All episodes
A Neuro-Symbolic Framework for Legal Accountability in Public-Sector AI — Sunny & Sivan-Sevilla (2026)
Unveiling the Impact of AI Technological Anxiety on the Marketers' Intention to Adopt Generative AI — Tao et al. (2025)
Project portfolio management in the age of artificial intelligence: A review of challenges, key features, and future research directions — Taheripour & Sadjadi (2026)
Unlocking microtourism small and medium-sized enterprises potential: Human–AI synergy and open-innovation pathways to sustainability — Thonglor et al. (2026)
Semantic-Driven Internet of Behaviours for Enhancing Supply Chain ESG Capabilities Through Generative AI — Tsang et al. (2025)
Governance fix? Power and politics in controversies about governing generative AI — Ulnicane (2025)
Results-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild — Der Maden et al. (2026)
AI chatbots for promoting healthy habits: Legal, ethical, and societal considerations — van Kolfschooten et al. (2025)
Prioritising generative AI adoption challenges in construction projects: a Fuzzy Analytic Hierarchy Process approach — Fernández & Shen (2026)
LLM-Driven Business Intelligence for Retail Digital Transformation: A Decision Support System Case Study — Wang & Zhang (2026)
Generative AI risks: are European communication professionals ready? A study on individual and organizational READINESS — Wang et al. (2026)
From Documents to Decisions: Enterprise-Grade LLM Systems for Zero-Hallucination, Attributed Generation, and Regulatory Alignment — Wang et al. (2026)
From understanding resistance to fostering acceptance: how mindsets impact GenAI adoption — Wieland et al. (2026)
The impact of generative AI on marketing innovation and business growth challenges and opportunities in the digital economy — Wishah et al. (2026)
Can GenAI Move from Individual Use to Collaborative Work? Experiences, Challenges, and Opportunities of Coordinating GenAI into Collaborative Newswork — Xiao et al. (2026)
Enhancing supply chain visibility with generative AI: an exploratory case study on relationship prediction in knowledge graphs — Zheng & Brintrup (2025)
Recommendations for efficient and responsible LLM adoption within industrial software development — Ronanki et al. (2026)
Responsible Engineering of Information Systems Based on Generative Artificial Intelligence: An Action Design Research Study at a German Premium Car Manufacturer — Fetzer et al. (2025)
Governing generative AI in organizations: a design theory and quasi-experimental field study of sociotechnical guardrails — Leon (2026)
Episodic oversight in generative AI workflows: A nine-step protocol for preserving human agency (OP-9) — Taş et al. (2026)
Using LLM-generated draft replies to support human experts in responding to stakeholder inquiries in maritime industry: a real-world case study of Industrial AI — Bach et al. (2026)
Results-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild — der Maden et al. (2026)
Design principles for text-to-image generative artificial intelligence creativity support tools for visual design — Herath et al. (2026)
A Framework for Evaluating GenAI Adoption and Use in Software Engineering — Yu et al. (2026)
AI for the underdogs: Navigating risk and growth in high-tech micro-firms through generative artificial intelligence — Shahzad et al. (2026)
Position: Vibe Coding Needs Vibe Reasoning: Improving Vibe Coding with Formal Verification — Mitchell & Shaaban (2025)
The Values of Value in AI Adoption: Rethinking Efficiency in UX Designers' Workplaces — Cha et al. (2026)
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of Artificial Intelligence on Knowledge Worker Productivity and Quality — Dell’Acqua et al. (2026)
Guardrails versus Gatekeepers: Understanding Product Managers' Ethical Decision-Making in Generative AI — Smith et al. (2026)
Enacting Responsible AI: A Configurational Analysis of AI Principles in Practice — Akbarighatar et al. (2026)
AI governance: a systematic literature review — Batool et al. (2025)
When humans stop thinking: tackling the silent threat of AI complacency in service operations — Le & Kunz (2026)
Ready or Not, AI Comes— An Interview Study of Organizational AI Readiness Factors — Jöhnk et al. (2021)
Piloting a maturity model for responsible artificial intelligence: A portuguese case study — Ferreira et al. (2025)
Generative AI Adoption in B2B Firms: Ethical Governance, Innovation Capabilities, and Long-Term Competitive Performance — Alves et al. (2026)
The unequal adoption of ChatGPT exacerbates existing inequalities among workers — Humlum & Vestergaard (2025)
Still just personal assistants? – A multiple case study of generative AI adoption in software organizations — Kemell et al. (2025)
Trustworthy-by-Design Generative AI Assistants for Industrial Troubleshooting: A Knowledge Graph Grounded Architecture — Jadhav et al. (2026)
Beyond the hype: Organisational adoption of Generative AI through the lens of the TOE framework–A mixed methods perspective — Hughes et al. (2026)