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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