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: Agentic AI is gaining new insights and advancements in the field of Artificial Intelligence, fostering significant potential to enable rapid transformation across various domains. This rapid advancement and the potential to revolutionize various domains advocate the need for a deeper understanding and firm grasp of the technology. More-over, an…

Abstract Millions have adopted tools like ChatGPT in recent years, yet indifference and resistance among employees remain. This qualitative study employs monodramatic projective techniques to explore employees' hidden assumptions and unconscious beliefs in a division attempting to integrate Generative Artificial Intelligence (AI, GAI). Through pretensive…

This study examines the transformative potential of generative artificial intelligence (GAI) on the knowledge management (KM) systems and capabilities in organizations. GAI enables efficient processing and summarization of an organization’s proprietary data, generating actionable outputs and further insights (i.e. new data) for its knowledge workers.…

Grounded in dynamic capability theory, this study investigates how generative artificial intelligence (GenAI) adoption enhances organizational resilience through a qualitative single-case design based on 18 semi-structured interviews conducted within a world-leading logistics company. Our findings provide novel insights into how GenAI supports resilience…

Generative Artificial Intelligence (GenAI) is reshaping business customer experiences. However, the benefits of adopting GenAI are competing with the inherent shortcomings like biases and hallucinations. Therefore, to mitigate the risks of GenAI adoption, the study develops guiding principles to achieve adaptive self-regulation in the use of GenAI within…

As generative AI becomes more integrated into organizational workflow, comprehending the mechanisms that promote its continued utilization by employees has become essential for management. This study investigates the factors influencing organizational members' usage behaviors of generative AI in the workplace, incorporating perceived security and…

Large language models (LLMs) now call tools and APIs in enterprise systems, creating concrete risks: hallucinated parameters, cross-tenant data leakage, and prompt injection. This paper presents an orchestration architecture for multi-tenant deployments where the LLM proposes actions and a deterministic control plane validates and executes them…

The green steel transition requires corporates to operate closed-loop supply chains (CLSCs) that involve operational decisions under heterogeneous data. Although decision models have shifted CLSC operations towards advanced analytics and optimisation, challenges remain in automatically interpreting natural-language requests, enabling data-driven…

Artificial intelligence (AI) has significant potential to transform small- and medium-sized enterprises (SMEs), yet its adoption is often hindered by challenges such as limited financial and human resources. This study addresses this issue by investigating the core AI technologies adopted by SMEs, their broad range of applications across business…

The rapid growth of social media platforms has significantly increased the complexity of managing digital content across multiple channels. Organizations and content creators increasingly require automated systems that can coordinate publishing, interaction handling, and contextual response generation across heterogeneous platforms. Existing content…

KEYWORDS Enterprises increasingly recognize the value of Business Intelligence (BI) systems in enabling data-informed decision-making. However, prior studies using structured data, surveys, and case studies often lack the granularity to capture deployment dynamics across diverse organizational settings. This study addresses that gap by analyzing customer…

Abstract Despite the extensive discussions of human-centric AI (HCAI) in Industry 5.0, its effects on firms’ idiosyncratic risks (IR) remains underexplored. This is an imperative issue for firms navigate financial risks during the current technological revolution, as IR reflects investor reactions to corporate heterogeneous AI strategies and…

Generative AI is reshaping the tourism and hospitality (T&H) industry. This study synthesises existing research, identifies key trends and challenges, and proposes a framework to guide future research. Using the SPAR-4-SLR protocol, we triangulate a systematic literature review with bibliometric mapping, qualitative content analysis, and lexicometric…