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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)
Getting in Contract with Large Language Models—An Agency Theory Perspective on Large Language Model Alignment — Kaltenpoth & Müller (2026)
Adopting Large Language Models to Automated System Integration — Pesl (2025)
The Rise of Agentic AI: A Review of Definitions, Frameworks, Architectures, Applications, Evaluation Metrics, and Challenges — Bandi et al. (2025)
Siyasat: AI-Powered AI Governance Tool to Generate and Improve AI Policies According to Saudi AI Ethics Principles — Alboaneen et al. (2025)
The implementation of artificial intelligence in organizations by functional areas: A review and conceptual model — Aguado-García et al. (2026)
Artificial Intelligence: Objective or Tool in the 21st-Century Higher Education Strategy and Leadership? — Bollaert (2025)
AI-Enabled Customised Workflows for Smarter Supply Chain Optimisation: A Feasibility Study — Javidroozi et al. (2025)
A Complex Leadership Perspective on Generative AI Adoption in SMEs: The Interplay of TAM, TMT, and RBV — Peñarroya-Farell et al. (2025)
Artificial Intelligence Adoption in SMEs: Survey Based on TOE–DOI Framework, Primary Methodology and Challenges — Sánchez et al. (2025)
Approach or Avoidance: How Does Employees’ Generative AI Awareness Shape Their Job Crafting Behavior? A Sensemaking Perspective — Yan et al. (2025)
A Paradox of Fit: How Job Complexity Shapes AI Self-Efficacy and AI Adoption Through a Curvilinear Mechanism — Akben & Dong (2025)
Examining News Innovation Narratives, Practices and Institutional Logics: A Study on GenAI Adoption in Egyptian Newsrooms — Arafat & Cooper (2025)
AI Integration in the IT Professional Workplace: A Scoping Review and Interview Study with Implications for Education and Professional Competencies — Clear et al. (2025)
Divisional perspectives on trust in generative AI: an empirical study of senior decision-makers — Khac et al. (2025)
Balancing Automation and Accuracy: A Comparative Analysis of AI Integration in News Production — Ebrahimi (2026)
Infusion of generative artificial intelligence: boosting organizational agility and effectiveness — Koh & Yuen (2026)
Exploring artificial intelligence adoption in public organizations: a comparative case study — Neumann et al. (2022)
One Size Fits Some: How Journalistic Roles Shape the Adoption of Generative AI — Møller et al. (2026)
Factors Affecting the Adoption of Generative AI Tools Among Information Technology Employees: A UTAUT3, TTF, and SOR Perspective — Prasad et al. (2026)
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)
Vibe Coding in Product Teams: Reconfiguring AI-Assisted Workflows, Prototyping, and Collaboration — Li et al. (2026)
Unlocking the potential of generative artificial intelligence: adoption drivers and organisational performance — Pokar (2025)
The role of generative AI in improving the sustainability and efficiency of HR recruitment process — Koteczki et al. (2025)
The evolution of organisational AI readiness toward an orchestration capability — Jonak & Wodecki (2026)
The Present and Future of Accountability for AI Systems: A Bibliometric Analysis — Bartsch et al. (2025)
Separation of Concerns for Privacy-Preserving LLM Adoption: A Banking Architecture Framework — Kong et al. (2026)
SCOPE: A System for Customized and Optimized Project Enhancement for IT Project Management — Samame et al. (2025)
Redefining Middle Management: How Generative AI Reshapes Roles and Competencies — Jean-Baptiste (2026)
Policy-As-Prompt: Rethinking Content Moderation in the Age of Large Language Models — Palla et al. (2025)
LLM-Powered Knowledge Graphs for Enterprise Intelligence and Analytics — Kumar et al. (2025)
LLM support for enterprise modelling based on integrating prompt and enterprise modelling meta-models — Sandkuhl et al. (2026)
Instructional designers and generative AI: a systematic and bibliometric review of adoption, role adaptation, and entrepreneurial integration — Ngate (2026)
