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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).
Episodes
- 1 More Paper
GenAI and employee innovativeness: How employees' sensing capabilities and the capabilities to use and evaluate GenAI shape their innovative work behavior — Held & Heubeck (2025)
Innovation is critical for organizational success, with employees’ innovative work behavior (IWB) forming a key microfoundation of firm-level innovation. While…
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Exploring Large Language Models in external audits: Implications and ethical considerations — Fotoh & Mugwira (2025)
This study explores the impact of Large Language Models (LLMs) on external audits and their associated ethical implications. A small-scale survey was conducted…
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AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges — Sapkota et al. (2026)
Information fusion, in the context of the Generative AI era, must distinguish AI Agents from Agentic AI. This review critically distinguishes between AI Agents…
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PEARL: An Adaptive and Explainable Hardware Trojan Detection Using Open Source and Enterprise Large Language Models — Kundu et al. (2025)
The Integrated Circuit (IC) supply chain risk allows attackers to implant hardware Trojans (HT) in various stages of chip production. To counter this…
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Unveiling the Generative AI boom: what hype metrics reveal for digital business and E-commerce — Mora-López et al. (2026)
Abstract The rapid emergence of Generative AI (GAI) in recent years, coupled with its potential to revolutionize a vast array of industries, functions, and…
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Leveraging RAG and LLMs for Access Control Policy Extraction From User Stories in Agile Software Development — Aboukadri et al. (2025)
Agile development has become increasingly popular among software development teams due to its capacity to deliver and update software rapidly while…
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Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda — Zuiderwijk et al. (2021)
A full audio edition of this paper. Authors: Anneke Zuiderwijk, Chen Yu-Che, Fadi Salem Publication date: 2021 Read the paper Source license: Creative Commons…
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Generative artificial intelligence (GenAI) revolution: A deep dive into GenAI adoption — Kumar et al. (2025)
This study examines key reasons (for and against) that influence business-to-business (B2B) managers’ intention to adopt generative artificial intelligence…
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Enhancing corporate innovation through generative AI: A case study on Human–AI collaboration — Pena et al. (2026)
Although Generative Artificial Intelligence (GenAI) is revolutionizing corporate innovation processes, little is known about how it fits into Design Thinking…
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Digital Responsibility: A Multilevel Framework for Responsible Digitalization — Trier et al. (2023)
A full audio edition of this paper. Authors: Matthias Trier, Dennis Kundisch, Daniel Beverungen, Oliver Müller, Guido Schryen, Milad Mirbabaie, Simon Trang…
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Integrating generative AI and machine learning classifiers for solving heterogenous MCGDM: a case of employee churn prediction — Abu-Faty et al. (2025)
A full audio edition of this paper. Authors: H.G. Abu-Faty, A. Kafafy, M.M. Hadhoud, O. Abdel-Raouf Publication date: 2025 Read the paper Source license…
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Uses of generative AI by non-clinician staff at an academic medical center — Black et al. (2026)
Abstract Large language model (LLM) chat tools have the potential to transform healthcare workflows by improving efficiency and reducing administrative…
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The Evolution of AI in Business: A Topic Model Analysis of Research Trends — Bohr (2025)
Artificial intelligence (AI) is rapidly transforming business practices, with large language models (LLMs) at the forefront of this change. While AI adoption…
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The efficiency-verification trade-off in large language model-assisted workplace risk assessment; [Tõhususe ja usaldusväärsuse tasakaal LLM-toega töökoha riskihindamisel] — Bosler et al. (2026)
Large language models (LLMs) are increasingly adopted in occupational health and safety (OHS) to accelerate workplace risk assessment, yet their integration…
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Agentic AI Framework for Autonomous Workforce Analytics and Decision Support in Enterprise HRIS Systems — Balerao (2026)
The fast evolution of artificial intelligence has introduced a new paradigm for enterprise human resource management, in which agentic AI systems can…
