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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
Rethinking organizational decision-making: The emerging roles and tasks of generative artificial intelligence — Schulte & Kanbach (2026)
Abstract The rapid diffusion of generative artificial intelligence (GenAI) has triggered a transformative shift in how organizations approach decision-making…
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CogDeBias: An LLM-Based Multilingual Framework for Cognitive Bias Detection and Mitigation in Corporate Decision-Making Texts — Shen et al. (2026)
This Full Reading presents the paper's text as an audio edition. Abstract source: unavailable Authors: Y. Shen, W. Yang, Y. Shen Publication date: 2026…
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A model for incorporating AI into ERP software — Sarferaz (2026)
Abstract Enterprise resource planning (ERP) systems form the digital backbone of modern organizations by integrating business processes and data across…
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Who Is Responsible When AI Gets Cancer Information Wrong? Implications for Patient Education — Suksatan (2026)
Abstract Generative artificial intelligence (AI) tools are increasingly being used by patients seeking cancer-related information, creating new opportunities…
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A Silent Partner: The Shadow Presence of Generative Artificial Intelligence in Public Administrations — Tangi et al. (2026)
A full audio edition of this paper. Authors: L. Tangi, A.P. Rodriguez Müller, M. Combetto Publication date: 2026 Read the paper Source license: Creative…
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Activity-Based Costing Framework for Total Cost of Ownership Analysis of LLM Services — Tombor & Abonyi (2026)
The proliferation of Large Language Models (LLMs) requires robust financial planning, yet traditional software cost models cannot capture the unique economics…
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A framework for human evaluation of large language models in healthcare derived from literature review — Chow et al. (2024)
A full audio edition of this paper. Authors: Tam Thomas Yu Chow, Sonish Sivarajkumar, Sumit Kapoor, Alisa V Stolyar, Katelyn Polanska, Karleigh R McCarthy…
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When combinations of humans and AI are useful: A systematic review and meta-analysis — Vaccaro et al. (2024)
Abstract Inspired by the increasing use of artificial intelligence (AI) to augment humans, researchers have studied human–AI systems involving different tasks…
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The ethics of artificial intelligence systems in healthcare and medicine: from a local to a global perspective, and back — Vandemeulebroucke (2025)
Abstract Artificial intelligence systems (ai-systems) (e.g. machine learning, generative artificial intelligence), in healthcare and medicine, have been…
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Improving LLM Outputs Against Jailbreak Attacks With Expert Model Integration — Tsmindashvili et al. (2025)
This Full Reading presents the paper's text as an audio edition. Abstract source: unavailable Authors: T. Tsmindashvili, A. Kolkhidashvili, D…
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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)
Abstract The use of Artificial Intelligence (AI) in Health Technology Assessment (HTA) activities presents an opportunity to enhance the efficiency, accuracy…
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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)
Generative artificial intelligence (GAI) has emerged as a disruptive technology with the potential to transform administrative processes in organisations…
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Would you rather work with ChatGPT or a human coworker? Exploring the impact of generative AI on job satisfaction — Zahs & Schmodde (2026)
This Full Reading presents the paper's text as an audio edition. Abstract source: unavailable Authors: D. Zahs, L. Schmodde Publication date: 2026 Read…
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Benchmarking large language models for supply chain risk identification: an extended evaluation within the LARD-SC framework — Zhao et al. (2025)
Abstract Operational resilience in modern global supply chains depends on timely and accurate identification of emerging risks. While daily news has become a…
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Optimizing employee roles in the era of generative AI: a multi-criteria decision-making analysis of co-creation dynamics — Agarwal (2025)
Artificial Intelligence (AI) has the ability to transform the way organizations operate, but imposes a unique challenge for them. Adoption of AI might reshape…
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Factors influencing generative artificial intelligence adoption in Vietnam’s banking sector: an empirical study — Youssef et al. (2025)
Abstract This study aims to identify the key factors influencing the adoption of generative AI (GenAI) by Vietnamese banks and highlight the challenges and…
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DeepSeek vs. ChatGPT: A Comparative Evaluation of AI Tools in Composition, Business Writing, and Communication Tasks — Alafnan (2025)
This study presents a comparative evaluation of DeepSeek and ChatGPT, two AI-powered text generation models, in composition, business writing, and…
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Continuous Business Process Improvement Driven by Large Language Models — Araujo et al. (2026)
Some of the main challenges faced by organizations when applying Continuous Business Process Improvement are data fragmentation, limited explainability, weak…
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Conversational Enterprise Management Through Agentic AI: A Five-Pillar Framework for LLM-Driven ERP Systems — Assidiqi et al. (2026)
Traditional Enterprise Resource Planning systems impose complex menu-driven workflows requiring extensive training, limiting accessibility for non-technical…
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SECURITY IN GENERATIVE AI SYSTEMS: A COMPREHENSIVE LITERATURE REVIEW — Basheer & Darney (2026)
Gen AI systems such as LLM’s, code assistants, image generators and personal assistants are growingly integrated with productivity and critical business…
