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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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- 1 More Paper
Closing Time: A Theatre of Augmentation — Njå et al. (2026)
When AI removes the friction of building software, the practitioners doing the building are the first to learn what freed capacity becomes. Between 2024 and…
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Development of an Agentic Retrieval-Augmented Generation System with Hybrid Retrieval for Budget Planning and Validation — Anggara et al. (2026)
Abstract Budget planning and validation require users to examine cost references, compare proposed budget items with relevant guidelines and historical…
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Governing generative AI in organizations: a design theory and quasi-experimental field study of sociotechnical guardrails — Leon (2026)
Abstract Generative AI adoption has outpaced organizational governance capabilities. We conceptualize AI guardrails as sociotechnical governance mechanisms…
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Towards Designing AI-Enabled Adaptive Learning Systems — Kabudi (2023)
This Full Reading presents the paper's text as an audio edition. Authors: Tumaini Kabudi Institution: University of Agder Publication date: 2023 Read the…
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Human-Centered Artificial Intelligence: Design Principles for Public Services — Schmager (2025)
This Full Reading presents the paper's text as an audio edition. Authors: Stefan Schmager Institution: University of Agder Publication date: 2025 Read the…
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Applications of AI in Construction: From ambition to practice — Bang (2023)
This Full Reading presents the paper's text as an audio edition. Authors: Sofie Bang Institution: Norwegian University of Science and Technology…
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Enhancing transport innovation knowledge management workflows using artificial intelligence: a TRIMIS database case study — Cheimariotis et al. (2026)
The study reports an LLM-assisted public-sector knowledge-management workflow using iterative prompt refinement, structured outputs and verbatim evidence…
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Generative Artificial Intelligence (GenAI) in the research process – A survey of researchers’ practices and perceptions — Andersen et al. (2025)
This study explores the use of generative AI (GenAI) and research integrity assessments of use cases by researchers, including PhD students, at Danish…
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When Agents Fail to Act: A Diagnostic Framework for Tool Invocation Reliability in Multi-Agent LLM Systems — Huang et al. (2026)
Multi-agent systems powered by large language models (LLMs) are transforming enterprise automation, yet systematic evaluation methodologies for assessing…
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Getting in Contract with Large Language Models—An Agency Theory Perspective on Large Language Model Alignment — Kaltenpoth & Müller (2026)
Getting in Contract with Large Language Models – An Agency Theory Perspective on Large Language Model Alignment Research Paper Sascha Kaltenpoth1 and Oliver…
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Adopting Large Language Models to Automated System Integration — Pesl (2025)
Adopting Large Language Models to Automated System Integration Robin D. Pesl University of Stuttgart, Stuttgart, Germany the email address Abstract Modern…
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The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges — Bandi et al. (2025)
Agentic AI systems are a recently emerged and important approach that goes beyond traditional AI, generative AI, and autonomous systems by focusing on…
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Siyasat: AI-Powered AI Governance Tool to Generate and Improve AI Policies According to Saudi AI Ethics Principles — Alboaneen et al. (2025)
The rapid development of artificial intelligence (AI) and growing reliance on generative AI (GenAI) tools such as ChatGPT and Bing Chat have raised concerns…
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The implementation of artificial intelligence in organizations by functional areas: A review and conceptual model — Aguado-García et al. (2026)
Abstract The rapid expansion of artificial intelligence has accelerated its adoption across organizational functions. However, existing reviews often adopt…
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Artificial Intelligence: Objective or Tool in the 21st-Century Higher Education Strategy and Leadership? — Bollaert (2025)
Since the launching of ChatGPT (generative) AI has been developed so much and fast that it has entered higher education (HE) and higher education institutions…
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AI-Enabled Customised Workflows for Smarter Supply Chain Optimisation: A Feasibility Study — Javidroozi et al. (2025)
This study investigates the integration of Large Language Models (LLMs) into supply chain workflow automation, with a focus on their technical, operational…
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A Complex Leadership Perspective on Generative AI Adoption in SMEs: The Interplay of TAM, TMT, and RBV — Peñarroya-Farell et al. (2025)
Although Generative Artificial Intelligence (GenAI) is one of the strategic choices for digital transformation in small and medium-sized enterprises (SMEs)…
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Artificial Intelligence Adoption in SMEs: Survey Based on TOE–DOI Framework, Primary Methodology and Challenges — Sánchez et al. (2025)
Despite the transformative potential of artificial intelligence (AI), small and medium-sized enterprises (SMEs) continue to face significant challenges in its…
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A critical juncture: Integrating large language models in biostatistical workflows — Sahu (2026)
This Full Reading presents the paper's text as an audio edition. Abstract source: unavailable Authors: V. Sahu Publication date: 2026 Read the paper…
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ChatGPT and Beyond: Exploring the Responsible Use of Generative AI in the Workplace — Söllner et al. (2025)
This Full Reading presents the paper's text as an audio edition. Abstract source: unavailable Authors: Matthias Söllner, Thomas Arnold, Alexander Benlian…
