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Organizational social commitment and employee well-being: illustrating a construct mining approach in R.

Authors :
Pérez-Rave, Jorge Iván
Correa-Morales, Juan Carlos
González-Echavarría, Favián
Source :
Dyna. sep2023, Vol. 90 Issue 228, p27-35. 9p.
Publication Year :
2023

Abstract

How employees react to an organization's ethical/social initiatives has little support in terms of empirical evidence. We examine employee perceptions about organizational social commitment (OSC) and its association with employee well-being (WB). The sample consists of 289 participants of a healthcare organization in Colombia. We use a comprehensive methodology for mining psychological/managerial constructs in R comprising six processes (observe, explore, confirm, explain, predict, and report). We provide information concerning the scales' plausibility, reliability, convergent/discriminant validity, and equity. We contrast the relationship between OSC and WB by using structural equation modelling with bootstrap approaches. We examine the capability of OSC to predict WB by using machine learning methods. We found a positive relationship between the constructs, which shows that OSC is a valuable strategy for contributing to employee objectives from a 'being well together' perspective. The paper stimulates/facilitates future research and teaching-learning initiatives in latent variable analysis using the R language. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00127353
Volume :
90
Issue :
228
Database :
Academic Search Index
Journal :
Dyna
Publication Type :
Academic Journal
Accession number :
171946483
Full Text :
https://doi.org/10.15446/dyna.v89n223.99230