...Mingye Li; Alemayehu Molla; Sophia Duan Purpose This study examines how urban mobility organizations, characterized by different ownership, distributed capabilities and inter-organizational dependencies, actualize artificial intelligence (AI) affordances across multiple organizational layers...

...Fangyuan Shen; Tingyu Quan Purpose Agile software development research increasingly treats artificial intelligence (AI) as a knowledge-creating agent yet rarely examines how its outputs become credible project knowledge. Design/methodology/approach Grounded in the knowledge-based view (KBV...

.... The full terms of this licence may be seen at Link to the terms of the CC BY 4.0 licence. Artificial intelligence Performance evaluation Organisational justice Fairness Accountability Transparency Human agency Trust Artificial intelligence (AI) has expanded enterprise information...

... on the London Stock Exchange (LSE) disclose and position artificial intelligence (AI) technologies in relation to sustainable finance initiatives and environmental management practices. Design/methodology/approach Guided by the Resource-Based View (RBV) and Stakeholder Theory, the study employs qualitative...

... artificial intelligence, AI) to help implement sustainability practices (Wang and Zhang, 2025). Concurrently, firms are experiencing immense pressure from society to be responsible. Thus, firms need to be responsible to ensure their survival (Zhong and Um, 2025). These dual pressures create a necessity...

... 2026 28 04 2026 28 04 2026 © Emerald Publishing Limited 2026 Emerald Publishing Limited Licensed re-use rights only Data science Business problems Systematic literature review Artificial intelligence Machine learning Business analytics Funding...

...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...

... in the context of explainable AI/ML. It also offers researchers a transparent, theoretically grounded framework for modelling decision-making behavior in other high-stakes contexts. The integration of artificial intelligence (AI) and machine learning (ML) into auditing has created new opportunities...

... 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...

... construct for examining a firm’s readiness to implement AI-HRM. Algorithmic technologies, including artificial intelligence (AI), which are capable of substituting human expertise for executing cognitive tasks (Giermindl et al., 2022; Gioia et al., 2013), have found increasing...

...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...

... to queries, and empathetic conversation. Therefore, incentives must be developed to integrate artificial intelligence into a communication interface between consumers and companies (Lu et al., 2016). The study model also explains that AI features (PIN and PAN) alone do not influence consumer...

...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...