Papers (1699)

Filter: Sort:

AI complaint-management tools markedly speed triage and standardize case classification, raising operational efficiency and routine-patient satisfaction; however, privacy risks, algorithmic bias, system-integration hurdles and empathy losses mean hybrid human-plus-AI models with strong governance are essential for sustained benefits.

medium quasi_experimental Summary semantic_scholar

The Role of Artificial Intelligence in Healthcare Complaint Management: Implications for Organizational Performance, Patient Experience, and Service Governance · Mohammad Ayan, Ayushi Singh, Khushbu Singh, S. Sarfaraz, Ajit Pal Singh · Fetched Mar 12, 2026

Organizations that implement formal, company-wide risk management turn risk control into a strategic advantage, improving stability, decision-making and stakeholder trust; applied to AI projects, such practices can reduce model failure, speed adoption and create competitive edge.

low review_meta Full text semantic_scholar

The Role of Risk Management as an Organizational Management Strategy: A Literature Study · Ameilia Nurfadhilah, Fitria Aulia Cahyaningrum, Ahmad Dairobi, Janu Ilham Saputr... · Fetched Mar 12, 2026

AI-enabled financial analytics turn bookkeeping into decision engines that raise capital efficiency and speed risk response; the biggest gains accrue to firms with integrated data and cloud infrastructure, while opaque models and uneven adoption create governance and competition concerns.

n/a descriptive Full text semantic_scholar

Next-Generation Financial Analytics Frameworks for AI-Enabled Enterprises · Gaurav Walawalkar, Titilayo Elizabeth Oduleye, Micheal Olumuyiwa Adesuyi, Adaora... · Fetched Mar 12, 2026

AI 'co‑pilots' will soon be standard in developer tools, automating routine coding, testing and maintenance while boosting productivity; firms that combine these tools with skilled staff and organizational processes will capture most gains, widening advantages for well-resourced teams.

low descriptive Full text semantic_scholar

How AI Will Transform the Daily Life of a Techie within 5 Years · Ripunjoy Sarkar · Fetched Mar 12, 2026

A seven-stage operational algorithm helps SMEs deploy AI responsibly: a pilot shows a gradient-boosting forecasting model — embedded with explainability and human-in-the-loop controls and supported by MLOps — outperforms the baseline and raises managerial trust, though findings come from a single firm and require broader validation.

low descriptive Summary semantic_scholar

ALGORITHM FOR IMPLEMENTING AI IN THE MANAGEMENT LOOP OF SMES: FROM PROBLEM FORMULATION TO DAILY OPERATION · S. V. Savin · Fetched Mar 12, 2026

A blueprint for human–AI complementarity: firms that invest in team composition, shared mental models, attention/orchestration, and continuous training can achieve team performance that exceeds humans or AI alone; without these sociotechnical investments, AI’s productivity gains will be limited and uneven.

n/a theoretical Summary semantic_scholar

Toward a science of human–AI teaming for decision-making: A complementarity framework · Cleotilde Gonzalez, Kate Donahue, Daniel G Goldstein, Hoda Heidari, Mohammad S. ... · Fetched Mar 12, 2026

Explainability helps, but only with rules and design: readable, actionable explanations increase trust and accountability in high‑risk AI applications only when paired with human‑centered design, clear governance and auditability; without institutional safeguards, explanation efforts can fail or backfire.

low review_meta Full text semantic_scholar

Explainable AI in High-Stakes Domains: Improving Trust, Transparency, And Accountability in Automated Decision-Making · Lalithareddy Badam · Fetched Mar 12, 2026

AI forecasting and ERP integration unlock supply-chain gains only with organizational change; technology alone delivers limited benefit without executive commitment, cross-functional processes and strong data practices.

low descriptive Full text semantic_scholar

Optimizing integrated supply planning in logistics: Bridging gaps for enhanced operational efficiency and strategic decision-making · Vutivi Scholarstic Mashaba, Bruno Emwanu · Fetched Mar 12, 2026

Serious games can unlock farmer uptake of land‑use decision tools by making model assumptions transparent, demonstrating profitability–emissions trade‑offs, and fitting into farm workflows; however, the evidence is preliminary, coming mostly from small pilots and requiring larger field trials and validation to confirm real‑world effects on land use and emissions.

