Gender or Occupational Status: What Counts More for Well-Being at Work?
Chiara Rollero,
Angela Fedi () and
Norma Piccoli
Additional contact information
Chiara Rollero: University eCampus
Angela Fedi: University of Turin
Norma Piccoli: University of Turin
Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, 2016, vol. 128, issue 2, No 1, 467-480
Abstract:
Abstract Literature has conceptualized well-being in the work domain through specific constructs, such as job satisfaction, work alienation, work-family conflict, and the perception of decision-making. Research from a gender perspective has examined gender differences in relation to these variables, showing that—compared to men—women in most cases experience lower job satisfaction, less decision-making, and higher work-family conflict. Another body of studies has driven the attention to the impact of the occupational status, demonstrating a general positive effect of high-status occupations. However, considering disparities between men and women in career success, the documented gender differences may also be influenced by the fact that women generally hold lower positions, as well as the effects of status may be related to the prevalence of men in high-status job. The purpose of the present study was to extend past research by examining the effects of both gender and status on job satisfaction, work alienation, work-family conflict, and decision-making. To this aim 238 workers (52.5 % males) holding high-status (N = 98) and low-status (N = 140) positions were involved in the research. Results indicated that when the relative salience of both gender and status is considered to understand well-being at work, status counts more than gender. Nevertheless, gender remains a significant dimension that may not be neglected, as it plays a relevant role, along with status, on job satisfaction and perception of decision-making. Implications are discussed.
Keywords: Gender; Status; Occupational well-being; General linear models (search for similar items in EconPapers)
Date: 2016
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DOI: 10.1007/s11205-015-1039-x
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