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Exploring the Productivity Impacts of Generative AI in Organizations

  • Benjamin Semujanga,
  • Patrick Mikalef

摘要

This research paper explores the impact of Generative AI (GenAI) on human productivity within organizations, focusing on the perspective of employees. Using an exploratory case-study method, we conducted semi-structured interviews with 17 participants from various roles to understand how GenAI impacts work process and productivity. Our findings suggest that these tools can automate routine tasks and enable new workers to acquire skills rapidly, but that GenAI adoption may also entail time-consuming upskilling for individuals and undermined team workflow. Furthermore, by employing a Human Resources Management (HRM) perspective, this paper contributes to the Information Systems (IS) literature by offering a nuanced understanding of the organizational impacts of GenAI, suggesting that a balanced approach seems essential to maximize the potential benefits while limiting the drawbacks of these new tools.