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Determinants Impacting Employee Moonlighting: A Conceptual Push-Pull & SMART ISM Perspective

Authors

Dr. Vidhi Jalan

Assistant Professor Alard School of Business Management Alard University, Pune (IN)

Dr. Dipti Tulpule

Dean Alard School of Business Management Alard University, Pune (IN)

Sumit Gaikwad

Assistant Professor Alard School of Business Management Alard University, Pune (IN)

Article Information

DOI: 10.51583/IJLTEMAS.2026.150600188

Subject Category: Employee Moonlighting

Volume/Issue: 15/6 | Page No: 2563-2575

Publication Timeline

Submitted: 2026-07-21

Published: 2026-07-21

Abstract

Moonlighting has been in practice for a long time, but post-pandemic, the inclination of white-collar workers towards moonlighting has tremendously increased. This study aims to explore the factors that affect the moonlighting of employees in the post-COVID work environment. The data for the present study are all secondary data from peer-reviewed journal articles, company reports, news articles, corporate policy statements, HR publications, and publicly available organisational communications in relation to employee moonlighting. Considering Push-Pull Theory and SMART Interpretive Structural Modelling (SMART-ISM), the study identifies and analyses the interrelationships between the key determinants identified through an extensive literature review. Eleven determinants were identified and categorised under three main heads, namely financial, job-related, and opportunity-driven. The Structural Self-Interaction Matrix (SSIM) was built based on the expert opinions and a hierarchical SMART-ISM was constructed. It shows that recession/inflation, wage stagnation and financial frictions are at the baseline, whereas entrepreneurship opportunities and participation in the ‘gig-economy' appear to be outcome-level factors. The study provides a framework which helps to understand the moonlighting behaviour in a structured manner and also provides practical implications to HR managers and policymakers.

Keywords

Moonlighting, push factor, pull factor, gig economy, digital economy, economic

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References

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