Workplace Productivity Analytics: Measuring the Impact of Hybrid Work Using Collaboration Data

Md. Rabiul Karim, Thomas G. Pucci, Md. Arman Hossain and Mohammad Towhidul Islam
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Md. Rabiul Karim: Business Administration, Trine University, Detroit, Angola indiana, United States of America (USA)
Thomas G. Pucci: Business Administration, Trine University, Detroit, Angola indiana, United States of America (USA)
Md. Arman Hossain: Business Administration, Trine University, Detroit, Angola indiana, United States of America (USA)
Mohammad Towhidul Islam: Business Administration, Trine University, Detroit, Angola indiana, United States of America (USA)

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 14, 2001-2017

Abstract: This article investigates how workplace productivity analytics, particularly collaboration data, can be used to assess the effects of hybrid work models. Rather than conducting new primary research, this paper synthesizes evidence from scholarly literature, organizational reports, and case studies from large U.S.-based companies such as Microsoft, Google, and Salesforce. The review highlights how collaboration indicators, such as email frequency, meeting durations, and digital communication patterns, are being applied to evaluate productivity and redesign work practices. The study critically examines mechanisms, ethical implications, and policy directions, providing a consolidated perspective for organizations navigating the challenges of hybrid work. In doing so, the paper positions collaboration analytics as both a performance measurement tool and a strategic enabler for managing the future of work.

Date: 2025
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