Measuring enablers and indicators of employee engagement: Internal validity of the Flow@Work engagement survey
Employee engagement remains a growing interest in the academic research literature and especially in the practitioner-industry mainstream literature and practice. Despite the increase in literature on constructs of and associations between enablers and indicators of employee engagement, the empirica...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-02-01
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| Series: | Heliyon |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844025007662 |
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| Summary: | Employee engagement remains a growing interest in the academic research literature and especially in the practitioner-industry mainstream literature and practice. Despite the increase in literature on constructs of and associations between enablers and indicators of employee engagement, the empirical examination of employee engagement measures offered by the mainstream practitioner-industry market has received little attention. The study redresses this shortcoming by examining the internal construct validity and reliability of the Flow@Work Engagement Survey (FWES) as applied to a global aggregated cross-sectional data set of (N = 39 310) clients. We further employed structural equation modelling and relative weight analysis to assess the extent to which the proposed FWES engagement enabling working conditions functioned as predictors of the measure's employee engagement indicators on a randomly selected data subset of (n = 3000) clients. The study established the internal convergent and discriminant validity and reliability of the FWES. The findings contributed new insights to the engagement research literature by revealing the nature and relative importance of different engagement enablers in predicting employee willingness and commitment as indicators of organisational employee engagement. Practically, the study uncovers opportunities for future engagement research and well-informed employee engagement measurement and intervention planning in industry. |
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| ISSN: | 2405-8440 |