Emerging trends in global organizational science phenomena / Gerald R. Ferris, Ph.D. (editor), Pamela L. Perrewé, Ph.D. (editor), Adebowale Akande, Ph.D. (editor).

Includes bibliographical references and index.

"This volume offers a worldwide array of the first truly integrated work reflecting the most up-to-date research and practice in global organizational science by 40 topmost experts (scientist-practitioners) from 25 nations. It is a well-blended international stew of epistemic knowledge on some of the hottest subject areas such as cross-cultural and cross-border issues of importance and challenge to organizations today, small and family business/entrepreneurship, diversity, individualism-collectivism, and modern technology. It is a valuable resource for scholars, practitioners, managers, decision makers, and students alike. This extraordinarily well-written and practically-crafted, culture-inclusive text could not be more relevant and timelier"-- Provided by publisher.

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Intro -- Dedication and Acknowledgment -- Contents -- Editorial Foreword -- Overview, Perspectives, and Themes for Global Organizational Science Research -- Introduction -- Key Themes -- Organizational Politics -- Leadership -- Job Stress -- Context and Culture -- Conclusion -- References -- Part I: Introduction, Research and Conceptual Frame -- Chapter 1 -- Global Organizational Science: A New Reality for World-Class Organizations -- Twilight of Dawn or of Evening? -- Abstract -- Introduction -- Global Organizational Science

Then What Is the Area of Specialty or Discipline Called Organizational Science (OS)? -- What Is an Organization? -- Benefits of Global OS -- Organizational Strategic Leaders and Global Organizational Science -- Organizational Scientist/Management's Attitude toward Risk -- Strategic Choice -- Development of Organizational Science Policies -- Who Implements OS-Related Strategy? -- Conclusion -- Acknowledgements -- References -- Chapter 2 -- Research Methods in the Organizational Sciences -- Abstract -- Introduction -- Quantitative and Qualitative Research Design -- Experimental Research

Quasi-Experimental Research -- Field Studies -- Cross-Sectional Designs -- Longitudinal Designs -- Experience Sampling Method -- Social Network Research -- Qualitative Research -- Meta-Analysis -- Data Collection and Data Quality -- Surveys/Questionnaires -- Single-Source, Self-Report vs. Multi-Source Data -- Test for Non-Respondent Bias -- Objective Data Sources -- Performance Ratings from Company Files -- Turnover Rates -- Adequacy of Research Instruments and Variables Measured -- Reliability -- Validity -- Categorical Variables in Linear Regression Analyses -- Data Analyses

Experimental Research Data -- Non-Experimental Field Research Data -- Hierarchical Regression Analyses -- Moderated Regression Analysis (Test for Moderators/Interactions) -- Mediation Analysis (Test for Mediators) -- Structural Equation Modeling (SEM) -- Hierarchical Linear Modeling (HLM -- Test for Multi-Level Effects) -- Analyses When Dependent Variable is Categorical or Binary -- Polynomial Regression Analysis (Test for Nonlinear Effects) -- Social Network Data -- Social Network Software -- Qualitative Research Data -- Other Issues in Organizational Research Methods -- The Role of Theory

Theoretical Foundations Driving Research -- What Constitutes Good Theory? -- Interplay between Theory and Method -- Nonlinearity in Organizational Research -- Multi-Study Research Packages -- Conclusion -- References -- Chapter 3 -- The Interplay of Philosophy of Science, Statistics, and Storytelling -- Abstract -- Introduction -- What Is Philosophy of Science? -- What Is Statistics? -- What Is Storytelling? -- Historical and Theory Background -- Statistical Story -- The New Copernican Revolution in Statistics -- The p-Value Tells a a Story -- Conclusion -- References

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