Workers' Compensation in the Remote Work Era: Proactive Risk Management Through HR Policies and Data Alchemy Practices

Abstract

Purpose: In this research, an analysis of how clear and consistent policies in the areas of remote work and personal injury cases are connected to the outcomes of compensation paid out in remote work settings is being conducted.

Design/methodology/approach: This study is based on data collected from 154 HR professionals of Chandigarh, Panchkula, and Mohali, and Gurugram, and Delhi NCR with this help of a structured questionnaire (7-point Likert scale). The study was conducted using the descriptive statistics, correlation analyses, and regression analysis that examined the effect of independent variables (including alchemy experiments) on improving the performance of worker's compensation account.

Findings: The investigation indicated that the clear and follow-up strategies on workers' compensation claims (WCC) were highly applicable working remotely. Despite that, the data alchemy cookbook approach has brought only a moderate effect on insurance payments according to the statistics.

Practical implications: The study highlights the imperative need for an organization to establish guidelines and lay strict compliance to these guidelines in order to increase the chance of effective compensation. Besides, the deployment of advanced data analysis tools available can detect valuable facts about predicting the compensation claims of a worker in the remote work concept.

Citation

Miglani, M. and Singh Chahal, B.P. (2024), "Workers' Compensation in the Remote Work Era: Proactive Risk Management Through HR Policies and Data Alchemy Practices", Taneja, S., Kumar, P., Reepu, Kukreti, M. and Özen, E. (Ed.) Data Alchemy in the Insurance Industry, Emerald Publishing Limited, Leeds, pp. 65-76. https://doi.org/10.1108/978-1-83608-582-920241013