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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
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)
The last 3 years have witnessed an increasing awareness and consensus on using artificial intelligence (AI) to enhance decision-making in the construction…
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Applying AI Ethics Tools in Mining Industry Organizations — Masárová & Kordoš (2025)
A full audio edition of this paper. Authors: T. Masárová, M. Kordoš Publication date: 2025 Read the paper Source license: Creative Commons Attribution 4.0…
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From Effort Reduction to Effort Management: An Expectancy Theory Perspective on Professionals’ Work Practices with Generative AI — Memmert et al. (2025)
A full audio edition of this paper. Authors: L. Memmert, D. Soroko, E. Bittner Publication date: 2025 Read the paper Source license: Creative Commons…
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A Neurosymbolic Multi-Agent System for Explainable and Traceable Decision-Making in Organizational Contexts — Mertzani et al. (2026)
This Full Reading presents the paper's text as an audio edition. Abstract source: unavailable Authors: A. Mertzani, P.G. Giannopoulos, V. Malamas, P.T…
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The promise of productivity or a source of anxiety? Employees’ perspectives on GenAI and workplace outcomes — Mohamud et al. (2026)
The rapid advancement of generative artificial intelligence (GenAI) has accelerated its adoption in workplaces worldwide. While prior research highlights its…
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In-Mig: Geographically Dispersed Agentic LLMs for Privacy-Preserving Artificial Intelligence — Nauman (2026)
: Large Language Models (LLMs) are increasingly utilized for semantic understanding and reasoning, yet their use in sensitive settings is limited by privacy…
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Between Policy and Practice: GenAI Adoption in Agile Software Development Teams — Neumann et al. (2026)
Abstract Context: The rapid emergence of generative AI (GenAI) tools has begun to reshape software engineering practice. Yet, their adoption within agile…
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Limitations of RPA Implementations: Exploring the Barriers of Organizational Environments — Nunes et al. (2026)
This Full Reading presents the paper's text as an audio edition. Abstract source: unavailable Authors: I.D. Nunes, E. Sosa-Sanchez, L.H. Thom Publication…
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Design principles for artificial intelligence-augmented decision making: An action design research study — Pathirannehelage et al. (2024)
ARTICLE HISTORY Artificial intelligence (AI) applications have proliferated, garnering significant interest among information systems (IS) scholars. AI-powered…
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Adoption of Large Language Models in Scrum Management: Insights from Brazilian Practitioners — Perkusich et al. (2026)
Abstract Scrum is widely adopted in software project management due to its adaptability and collaborative nature. The recent emergence of Large Language Models…
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Large Language Models in Clinical Trial Recruitment: Sociotechnical and Economic Framework Development Study — Qian (2026)
Abstract Background Large language models (LLMs) have shown substantial promise in patient-trial matching, but most published studies still evaluate the…
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Towards Designing for Resilience: Community-Centered Deployment of an AI Business Planning Tool in a Pittsburgh Small Business Center — Lauro et al. (2026)
Entrepreneurs in resource-constrained communities often lack time and support to translate ideas into actionable business plans. While generative AI promises…
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Physical therapists’ perspectives on a large language model-powered knowledge translation tool for guideline adherence: A qualitative focus group study — Rosen et al. (2026)
ARTICLE HISTORY Background: Clinical practice guidelines support healthcare professionals in making evidence-based decisions, yet guideline adherence among…
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Organization Matters: A Qualitative Study of Organizational Dynamics in Red Teaming Practices For Generative AI — Ren et al. (2025)
The rapid integration of generative artificial intelligence (GenAI) across diverse fields underscores the critical need for red teaming efforts to proactively…
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Integrating PICO principles into generative artificial intelligence prompt engineering to enhance information retrieval for medical librarians — Robinson et al. (2025)
Prompt engineering, an emergent discipline at the intersection of Generative Artificial Intelligence (GAI), library science, and user experience design…
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Challenges in Value-Sensitive AI Design: Insights from AI Practitioner Interviews — Sadek & Mougenot (2024)
A full audio edition of this paper. Authors: Malak Sadek, Celine Mougenot Publication date: 2024 Read the paper Source license: Creative Commons Attribution…
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Achieving green competitive advantage through generative AI: the mediating roles of organisational creativity and green innovation ambidexterity in manufacturing — Ruangkanjanases et al. (2025)
This study examines the implementation pathway of Generative AI Capabilities (GAIC) in manufacturing organisations, focusing on the roles of organisational…
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Understanding Human-Centred AI: a review of its defining elements and a research agenda — Schmager et al. (2025)
The rapid advancements in artificial intelligence (AI) have ushered in a new era of innovative applications, while also prompting concerns regarding risks and…
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EVALUATING THE IMPACT OF CHATGPT IMPLEMENTATION ON HR PERFORMANCE SKILLS: A CASE STUDY OF ACADEMIC INSTITUTIONS IN OMAN — Shannaq & Alabri (2025)
Academic institutions increasingly integrate AI-driven tools like ChatGPT to enhance HR performance. However, the effectiveness of such adoption depends on…
