Examining the impact of generative artificial intelligence on work dynamics

  • David Richard Lozie School of Business, Trent University, Durham GTA
  • Robina Omasa School of Business, Trent University, Durham GTA
  • Sara Hesami School of Business, Trent University, Durham GTA
  • Shenjuti Zaman School of Business, Trent University, Durham GTA
  • Mahsa Kajbaf School of Business, Trent University, Durham GTA
  • Amina Raza Malik School of Business, Trent University, Durham GTA
Ariticle ID: 3420
925 Views, 153 PDF Downloads
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.

Author Biographies

David Richard Lozie, School of Business, Trent University, Durham GTA
Mr Lozie is a Masters of Management Student in the School of Business at Trent University, Canada.
Robina Omasa, School of Business, Trent University, Durham GTA
Ms Omasa is a Masters of Management Student in the School of Business at Trent University, Canada.
Sara Hesami, School of Business, Trent University, Durham GTA
Ms Hesami is a Masters of Management Student in the School of Business at Trent University, Canada.
Shenjuti Zaman, School of Business, Trent University, Durham GTA
Ms Zaman is a Masters of Management Student in the School of Business at Trent University, Canada.
Mahsa Kajbaf, School of Business, Trent University, Durham GTA
Ms Kajbaf is a Masters of Management Student in the School of Business at Trent University, Canada.
Amina Raza Malik, School of Business, Trent University, Durham GTA
Dr Amina Malik is an Associate Professor of HRM in the School of Business at Trent University.

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Published
2024-02-06
How to Cite
Lozie, D. R., Omasa, R., Hesami, S., Zaman, S., Kajbaf, M., & Malik, A. R. (2024). Examining the impact of generative artificial intelligence on work dynamics. Human Resources Management and Services, 6(2). https://doi.org/10.18282/hrms.v6i2.3420
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Article