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What Can a Business School Do When Generative Artificial Intelligence Replaces Entry-Level Graduate Jobs? — Liu et al. (2026)
Exploring the Challenges of Generative AI on Public Sector Communication in Europe — Lovari & De Rosa (2025)
Developing and evaluating a design method for positive artificial intelligence — der Maden et al. (2024)
Artificial Intelligence, Publication Ethics, and the Future of Scholarly Publishing: An Editor’s Perspective — Makuloluwa (2026)
Artificial Intelligence in Organizations: A Systematic Review of Operationalizing Generative Artificial Intelligence Capabilities for Organizational Performance — MacHkour & Abriane (2026)
Bridging Causal Reasoning and Fuzzy Calibration for Trustworthy AI Risk Assessment — McConomy et al. (2027)
A Network Approach to Public Trust in Generative AI — McIntyre et al. (2025)
Real-Time Conversational Analysis Using LLMs for B2B E-Commerce Customer Value Management — Nugroho et al. (2026)
Integrating AI and Large Language Models for Automated Data Quality Enhancement in Data Integration Systems — Ponon & Basani (2026)
From Guideline to Gameplay: A Pilot Study on AI Simulation in Medical and Physiotherapy Training — Paukkunen et al. (2026)
Code Comprehension Gaps in AI-Assisted Development: A Conceptual Framework for Knowledge Erosion Patterns — Patel et al. (2026)
“Generative AI literacy across education and business: competencies, obstacles, and benefits—a systematic literature review” — Reicho et al. (2026)
Trust and overreliance on ChatGPT and its implications on critical thinking: an exploration in health policy — Rosas-Jiménez et al. (2026)
Rethinking organizational decision-making: The emerging roles and tasks of generative artificial intelligence — Schulte & Kanbach (2026)
CogDeBias: An LLM-Based Multilingual Framework for Cognitive Bias Detection and Mitigation in Corporate Decision-Making Texts — Shen et al. (2026)
A model for incorporating AI into ERP software — Sarferaz (2026)
Who Is Responsible When AI Gets Cancer Information Wrong? Implications for Patient Education — Suksatan (2026)
A Silent Partner: The Shadow Presence of Generative Artificial Intelligence in Public Administrations — Tangi et al. (2026)
Activity-Based Costing Framework for Total Cost of Ownership Analysis of LLM Services — Tombor & Abonyi (2026)
A framework for human evaluation of large language models in healthcare derived from literature review — Chow et al. (2024)
When combinations of humans and AI are useful: A systematic review and meta-analysis — Vaccaro et al. (2024)
The ethics of artificial intelligence systems in healthcare and medicine: from a local to a global perspective, and back — Vandemeulebroucke (2025)
Improving LLM Outputs Against Jailbreak Attacks With Expert Model Integration — Tsmindashvili et al. (2025)
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)
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)
Would you rather work with ChatGPT or a human coworker? Exploring the impact of generative AI on job satisfaction — Zahs & Schmodde (2026)
Benchmarking large language models for supply chain risk identification: an extended evaluation within the LARD-SC framework — Zhao et al. (2025)
Optimizing employee roles in the era of generative AI: a multi-criteria decision-making analysis of co-creation dynamics — Agarwal (2025)
Factors influencing generative artificial intelligence adoption in Vietnam’s banking sector: an empirical study — Youssef et al. (2025)
DeepSeek vs. ChatGPT: A Comparative Evaluation of AI Tools in Composition, Business Writing, and Communication Tasks — Alafnan (2025)
Continuous Business Process Improvement Driven by Large Language Models — Araujo et al. (2026)
Conversational Enterprise Management Through Agentic AI: A Five-Pillar Framework for LLM-Driven ERP Systems — Assidiqi et al. (2026)
SECURITY IN GENERATIVE AI SYSTEMS: A COMPREHENSIVE LITERATURE REVIEW — Basheer & Darney (2026)
Beyond the GenAI hype: a framework for Generative AI in business — Bauch et al. (2026)
Advancing 21st-Century Professional Competencies with Learning Analytics in the Age of Generative AI — Barthakur et al. (2026)
