Organizational social commitment and employee well-being: illustrating a construct mining approach in R
| Autor: | Jorge Iván Pérez-Rave, Juan Carlos Correa-Morales, Favián González-Echavarría |
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| Jazyk: | English<br />Spanish; Castilian |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Dyna, Vol 89, Iss 223 (2022) |
| Druh dokumentu: | article |
| ISSN: | 0012-7353 2346-2183 |
| DOI: | 10.15446/dyna.v89n223.99230 |
| Popis: | 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. |
| Databáze: | Directory of Open Access Journals |
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