low review_meta Full text openalex

Serious games and decision support tools: Supporting farmer decision making for land use net zero. · Thompson, Chloe, Urquhart, Julie, Maye, Damian, Goodenough, Alice · Fetched Mar 12, 2026

Generative AI promises productivity and innovation in information systems but adoption is hindered by hallucinations, bias and an absence of governance; IS research should move from documenting impacts to actively shaping human–AI co-evolution and adaptive regulatory and organizational practices.

n/a review_meta Full text arxiv

The Landscape of Generative AI in Information Systems: A Synthesis of Secondary Reviews and Research Agendas · Aleksander Jarzębowicz, Adam Przybyłek, Jacinto Estima, Yen Ying Ng, Jakub Swach... · Mar 12, 2026

Autonomous scheduling agents that reward cooperative behavior using only aggregate demand signals can substantially improve simulated electricity-load coordination and permit beneficial unilateral adoption; but in some parameter regimes non-adopters capture outsized gains, creating free‑rider risks.

low theoretical Full text arxiv

Hybrid Human-Agent Social Dilemmas in Energy Markets · Isuri Perera, Frits de Nijs, Julian Garcia · Mar 12, 2026

A GPT-5 audit finds similar job and industry recommendations for simulated male and female applicants but uses markedly gendered language — women described as empathetic and relational, men as analytical and leadership-oriented, raising fairness concerns for AI-assisted hiring.

low descriptive Full text arxiv

Gender Bias in Generative AI-assisted Recruitment Processes · Martina Ullasci, Marco Rondina, Riccardo Coppola, Antonio Vetrò · Mar 12, 2026

Coordination and proto-intelligence can arise from simple feedback between agents, incentives and persistent environmental memory without centralized goals; stability hinges on dissipation outweighing reactive amplification, captured in explicit spectral conditions.

n/a theoretical Full text arxiv

How Intelligence Emerges: A Minimal Theory of Dynamic Adaptive Coordination · Stefano Grassi · Mar 12, 2026

Frontier LLMs can articulate when they are failing in high‑stakes, unverifiable decisions but still keep making the same mistakes; across clinical, investment and reputational scenarios seven systems cycled into a refined but persistent 'helicoid' loop that grows more stable under pressure, undermining trust in AI as a reliable partner for irreversible decisions.

low descriptive Full text arxiv

AI Knows What's Wrong But Cannot Fix It: Helicoid Dynamics in Frontier LLMs Under High-Stakes Decisions · Alejandro R Jadad · Mar 12, 2026

A centralized Supervisor that adaptively orchestrates modality-specialist tools cuts multimodal query latency and inference cost: on 2,847 benchmark queries the system reports a 72% median reduction in time-to-accurate-answer, 85% less conversational rework, and 67% fewer expensive model invocations versus a matched hierarchical pipeline, while maintaining accuracy parity.

low descriptive Full text arxiv

One Supervisor, Many Modalities: Adaptive Tool Orchestration for Autonomous Queries · Mayank Saini Arit Kumar Bishwas · Mar 12, 2026

Changing the composition of feedback and asking annotators for probabilities reduces systematic under-detection of rare events, and applying a simple recalibration step to aggregated probabilities produces better-calibrated labels that materially improve CNN performance out of sample.

high rct Full text arxiv

Managing Cognitive Bias in Human Labeling Operations for Rare-Event AI: Evidence from a Field Experiment · Gunnar P. Epping, Andrew Caplin, Erik Duhaime, William R. Holmes, Daniel Martin,... · Mar 12, 2026

Providing three retrieved passages lets humans check AI extractions nearly as accurately as reading the full source while saving time; by contrast, LLM-generated explanations are faster but encourage over-reliance and make users less likely to spot errors, particularly on complex answers.

medium rct Full text arxiv

To Believe or Not To Believe: Comparing Supporting Information Tools to Aid Human Judgments of AI Veracity · Jessica Irons, Patrick Cooper, Necva Bolucu, Roelien Timmer, Huichen Yang, Chang... · Mar 12, 2026

