Wellbeing measurement should be comprehensive, tech-driven, and privacy-focused to boost employee satisfaction and performance.
Authors
Mohit Yadav, Professor, Jindal Global Business School, O.P. Jindal Global University, Sonipat, Haryana, India
Ajay Chandel, Lovely Professional University, India
Jagroop Singh, Gulf Medical University, UAE
Summary
This chapter explores current practices and future trends in wellbeing measurement, highlighting the importance of a comprehensive approach that includes physical, mental, emotional, social, and financial dimensions. Advanced technologies such as AI, machine learning, and biometric wearables are transforming how organizations collect and analyze wellbeing data, enabling real- time monitoring and personalized interventions. The chapter also addresses challenges such as defining wellbeing, data privacy, and the integration of metrics with business performance. Future trends include adapting measurement strategies to remote and hybrid work environments and incorporating diversity, equity, and inclusion (DEI) considerations. Recommendations emphasize adopting a holistic approach, leveraging technology, ensuring data privacy, and continuously evaluating wellbeing programs. This approach helps organizations foster a supportive work environment that enhances overall employee satisfaction and organizational performance.
Published in: Insights on Wellbeing and Happiness in the Workplace
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