... of implementing a virtual interlining system supported by artificial intelligence (AI) merging data from airports, airlines and destination management organisations (DMOs) with a view to streamlining strategic approaches and service delivery through innovative personalised visitor packages. It is also posited...

...Mohamed Ismail Mohamed Riyath; Riyad Eid Purpose Artificial intelligence (AI) has transformed marketing operations, creating new benchmarks for operational productivity, customer interaction and sales growth. This study investigates factors that affect the adoption of AI among marketing...

...Anjali Dimri; Pankaj Kumar; Deepshi Garg Purpose As artificial intelligence (AI) and machine learning (ML) technologies continue to revolutionize various industries, understanding their impact on job embeddedness becomes crucial. This study examine the role of AI and ML technologies on job...

...Santosh Kumar Shrivastav; Amit Sareen Purpose The purpose of this study is to investigate the various challenges of humanitarian supply chains (HSC) and how these challenges can be addressed using artificial intelligence (AI). Design/methodology/approach This study employs exploratory analysis...

...Meenal Arora; Amit Mittal Purpose This research explores and examines the change in perception artificial intelligence (AI) technology can bring in various human resources (HR) functions [(perception of change that AI can create in the talent acquisition (PAITA), perception of change that AI can...

... the efficacy and productivity of PMS. Practical implications The implementation of new technologies such as Artificial intelligence (AI), machine learning and robotics etc. in PMS have also been analysed to give a sneak peak of the bigger future picture of AI and strategic human resource integration...

..., artificial intelligence (AI), innovativeness, risk-taking ability, and protectiveness. The study highlights the significant role of dynamic capabilities in the handicraft sector during times of crisis, enabling innovation and resilience to risk. Practical implications The study highlights the significant...

... marketing remain understudied. The authors’ review of selected papers delivers five neuro-marketing and facial recognition marketing themes that are essential to modern marketing concepts. Practical implications Neuro-marketing and facial recognition marketing are artificial intelligence (AI)-enabled...

...Anchal Arora; Sanjay Gupta; Chandrika Devi; Nidhi Walia Purpose The financial technology (FinTech) era has brought a revolutionary change in the financial sector’s customer experiences at the national and global levels. The importance of artificial intelligence (AI) in the context of FinTech...

...Surajit Bag; Gautam Srivastava; Md Mamoon Al Bashir; Sushma Kumari; Mihalis Giannakis; Abdul Hannan Chowdhury Purpose The first research objective is to understand the role of digital [artificial intelligence (AI)] technologies on user engagement and conversion that has resulted in high online...

... certainly fall under the broad spectrum of artificial intelligence (AI). AI is a conglomeration of methods and technologies that use computers for a variety of purposes such as problem-solving, reasoning, path recognition, learning, detection or even creating new knowledge (Siurdyban and Møller, 2012...

... Artificial intelligence TOE TTF Talent acquisition Adoption IT/ITeS PLS-SEM AI is defined as “making a machine behave in ways that would be called intelligent if a human were so behaving” (McCarthy et al., 1955 , p. 1). Although AI was defined in 1955, it has gained prominence recently...

... to discuss these issues. Design/methodology/approach The DEA is used to understand the utilization of resources by institutions on the bases of efficiency scores. Due to a greater flexibility and adaptability, neural technique, i.e. self-organized map, which is an artificial intelligence-based technique...