All episodes

Personalism in Generative AI Deployment: Deciding Ethically When Human Creative Expression is at Stake — Fioravante & Vaccaro (2025)

Expert perspectives on the requirements for implementing prehospital peripheral nerve blocks: a survey among members of the European Society of Regional Anaesthesia (ESRA) — Gaik et al. (2026)

Governance of Generative Artificial Intelligence: A Contemporary and Institutional Perspective — Hasan (2025)

Fostering Organizational Collective Intelligence From Human-Generative AI Interaction — Hino et al. (2026)

Permission-Aware RAG: Identity and Access Management (IAM)-Based Access Filtering in Multi-Resource Environments — Jeong & Lee (2025)

DKC-LLM: Dynamic Knowledge Caching for Large Language Models in Business Applications — Khaliq & Adebayo (2026)

The Intellectual Structure and Thematic Evolution of Trust in AI Research: A BERTopic Analysis — Kim et al. (2026)

Construction of Knowledge Graph for Enterprise Mergers and Acquisitions: Cross-Domain Value Mining Method of Large Language Model (LLM) and Graph Neural Network — Li (2025)

What Can a Business School Do When Generative Artificial Intelligence Replaces Entry-Level Graduate Jobs? — Liu et al. (2026)

Exploring the Challenges of Generative AI on Public Sector Communication in Europe — Lovari & De Rosa (2025)

Developing and evaluating a design method for positive artificial intelligence — der Maden et al. (2024)

Artificial Intelligence, Publication Ethics, and the Future of Scholarly Publishing: An Editor’s Perspective — Makuloluwa (2026)

Artificial Intelligence in Organizations: A Systematic Review of Operationalizing Generative Artificial Intelligence Capabilities for Organizational Performance — MacHkour & Abriane (2026)

A Network Approach to Public Trust in Generative AI — McIntyre et al. (2025)

Real-Time Conversational Analysis Using LLMs for B2B E-Commerce Customer Value Management — Nugroho et al. (2026)

Integrating AI and Large Language Models for Automated Data Quality Enhancement in Data Integration Systems — Ponon & Basani (2026)

Code Comprehension Gaps in AI-Assisted Development: A Conceptual Framework for Knowledge Erosion Patterns — Patel et al. (2026)

“Generative AI literacy across education and business: competencies, obstacles, and benefits—a systematic literature review” — Reicho et al. (2026)

Trust and overreliance on ChatGPT and its implications on critical thinking: an exploration in health policy — Rosas-Jiménez et al. (2026)

Rethinking organizational decision-making: The emerging roles and tasks of generative artificial intelligence — Schulte & Kanbach (2026)

CogDeBias: An LLM-Based Multilingual Framework for Cognitive Bias Detection and Mitigation in Corporate Decision-Making Texts — Shen et al. (2026)

A model for incorporating AI into ERP software — Sarferaz (2026)

Who Is Responsible When AI Gets Cancer Information Wrong? Implications for Patient Education — Suksatan (2026)

Activity-Based Costing Framework for Total Cost of Ownership Analysis of LLM Services — Tombor & Abonyi (2026)

The ethics of artificial intelligence systems in healthcare and medicine: from a local to a global perspective, and back — Vandemeulebroucke (2025)

Improving LLM Outputs Against Jailbreak Attacks With Expert Model Integration — Tsmindashvili et al. (2025)

Advancing the use of artificial intelligence in health technology assessment activities: insights and next steps from the 2025 HTAi Global Policy Forum — Trowman et al. (2026)

Adoption of generative artificial intelligence to improve business management innovation in Ecuador; [Adopción del uso de la Inteligencia Artificial generativa en la mejora de la innovación de la administración de las empresas en Ecuador] — Vaca et al. (2025)

Would you rather work with ChatGPT or a human coworker? Exploring the impact of generative AI on job satisfaction — Zahs & Schmodde (2026)

Benchmarking large language models for supply chain risk identification: an extended evaluation within the LARD-SC framework — Zhao et al. (2025)

Optimizing employee roles in the era of generative AI: a multi-criteria decision-making analysis of co-creation dynamics — Agarwal (2025)

Factors influencing generative artificial intelligence adoption in Vietnam’s banking sector: an empirical study — Youssef et al. (2025)

DeepSeek vs. ChatGPT: A Comparative Evaluation of AI Tools in Composition, Business Writing, and Communication Tasks — Alafnan (2025)

Continuous Business Process Improvement Driven by Large Language Models — Araujo et al. (2026)

Conversational Enterprise Management Through Agentic AI: A Five-Pillar Framework for LLM-Driven ERP Systems — Assidiqi et al. (2026)

SECURITY IN GENERATIVE AI SYSTEMS: A COMPREHENSIVE LITERATURE REVIEW — Basheer & Darney (2026)

Beyond the GenAI hype: a framework for Generative AI in business — Bauch et al. (2026)

Advancing 21st-Century Professional Competencies with Learning Analytics in the Age of Generative AI — Barthakur et al. (2026)

Leisure futures: a hybrid approach integrating generative AI and design futures — Bevolo & Draeger (2025)

Data Governance Meets Generative Artificial Intelligence: Towards A Unified Organizational Framework — Bernardo et al. (2026)

Generative AI as a driver of organizational creativity: Evidence from the absorptive capacity perspective — Boulitama et al. (2026)

From Principle to Practice: Value Alignment in AI Ethics and Governance — Cao (2025)

Towards Understanding Professional AI Assistant Use: Human-in-the-Loop Topic Modeling of Multi-turn Conversations — Chen et al. (2026)

The promise and peril of generative AI for organizational selection and socialization — Chu & Srivastava (2026)

