HRMARS - The growing digital transformation of the construction industry has intensified the need to understand how artificial intelligence (AI)–powered technologies can enhance employee job performance in complex, project-based work environments. Motivated by the increasing reliance on AI-driven systems and the persistent challenges of workforce productivity, adaptability, and technology adoption in construction settings, this review paper synthesizes existing literature on the impact of AI-powered IT resources and infrastructure, AI-powered cloud platform readiness, and AI-based skills and knowledge on employee job performance. Specifically, the review examines job performance through both task performance and contextual performance dimensions while integrating key technological factors, including perceived complexity, perceived compatibility, and perceived relative advantage, associated with AI-based IT systems and infrastructure. In addition, the study reviews strategic readiness and operational readiness as critical organizational capabilities that support the successful deployment and sustained use of AI-powered cloud platforms. The literature further highlights the importance of AI-related skills and knowledge—particularly perceived ease of use, perceived usefulness, and intention to use—in shaping employees’ acceptance and effective utilization of AI technologies. The key contribution of this review is to offer an integrated conceptual understanding of how technological infrastructure, organizational readiness, and employee competencies collectively influence workplace performance outcomes in the construction industry. By consolidating fragmented literature into a coherent framework, this study enhances its relevance to both academic readers and industry practitioners. It provides a foundation for future empirical investigations and strategic digital transformation initiatives.
Qianglong et al. (2026) studied this question.