...Mohamed Y. Tazkarji; Chen-Huei Chou; Gracia Hamadeh Purpose Despite immense growth in artificial intelligence ( AI ) within healthcare enterprise systems, early-stage adoption remains furrowed. By privileging technical capability and individual acceptance, existing research underexplains AI...

... Publishing Limited 2025 Emerald Publishing Limited Licensed re-use rights only Fraud risk factors Auditing Throughput model Machine learning Artificial intelligence Cognitive-behavioral framework The integration of artificial intelligence (AI) and machine learning (ML) into auditing...

... thanks to emerging technologies, particularly artificial intelligence (AI). The article concludes with a research agenda aimed at enhancing EA using the capabilities offered by AI. This paradigm shift would enable EA to support ongoing business transformation and act as a strategic accelerator in complex...

...Qing Yang; Abdullah Al Mamun; Mohammad Nurul Hassan Reza; Tianjiao Wang Purpose Artificial intelligence (AI) is widely recognized for its role in enhancing supply chain efficiency and resilience. However, its specific impact on advancing low-carbon supply chain integration (LSCI) remains...

.... Therefore, to gain a competitive edge in the digital age and to yield net benefits, this study endeavours to define the research problem, i.e. should a firm adopt artificial intelligence (AI) in HCD? For the investigation, it explores various disciplines of HCD, validates whether AI has capabilities to meet...

...Jagroop Singh; Vinaytosh Mishra; Sakshi Kathuria; Manjeet Kharub Purpose Artificial intelligence (AI) is rapidly transforming healthcare, offering significant administrative and delivery benefits. However, the rapid evolution of AI applications often renders solutions quickly obsolete, raising...

...Norah Albishri; Jaskirat Singh Rai; Rekha Attri; Muhammad Zafar Yaqub; Steven T. Walsh Purpose This research aims to examine the adoption and continued use of generative artificial intelligence among Saudi business executives, using the diffusion of innovation (DOI) theory framework. It addresses...

... of open-ended essays is that they allow the respondents to express their experiences and opinions in a textual form, with no direct contact with researchers. This can be expected to enable participants to give their honest opinion without any pressure or influence. AI-HRM Artificial intelligence...

...Qiwei Pang; Jian Du; Mingjie Fang; Lu Wang Purpose This study aims to analyze the impact of big data analytics powered by artificial intelligence (AI–BDA) on the sustainable practice performance in shipping organizations and to establish a strategic mechanism to achieve sustainable management...

... and authors. The full terms of this licence may be seen at Link to the terms of the CC BY 4.0 licence . Artificial intelligence Purchase intention CEO Strategic management executive decision-making Technology adoption Artificial intelligence (AI) has emerged as one of the most influential...

...Devnaad Singh; Rohit Kumar Singh; Anupam Sharma; Prashant Singh Rana Purpose Supply networks rarely operate in a stable, steady state. Thus, businesses must carefully plan for unpredictable events to mitigate risks. Consequently, this research investigates how artificial intelligence (AI), machine...

... of artificial intelligence (AI) on supply chain resilience (SCR) through a review of the existing literature. To address the gap of AI on SCR, this study focused on answering the following two research questions: (1) What is the role of AI technologies in SCR? (2) What are the key ethical and social...

...-use rights only Artificial intelligence Expectation confirmation Digital bank PLS-SEM Digital transformation extends far beyond simply transitioning from traditional banking to a digital environment (Carbó-Valverde et al., 2020). With the arrival of banking as a service...

...Laxmi Pandit Vishwakarma; Rajesh Kr Singh; Ruchi Mishra; Mani Venkatesh Purpose The study aims to synthesize existing knowledge and proposes a research framework for building a resilient supply chain (SC) through artificial intelligence (AI) technology. It also identifies existing literature gaps...

... experience difficulties in two key areas: 1) how to organise stocks of donated food, and 2) how to assess the donated items quality and fitness for purpose. To address both these problems, the authors aimed to develop a novel artificial intelligence (AI)-based approach to food quality and warehousing...

...Rohit Kumar Singh; Sachin Modgil; Adam Shore Purpose In the uncertain business environment, the supply chains are under pressure to balance routine operations and prepare for adverse events. Consequently, this research investigates how artificial intelligence is used to enable resilience among...

...Gunjan Malhotra; Mahesh Ramalingam Purpose This study explores features that impact consumers' purchase intention through artificial intelligence (AI), because it is believed that through artificial intelligence, consumers' intention to purchase grows significantly, especially in the retail sector...

...Sonja Brauner; Matthias Murawski; Markus Bick Purpose The current gap between the required and available artificial intelligence (AI) professionals poses significant challenges for organisations and academia. Organisations are challenged to identify and secure the appropriate AI competencies...

... scholarly debate to multiple services industries beyond the telecom sector in emerging economies. Practical implications RPA is a disruptive technology on the artificial intelligence (AI) continuum. It has the potential to change the ways of working and enable technology-driven transformation. However...

...Yusra Qamar; Rakesh Kumar Agrawal; Taab Ahmad Samad; Charbel Jose Chiappetta Jabbour Purpose An original systematic review of the academic literature on applications of artificial intelligence (AI) in the human resource management (HRM) domain is carried out to capture the current state-of-the-art...