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This study examines how generative artificial intelligence (GAI) and open-innovation orientation (OIO) influence sustainability and innovation performance in Thai microtourism small and medium-sized enterprises (SMEs), mediated by human–AI collaboration quality (HAIC), digital supply chain innovation, and dynamic capabilities for sustainable tourism…

Pursuing sustainable development goals requires enterprises to enhance their environmental, social, and governance (ESG) capabilities. In logistics and supply chain management, where small and medium enterprises dominate, integrating ESG practices is challenging and often favors larger companies with established frameworks. This study introduces an ESG…

Abstract The launch of ChatGPT in late 2022 led to major controversies about the governance of generative artificial intelligence (AI). This article examines the first international governance and policy initiatives dedicated specifically to generative AI: the G7 Hiroshima process, the Organisation for Economic Cooperation and Development reports, and…

Machine learning-based artificial intelligence (AI) chatbots are increasingly used to promote health and encourage individuals to adopt healthier behaviors. Chatbots driven by generative AI (genAI) simulate human interactions through text or voice to generate personalized content with guidance on topics such as smoking cessation, nutrition, managing…

The construction industry has experienced slow productivity growth over the past decade, and generative artificial intelligence (AI) has emerged as a potential solution. However, there is limited understanding of its adoption challenges, particularly from a decision-oriented prioritisation perspective to support effective implementation. This study aims…

The rapid digital transformation of the retail industry has generated increasing demand for intelligent business intelligence systems that can translate natural language managerial inquiries into actionable analytical and predictive decisions. However, existing enterprise analytics solutions either rely on rigid dashboard-based querying or isolated AI…

Purpose Generative artificial intelligence (GenAI) technologies are increasingly being used by both individuals and organizations. However, there is still a lack of in-depth understanding of whether communication professionals are ready to navigate and utilize this disruptive innovation. This study aims to explore how communication professionals perceive…

: As large language models (LLMs) become increasingly integrated into enterprise decision-making processes, structural pressures such as version drift, cross-source evidence integration, and regulatory accountability have shifted the primary challenge from isolated generative performance to system-level consistency, traceability, and governability. This…

Individual resistance to adopting generative artificial intelligence (GenAI) jeopardises its successful implementation in organisations. Across two studies, this paper aims to explain why some individuals embrace GenAI while others oppose it, and investigates whether a growth mindset can facilitate its adoption in organisations. In Study 1, we surveyed…

The meteoric rise of generative artificial intelligence (GenAI) has transformed marketing practices and business models for conducting businesses within the digital economy. GenAI exceeds its typical AI counterpart because besides analyzing data, it helps generate new text, images, and content with added features; therefore, an entirely new avenue for…

Abstract Generative artificial intelligence (GenAI) is a rapidly evolving field that enables novel and valuable information systems. However, developing GenAI-based information systems poses unique challenges that need to be addressed by researchers and practitioners. This paper proposes a method that supports organizations in the responsible engineering…

Abstract Generative AI is embedded in everyday knowledge work, but we know little about how workers preserve human agency when large language models (LLM) output enters real deliverables. Drawing on 15 interviews in two early-adopting German tech firms and analysis of handbooks and workflow artifacts, we examine how professionals keep control and…

This study investigated the utility of Large Language Models (LLMs) in supporting human experts in the maritime industry by generating draft replies to stakeholder inquiries. Using a mixed-methods approach, observations, interviews, a survey, and text similarity analysis, we examined how human experts perceive LLM drafts, how drafts align with final…

Generative AI (GenAI) presents significant opportunities, particularly for creative work like visual design. GenAI can effectively address creative challenges like the “blank page” problem by enabling rapid visual conceptualisation, thereby enhancing productivity in visual design tasks. However, organisations face significant challenges in integrating…