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AI at the Front Lines of Platform Governance: Using LLMs to Support Illegal Content Reporting under the Digital Services Act — Sekwenz et al. (2026)
Illegal Content Reporting under the Digital Services Act MARIE-THERESE SEKWENZ∗, Delft University of Technology, Delft, The Netherlands SHREYAN BISWAS∗, Delft…
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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)
Bradley D. Shy, MD, Department of Emergency Medicine, University of Colorado– School of Medicine, 777 Bannock St, Denver, CO 80204, USA. Email…
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From Satisfaction to Strategy: A Structural Model for Implementing Generative AI Chatbots in Campus Bureaucracy Toward Sustainable Service Innovation — Sofiyah et al. (2025)
The growing demand for digital transformation in higher education has highlighted the limitations of conventional bureaucratic systems. This study aims to…
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The impact of ChatGPT integration and customer relationship management on MSME sales performance with operational efficiency as a mediating variable — Sutrisno et al. (2025)
In an increasingly advanced digital era, micro, small, and medium enterprises (MSMEs) face new challenges and opportunities in enhancing their sales…
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A Neuro-Symbolic Framework for Legal Accountability in Public-Sector AI — Sunny & Sivan-Sevilla (2026)
Automated decision-making systems are increasingly used by public agencies to govern access to welfare. Accountability in these settings is not achieved…
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Unveiling the Impact of AI Technological Anxiety on the Marketers' Intention to Adopt Generative AI — Tao et al. (2025)
With the rapid development of Generative AI technology, businesses need their marketers to adopt it to assist in completing their job tasks. However, marketers…
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Project portfolio management in the age of artificial intelligence: A review of challenges, key features, and future research directions — Taheripour & Sadjadi (2026)
The rapid advancement of artificial intelligence (AI) has revolutionized project portfolio management (PPM), as it has in many other areas, by introducing…
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Unlocking microtourism small and medium-sized enterprises potential: Human–AI synergy and open-innovation pathways to sustainability — Thonglor et al. (2026)
This study examines how generative artificial intelligence (GAI) and open-innovation orientation (OIO) influence sustainability and innovation performance in…
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Semantic-Driven Internet of Behaviours for Enhancing Supply Chain ESG Capabilities Through Generative AI — Tsang et al. (2025)
Pursuing sustainable development goals requires enterprises to enhance their environmental, social, and governance (ESG) capabilities. In logistics and supply…
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Governance fix? Power and politics in controversies about governing generative AI — Ulnicane (2025)
Abstract The launch of ChatGPT in late 2022 led to major controversies about the governance of generative artificial intelligence (AI). This article examines…
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Results-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild — Der Maden et al. (2026)
How do product teams evaluate LLM-powered products? As or- ganizations integrate large language models (LLMs) into digital products, their unpredictable nature…
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AI chatbots for promoting healthy habits: Legal, ethical, and societal considerations — van Kolfschooten et al. (2025)
Machine learning-based artificial intelligence (AI) chatbots are increasingly used to promote health and encourage individuals to adopt healthier behaviors…
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Prioritising generative AI adoption challenges in construction projects: a Fuzzy Analytic Hierarchy Process approach — Fernández & Shen (2026)
The construction industry has experienced slow productivity growth over the past decade, and generative artificial intelligence (AI) has emerged as a potential…
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LLM-Driven Business Intelligence for Retail Digital Transformation: A Decision Support System Case Study — Wang & Zhang (2026)
The rapid digital transformation of the retail industry has generated increasing demand for intelligent business intelligence systems that can translate…
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Generative AI risks: are European communication professionals ready? A study on individual and organizational READINESS — Wang et al. (2026)
Purpose Generative artificial intelligence (GenAI) technologies are increasingly being used by both individuals and organizations. However, there is still a…
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From Documents to Decisions: Enterprise-Grade LLM Systems for Zero-Hallucination, Attributed Generation, and Regulatory Alignment — Wang et al. (2026)
: As large language models (LLMs) become increasingly integrated into enterprise decision-making processes, structural pressures such as version drift…
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From understanding resistance to fostering acceptance: how mindsets impact GenAI adoption — Wieland et al. (2026)
Individual resistance to adopting generative artificial intelligence (GenAI) jeopardises its successful implementation in organisations. Across two studies…
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The impact of generative AI on marketing innovation and business growth challenges and opportunities in the digital economy — Wishah et al. (2026)
The meteoric rise of generative artificial intelligence (GenAI) has transformed marketing practices and business models for conducting businesses within the…
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Can GenAI Move from Individual Use to Collaborative Work? Experiences, Challenges, and Opportunities of Coordinating GenAI into Collaborative Newswork — Xiao et al. (2026)
Generative AI (GenAI) is reshaping work, but adoption remains largely individual and experimental rather than coordinated into collaborative work. Whether…
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Enhancing supply chain visibility with generative AI: an exploratory case study on relationship prediction in knowledge graphs — Zheng & Brintrup (2025)
