Skip to main content

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 117))

  • 1218 Accesses

Abstract

In order to explore the relationship between working conditions and work engagement, 648 enterprise employees were assessed with Utrecht Work Engagement Scale and Job Content Questionnaire. Hierarchical regression analyses indicated that job insecurity was a powerful predictor of dedication, decision authority and supervisor support were powerful predictors of each work engagement indicator while demographic variables were controlled. Dominance analysis was used to examine the relative importance of working conditions in relation to aspects of work engagement. It was found that decision authority was the most salient predictor of vigor, dedication and absorption. The conclusion is that working conditions can affect enterprise employees’ work engagement and enhancing decision authority will improve the level of work engagement.

Supported by Key Research Institute of Humanities & Social Science in Heilongjiang Province. (HEURS0908), supported by the Fundamental Research Foundation of Harbin Engineering University(HEUFT09018), supported by the Fundamental Research Funds for the Central Universities (HEUCF10 1303).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Azen, R., Budescu, D.V.: The dominance analysis approach for comparing predictors in multiple regression. Psychological Methods 8, 129–148 (2003)

    Article  Google Scholar 

  2. Bandura, A.: Social learning theory. Prentice-Hall, Englewood Cliffs (1996)

    Google Scholar 

  3. Budescu, D.V.: Dominance analysis: A new approach to the problem of relative importance of predictors in multiple regression. Psychological Bulletin 114, 542–551 (1993)

    Article  Google Scholar 

  4. Demerouti, E., Bakker, A.B., Nachreiner, F., Schaufeli, W.B.: The job demands-resources model of burnout. Journal of Applied Psychology 86, 499–512 (2001)

    Article  Google Scholar 

  5. Johnson, J.W.: A heuristic method for estimating the relative weight of predictor variables in multiple regression. Multivariate Behavioral Research 35, 1–19 (2000)

    Article  Google Scholar 

  6. Karasek, R., Brisson, C., Kawakami, N., Houtman, I., Bongers, P., Amick, B.: The Job Content Questionnaire (JCQ): An instrument for internationally comparative assessments of psychosocial job characteristics. Journal of Occupational Health Psychology 3, 322–355 (1998)

    Article  Google Scholar 

  7. Plunkett, S.W., Henry, C.S., Houltberg, B.J., Sands, T., Abarca-Mortensen, S.: Academic Support by Significant Others and Educational Resilience in Mexican-Origin Ninth Grade Students From Intact Families. Journal of Early Adolescence 28, 333–355 (2008)

    Article  Google Scholar 

  8. Schaufeli, W.B., Salanova, M., Gonzalez-Romá., V., Bakker, A.B.: The measurement of engagement and burnout: A two sample confirmatory factor analytic approach. Journal of Happiness Studies 3, 71–92 (2002)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Linlin Zhang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media Dordrecht

About this paper

Cite this paper

Zhang, L., Jin, H., Zhang, S. (2012). The Role of Working Conditions in Enterprise Employees’ Work Engagement. In: Wu, Y. (eds) Advanced Technology in Teaching - Proceedings of the 2009 3rd International Conference on Teaching and Computational Science (WTCS 2009). Advances in Intelligent and Soft Computing, vol 117. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25437-6_57

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25437-6_57

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25436-9

  • Online ISBN: 978-3-642-25437-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics