How Changes in Job Resources and Personal Resources Predict Employee Engagement - Open Journal of Business and Management

OJBM > Vol.8 No.6, November 2020

Open Journal of Business and Management

Volume 8, Issue 6 (November 2020)

ISSN Print: 2329-3284 ISSN Online: 2329-3292

Google-based Impact Factor: 1.13 Citations

How Changes in Job Resources and Personal Resources Predict Employee Engagement ()

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Download as PDF (Size: 430KB) PP. 2623-2632

DOI: 10.4236/ojbm.2020.86162 969 Downloads 2,923 Views Citations

Author(s)

T. J. R. Thisera, G. A. D. S. Wijesundara

Affiliation(s)

Department of Human Resource Management, Faculty of Commerce and Management Studies, University of Kelaniya, Kelaniya, Sri Lanka.

ABSTRACT

This study examines how job resources (i.e., job autonomy, supervisor support, and reward and recognition) and personal resources (i.e., self-efficacy and optimism) affect employee engagement with special reference to managerial employees apparel manufacturing industry in Sri Lanka. This explanatory study is positivistic and deductive, which adopted the survey strategy. The present study uses the mono method in data collection and analysis. A standard questionnaire was used to collect data, and analysis was done using SPSS. The hypothesized model of the study was tested using simple linear regression. Results revealed a positive impact of job resources and personal resources on employee engagement. This study contributes to the existing knowledge while providing many managerial implications.

KEYWORDS

Employee Engagement, Job Resources, Personal Resources

Share and Cite:

Thisera, T. and Wijesundara, G. (2020) How Changes in Job Resources and Personal Resources Predict Employee Engagement. Open Journal of Business and Management, 8, 2623-2632. doi: 10.4236/ojbm.2020.86162.

Cited by

[1]	The Effect of Employee Engagement on Employee Performance in Ghana's MSMEs Sector during COVID-19: The Moderating Role of Job Resources
	Open Journal of Business …, 2022

[2]	Development and Evaluation of an Academic Performance Structural Model for a Sample of Tertiary Students in South Africa
	2022

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