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Approach or Avoidance: How Does Employees’ Generative AI Awareness Shape Their Job Crafting Behavior? A Sensemaking Perspective — Yan et al. (2025)
Given the significant impact of Generative AI (GenAI) in the workplace, there are surprisingly few empirical studies examining how employees’ GenAI awareness…
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A Paradox of Fit: How Job Complexity Shapes AI Self-Efficacy and AI Adoption Through a Curvilinear Mechanism — Akben & Dong (2025)
The rapid emergence of generative AI is transforming how employees engage with technology to perform tasks, make decisions, and create value. Despite its…
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Examining News Innovation Narratives, Practices and Institutional Logics: A Study on GenAI Adoption in Egyptian Newsrooms — Arafat & Cooper (2025)
AI and algorithms play a crucial role in the processes of gathering, filtering and sharing news. But scholars have focused primarily on the use of such tools…
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AI Integration in the IT Professional Workplace: A Scoping Review and Interview Study with Implications for Education and Professional Competencies — Clear et al. (2025)
As Artificial Intelligence (AI) continues transforming workplaces globally, particularly within the Information Technology (IT) indus-try, understanding its…
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Divisional perspectives on trust in generative AI: an empirical study of senior decision-makers — Khac et al. (2025)
ChatGPT opened a new chapter for using artificial intelligence (AI). Our results from 500 senior corporate decision-makers, focus on trust in introducing…
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Balancing Automation and Accuracy: A Comparative Analysis of AI Integration in News Production — Ebrahimi (2026)
This study examines generative artificial intelligence integration in news production through comparative institutional analysis of the BBC (public service…
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Infusion of generative artificial intelligence: boosting organizational agility and effectiveness — Koh & Yuen (2026)
Organizational agility is vital when responding to turbulent market environments, and effectiveness to ensure long-term competitiveness in the market…
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Exploring artificial intelligence adoption in public organizations: a comparative case study — Neumann et al. (2022)
Despite the enormous potential of artificial intelligence (AI), many public organizations struggle to adopt this technology. Simultaneously, empirical research…
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One Size Fits Some: How Journalistic Roles Shape the Adoption of Generative AI — Møller et al. (2026)
The rise of generative artificial intelligence (AI) has sparked debate about its implications for journalism and the roles of journalists. Yet, the interplay…
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Factors Affecting the Adoption of Generative AI Tools Among Information Technology Employees: A UTAUT3, TTF, and SOR Perspective — Prasad et al. (2026)
This empirical study examined the components that affect the adoption and actual use of generative AI tools among information technology (IT) employees in…
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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)
This paper presents the key results of a large-scale empirical study on the adoption of Generative AI (GenAI) by the Joint Research Centre (JRC), the European…
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Responsible AI Pattern Catalogue: A Collection of Best Practices for AI Governance and Engineering — Lu et al. (2024)
Responsible Artificial Intelligence (RAI) is widely considered as one of the greatest scientific challenges of our time and is key to increase the adoption of…
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The European code of conduct for research integrity — ALLEA (2023)
This Full Reading presents the paper's text as an audio edition. Authors: ALLEA Literature type: Report Issuing organisation: ALLEA Peer review: Not…
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Living guidelines on the responsible use of generative AI in research — Commission (2026)
This Full Reading presents the paper's text as an audio edition. Authors: European Commission Literature type: Report Issuing organisation: European…
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Task-State Governance: A Virtual Machine for Verifiable and Recoverable GUI Agent Execution — Yang et al. (2026)
Graphical user interface (GUI) agents now execute workflows across real applications, but when execution drifts, users must determine what changed, what should…
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Evaluating LLMs as Agentic Workflow Executors in Real-World Customer Support Skills — Laskar et al. (2026)
Enterprise customer-support agents increasingly rely on Large Language Models (LLMs) to execute bounded, tool-using workflows. We study this problem through…
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Safe, Persistent, and Evolving Agent Harness for Understanding Partially Observable Worlds — Gao et al. (2026)
Large language model agents can invoke tools fluently, but enterprise workflows demand more than selecting the right tools: actions must strictly comply with…
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Evaluating Local Language Model Agents for Reproducible Data Engineering: An Empirical Software Engineering Study of Mobility Workflows — García-Carrasco et al. (2026)
Context: Large language model (LLM) agents are increasingly used as software and data-engineering assistants, yet evidence about locally deployable open-weight…
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Agentic Agile-V: From Vibe Coding to Verified Engineering in Software and Hardware Development — Koch (2026)
Agentic AI coding systems can inspect repositories, plan implementation steps, edit files, call tools, run tests, and submit pull requests. These capabilities…
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Living guidelines on the responsible use of generative AI in research — European Commission (2026)
