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Where deployed, digital and AI tools shave processing times and reduce errors in Nigeria’s ports, but national gains are muted by poor connectivity, legacy systems and weak regulatory and institutional capacity; scaling benefits will require coordinated investment in infrastructure, skills and governance.
low review_meta semantic_scholar
Digital and Ai-Driven Logistics in Nigeria’s Maritime Supply Chain: Adoption, Barriers, and Performance Outcomes · Onah Tobechukwu Francis, Ukpai Ukpai Eni · Fetched Mar 15, 2026
Developers who use generative-AI tools frequently report notable gains in productivity and code quality, with usage frequency the strongest predictor of perceived benefit. Adoption spreads from Enthusiasts to Pragmatists while security worries and a stalled market for AI testing tools slow broader diffusion.
low correlational semantic_scholar
Developers in the Age of AI: Adoption, Policy, and Diffusion of AI Software Engineering Tools · Mark Looi, J. Quinn · Fetched Mar 15, 2026
High upfront costs and weak supply‑chain integration are the chief bottlenecks to Industry 4.0 adoption in Thailand's auto sector; expert-driven prioritization shows financing and supply‑chain coordination should come before capability-building to unlock the biggest gains.
low descriptive semantic_scholar
Evaluating Critical Barriers to Industry 4.0 Adoption in the Thai Automotive Sector Using an Integrated Fuzzy BWM-PROMETHEE II-DEMATEL Framework · T. Kiatcharoenpol, P. Sirisawat · Fetched Mar 15, 2026
Chinese listed firms with stronger AI capabilities and externally oriented cultures are materially more likely to adopt blockchain, while market competition, government support and regional digital finance also boost adoption; firms adopting blockchain report reduced earnings‑management, suggesting governance gains.
medium correlational semantic_scholar
The effects of AI technology, externally oriented corporate culture and environment on blockchain technology adoption · Chengliu He, Ying Han Fan, Xinru Yue, Grantley Taylor, Yizao Chen · Fetched Mar 15, 2026
UK firms that adopt generative AI report better business performance, largely because AI fuels product innovation rather than just efficiency gains; adoption is concentrated where technological competence and top-management backing exist, and is dampened by regulatory uncertainty.
low correlational semantic_scholar
Generative AI Adoption and Business Performance in the United Kingdom: An Empirical Investigation of the Mediating Roles of Operational Efficiency and Product Innovation · Oyakhire Victor Alaba · Fetched Mar 15, 2026
AI uptake in Slovak firms increased from 2021–24 but stayed below the EU27 average and did not deliver measurable short-term gains in national labour productivity; any benefits will likely hinge on organisational change, skills investment and a longer horizon.
low correlational semantic_scholar
Artificial Intelligence Adoption and Labour Productivity in Slovakia and the EU27: Implications for Sustainable Economic Growth · J. Kádárová, Milan Fiľo, Dominika Sukopová, Monika Dúlová · Fetched Mar 15, 2026
AI uptake among entrepreneurial firms is driven more by outside forces — infrastructure, peer influence and competition — than by internal expectations, and adoption is linked to strategic renewal and stronger triple‑bottom‑line performance; paradoxically, higher initial performance expectations reduced adoption, reflecting implementation frictions.
medium correlational semantic_scholar
Drivers and Sustainable Performance Outcomes of AI Adoption Intention: A Multi-Theoretical Analysis in the Entrepreneurial Ecosystem · Mahdi Ashkani, Léo‐Paul Dana, A. Rashidi, Fatemeh Shafaei, Aidin Salamzadeh · Fetched Mar 15, 2026
AI tools can sharply improve efficiency and create flexible work opportunities for women micro‑entrepreneurs in Jaipur — some studies report up to 40% cuts in manual processing time. However, poor connectivity, limited digital skills and a lack of gender‑responsive policy risk preventing these gains from spreading equitably.
low review_meta semantic_scholar
Role of AI in Enhancing Work Efficiency and Opportunities for Women Employees in Micro Firms in Jaipur: A Systematic Literature Review · Jailata, Prof. (Dr.) Saurabh Kumar · Fetched Mar 15, 2026
AI-controlled irrigation boosted wheat yields by 35% while cutting water use by 36% and diesel consumption by 30% in a Baghdad trial, delivering strong private returns (IRR 30%; NPV $18,121). If replicated on farms, the technology could align farmers' profits with water- and energy-savings, though results come from a single-season research-station experiment.
high rct semantic_scholar
Economic Analysis of AI‐Driven Resource Efficiency in Sustainable Agriculture in Iraq · Shayma A. Al-Rubaye · Fetched Mar 15, 2026
Firms that pair AI and Big Data with strong governance tend to reduce market uncertainty in crises, but benefits are uneven across industries and hinge on regulation and data maturity; misapplied models or blind automation can amplify volatility.
medium correlational semantic_scholar
An Empirical Study on the Impact of the Integration of AI and Big Data on Market Uncertainty in the Context of Economic Turbulence · YiLv Ge · Fetched Mar 15, 2026
AI adoption raises Tunisian SMEs' financial and operational performance, but the returns concentrate in firms with stronger finance and technical skills; weak formal institutions do not significantly blunt these gains, implying firms use adaptive informal mechanisms.
