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

Jorge Iván Pérez-Rave, Juan Carlos Correa-Morales, Favián González-Echavarría

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


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.

Translated title of the contributionCompromiso social organizacional y bienestar del empleado: ilustrando un enfoque de minería de constructos en R
Original languageEnglish
Pages (from-to)27-35
Number of pages9
JournalDYNA (Colombia)
Issue number223
Publication statusPublished - 1 Jul 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
© The author; licensee Universidad Nacional de Colombia.

All Science Journal Classification (ASJC) codes

  • General Engineering


Dive into the research topics of 'Organizational social commitment and employee well-being: illustrating a construct mining approach in R'. Together they form a unique fingerprint.

Cite this