A full audio edition of this report. Authors: European Commission, Directorate-General for Research and Innovation Literature type: Report Peer review: Not…
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Symbolic Separation: Grounding Deep Agents in Knowledge Graphs for Trustworthy Operational Data Analytics — Davletiyarov et al. (2026)
Generative AI promises natural language access to the massive numerical telemetry of data centers and Industry 4.0 installations, yet text-to-query and…
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Intelligent Agents For Enterprise Knowledge Management-Construction And Application Based On Large Language Models — Tian et al. (2026)
This Full Reading presents the paper's text as an audio edition. Abstract source: unavailable Authors: S. Tian, H. Li, Y. Chen Publication date: 2026 Read…
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From AI Adoption to AI Transformation: The AX-5R Framework for Socio-Technical Work System Redesign — Shin et al. (2026)
Generative artificial intelligence (AI) has diffused rapidly, yet adoption has not reliably progressed to AI transformation (AX). Firms grant tool access but…
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A Policy-Aligned Agentic RAG Framework for Risk-Aware Decision Support in Enterprise Customer Relationship Management — Ganesan (2026)
Enterprise customer relationship management (CRM) systems function as decision-support environments where AI-generated recommendations can directly affect…
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Argo-Bench: Evaluating Data Agents on Enterprise-Scale Workflows — Tomitsuka et al. (2026)
Real-world enterprise data science and analytics workflows require reasoning across dozens of tables, performing statistical analyses, and acting on the…
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Responsible artificial intelligence governance: A review and research framework — Papagiannidis et al. (2025)
The widespread and rapid diffusion of artificial intelligence (AI) into all types of organizational activities necessitates the ethical and responsible…
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Positioning public sector practitioners as ‘moral crumple zones’: Mechanisms in the early use of generative AI work support tools — Choroszewicz (2026)
Work support tools built on generative artificial intelligence (AI), like Microsoft 365 Copilot and other AI as- sistants, are increasingly the object of…
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Homo agenticus in the age of agentic AI: Agency loops, power displacement, and the circulation of responsibility — Leonardi (2025)
A full audio edition of this paper. Authors: Paul M. Leonardi Publication date: 2025 Read the paper Source license: Creative Commons Attribution 4.0…
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From Backlog Items to Security Guidance: Towards Continuous Security Compliance — Núñez et al. (2026)
Continuous software engineering in regulated domains requires engineering teams to address security throughout the development lifecycle. Yet making security…
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CredWise: A Controlled Agentic Decision-Intelligence Framework for Explainable and Auditable Credit-Risk Assessment — Tiwari (2026)
Credit-risk prediction is important in banking, but a prediction alone does not explain why an applicant is risky or how it should be combined with other…
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Agentic information systems — Holldack et al. (2026)
Abstract Recent advancements in artificial intelligence (AI) have catalyzed the emergence of agentic information systems (IS), which exhibit autonomous…
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Agentic AI: Autonomous Intelligence for Complex Goals—A Comprehensive Survey — Acharya et al. (2025)
Agentic AI, an emerging paradigm in artificial intelligence, refers to autonomous systems designed to pursue complex goals with minimal human intervention…
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Evaluation of Generative Artificial Intelligence Implementation Impacts in Social and Health Care Language Translation: Mixed Methods Case Study — Martikainen et al. (2025)
Abstract Background Generative artificial intelligence (GAI) is expected to enhance the productivity of the public social and health care sector while…
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To hasten slowly: The prudence of slow AI implementation in public relations — Christensen & Andersson (2025)
A full audio edition of this paper. Authors: E. Christensen, R. Andersson Publication date: 2025 Read the paper Source license: Creative Commons Attribution…
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Causal mapping of the risks of using generative AI in software development — Hein et al. (2026)
Context: Generative AI tools can enhance the productivity and effectiveness of software development. These tools are evolving rapidly, as are the associated…
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Knowledge-as-Skill: A Structural Design for Autonomous Knowledge-Base Use by LLM Agents — Wu (2026)
Retrieval-augmented generation (RAG) gives large language models (LLMs) access to external knowledge, but its conventional retrieve-concatenate-generate…
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The Work Behind Delegation: A Framework for Supervising AI Coding Agents — Park et al. (2026)
As AI coding agents carry out development tasks with greater autonomy, developers are shifting from direct implementation toward supervising delegated work…
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FlowCheck: Helping End-Users Specify and Verify Intent in Vibe-Coded Web Apps — Vir et al. (2026)
Vibe-coded applications often contain silent behavioral failures in which the interface appears functional even though user-visible information does not flow…
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CHORUS: Designing Human-AI Multi-Agent Collaboration for Professional Translators — (2026)
Despite the widespread use of automatic AI translation systems in daily language tasks, professional translation remains crucial in domain-specific and…
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Insecure by design? A human-centric security perspective on AI-assisted software development — Glas et al. (2026)
This Full Reading presents the paper's text as an audio edition. Abstract source: unavailable Authors: M. Glas, C. Nirschl, B. Lanyado, J. van Niekerk…