This study contributes a unified research model for stakeholder-specific AI adoption, demonstrates a mixed quantitative-qualitative approach, and establishes a scalable foundation beginning with engineers and extending to other stakeholders through future empirical validation.
Assessing the effects of technology reliability (RL), credibility (CR) and technical competence (TEC) on HR professionals’ trust and, subsequently, their intent to deploy AI tools reveals that technology RL, CR and TEC each enhance trust in AI.
R. Arora, Neha Kumari Siradhana· South Asian Journal of Human...· 0 citations
By integrating five theoretical perspectives, the review develops a model of the AI strategic lifecycle, offering both a consolidated foundation for future research and a forwardlooking agenda for managers seeking to leverage AI as a strategic asset.
J. Lambert, O. Garanina· Review of business and econo...· 0 citations
This study synthesises technical and stakeholder dimensions of AI in property valuation using a structured qualitative approach via SLR and proposes a novel hybrid framework that integrates stakeholder trust factors with model precision to enhance both reliability and acceptance of AI tools.
Wajhat Ali, D. Samarasinghe, Zhenan Feng et al.· Urbanization, Sustainability...· 0 citations
It is demonstrated that AI adoption outcomes are contingent upon complementary organizational capabilities, knowledge management infrastructure, human capital quality, and institutional context rather than technology deployment alone.
Ridha Rayan Furqan, W. Adawiyah, Ali Şahin et al.· The International Conference...· 0 citations
Artificial intelligence (AI) is increasingly integrated into corporate strategies and operations, attracting considerable scholarly and practical attention, as well as raising important questions about its implications for firms’ sustainable development. The emerging body of literature has largely focused on the association between AI adoption and firm profitability, overlooking its implications for sustainable corporate governance. To address this gap in the literature, this study develops a novel AI adoption index to examine whether the adoption of AI is associated with stronger environmental, social, and governance (ESG) engagement among Japanese firms. Based on Stakeholder Theory and the Resource-Based View, we find for our sample of 145 Japanese firms that a higher AI adoption rate positively correlates with a higher overall ESG engagement. Specifically, our findings indicate that, after robustness checks, AI adoption is associated with social engagement scores, but not with environmental or governance engagement scores.
Ralf Bebenroth, Kevin Massmann, Yingying Zhang-Zhang· Sustainability· 0 citations
Empirical evidence is provided for the high relevance of procurement for public sector AI services via supplier-related governance perspectives and for the need to refine existing AI readiness and adoption models, particularly for regulated or defense-related procurement environments.
Max Ernst Hamscher, A. Glas, Michael Essig· International Journal of Pub...· 0 citations
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