Redefining the Programmer: Human-AI Collaboration, LLMs, and Security in Modern Software Engineering — La Cruz et al. (2025)

Integrating Generative AI in Business Intelligence: A Practical Framework for Enhancing Augmented Analytics — Desai & Desai (2025)

Generative AI-enabled intelligent auditing: an organizational adaptation mechanism study based on dynamic capability theory — Deng et al. (2025)

From Gains to Strains: Modeling Developer Burnout with GenAI Adoption — Feng et al. (2026)

Adoption of Generative Artificial Intelligence in the German Software Engineering Industry: An Empirical Study — Felder et al. (2026)

Exploring artificial intelligence adoption among Italian firms: the AI readiness level — Costa et al. (2026)

Artificial Intelligence agents and autonomous decision-making in business: a review — Ghane et al. (2026)

Emergence of Agentic AI: A Review on Evolution, Background, Working Principles, Applications, Adoption Factors, and Future Research Directions — Haque et al. (2026)

Distrust and disillusionment toward generative artificial intelligence: Psychodramatic exploration of employee trust in organizational technology acceptance — Hartyándi (2025)

Generative artificial intelligence in creative contexts: a systematic review and future research agenda — Heigl (2026)

From Generative AI Adoption to Sustainable Performance Operations Capability Mediation and Environmental Dynamism — He & Yang (2025)

When Your Boss Is an AI Bot: Exploring Opportunities and Risks of Manager Clone Agents in the Future Workplace — Hu et al. (2026)

Generative artificial intelligence and organizational knowledge management: four alternative configurations — Hussinki et al. (2026)

Deployment of generative artificial intelligence to enhance organisational resilience: empirical evidence from the logistics industry — Hou et al. (2026)

Guiding principles for the development of adaptive self-regulating guidelines for the use of generative artificial intelligence in the business customer experience — Kanganga & Mtotywa (2026)

Understanding Generative AI Usage Behavior in the Workplace: Focusing on the Moderating Role of Subscription to Premium Version — Kim & Kim (2026)

Trust-Aware Orchestration Architecture for LLM-Assisted Workflows in Multi-Tenant Enterprise Systems — Leburu (2026)

Integrated large language models and digital twin-based decision support in closed-loop supply chain operations: green steel transition case study — Le et al. (2026)

Artificial Intelligence in SMEs: Enhancing Business Functions Through Technologies and Applications — Le Dinh et al. (2025)

A Workflow-Oriented Architecture Integrating Large Language Models for Automated Multi-Platform Content Management — Le & Nguyen (2026)

Enhancing Power Enterprise Inspection and Supervision: A LoRA-Based Lightweight LLM Framework Integrating Retrieval-Augmented Generation and Prompt Engineering — Liu et al. (2026)

Exploring the Relationship Between Human-Centric AI and firm Idiosyncratic Risks — Liu et al. (2026)

Mapping generative AI research in tourism and hospitality — Malekpour et al. (2026)

Linking technology readiness and the job demands–resources framework: how generative AI shapes work in small and medium enterprises? — Marimon et al. (2026)

Exploring Large Language Model AI tools in Construction Project Risk Assessment: Chat GPT Limitations in Risk Identification, Mitigation Strategies, and User Experience — Martin et al. (2025)

A Neurosymbolic Multi-Agent System for Explainable and Traceable Decision-Making in Organizational Contexts — Mertzani et al. (2026)

The promise of productivity or a source of anxiety? Employees’ perspectives on GenAI and workplace outcomes — Mohamud et al. (2026)

In-Mig: Geographically Dispersed Agentic LLMs for Privacy-Preserving Artificial Intelligence — Nauman (2026)

Limitations of RPA Implementations: Exploring the Barriers of Organizational Environments — Nunes et al. (2026)

Design principles for artificial intelligence-augmented decision making: An action design research study — Pathirannehelage et al. (2024)

Large Language Models in Clinical Trial Recruitment: Sociotechnical and Economic Framework Development Study — Qian (2026)

Towards Designing for Resilience: Community-Centered Deployment of an AI Business Planning Tool in a Pittsburgh Small Business Center — Lauro et al. (2026)

Physical therapists’ perspectives on a large language model-powered knowledge translation tool for guideline adherence: A qualitative focus group study — Rosen et al. (2026)

Organization Matters: A Qualitative Study of Organizational Dynamics in Red Teaming Practices For Generative AI — Ren et al. (2025)

Achieving green competitive advantage through generative AI: the mediating roles of organisational creativity and green innovation ambidexterity in manufacturing — Ruangkanjanases et al. (2025)

Understanding Human-Centred AI: a review of its defining elements and a research agenda — Schmager et al. (2025)

EVALUATING THE IMPACT OF CHATGPT IMPLEMENTATION ON HR PERFORMANCE SKILLS: A CASE STUDY OF ACADEMIC INSTITUTIONS IN OMAN — Shannaq & Alabri (2025)

AI at the Front Lines of Platform Governance: Using LLMs to Support Illegal Content Reporting under the Digital Services Act — Sekwenz et al. (2026)

Unravelling the Blockades in Implementing Large Language Models in Construction Sector — Singh et al. (2026)

Early Insights Among Emergency Medicine Physicians on Artificial Intelligence: A National, Convenience-sample Survey of the American College of Emergency Physicians — Shy et al. (2026)

From Satisfaction to Strategy: A Structural Model for Implementing Generative AI Chatbots in Campus Bureaucracy Toward Sustainable Service Innovation — Sofiyah et al. (2025)

The impact of ChatGPT integration and customer relationship management on MSME sales performance with operational efficiency as a mediating variable — Sutrisno et al. (2025)

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)