Impacts of generative artificial intelligence on the future of labor market: A systematic review — Salari et al. (2025)
Human-aligned AI for supply chain risk detection: validation and calibration of LLM-based early-warning assessments — Purk (2026)
Genflow Ad Studio: A Compound AI Architecture for Brand-Aligned, Self-Correcting Video Generation — Das et al. (2026)
Generative AI in project management: Impacts on corporate values, employee perceptions, and organizational practices — Aramali et al. (2025)
GAI-enabled CRM and sales unit performance: A user-level pathway through perceived quality and technology acceptance, moderated by adoption duration — Saadé & Sabri (2026)
From Domain Documents to Requirements: Retrieval-Augmented Generation in the Space Industry — Arora et al. (2025)
From Automation to Transformation with AI-Tools: Exploring the Professional Norms and the Perceptions of Responsible AI in a News Organization — Cools & de Vreese (2026)
Challenges and Opportunities for Generative AI in Software Engineering: A Managerial View — Rico & Öberg (2025)
Artificial Intelligence in Recruitment: A Multivocal Review of Benefits, Challenges, and Strategies — Trovão et al. (2025)
An organizational theory for multi-agent interactions integrating human agents, LLMs, and specialized AI — Borghoff et al. (2025)
AI-augmented Business Process Management Systems: A Research Manifesto — Dumas et al. (2023)
A Cost-Benefit Analysis of On-Premise Large Language Model Deployment: Breaking Even with Commercial LLM Services — Pan et al. (2025)
Evaluating LLMs as Agentic Workflow Executors in Real-World Customer Support Skills — Laskar et al. (2026)
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models — Elangovan et al. (2024)
Safe, Persistent, and Evolving Agent Harness for Understanding Partially Observable Worlds — Gao et al. (2026)
Evaluating Local Language Model Agents for Reproducible Data Engineering: An Empirical Software Engineering Study of Mobility Workflows — García-Carrasco et al. (2026)
Agentic Agile-V: From Vibe Coding to Verified Engineering in Software and Hardware Development — Koch (2026)
Symbolic Separation: Grounding Deep Agents in Knowledge Graphs for Trustworthy Operational Data Analytics — Davletiyarov et al. (2026)
From AI Adoption to AI Transformation: The AX-5R Framework for Socio-Technical Work System Redesign — Shin et al. (2026)
A Policy-Aligned Agentic RAG Framework for Risk-Aware Decision Support in Enterprise Customer Relationship Management — Ganesan (2026)
Argo-Bench: Evaluating Data Agents on Enterprise-Scale Workflows — Tomitsuka et al. (2026)
Responsible artificial intelligence governance: A review and research framework — Papagiannidis et al. (2025)
Positioning public sector practitioners as ‘moral crumple zones’: Mechanisms in the early use of generative AI work support tools — Choroszewicz (2026)
From Backlog Items to Security Guidance: Towards Continuous Security Compliance — Núñez et al. (2026)
CredWise: A Controlled Agentic Decision-Intelligence Framework for Explainable and Auditable Credit-Risk Assessment — Tiwari (2026)
Agentic information systems — Holldack et al. (2026)
Agentic AI: Autonomous Intelligence for Complex Goals—A Comprehensive Survey — Acharya et al. (2025)
Evaluation of Generative Artificial Intelligence Implementation Impacts in Social and Health Care Language Translation: Mixed Methods Case Study — Martikainen et al. (2025)
Causal mapping of the risks of using generative AI in software development — Hein et al. (2026)
Knowledge-as-Skill: A Structural Design for Autonomous Knowledge-Base Use by LLM Agents — Wu (2026)
The Work Behind Delegation: A Framework for Supervising AI Coding Agents — Park et al. (2026)
FlowCheck: Helping End-Users Specify and Verify Intent in Vibe-Coded Web Apps — Vir et al. (2026)
CHORUS: Designing Human-AI Multi-Agent Collaboration for Professional Translators — (2026)
GenAI and employee innovativeness: How employees' sensing capabilities and the capabilities to use and evaluate GenAI shape their innovative work behavior — Held & Heubeck (2025)
