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Thomas W. Lee

Researcher at University of Technology, Sydney

Publications -  96
Citations -  16527

Thomas W. Lee is an academic researcher from University of Technology, Sydney. The author has contributed to research in topics: Turnover & Job satisfaction. The author has an hindex of 45, co-authored 94 publications receiving 15040 citations. Previous affiliations of Thomas W. Lee include University of Washington & University of Hong Kong.

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Why people stay: using job embeddedness to predict voluntary turnover

TL;DR: In this paper, a new construct, called job embeddedness, is introduced, which includes individuals' links to other people, teams, and groups, perceptions of their fit with job, organization, and community, and what they say they would have to sacrifice if they left their jobs.
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An Alternative Approach: The Unfolding Model of Voluntary Employee Turnover

TL;DR: The model of employee turnover described in this article applies constructs and concepts from decision making, statistics, and social psychology to facilitate understanding and to redirect theory development and empirical research, and five specific contributions of the model are suggested, and recommendations for empirical testing and future research are offered.
Book

Using Qualitative Methods in Organizational Research

Thomas W. Lee
TL;DR: This book examines the methods and tactics for both generating and testing management theories, including guidelines for deciding whether to use qualitative methods and overviews of four specific research designs.
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5 Turnover and Retention Research: A Glance at the Past, a Closer Review of the Present, and a Venture into the Future

TL;DR: In this paper, the authors evaluate the current state of the field of voluntary employee turnover in the past decade as well as new managerial approaches to employee retention, labor market dynamism, and evolution in research methodology and technology.
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The Effects of Job Embeddedness on Organizational Citizenship, Job Performance, Volitional Absences, and Voluntary Turnover

TL;DR: In this paper, the authors extend theory and research on job embeddedness, which was disaggregated into its two major subdimensions, on-the-job and off-thejob embeddedness.