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The aim of this study is to investigate how team-level leader-member exchange (LMX) and the instrumental use of artificial intelligence (AI) by team members influence team psychological empowerment and information systems development (ISD) team performance.

A survey approach was employed to collect time-lagged, multi-source data for testing the proposed model of this study (N = 514 responses from 88 teams). PROCESS macro was used to analyze the data to generate empirical results.

The results suggest that instrumental AI use indirectly influences ISD team performance by enhancing team psychological empowerment. Additionally, it moderates the effects of team-level LMX on team psychological empowerment and ISD team performance. Furthermore, the results demonstrate that the interaction effect of LMX and instrumental AI use on ISD team performance is mediated by team psychological empowerment.

While research on ISD consistently demonstrates that teams, data, and technology collectively contribute to the success of these projects. What is less known, however, is how the exchange relationship between ISD teams and their leader, as well as technological factors, contribute to ISD projects. This study draws on LMX theory to propose how team-level LMX and the instrumental use of AI by team members influence team psychological empowerment and ISD team performance. The study puts forth a mediated moderation model to develop a set of hypotheses. It offers valuable contributions to AI and LMX, along with implications for ISD team management.

This study social based on cognitive theory (SCT), aims to better understand how transformational leadership affects team-level knowledge sharing and absorptive ability in the construction industry. It also examines the moderating influence of the AI-based virtual assistant on the indirect relationship between transformational leadership and team innovation through knowledge sharing and absorptive ability at the team level.

This study used a simple random sample approach to gather data from several small and medium-sized construction firms in Anhui Province, China. A total of 407 respondents, including 89 site engineers and 321 team members, provided their responses on a five-point Likert scale questionnaire.

The findings showed that AI-based virtual assistants significantly moderated the direct and indirect association between transformational leadership and knowledge sharing, and subsequently with team innovation. Unexpectedly, the findings showed that AI-based virtual assistant did not moderate the direct relationship between transformational leadership and team-level absorptive capacity.

This study adds a fresh perspective to the literature on construction management by examining team innovation driven by transformational leadership through an underlying mechanism. It is unique in that it uses the team adaptation theory to investigate the understudied relationship between transformational leadership and team innovation in the construction industry.

This paper delves into the transformative impact of artificial intelligence (AI) across diverse sectors, notably project management. It examines the potential of AI to revolutionize project management processes within entrepreneurial ventures, where agility, efficiency and innovation reign supreme.

Through a comprehensive analysis, this study navigates the intersection of AI and entrepreneurial project management. It meticulously dissects the opportunities AI presents, the hurdles it introduces and the optimal strategies for harnessing its capabilities effectively. Drawing insights from complexity theory, a framework is crafted to delineate AI’s capacity to substitute human involvement, elucidating key considerations for transitioning to a digitally-driven paradigm in entrepreneurial project management.

The study underscores AI’s potential to augment project management processes significantly, particularly in fostering agility and innovation. However, challenges persist, necessitating adept navigation to maximize AI’s benefits. The framework delineates the extent to which AI can supplant human roles, offering crucial insights into the digital transformation of entrepreneurial project management.

Practitioners are equipped with valuable guidance on leveraging AI effectively, enhancing organizational agility and performance. Understanding the implications of AI adoption fosters informed decision-making in the realm of project management.

The integration of AI in entrepreneurial project management signifies broader societal shifts toward digitalization and automation. Insights from this study contribute to navigating these transformations, fostering greater resilience and adaptability in entrepreneurial endeavors.

This study offers a novel perspective on the intersection of AI and entrepreneurial project management, shedding light on unexplored terrain. By drawing on complexity theory, it advances a nuanced understanding of AI’s implications, paving the way for future research avenues in this dynamic field.