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Beyond the GenAI hype: a framework for Generative AI in business — Bauch et al. (2026)
Abstract The use of Artificial Intelligence (AI), and more recently the rise of Generative AI (GenAI), is fundamentally transforming businesses. This study…
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Advancing 21st-Century Professional Competencies with Learning Analytics in the Age of Generative AI — Barthakur et al. (2026)
The rise of generative artificial intelligence (GenAI) and accelerated globalization have necessitated a fundamental recalibration of higher education to…
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Leisure futures: a hybrid approach integrating generative AI and design futures — Bevolo & Draeger (2025)
This article aims to establish a foundation for the vocational and applied study of the possible, probable and preferable futures of the leisure industries. It…
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Data Governance Meets Generative Artificial Intelligence: Towards A Unified Organizational Framework — Bernardo et al. (2026)
As technology continues to evolve, organizations face growing and complex challenges and opportunities that affect their ability to govern, manage and harness…
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Generative AI as a driver of organizational creativity: Evidence from the absorptive capacity perspective — Boulitama et al. (2026)
Research background: Generative AI (GenAI) is increasingly embedded in organizational routines for searching information, developing ideas, and solving…
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From Principle to Practice: Value Alignment in AI Ethics and Governance — Cao (2025)
Abstract As China rapidly advances in AI innovation and development, especially in frontier AI, its regulatory and ethical frameworks are under increasing…
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Towards Understanding Professional AI Assistant Use: Human-in-the-Loop Topic Modeling of Multi-turn Conversations — Chen et al. (2026)
Understanding what people use AI assistants for in the workplace is essential for assessing their impact and informing future design. We present a novel…
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The promise and peril of generative AI for organizational selection and socialization — Chu & Srivastava (2026)
Abstract Organizational survival and success depend on having members who have a shared understanding about the enterprise’s purpose and strategy…
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Integrating ChatGPT to support children and adolescents with diabetes mellitus in South African healthcare: Perspectives of healthcare professionals and academics — Chuma & Sibiya (2026)
Background: The increasing prevalence of diabetes mellitus among children and adolescents in South Africa presents a major public health challenge, compounded…
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Redefining the Programmer: Human-AI Collaboration, LLMs, and Security in Modern Software Engineering — La Cruz et al. (2025)
: The rapid integration of artificial intelligence (AI) into software development, driven by large language models (LLMs), is reshaping the role of programmers…
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Integrating Generative AI in Business Intelligence: A Practical Framework for Enhancing Augmented Analytics — Desai & Desai (2025)
Business Intelligence (BI) workflows benefit from the improved access to insights that Generative Artificial Intelligence (GenAI) can bring, allowing for…
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Generative AI-enabled intelligent auditing: an organizational adaptation mechanism study based on dynamic capability theory — Deng et al. (2025)
This study investigates how audit organizations leverage generative artificial intelligence technologies to enhance auditing capabilities through…
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From Gains to Strains: Modeling Developer Burnout with GenAI Adoption — Feng et al. (2026)
Generative AI (GenAI) is rapidly reshaping software development workflows. While prior studies emphasize productivity gains, the adoption of GenAI also…
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Evolving Generative AI: Entangling the Accountability Relationship — Elliott et al. (2025)
A full audio edition of this paper. Authors: M.T.J. Elliott, P. Deepak, M. MacCarthaigh Publication date: 2025 Read the paper Source license: Creative Commons…
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Adoption of Generative Artificial Intelligence in the German Software Engineering Industry: An Empirical Study — Felder et al. (2026)
Generative artificial intelligence (GenAI) tools have seen rapid adoption among software developers. While adoption rates in the industry are rising, the…
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Assessing corporate sustainability with large language models: evidence from Europe — Forster et al. (2026)
Abstract Companies play a crucial role in achieving global sustainability goals, yet evidence on their progress across environmental, social, and governance…
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Exploring artificial intelligence adoption among Italian firms: the AI readiness level — Costa et al. (2026)
This study presents the first comprehensive analysis of artificial intelligence (AI) adoption among Italian firms, with a particular focus on the emerging…
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Artificial Intelligence agents and autonomous decision-making in business: a review — Ghane et al. (2026)
Artificial intelligence (AI) agents capable of autonomous decision-making are increasingly transforming business processes and managerial decision structures…
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Guardrails for Human-AI Ecologies: Norm-Based Coordination and Design for Predictability — Grisold et al. (2025)
A full audio edition of this paper. Authors: Thomas Grisold, Nicholas Berente, Stefan Seidel Publication date: 2025 Read the paper Source license: Creative…
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Perceptions and Readiness for Generative Artificial Intelligence Implementation Among Oncology Nurses: A Qualitative Study in a Specialized Cancer Hospital — Han et al. (2026)
This Full Reading presents the paper's text as an audio edition. Abstract source: unavailable Authors: J. Han, K.H. Ryu, M. Kim, K. Shin Publication date…
