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Article
Publication date: 12 May 2022

Arun Aggarwal, Dinesh Jaisinghani and Kamrunnisha Nobi

The purpose of this study is to develop and test a model on antecedents and consequences of employee engagement in the context of information technology (IT) employees.

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Abstract

Purpose

The purpose of this study is to develop and test a model on antecedents and consequences of employee engagement in the context of information technology (IT) employees.

Design/methodology/approach

In this descriptive research, the data were collected from 432 employees working in IT companies operating in India. The authors performed structural equation modeling to test the proposed relationships.

Findings

The results of this study indicate a positive effect of perceived procedural justice, perceived distributive justice and perceived organizational support on employee engagement. Further, the results of this study show a positive effect of employee engagement on employees’ organizational commitment (OC) and a negative effect on employees’ turnover intentions.

Research limitations/implications

As this study uses self-reported and cross-sectional research design to collect the data, therefore, it limits the generalizations of the results.

Practical implications

The findings of this study can be beneficial for the senior managers and human resources functionaries by examining the antecedents and consequences of employee engagement.

Originality/value

To the best of the authors’ knowledge, this study is one of the few studies that have examined the mediating role of employee engagement on the relationship among organizational justice, organizational support, OC and employee turnover intentions.

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Article
Publication date: 13 September 2023

Arun Aggarwal, Vinay Kukreja and Kamrunnisha Nobi

The purpose of this study is not only to develop an integrated model of subjective well-being (SWB) by using confirmatory factor analysis (CFA) and structural equation modeling…

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Abstract

Purpose

The purpose of this study is not only to develop an integrated model of subjective well-being (SWB) by using confirmatory factor analysis (CFA) and structural equation modeling (SEM) but also to prioritize the subfactors of personality and SWB that affect the contextual performance (CP) of an employee by using a fuzzy-analytical hierarchy process (FAHP), which has not been done in the past.

Design/methodology/approach

The data were collected from 15 field experts and 412 employees of information technology (IT) companies operating in India. The data analysis was performed in two stages. The first stage includes CFA and SEM. The second stage includes prioritizing the factor through FAHP.

Findings

The results of SEM analysis manifested that all the dimensions of personality have a significant impact on CP. However, in the case of SWB, only two components (satisfaction with life and positive affect) have a significant impact on CP. Results of FAHP show that SWB is more important in predicting CP than the Big Five personality dimensions.

Originality/value

This research is a novel attempt to test and prioritize the factors affecting the CP of IT employees. The findings of the research will be useful for managers in increasing the performance of their employees. Further, the findings of the research will contribute to the literature on the factors affecting CP.

Details

International Journal of Quality and Service Sciences, vol. 15 no. 3/4
Type: Research Article
ISSN: 1756-669X

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Article
Publication date: 8 July 2021

Arun Aggarwal, Kamrunnisha Nobi, Amit Mittal and Sanjay Rastogi

The personality of an individual plays a vital role in the way an individual perceives organizational politics and justice in the workplace. However, there is meager research on…

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Abstract

Purpose

The personality of an individual plays a vital role in the way an individual perceives organizational politics and justice in the workplace. However, there is meager research on how an individual's personality affects the perceptions of organizational politics and justice. This study endeavors to fill this gap by analyzing the mediating role of organizational politics perceptions on the relationship between Big Five personality dimensions and organizational justice by controlling various demographic variables. The study also proposes a benchmarking model that the policymakers can use to create positive organizational justice perceptions.

Design/methodology/approach

In this cross-sectional research, the data were collected through a multi-stage random sampling technique from 493 faculty members working in four public universities of Punjab, India. Out of 493 employees, 76.9% of the employees were assistant professors, 12.0% were associate professors and 11.2% were assistant professors. 51.5% of the employees were female, and 48.5% of the employees were male. To test the proposed hypothesized relationships, a structural equation modeling technique was used.

Findings

Results of the structural equation modeling showed that openness to experience, conscientiousness and extraversion have a negative relationship with perceptions of organizational politics. However, their relationship with perceptions of organizational justice is positive. Neuroticism has a positive relationship with perceptions of organizational politics, whereas it has a negative relationship with perceptions of organizational justice. Results also showed that high perceptions of organizational politics have a negative effect on employee's perceptions regarding organizational justice. The mediation analysis results showed that perceptions of organizational politics mediate the relationship between an individual's personality and perceptions of organizational justice.

Originality/value

There is a scant amount of research available that considers Big Five personality dimensions and organizational politics as the antecedents of organizational justice. Hence, the current study tries to fill this research gap by proposing a research model on antecedents and consequences of perceptions of organizational politics based on the cognitive-affective processing system (CAPS).

Details

Benchmarking: An International Journal, vol. 29 no. 3
Type: Research Article
ISSN: 1463-5771

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