Leisure futures: a hybrid approach integrating generative AI and design futures — Bevolo & Draeger (2025)
Data Governance Meets Generative Artificial Intelligence: Towards A Unified Organizational Framework — Bernardo et al. (2026)
Generative AI as a driver of organizational creativity: Evidence from the absorptive capacity perspective — Boulitama et al. (2026)
From Principle to Practice: Value Alignment in AI Ethics and Governance — Cao (2025)
Towards Understanding Professional AI Assistant Use: Human-in-the-Loop Topic Modeling of Multi-turn Conversations — Chen et al. (2026)
The promise and peril of generative AI for organizational selection and socialization — Chu & Srivastava (2026)
Integrating ChatGPT to support children and adolescents with diabetes mellitus in South African healthcare: Perspectives of healthcare professionals and academics — Chuma & Sibiya (2026)
Redefining the Programmer: Human-AI Collaboration, LLMs, and Security in Modern Software Engineering — La Cruz et al. (2025)
Integrating Generative AI in Business Intelligence: A Practical Framework for Enhancing Augmented Analytics — Desai & Desai (2025)
Generative AI-enabled intelligent auditing: an organizational adaptation mechanism study based on dynamic capability theory — Deng et al. (2025)
From Gains to Strains: Modeling Developer Burnout with GenAI Adoption — Feng et al. (2026)
Evolving Generative AI: Entangling the Accountability Relationship — Elliott et al. (2025)
Adoption of Generative Artificial Intelligence in the German Software Engineering Industry: An Empirical Study — Felder et al. (2026)
Assessing corporate sustainability with large language models: evidence from Europe — Forster et al. (2026)
Exploring artificial intelligence adoption among Italian firms: the AI readiness level — Costa et al. (2026)
Artificial Intelligence agents and autonomous decision-making in business: a review — Ghane et al. (2026)
Guardrails for Human-AI Ecologies: Norm-Based Coordination and Design for Predictability — Grisold et al. (2025)
Perceptions and Readiness for Generative Artificial Intelligence Implementation Among Oncology Nurses: A Qualitative Study in a Specialized Cancer Hospital — Han et al. (2026)
Emergence of Agentic AI: A Review on Evolution, Background, Working Principles, Applications, Adoption Factors, and Future Research Directions — Haque et al. (2026)
Distrust and disillusionment toward generative artificial intelligence: Psychodramatic exploration of employee trust in organizational technology acceptance — Hartyándi (2025)
Generative artificial intelligence in creative contexts: a systematic review and future research agenda — Heigl (2026)
From Generative AI Adoption to Sustainable Performance Operations Capability Mediation and Environmental Dynamism — He & Yang (2025)
When Your Boss Is an AI Bot: Exploring Opportunities and Risks of Manager Clone Agents in the Future Workplace — Hu et al. (2026)
Generative artificial intelligence and organizational knowledge management: four alternative configurations — Hussinki et al. (2026)
Deployment of generative artificial intelligence to enhance organisational resilience: empirical evidence from the logistics industry — Hou et al. (2026)
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)
Large Language Model Company Policies and Policy Implications in Software Organizations — Khojah et al. (2026)
Understanding Generative AI Usage Behavior in the Workplace: Focusing on the Moderating Role of Subscription to Premium Version — Kim & Kim (2026)
From doing to being: Generative AI, workplace affordances, and professional identity — Lavercombe (2026)
Trust-Aware Orchestration Architecture for LLM-Assisted Workflows in Multi-Tenant Enterprise Systems — Leburu (2026)
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)
Artificial Intelligence in SMEs: Enhancing Business Functions Through Technologies and Applications — Le Dinh et al. (2025)
A Workflow-Oriented Architecture Integrating Large Language Models for Automated Multi-Platform Content Management — Le & Nguyen (2026)
