University of Oulu

Vayrynen, S. T., & Kiema-Junes, H. K. (2018). Exploring Blue- and White-Collar Employees' Well-Being at Work System: Differences in Indicators of Physical and Psychosocial Conditions of Occupational Groups. International Journal of Sociotechnology and Knowledge Development (IJSKD), 10(2), 14-34. doi:10.4018/IJSKD.2018040102

Exploring blue- and white-collar employees' well-being at work system : differences in indicators of physical and psychosocial conditions of occupational groups

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Author: Väyrynen, Seppo Tapio1; Kiema-Junes, Heli Katariina1
Organizations: 1University of Oulu, Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 1.2 MB)
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Language: English
Published: IGI Global, 2018
Publish Date: 2018-10-08


The aim of this study was to examine occupational group-related differences in well-being at work (WBW) indicators ranging from real accidents, absences and retirement to experienced pleasure at work. Occupational group included two categories: blue- and white-collar employees. The study is based on analysing national statistics or ones of various industrial sectors (Study 1), or bases on findings of questionnaires in Finnish case companies (N=7) (Studies 2 and 3). WBW questionnaires answered by 3500 employees. Analysis utilised data that employees of two occupational groups, or company and national statistics revealed about WBW. Analysis was based on factors related to employee, task, tool, organisation and work environment (traditional work system (WS)), psychosocial factors, and information and communication within WS. The biggest and statistically significant differences were emphasised in results and discussion. Although two groups’ roles and tasks provide reasons for many differences, the ones should be measured, thoroughly discussed and consciously managed.

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Series: International journal of sociotechnology and knowledge development
ISSN: 1941-6253
ISSN-E: 1941-6261
ISSN-L: 1941-6253
Volume: 10
Issue: 2
Pages: 14 - 34
Article number: 2
DOI: 10.4018/IJSKD.2018040102
Type of Publication: A1 Journal article – refereed
Field of Science: 222 Other engineering and technologies
Copyright information: © 2018, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. Published in this repository with the kind permission of the publisher.