Digital–real integration and higher-quality productive capacity reinforce one another across Chinese provinces, but gains are locally concentrated: progress in one province tends to crowd out development in neighbors, producing negative spatial spillovers.

medium quasi_experimental Summary openalex

Spatial Interplay Between Digital–Real Integration and New Quality Productive Forces: Evidence from China · Xiao Li, Nan Liu · Mar 12, 2026

Europe’s legal frameworks lag behind AI‑amplified online harms against children, leaving regulatory gaps that enable cross‑border hosting of abuse and weak private incentives to prevent harm; robust, technology‑aware, rights‑preserving, and internationally coordinated rules — alongside enforcement and clear platform obligations — are needed to align market incentives and protect young users.

low descriptive Full text openalex

Navigating Digital Safety for Minors in Europe · Jutta Sonja Oberlin, Sarah von Hoyningen-Huene · Mar 12, 2026

AI adoption in Chinese sports firms stabilises supplier relationships but destabilises customer ones, driven chiefly by talent acquisition rather than logistics gains. The net effects vary by firm type and profitability, implying AI returns depend heavily on firm context and workforce strategies.

medium quasi_experimental Summary openalex

Can Artificial Intelligence Enhance the Stability of Supply Chain Systems for Sports Enterprises? Insights from Systems Theory and Supply Chain Management Theory · Zhaoyang Zhao, Biao Wang, X. He, Jing Huang · Mar 12, 2026

Researchers using machine learning on corporate disclosures rely mostly on hand-crafted sentiment indices and conventional supervised models rather than embedding-based or end-to-end deep learning, while studies are concentrated geographically and lack common benchmarks — a fragmentation that constrains robust conclusions about how disclosure tone predicts firm financial outcomes.

n/a review_meta Full text openalex

Machine Learning for Sentiment-Based Corporate Disclosure Analytics: A Systematic Review of Data, Sentiment Representations, and Predictive Models · Ramon Abilio, Guilherme Palermo Coelho, Ana Estela Antunes da Silva · Mar 12, 2026

Viewing LLM teams through the lens of distributed systems exposes the core trade-offs—coordination, redundancy and fault tolerance—that determine whether multiple models beat a single agent; this conceptual framework offers a principled way to choose team size and structure without pure trial-and-error.

n/a theoretical Full text openalex

Language Model Teams as Distributed Systems · Elizabeth Mieczkowski, Katherine M. Collins, Ilia Sucholutsky, Natalia Vélez, Th... · Mar 12, 2026

Hybrid work expands flexibility but fragments workplace social capital, threatening visibility and career pathways for remote employees; deliberate leadership and inclusive policies are essential to preserve productivity and equity.

n/a theoretical Full text openalex

The Sociology of Remote Work and Organisational Culture: How the Shift to Hybrid and Remote Work Reshapes Workplace Norms, Power Dynamics, and Social Cohesion · Adebisi A., Balogun O. · Mar 12, 2026

The China–ASEAN FTA cut regional trade-policy uncertainty and unexpectedly boosted China’s agricultural imports from third countries by lowering marginal import costs and creating complementary supply channels; the windfall accrued mainly to medium and large firms, with micro and small firms left behind.

medium quasi_experimental Full text openalex

How regional trade policy uncertainty affects agricultural imports from third countries: evidence from the China-ASEAN free trade area · Cheng Qin, Bao Wang, Xueyi Wang, Jiye Hu · Mar 12, 2026

Autonomous, multi-stage cyber agents could democratize top-tier offensive operations and reshape the cyber-economy, raising strategic escalation and systemic-risk concerns; governments and industry must prioritize monitoring, defensive investment, and governance to manage widened externalities and market disruptions.

low descriptive Full text openalex

Highly Autonomous Cyber-Capable Agents: Anticipating Capabilities, Tactics, and Strategic Implications · Jam Kraprayoon, Shaun Kai Ern Ee, Brianna Rosen, Yohan Matthew, Aditya Kumar Sin... · Mar 12, 2026

« Prev 1 2 3 … 60 61 62 … 67 68 Next »