Multi-dimensional Individual Work Performance: Predictors and Mediators

Rostiana, Rostiana and Lie, Daniel Multi-dimensional Individual Work Performance: Predictors and Mediators. Multi-dimensional Individual Work Performance: Predictors and Mediators.

[img] Text
buktipenelitian_10796002_3A194517.pdf
Download (704kB)

Abstract

Individual work performance (IWP) has been researched time and time again in the past few decades. Interestingly enough, existing research on IWP focuses mainly on the area of work production and lacks an in-depth holistic understanding of IWP and other interrelated work behaviours. In this study, IWP is explored in the context of a multidimensional construct that includes the dimensions of task, contextual, and counterproductive behaviours. The purpose of this research is to investigate whether the three variables of work engagement (WE), psychological empowerment (PE), and subjective well-being (SWB) mediate and correlate with the relationship between perceived organisational support (POS) and IWP. Methodology/Technique – 780 employees from 4 organisations in Jakarta were selected to participate in this study. The respondents were tasked with responding to five questionnaires including (1) IWP of Koopmans, (2) POS of Eisenberger, (3) SWB of Diener, (4) WE of Baker and Schaufeli, (5) PE of Spreitzer. The data was analysed using structural equation modelling. Findings – The results show that the proposed structural model aligns with the empirical data [X2 (0, N = 780) = 0, p = 1.000; RMSEA=.000]. This research concludes that the relationship between POS and IWP is best mediated by either WE, PE or SWB. Among the three mediators, WE plays the greatest role in mediating the relationship between POS and IWP. Novelty – These findings expand on previous research on the weak relationship between POS and IWP. Type of Paper: Empirical. JEL Classification: L20, L25, L29.

Item Type: Article
Subjects: Penelitian > Fakultas Psikologi
Divisions: Fakultas Psikologi > Psikologi
Depositing User: Puskom untar untar
Date Deposited: 04 Jan 2021 08:26
Last Modified: 04 Jan 2021 08:26
URI: http://repository.untar.ac.id/id/eprint/14160

Actions (login required)

View Item View Item
Repository UNTAR is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.