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Map Changes and Theme Evolution in Work Hours: A Co-Word Analysis.

Bei Liu1, Hong Chen2, Xinru Huang3

  • 1Department of Management School, China University of Mining and Technology, 1 Daxue Rd., Xuzhou 221116, China. liubeii@163.com.

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Summary
This summary is machine-generated.

This study analyzed work hours research from 1901-2017. Key findings show a shift towards long work hours, employee burnout, and work-life conflict, highlighting evolving research trends.

Keywords:
co-word analysisindividual–organization–society integrative perspectivetheme evolutionwork hours

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Area of Science:

  • Work hours research
  • Bibliometrics
  • Organizational psychology

Background:

  • Work hours significantly impact employee work-life balance and organizational performance.
  • Increasing technological demands exacerbate employee anxiety regarding work hours.
  • A gap exists between practical concerns and scientific research on work hours' historical evolution.

Purpose of the Study:

  • To conduct a historical evolution analysis of work hours research.
  • To identify thematic shifts and research hotspots from individual, organizational, and societal perspectives.
  • To propose future research trends and practical implications.

Main Methods:

  • Bibliometric analysis of 6,364 articles and 77 high-frequency keywords on work hours from Web of Science (1901-2017).
  • Application of an integrative individual-organization-society perspective.
  • Cluster analysis of keywords to identify distinct research themes.

Main Results:

  • Organizational-level research hotspots shifted significantly around 1990, with 'long work hours' emerging as a recent core issue.
  • Individual-level studies evolved from physiological concerns to burnout and psychological distress.
  • Social-level research remains broad, primarily focusing on work-life conflict.

Conclusions:

  • Research on work hours has evolved, with a growing emphasis on negative individual and organizational outcomes.
  • The study identified six distinct research types based on thematic clusters.
  • Future research should address the identified trends to inform theory and practice.