The study investigates the impact of strategic purchasing (SP) on manufacturing firms’ economic, environmental, and social sustainability. It also examines the moderating impact of blockchain technology (BCT) between SP and sustainability performance. The study additionally applied importance-performance map analysis (IPMA) to analyze BCT benefits to sustainability performance in Jordanian manufacturing sector. The study is quantitative in nature, and the data collected through a structured questionnaire from managers at different levels of management within manufacturing firms in Jordan resulted in 316 responses. The results of the study showed that SP has a significant and positive impact on all dimensions of sustainability performance. Additionally, the study revealed that BCT has a significant moderating impact on the relationship between SP and sustainability performance. Finally, the study identified BCT benefits importance that affect each type of sustainability performance along with their priorities. This study made a theoretical contribution by developing a framework that will help researchers gain a better understanding of the SP, BCT, and sustainable performance. Moreover, the study provided practical insights for strategic decision-making in the manufacturing sector. It highlighted SP’s role in sustainability performance and how companies can invest in BCT to improve sustainability. The study warns against generalizability and emphasizes the need to conduct the study in specific industries or countries.

Artificial intelligence (AI) has revolutionized the way employees and managers work. This paper studies how AI is transforming Human Resource Management (HRM) functions: Staffing, Learning & Development and, Motivation. Using recent advances in science mapping, this article analyses 30 journals and proceedings using three main keywords: “Artificial intelligence”; “Human Resource Management”; and “Transformation”. All the consulted papers have been published in Scopus databases between 1998 to 2021 in order to explore and understand topic content and intellectual structure of how AI is transforming HRM functions. The results reveal a gap in literature to build a complete framework for the transforming role of AI in HRM functions. Particularly, Strategic HR Planning, Job Design and Compensation. This study gives insights and foundations for researchers to expand their study on the role of AI in HRM.