outcome modelingentrepreneur policy, management, and strategy applications /
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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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