Examining the impact of generative artificial intelligence on work dynamics

David Richard Lozie; Robina Omasa; Sara Hesami; Shenjuti Zaman; Mahsa Kajbaf; Amina Raza Malik

doi:10.18282/hrms.v6i2.3420

David Richard Lozie School of Business, Trent University, Durham GTA, Oshawa L1J 5Y1, Ontario, Canada
Robina Omasa School of Business, Trent University, Durham GTA, Oshawa L1J 5Y1, Ontario, Canada
Sara Hesami School of Business, Trent University, Durham GTA, Oshawa L1J 5Y1, Ontario, Canada
Shenjuti Zaman School of Business, Trent University, Durham GTA, Oshawa L1J 5Y1, Ontario, Canada
Mahsa Kajbaf School of Business, Trent University, Durham GTA, Oshawa L1J 5Y1, Ontario, Canada
Amina Raza Malik School of Business, Trent University, Durham GTA, Oshawa L1J 5Y1, Ontario, Canada

Ariticle ID: 3420

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DOI: https://doi.org/10.18282/hrms.v6i2.3420

Keywords: employee well-being; generative AI; human resource management; work dynamics

Abstract

The main purpose of this paper was to examine the impact of generative artificial intelligence (AI) on employee well-being and work dynamics. Using qualitative methodology, three semi-structured interviews were conducted to investigate the implications of generative AI on employee outcomes such as efficiency, job satisfaction, ethical considerations, and work-life balance. The findings highlighted the potential benefits and risks associated with generative AI implementation in the workplace. The study contributed to the literature by adopting a qualitative approach, allowing in-depth exploration of individual experiences with generative AI in the workplace. The study discussed the implications for employers, employees, and society.

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