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

Int J Environ Res Public Health. 2018 May 22;15(5):1039. doi: 10.3390/ijerph15051039.

Abstract

(1) Background: Work hours are the basic carrier impacting employees' work⁻life experience and organizational performance, and employees have greater anxiety in relation to work hours as new technology requires an increasingly faster work rhythm. However, scientific research on this topic lags far behind the practice, calling to attention the need for research on work hours from the perspective of historical evolution; (2) Methods: The Bibliometric method is used to analyze the 6364 articles and their contained 77 high-frequency keywords related to work hours from the Web of Science published between 1901 and 2017. Additionally, an individual⁻organization⁻society integrative perspective was adopted to describe the map changes and theme evolution of work hours; (3) Results and conclusions: The hot spots of research at the organizational level changed significantly around 1990, with the theme of "long work hours" becoming the core issue in recent years. Studies on the individual level have gradually moved from physiological aspects to the issues of burnout and psychological distress. Research topics related to the social level are somewhat loose, and mainly focused on work⁻life conflict areas. In addition, the cluster analysis based on the high-frequency keywords classifies six research types according to their research themes. Based on these findings, future trends are proposed to provide theoretical and practical reference for future studies.

Keywords: co-word analysis; individual–organization–society integrative perspective; theme evolution; work hours.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bibliometrics*
  • Cluster Analysis
  • Global Health
  • Humans
  • Occupational Health / trends*
  • Occupational Stress / etiology
  • Occupational Stress / prevention & control
  • Work Schedule Tolerance*
  • Work-Life Balance / trends*
  • Workload*