Title: Paving the future: the role of responsible artificial intelligence, hybrid intelligence and leaders' symbolisation in leveraging breakthrough innovations

Authors: Shahan Bin Tariq; Jian Zhang; Adnan Arshad

Addresses: Business Administration Department, School of Economics and Management, University of Science and Technology Beijing, Beijing, 100083, China ' Business Administration Department, School of Economics and Management, University of Science and Technology Beijing, Beijing, 100083, China ' Department of Business Administration, National College of Business Administration and Economics, Lahore, Pakistan

Abstract: Artificial intelligence (AI) integration within businesses has significantly altered human resource management techniques. Despite AI's expected advantages, employees harbour legitimate concerns and challenges. However, a notable dearth of discourse surrounding responsible AI exists. To bridge this gap, this study draws on signalling theory (ST) and social exchange theory (SET) to present a model outlining responsible AI's (RAI) effect on employees' breakthrough innovation engagement. Using 344 employees' valid survey responses from Pakistan's high-tech sector, Hayes Process Macro was employed to examine the moderated-mediation model. The results illustrate RAI enhances breakthrough innovation engagement through hybrid intelligence utilisation. Moreover, the findings showed that leaders' RAI symbolisation strengthens the relationship between RAI, hybrid intelligence use, and breakthrough innovation engagement. By demonstrating the influential role of RAI in breakthrough innovations, this research offers critical insights for both theory and practice.

Keywords: responsible artificial intelligence; RAI; breakthrough innovation engagement; hybrid intelligence; leaders' RAI symbolisation.

DOI: 10.1504/IJIMS.2025.144366

International Journal of Internet Manufacturing and Services, 2025 Vol.11 No.1, pp.36 - 57

Received: 23 May 2024
Accepted: 15 Nov 2024
Published online: 10 Feb 2025 *