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Emergence of Agentic AI: A Review on Evolution, Background, Working Principles, Applications, Adoption Factors, and Future Research Directions — Haque et al. (2026)
: Agentic AI is gaining new insights and advancements in the field of Artificial Intelligence, fostering significant potential to enable rapid transformation…
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Distrust and disillusionment toward generative artificial intelligence: Psychodramatic exploration of employee trust in organizational technology acceptance — Hartyándi (2025)
Abstract Millions have adopted tools like ChatGPT in recent years, yet indifference and resistance among employees remain. This qualitative study employs…
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Generative artificial intelligence in creative contexts: a systematic review and future research agenda — Heigl (2026)
Abstract Generative artificial intelligence (GenAI) has recently attracted attention from literature and organisations, especially due to advances in machine…
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From Generative AI Adoption to Sustainable Performance Operations Capability Mediation and Environmental Dynamism — He & Yang (2025)
Enterprises are rapidly scaling generative artificial intelligence, yet evidence is mixed on whether adoption translates into measurable sustainability gains…
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When Your Boss Is an AI Bot: Exploring Opportunities and Risks of Manager Clone Agents in the Future Workplace — Hu et al. (2026)
As Generative AI (GenAI) becomes increasingly embedded in the workplace, managers are beginning to create Manager Clone Agents—AI-powered digital surrogates…
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Generative artificial intelligence and organizational knowledge management: four alternative configurations — Hussinki et al. (2026)
This study examines the transformative potential of generative artificial intelligence (GAI) on the knowledge management (KM) systems and capabilities in…
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Deployment of generative artificial intelligence to enhance organisational resilience: empirical evidence from the logistics industry — Hou et al. (2026)
Grounded in dynamic capability theory, this study investigates how generative artificial intelligence (GenAI) adoption enhances organizational resilience…
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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)
Generative Artificial Intelligence (GenAI) is reshaping business customer experiences. However, the benefits of adopting GenAI are competing with the inherent…
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Large Language Model Company Policies and Policy Implications in Software Organizations — Khojah et al. (2026)
A full audio edition of this paper. Authors: R. Khojah, M. Mohamad, L. Erlenhov, F.G. de Oliveira Neto, P. Leitner Publication date: 2026 Read the paper Source…
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Understanding Generative AI Usage Behavior in the Workplace: Focusing on the Moderating Role of Subscription to Premium Version — Kim & Kim (2026)
As generative AI becomes more integrated into organizational workflow, comprehending the mechanisms that promote its continued utilization by employees has…
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From doing to being: Generative AI, workplace affordances, and professional identity — Lavercombe (2026)
A full audio edition of this paper. Authors: M. Lavercombe Publication date: 2026 Read the paper Source license: Creative Commons Attribution 4.0 International…
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Trust-Aware Orchestration Architecture for LLM-Assisted Workflows in Multi-Tenant Enterprise Systems — Leburu (2026)
Large language models (LLMs) now call tools and APIs in enterprise systems, creating concrete risks: hallucinated parameters, cross-tenant data leakage, and…
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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)
The green steel transition requires corporates to operate closed-loop supply chains (CLSCs) that involve operational decisions under heterogeneous data…
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Artificial Intelligence in SMEs: Enhancing Business Functions Through Technologies and Applications — Le Dinh et al. (2025)
Artificial intelligence (AI) has significant potential to transform small- and medium-sized enterprises (SMEs), yet its adoption is often hindered by…
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A Workflow-Oriented Architecture Integrating Large Language Models for Automated Multi-Platform Content Management — Le & Nguyen (2026)
The rapid growth of social media platforms has significantly increased the complexity of managing digital content across multiple channels. Organizations and…
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Enhancing Power Enterprise Inspection and Supervision: A LoRA-Based Lightweight LLM Framework Integrating Retrieval-Augmented Generation and Prompt Engineering — Liu et al. (2026)
: Power enterprise inspection and supervision require greater intelligence, efficiency, and standardization; however, existing approaches are limited by…
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Large Language Models to Analyze Business Intelligence User Narratives — Lotfipoor et al. (2026)
This Full Reading presents the paper's text as an audio edition. Abstract source: unavailable Authors: A. Lotfipoor, M. Fakhimi, A. Hagen-Zanker, D…
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Exploring the Relationship Between Human-Centric AI and firm Idiosyncratic Risks — Liu et al. (2026)
Abstract Despite the extensive discussions of human-centric AI (HCAI) in Industry 5.0, its effects on firms’ idiosyncratic risks (IR) remains underexplored…
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Mapping generative AI research in tourism and hospitality — Malekpour et al. (2026)
Generative AI is reshaping the tourism and hospitality (T&H) industry. This study synthesises existing research, identifies key trends and challenges, and…
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Linking technology readiness and the job demands–resources framework: how generative AI shapes work in small and medium enterprises? — Marimon et al. (2026)
Purpose This study aims to examine how individual technology readiness shapes employees’ perceptions of generative artificial intelligence (GenAI) as a job…