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Per André Rønsen

Listen to the latest research on how organizations adopt AI, reshape work, and govern its use. Full papers, read verbatim (by AI).

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Episodis

242 episodis

  1. Closing Time: A Theatre of Augmentation — Njå et al. (2026) 1:05:52
  2. Development of an Agentic Retrieval-Augmented Generation System with Hybrid Retrieval for Budget Planning and Validation — Anggara et al. (2026) 59:31
  3. Governing generative AI in organizations: a design theory and quasi-experimental field study of sociotechnical guardrails — Leon (2026) 2:07:09
  4. Towards Designing AI-Enabled Adaptive Learning Systems — Kabudi (2023) 4:55:52
  5. Human-Centered Artificial Intelligence: Design Principles for Public Services — Schmager (2025) 5:39:59
  6. Applications of AI in Construction: From ambition to practice — Bang (2023) 9:11:10
  7. Enhancing transport innovation knowledge management workflows using artificial intelligence: a TRIMIS database case study — Cheimariotis et al. (2026) 1:57:04
  8. Generative Artificial Intelligence (GenAI) in the research process – A survey of researchers’ practices and perceptions — Andersen et al. (2025) 1:08:26
  9. When Agents Fail to Act: A Diagnostic Framework for Tool Invocation Reliability in Multi-Agent LLM Systems — Huang et al. (2026) 31:45
  10. Getting in Contract with Large Language Models—An Agency Theory Perspective on Large Language Model Alignment — Kaltenpoth & Müller (2026) 42:38
  11. Adopting Large Language Models to Automated System Integration — Pesl (2025) 30:39
  12. The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges — Bandi et al. (2025) 3:28:54
  13. Siyasat: AI-Powered AI Governance Tool to Generate and Improve AI Policies According to Saudi AI Ethics Principles — Alboaneen et al. (2025) 1:25:03
  14. The implementation of artificial intelligence in organizations by functional areas: A review and conceptual model — Aguado-García et al. (2026) 1:20:55
  15. Artificial Intelligence: Objective or Tool in the 21st-Century Higher Education Strategy and Leadership? — Bollaert (2025) 3:02:52
  16. AI-Enabled Customised Workflows for Smarter Supply Chain Optimisation: A Feasibility Study — Javidroozi et al. (2025) 3:09:09
  17. A Complex Leadership Perspective on Generative AI Adoption in SMEs: The Interplay of TAM, TMT, and RBV — Peñarroya-Farell et al. (2025) 1:16:42
  18. Artificial Intelligence Adoption in SMEs: Survey Based on TOE–DOI Framework, Primary Methodology and Challenges — Sánchez et al. (2025) 3:38:43
  19. A critical juncture: Integrating large language models in biostatistical workflows — Sahu (2026) 5:50
  20. ChatGPT and Beyond: Exploring the Responsible Use of Generative AI in the Workplace — Söllner et al. (2025) 1:13:54
  21. Approach or Avoidance: How Does Employees’ Generative AI Awareness Shape Their Job Crafting Behavior? A Sensemaking Perspective — Yan et al. (2025) 1:14:12
  22. A Paradox of Fit: How Job Complexity Shapes AI Self-Efficacy and AI Adoption Through a Curvilinear Mechanism — Akben & Dong (2025) 1:31:50
  23. Examining News Innovation Narratives, Practices and Institutional Logics: A Study on GenAI Adoption in Egyptian Newsrooms — Arafat & Cooper (2025) 1:05:49
  24. AI Integration in the IT Professional Workplace: A Scoping Review and Interview Study with Implications for Education and Professional Competencies — Clear et al. (2025) 3:34:02
  25. Divisional perspectives on trust in generative AI: an empirical study of senior decision-makers — Khac et al. (2025) 1:11:50
  26. Balancing Automation and Accuracy: A Comparative Analysis of AI Integration in News Production — Ebrahimi (2026) 48:44
  27. Infusion of generative artificial intelligence: boosting organizational agility and effectiveness — Koh & Yuen (2026) 1:00:31
  28. Exploring artificial intelligence adoption in public organizations: a comparative case study — Neumann et al. (2022) 1:11:56
  29. One Size Fits Some: How Journalistic Roles Shape the Adoption of Generative AI — Møller et al. (2026) 1:00:14
  30. Factors Affecting the Adoption of Generative AI Tools Among Information Technology Employees: A UTAUT3, TTF, and SOR Perspective — Prasad et al. (2026) 1:05:31
  31. The Proof Is in the Eating: Lessons Learnt from One Year of Generative AI Adoption in a Science-for-Policy Organisation — De Longueville et al. (2025) 1:54:34
  32. Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering — Lu et al. (2024) 1:58:40
  33. The European code of conduct for research integrity — ALLEA (2023) 46:55
  34. Living guidelines on the responsible use of generative AI in research — Commission (2026) 45:48
  35. Task-State Governance: A Virtual Machine for Verifiable and Recoverable GUI Agent Execution — Yang et al. (2026) 1:51:00
  36. Evaluating LLMs as Agentic Workflow Executors in Real-World Customer Support Skills — Laskar et al. (2026) 37:23
  37. Safe, Persistent, and Evolving Agent Harness for Understanding Partially Observable Worlds — Gao et al. (2026) 2:07:43
  38. Evaluating Local Language Model Agents for Reproducible Data Engineering: An Empirical Software Engineering Study of Mobility Workflows — García-Carrasco et al. (2026) 1:28:40
  39. Agentic Agile-V: From Vibe Coding to Verified Engineering in Software and Hardware Development — Koch (2026) 35:35
  40. Living guidelines on the responsible use of generative AI in research — European Commission (2026) 45:49
  41. Symbolic Separation: Grounding Deep Agents in Knowledge Graphs for Trustworthy Operational Data Analytics — Davletiyarov et al. (2026) 1:27:12
  42. Intelligent Agents For Enterprise Knowledge Management-Construction And Application Based On Large Language Models — Tian et al. (2026) 30:15
  43. From AI Adoption to AI Transformation: The AX-5R Framework for Socio-Technical Work System Redesign — Shin et al. (2026) 2:50:20
  44. A Policy-Aligned Agentic RAG Framework for Risk-Aware Decision Support in Enterprise Customer Relationship Management — Ganesan (2026) 1:19:15
  45. Argo-Bench: Evaluating Data Agents on Enterprise-Scale Workflows — Tomitsuka et al. (2026) 2:45:45
  46. Responsible artificial intelligence governance: A review and research framework — Papagiannidis et al. (2025) 1:18:16
  47. Positioning public sector practitioners as ‘moral crumple zones’: Mechanisms in the early use of generative AI work support tools — Choroszewicz (2026) 1:26:14
  48. Homo agenticus in the age of agentic AI: Agency loops, power displacement, and the circulation of responsibility — Leonardi (2025) 1:44:09
  49. From Backlog Items to Security Guidance: Towards Continuous Security Compliance — Núñez et al. (2026) 1:14:55
  50. CredWise: A Controlled Agentic Decision-Intelligence Framework for Explainable and Auditable Credit-Risk Assessment — Tiwari (2026) 1:16:03