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Addressing trust requirements in the design of an open-source multi-agent LLM-based domain-specific chatbot — Axetorn et al. (2026)
Abstract Large Language Models (LLMs) have the potential to automate knowledge-intensive interactions in enterprise systems, yet their adoption is often…
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WhatsCode: Large-Scale GenAI Deployment for Developer Efficiency at WhatsApp — Mao et al. (2026)
The deployment of AI-assisted development tools in compliance- relevant, large-scale industrial environments represents significant gaps in academic…
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The Verified Query Repository: A Human-in-the-Loop Architectural Pattern for Eliminating Hallucination in Enterprise NLP Systems — Sureshbabu (2026)
A full audio edition of this paper. Authors: A.D. Sureshbabu Publication date: 2026 Read the paper The authors and publisher do not sponsor or endorse this…
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Probabilistic Requirement Modeling For Enterprise AI Workflow Orchestration: An Outcome-Centric Framework For Non-Deterministic Systems — Narasimhan (2026)
A full audio edition of this paper. Authors: V. Narasimhan Publication date: 2026 Read the paper The authors and publisher do not sponsor or endorse this…
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Governed Software Evolution: Embedded Engineering Agents and the Curation of User-Originated Variability in Enterprise Applications — Vijayan (2026)
A full audio edition of this paper. Authors: Praveen Vijayan Published in: Zenodo Publication date: 2026-08-31 Read the paper The authors and publisher do not…
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Governed Agentic Process Automation: A Floor-Safety Guarantee for Compliance-Critical LLM Routing — Pacella et al. (2026)
A full audio edition of this paper. Authors: Massimo Pacella, Gabriele Papadia, Vincenzo Giliberti Published in: Algorithms Publication date: 2026-07-27 Read…
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Generative AI for trustworthy systems - Towards a health check model — Bosch et al. (2026)
AbstractThe adoption of generative AI in software-intensive systems is pro- ceeding rapidly across diverse industrial contexts, but the analytical instru-…
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A Generative AI-Based Framework for Business Process Orchestration in Industrial Enterprises — Ilieva & Iliev (2026)
A full audio edition of this paper. Authors: G. Ilieva, Y. Iliev Publication date: 2026 Read the paper The authors and publisher do not sponsor or endorse this…
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Generative AI as a conditional job resource under job demands in academic knowledge work: directed content analysis using the job demands–resources framework — Çögenli (2026)
A full audio edition of this paper. Authors: M.Z. Çögenli Publication date: 2026 Read the paper The authors and publisher do not sponsor or endorse this…
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From Models to Metrics: A Governance Framework for Large Language Models in Enterprise AI and Analytics — Desai & Desai (2026)
A full audio edition of this paper. Authors: D. Desai, A. Desai Publication date: 2026 Read the paper The authors and publisher do not sponsor or endorse this…
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Expanding Innovation in Agriculture: Case Study on Adoptable Technologies Using GenAI Based on Traditional Knowledge Management — Contreras-Medina et al. (2025)
A full audio edition of this paper. Authors: D.I. Contreras-Medina, M.T. de la Garza Carranza, J. Sánchez-Gómez, V. Cuevas-Reyes Publication date: 2025 Read…
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AI-Assisted Value Investing: A Human-in-the-Loop Framework for Prompt-Guided Financial Analysis and Decision Support — Caridi et al. (2026)
A full audio edition of this paper. Authors: A. Caridi, M. Giovannini, L. Ricciardi Celsi Publication date: 2026 Read the paper The authors and publisher do…
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Toward clinical integration of generative AI in mental health: personalization, multimodality and inter-entity experience — Frisone et al. (2026)
The integration of conversational agents (CAs) into mental health care presents a promising yet complex frontier. These systems have demonstrated potential in…
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Smart Routing for Sustainable Supply Chain Networks: An AI and Knowledge Graph Driven Approach — Felder et al. (2025)
A full audio edition of this paper. Authors: M. Felder, M. De Marchi, P. Dallasega, E. Rauch Publication date: 2025 Read the paper The authors and publisher do…
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QuackIR: Retrieval in DuckDB and Other Relational Database Management Systems — Ge et al. (2025)
Enterprises today are increasingly compelled to adopt dedicated vector databases for retrieval- augmented generation (RAG) in applications based on large…
