The Impact of AI Driven HRM on Sustainable Project Performance: Role of Top Management Support as moderator and Digital Knowledge sharing as a mediator

Abstract

Artificial Intelligence (AI) is reshaping organisational processes, with HRM as a key application area. As sustainability becomes essential, strong HR practices and supportive leadership are critical. While AI-driven HRM is widely explored in developed economies, limited evidence exists for emerging contexts. This study examines its impact on sustainable project performance in Pakistan, with Digital Knowledge Sharing as a mediator and Top Management Support as a moderator.The resear ch design adopted was quantitative, where 200 respondents were surveyed in various industries in Pakistan using a structured survey. The reliability and validity of the constructs were also assured by screening data and Cronbach alpha were found to be larger than the recommended value. The direct, mediating, and moderating effects were tested by carrying out correlation and regression analyses using IBM SPSS and a PROCESS macro developed by Hayes. The results affirm that AI-HRM will positively influence SPP, which testifies to its strategic impact on sustainable performance. Notably, DKS was also identified to partially mediate the relationship between AI-HRM and SPP, which implies that the efficacy of AI-driven HRM practices is increased with the presence of knowledge sharing. Moreover, the relationship was enhanced by TMS, as AI-HRM influenced SPP more with the presence of visible managerial support, resources, and commitment. Theoretically, the research applies socio-technical systems theory to the emerging economies situation. It highlights that AI-HRM practices must be aligned with sustainability goals, organisations must invest in digital platforms to enable effective knowledge sharing, and top management must actively support AI adoption to achieve the highest sustainability results.