Enhancing Power Enterprise Inspection and Supervision: A LoRA-Based Lightweight LLM Framework Integrating Retrieval-Augmented Generation and Prompt Engineering — Liu et al. (2026)
Large Language Models to Analyze Business Intelligence User Narratives — Lotfipoor et al. (2026)
Exploring the Relationship Between Human-Centric AI and firm Idiosyncratic Risks — Liu et al. (2026)
Mapping generative AI research in tourism and hospitality — Malekpour et al. (2026)
Linking technology readiness and the job demands–resources framework: how generative AI shapes work in small and medium enterprises? — Marimon et al. (2026)
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)
Applying AI Ethics Tools in Mining Industry Organizations — Masárová & Kordoš (2025)
From Effort Reduction to Effort Management: An Expectancy Theory Perspective on Professionals’ Work Practices with Generative AI — Memmert et al. (2025)
A Neurosymbolic Multi-Agent System for Explainable and Traceable Decision-Making in Organizational Contexts — Mertzani et al. (2026)
The promise of productivity or a source of anxiety? Employees’ perspectives on GenAI and workplace outcomes — Mohamud et al. (2026)
In-Mig: Geographically Dispersed Agentic LLMs for Privacy-Preserving Artificial Intelligence — Nauman (2026)
Between Policy and Practice: GenAI Adoption in Agile Software Development Teams — Neumann et al. (2026)
Limitations of RPA Implementations: Exploring the Barriers of Organizational Environments — Nunes et al. (2026)
Design principles for artificial intelligence-augmented decision making: An action design research study — Pathirannehelage et al. (2024)
Adoption of Large Language Models in Scrum Management: Insights from Brazilian Practitioners — Perkusich et al. (2026)
Large Language Models in Clinical Trial Recruitment: Sociotechnical and Economic Framework Development Study — Qian (2026)
Towards Designing for Resilience: Community-Centered Deployment of an AI Business Planning Tool in a Pittsburgh Small Business Center — Lauro et al. (2026)
Physical therapists’ perspectives on a large language model-powered knowledge translation tool for guideline adherence: A qualitative focus group study — Rosen et al. (2026)
Organization Matters: A Qualitative Study of Organizational Dynamics in Red Teaming Practices For Generative AI — Ren et al. (2025)
Integrating PICO principles into generative artificial intelligence prompt engineering to enhance information retrieval for medical librarians — Robinson et al. (2025)
Challenges in Value-Sensitive AI Design: Insights from AI Practitioner Interviews — Sadek & Mougenot (2024)
Achieving green competitive advantage through generative AI: the mediating roles of organisational creativity and green innovation ambidexterity in manufacturing — Ruangkanjanases et al. (2025)
Understanding Human-Centred AI: a review of its defining elements and a research agenda — Schmager et al. (2025)
EVALUATING THE IMPACT OF CHATGPT IMPLEMENTATION ON HR PERFORMANCE SKILLS: A CASE STUDY OF ACADEMIC INSTITUTIONS IN OMAN — Shannaq & Alabri (2025)
AI at the Front Lines of Platform Governance: Using LLMs to Support Illegal Content Reporting under the Digital Services Act — Sekwenz et al. (2026)
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)
From Satisfaction to Strategy: A Structural Model for Implementing Generative AI Chatbots in Campus Bureaucracy Toward Sustainable Service Innovation — Sofiyah et al. (2025)
The impact of ChatGPT integration and customer relationship management on MSME sales performance with operational efficiency as a mediating variable — Sutrisno et al. (2025)
A Neuro-Symbolic Framework for Legal Accountability in Public-Sector AI — Sunny & Sivan-Sevilla (2026)
Unveiling the Impact of AI Technological Anxiety on the Marketers' Intention to Adopt Generative AI — Tao et al. (2025)
Project portfolio management in the age of artificial intelligence: A review of challenges, key features, and future research directions — Taheripour & Sadjadi (2026)
Unlocking microtourism small and medium-sized enterprises potential: Human–AI synergy and open-innovation pathways to sustainability — Thonglor et al. (2026)