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Knowledge sharing in manufacturing using LLM-powered tools: user study and model benchmarking — Freire et al. (2024)
A full audio edition of this paper. Authors: Samuel Kernan Freire, Wang Chaofan, Mina Foosherian, Stefan Wellsandt, Santiago Ruiz-Arenas, Evangelos Niforatos…
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Knowledge Management in Manufacturing: Current Practices, Barriers, and Automation Potential for LLM-Supported Systems † — Finkel & Wurster (2026)
A full audio edition of this paper. Authors: P. Finkel, P. Wurster Publication date: 2026 Read the paper The authors and publisher do not sponsor or endorse…
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HCEA: A Multi-Agent Framework for Sustainable Human-Centered Entrepreneurship Based on a Large Language Model — Gao et al. (2026)
A full audio edition of this paper. Authors: Y. Gao, Y. Piao, D. Xuan Publication date: 2026 Read the paper The authors and publisher do not sponsor or endorse…
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GenAI, Leadership, and Entrepreneurial Orientation: The Mediating Role of Knowledge Management Capability — Eraliyeva et al. (2026)
A full audio edition of this paper. Authors: A. Eraliyeva, B. Murzabekova, R. Kuralbayeva, G. Lukhmanova, R. Amantayeva Publication date: 2026 Read the paper…
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ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models — Elangovan et al. (2024)
In this position paper, we argue that human evaluation of generative large language models (LLMs) should be a multidisciplinary undertak- ing that draws upon…
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Drivers and Barriers to AI Adoption in Retail Enterprises: A Systematic Literature Review and Conceptual Framework — Cui & Bulis (2025)
The emergence of artificial intelligence (AI) technology has profoundly changed the value chain of the retail industry. However, there is a significant gap…
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Trust, validation, and accountability: Implementing uses of generative artificial intelligence into Health Technology Assessment practice — Fleurence & Chhatwal (2026)
A full audio edition of this paper. Authors: R. Fleurence, J. Chhatwal Publication date: 2026 Read the paper Source license: Creative Commons Attribution 4.0…
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Personalism in Generative AI Deployment: Deciding Ethically When Human Creative Expression is at Stake — Fioravante & Vaccaro (2025)
Abstract Generative Artificial Intelligence (GAI) has the potential to automate, integrate or augment human creativity. Current literature reveals that…
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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)
Abstract Background Evidence on prehospital regional anesthesia (RA) is limited, with only a few trials comparing peripheral nerve blocks (PNBs) to standard…
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Governance of Generative Artificial Intelligence: A Contemporary and Institutional Perspective — Hasan (2025)
The field of knowledge management and knowledge management systems is evolving and dynamic. In the era of developed information technology systems, the…
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Fostering Organizational Collective Intelligence From Human-Generative AI Interaction — Hino et al. (2026)
Recent advancements in generative artificial intelligence have enabled its use for problem-solving across various fields. However, its effectiveness heavily…
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An Approach to Automated Instruction Generation with Grounding Using LLMs and RAG — Holvoet et al. (2025)
A full audio edition of this paper. Authors: L. Holvoet, M. van Bekkum, A. de Vries Publication date: 2025 Read the paper Source license: Creative Commons…
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Permission-Aware RAG: Identity and Access Management (IAM)-Based Access Filtering in Multi-Resource Environments — Jeong & Lee (2025)
Retrieval-Augmented Generation (RAG) enhances large language models (LLMs) by integrating external knowledge sources, which significantly improves response…
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Ethical challenges of generative artificial intelligence in global social communications: International standards and practices; [Етичні виклики генеративного штучного інтелекту в глобальних соціальних комунікаціях: міжнародні стандарти та практики] — Ketners & Petersone (2026)
A full audio edition of this paper. Authors: K. Ketners, M. Petersone Publication date: 2026 Read the paper Source license: Creative Commons Attribution 4.0…
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DKC-LLM: Dynamic Knowledge Caching for Large Language Models in Business Applications — Khaliq & Adebayo (2026)