Exploring Large Language Models in external audits: Implications and ethical considerations — Fotoh & Mugwira (2025)
AI Agents vs. Agentic AI: A Conceptual Taxonomy, Applications and Challenges — Sapkota et al. (2026)
PEARL: An Adaptive and Explainable Hardware Trojan Detection Using Open Source and Enterprise Large Language Models — Kundu et al. (2025)
Unveiling the Generative AI boom: what hype metrics reveal for digital business and E-commerce — Mora-López et al. (2026)
Leveraging RAG and LLMs for Access Control Policy Extraction From User Stories in Agile Software Development — Aboukadri et al. (2025)
Generative artificial intelligence (GenAI) revolution: A deep dive into GenAI adoption — Kumar et al. (2025)
Enhancing corporate innovation through generative AI: A case study on Human–AI collaboration — Pena et al. (2026)
The Evolution of AI in Business: A Topic Model Analysis of Research Trends — Bohr (2025)
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)
Agentic AI Framework for Autonomous Workforce Analytics and Decision Support in Enterprise HRIS Systems — Balerao (2026)
Addressing trust requirements in the design of an open-source multi-agent LLM-based domain-specific chatbot — Axetorn et al. (2026)
WhatsCode: Large-Scale GenAI Deployment for Developer Efficiency at WhatsApp — Mao et al. (2026)
The Verified Query Repository: A Human-in-the-Loop Architectural Pattern for Eliminating Hallucination in Enterprise NLP Systems — Sureshbabu (2026)
Probabilistic Requirement Modeling For Enterprise AI Workflow Orchestration: An Outcome-Centric Framework For Non-Deterministic Systems — Narasimhan (2026)
Governed Software Evolution: Embedded Engineering Agents and the Curation of User-Originated Variability in Enterprise Applications — Vijayan (2026)
Governed Agentic Process Automation: A Floor-Safety Guarantee for Compliance-Critical LLM Routing — Pacella et al. (2026)
Generative AI for trustworthy systems - Towards a health check model — Bosch et al. (2026)
A Generative AI-Based Framework for Business Process Orchestration in Industrial Enterprises — Ilieva & Iliev (2026)
From Models to Metrics: A Governance Framework for Large Language Models in Enterprise AI and Analytics — Desai & Desai (2026)
Expanding Innovation in Agriculture: Case Study on Adoptable Technologies Using GenAI Based on Traditional Knowledge Management — Contreras-Medina et al. (2025)
AI-Assisted Value Investing: A Human-in-the-Loop Framework for Prompt-Guided Financial Analysis and Decision Support — Caridi et al. (2026)
Smart Routing for Sustainable Supply Chain Networks: An AI and Knowledge Graph Driven Approach — Felder et al. (2025)
QuackIR: Retrieval in DuckDB and Other Relational Database Management Systems — Ge et al. (2025)
Knowledge Management in Manufacturing: Current Practices, Barriers, and Automation Potential for LLM-Supported Systems † — Finkel & Wurster (2026)
HCEA: A Multi-Agent Framework for Sustainable Human-Centered Entrepreneurship Based on a Large Language Model — Gao et al. (2026)
GenAI, Leadership, and Entrepreneurial Orientation: The Mediating Role of Knowledge Management Capability — Eraliyeva et al. (2026)
Drivers and Barriers to AI Adoption in Retail Enterprises: A Systematic Literature Review and Conceptual Framework — Cui & Bulis (2025)
Personalism in Generative AI Deployment: Deciding Ethically When Human Creative Expression is at Stake — Fioravante & Vaccaro (2025)
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)
Governance of Generative Artificial Intelligence: A Contemporary and Institutional Perspective — Hasan (2025)
Fostering Organizational Collective Intelligence From Human-Generative AI Interaction — Hino et al. (2026)
Permission-Aware RAG: Identity and Access Management (IAM)-Based Access Filtering in Multi-Resource Environments — Jeong & Lee (2025)
DKC-LLM: Dynamic Knowledge Caching for Large Language Models in Business Applications — Khaliq & Adebayo (2026)