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Individuals and organisations are increasingly turning to artificial intelligence (AI) technologies to enhance productivity and performance. This research considers the impact of intelligent personal assistants (IPAs) on work practices. IPAs are intelligent applications that automate and perform routine tasks, collaborate with workers, and offer actionable insights and recommendations to help workers make data-driven decisions. In theory, using IPAs can improve workers productivity by supporting and/or helping to transform relevant work practices. However, empirical field-based evidence substantiating such propositions is scarce, and there is little understanding of how such transformation may occur in practice. We, therefore, propose a multiple case study to investigate how work practices change when workers collaborate with IPAs. We aim to contribute to the body of knowledge that explores the relationship between human-AI collaboration and work practices. Moreover, we expect our research to provide useful insights for organisations to better understand the implications of AI in the workplace.



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