Large Language Models (LLMs) often face severe latency and computational cost constraints which hinder their adoption in real-time enterprise applications…
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The Intellectual Structure and Thematic Evolution of Trust in AI Research: A BERTopic Analysis — Kim et al. (2026)
As AI is increasingly used across social and organizational domains, trust in AI has emerged as an important research topic. This study analyzes 605 articles…
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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)
This Full Reading presents the paper's text as an audio edition. Abstract source: unavailable Authors: L. Li Publication date: 2025 Read the paper Source…
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What Can a Business School Do When Generative Artificial Intelligence Replaces Entry-Level Graduate Jobs? — Liu et al. (2026)
Purpose: To suggest how business schools can respond when generative AI automates routine, entry-level tasks and erodes early-career opportunities. The paper…
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Exploring the Challenges of Generative AI on Public Sector Communication in Europe — Lovari & De Rosa (2025)
This study investigates how emerging digital technologies, particularly generative AI tools, are transforming public sector communication in Europe…
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Developing and evaluating a design method for positive artificial intelligence — der Maden et al. (2024)
Abstract In an era where artificial intelligence (AI) permeates every facet of our lives, the imperative to steer AI development toward enhancing human…
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Artificial Intelligence, Publication Ethics, and the Future of Scholarly Publishing: An Editor’s Perspective — Makuloluwa (2026)
Artificial intelligence (AI), particularly large language models (LLMs), is rapidly transforming scholarly publishing by providing new tools for manuscript…
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Artificial Intelligence in Organizations: A Systematic Review of Operationalizing Generative Artificial Intelligence Capabilities for Organizational Performance — MacHkour & Abriane (2026)
This Full Reading presents the paper's text as an audio edition. Abstract source: unavailable Authors: B. MacHkour, A. Abriane Publication date: 2026 Read…
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Bridging Causal Reasoning and Fuzzy Calibration for Trustworthy AI Risk Assessment — McConomy et al. (2027)
A full audio edition of this paper. Authors: G. McConomy, J. Liu, D. Glass, R. Bond, H. Toner Publication date: 2027 Read the paper Source license: Creative…
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A Network Approach to Public Trust in Generative AI — McIntyre et al. (2025)
Abstract As generative AI becomes more deeply integrated into society, building public trust in this technology has emerged as a key challenge for…
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Real-Time Conversational Analysis Using LLMs for B2B E-Commerce Customer Value Management — Nugroho et al. (2026)
The integration of artificial intelligence into business communications has created new opportunities for real-time analysis of customer interactions. This…
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Integrating AI and Large Language Models for Automated Data Quality Enhancement in Data Integration Systems — Ponon & Basani (2026)
This article introduces an AI and LLM-based framework to automate data quality improvement in complex data systems. Traditional methods struggle with semantic…
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From Guideline to Gameplay: A Pilot Study on AI Simulation in Medical and Physiotherapy Training — Paukkunen et al. (2026)
A full audio edition of this paper. Authors: M. Paukkunen, E. Rintamäki, K. Sinivuori, E. Heikkala, J. Määttä, J. Karppinen Publication date: 2026 Read the…
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Code Comprehension Gaps in AI-Assisted Development: A Conceptual Framework for Knowledge Erosion Patterns — Patel et al. (2026)
The increasing adoption of AI-powered code generation tools has introduced a critical challenge in software engineering, the potential erosion of developer…
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“Generative AI literacy across education and business: competencies, obstacles, and benefits—a systematic literature review” — Reicho et al. (2026)
Abstract This systematic literature review analyses AI literacy, focusing on the required competencies for, the obstacles arising from, and the benefits of…
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Trust and overreliance on ChatGPT and its implications on critical thinking: an exploration in health policy — Rosas-Jiménez et al. (2026)
Abstract International organizations have provided guidelines for the use of AI, encouraging its responsible development and promoting human-centered…