ARTICLE HISTORY A key stumbling block in effective supply chain risk management for companies and policymakers is a lack of visibility on interdependent supply…
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Recommendations for efficient and responsible LLM adoption within industrial software development — Ronanki et al. (2026)
This Full Reading presents the paper's text as an audio edition. Abstract source: unavailable Authors: Krishna Ronanki, Beatriz Cabrero-Daniel, Tomas…
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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)
Abstract Generative artificial intelligence (GenAI) is a rapidly evolving field that enables novel and valuable information systems. However, developing…
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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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Episodic oversight in generative AI workflows: A nine-step protocol for preserving human agency (OP-9) — Taş et al. (2026)
Abstract Generative AI is embedded in everyday knowledge work, but we know little about how workers preserve human agency when large language models (LLM)…
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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)
This study investigated the utility of Large Language Models (LLMs) in supporting human experts in the maritime industry by generating draft replies to…
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Results-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild — der Maden et al. (2026)
How do product teams evaluate LLM-powered products? As or- ganizations integrate large language models (LLMs) into digital products, their unpredictable nature…
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Design principles for text-to-image generative artificial intelligence creativity support tools for visual design — Herath et al. (2026)
Generative AI (GenAI) presents significant opportunities, particularly for creative work like visual design. GenAI can effectively address creative challenges…
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A Framework for Evaluating GenAI Adoption and Use in Software Engineering — Yu et al. (2026)
Generative Artificial Intelligence (GenAI) is increas-ingly integrated into software products to enable new features and user capabilities, from early…
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AI for the underdogs: Navigating risk and growth in high-tech micro-firms through generative artificial intelligence — Shahzad et al. (2026)
This Full Reading presents the paper's text as an audio edition. Abstract source: unavailable Authors: Faisal Shahzad, Mohammad Tayeenul Hoque, Iqra Sadaf…
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Position: Vibe Coding Needs Vibe Reasoning: Improving Vibe Coding with Formal Verification — Mitchell & Shaaban (2025)
“Vibe coding” — the practice of developing software through iteratively conversing with a large language model (LLM) — has exploded in popularity within the…
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AI governance: a systematic literature review — Batool et al. (2025)
Abstract As artificial intelligence (AI) transforms a wide range of sectors and drives innovation, it also introduces different types of risks that should be…
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Enacting Responsible AI: A Configurational Analysis of AI Principles in Practice — Akbarighatar et al. (2026)
Abstract Responsible AI (RAI) entails developing, using, and governing AI in a human-centred way to ensure its trustworthiness and alignment with human values…
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Generative AI Adoption in B2B Firms: Ethical Governance, Innovation Capabilities, and Long-Term Competitive Performance — Alves et al. (2026)
The rapid diffusion of generative artificial intelligence (GenAI) is reshaping organisational systems and digital transformation strategies, yet it remains…
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Guardrails versus Gatekeepers: Understanding Product Managers' Ethical Decision-Making in Generative AI — Smith et al. (2026)
What is the role of product managers (PMs) in the responsible use of generative AI (genAI) in products and everyday work— and what enables or constrains their…
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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)
We introduce and study the concept of a “jagged technology frontier” to describe the uneven impact of artificial intelligence (AI) capabilities, where AI…
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Piloting a maturity model for responsible artificial intelligence: A portuguese case study — Ferreira et al. (2025)
Recently, frameworks and guidelines aiming to assist trustworthiness in organizations and assess ethical issues related to the development and use of…
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Ready or Not, AI Comes— An Interview Study of Organizational AI Readiness Factors — Jöhnk et al. (2021)
Abstract Artificial intelligence (AI) offers organizations much potential. Considering the manifold application areas, AI’s inherent complexity, and new…
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The Values of Value in AI Adoption: Rethinking Efficiency in UX Designers' Workplaces — Cha et al. (2026)
Although organizations increasingly position AI adoption as a path- way to competitiveness and innovation, organizations’ perspectives on productivity and…
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When humans stop thinking: tackling the silent threat of AI complacency in service operations — Le & Kunz (2026)
Purpose This research investigates the phenomenon of AI complacency – The employee's tendency to intentionally neglect validating AI-generated output even…
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The unequal adoption of ChatGPT exacerbates existing inequalities among workers — Humlum & Vestergaard (2025)
We study the adoption of ChatGPT, the icon of Generative AI, using a large-scale survey linked to comprehensive register data in Denmark. Surveying 18,000…
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Still just personal assistants? – A multiple case study of generative AI adoption in software organizations — Kemell et al. (2025)
Context: Generative AI (GenAI) is argued to transform software engineering (SE) in various ways, and GenAI tools show promise for various SE tasks. Software…