low correlational semantic_scholar
Structural Constraints as Moderators in the Ai–performance Relationship: Evidence from Smes in an Emerging Economy · Fatma Cherif · Fetched Mar 15, 2026
AI often acts as cheap, scalable prediction that can boost output where firms can rewire work and data flows, yet organizational frictions, data dynamics and implementation costs frequently blunt its economic impact; crucially, social‑science research so far provides limited, rigorous guidance for policymakers preparing for very rapid or systemic AI‑driven transitions.
medium review_meta semantic_scholar
The Economic Impacts of Artificial Intelligence: A Multidisciplinary, Multi-book Review · K. Bryan · Fetched Mar 15, 2026
AI could funnel income to a few asset-owning firms and hollow out the labor tax base; the Article urges raising capital‑gains taxes on AI‑intensive firms now and preparing to switch to a consumption tax if labor’s share collapses.
low commentary semantic_scholar
Taxing AI · Assaf Harpaz · Fetched Mar 15, 2026
Digital tools can accelerate green innovation and cut emissions—but only with clean power, enforceable auditability and upgraded workforce skills; absent these complements, AI-driven digitalization risks higher electricity use, measurement divergence and widening inequality.
medium review_meta semantic_scholar
The synergy of digital innovation and green economy: A systematic review of mechanisms, challenges, and adaptive strategies in the post-Al era · R. Santos, María Isabel Casal Reyes · Fetched Mar 15, 2026
Women across Europe are substantially underrepresented in advanced digital tasks — about a 15 percentage-point average gap that becomes a sharp 'digital glass ceiling' at the highest digital-intensity jobs. Observable characteristics explain only roughly 30% of the gap, implying workplace organisation, task allocation and promotion practices — not just STEM supply — must be addressed (Ireland shows an especially large male concentration in advanced digital roles).
medium correlational semantic_scholar
Squandered skills? Bridging the digital gender skills gap for inclusive growth in Ireland – A comparative European perspective · Adele Whelan, Luke Brosnan, S. McGuinness · Fetched Mar 15, 2026
Firms that signal stronger data-driven decision-making in their disclosures tend to perform better internationally; the gains operate through sustainability-focused value-creation channels and are larger in competitive markets and in firms with significant foreign or state ownership.
low correlational semantic_scholar
The data-driven decision-making, sustainable value creation, and international firm performance: Micro-level evidence based on AI language models · Miao Xu, B. Lu · Fetched Mar 15, 2026
AI boosts organizational decision-making only when paired with human judgment and institutional design; treating algorithms as replacements risks poorer outcomes. Firms must design task allocation, feedback, interpretability, and accountability systems so algorithmic strengths amplify—not displace—managerial sense-making.
n/a review_meta semantic_scholar
Reframing Organizational Decision-Making in the Age of Artificial Intelligence: A Conceptual Review of Human–AI Augmentation · Dr. Pratik B. Upase · Fetched Mar 15, 2026
Generative AI is not just a tool but a new organizational element: startups are forming 'hybrid decision architectures' in which algorithmic outputs and human judgment recursively co-produce decisions, remaking job roles, routines and managerial practices; these configurations offer productivity complementarities but require new hiring, training and governance to institutionalize.
medium descriptive semantic_scholar
Hybrid decision architectures: exploring how facilitated AI access reconfigures startups' organizational structures and decision-making · Douglas Mac Cord, Carla Ramos, G. F. A. Monteiro · Fetched Mar 15, 2026
AI and HR analytics are linked to modest productivity gains on average (r = 0.28), but returns vary sharply with data quality, governance and industry; opaque algorithms and weak labor safeguards risk discrimination, privacy loss and the commodification of workers.
medium review_meta semantic_scholar
ALGORITHMIC DETERMINISM VERSUS HUMAN AGENCY: A SYSTEMATIC REVIEW AND META-ANALYSIS OF ARTIFICIAL INTELLIGENCE AND HR ANALYTICS IN ORGANIZATIONAL DECISION-MAKING · Dr. Fouzia Bedad, Dr. Khaled Mokhtari, Dr. Amina Sammache · Fetched Mar 15, 2026
A modest, private-sector–style AI governance standard could curb risks from AI use in military decision-making while reshaping defense procurement and innovation incentives. Although it raises short-term compliance costs that favor larger contractors, standardized certification and audit markets may lower long-run integration costs and influence international competitive dynamics.
n/a commentary semantic_scholar
AI governance for military decision-making: A proposal for managing complexity · Osonde A. Osoba · Fetched Mar 15, 2026
Top IT firms report that AI tools in HR cut time-to-hire and improve match quality, turning HR from back-office processing into analytics-driven strategy; but benefits are concentrated at data-rich firms and are offset by algorithmic bias, privacy concerns, integration costs and skills gaps.
medium review_meta semantic_scholar
AI-Driven Decision Making and Digital Recruitment: Transforming HRM in Leading IT Companies  · Prashasth Bhushan · Fetched Mar 15, 2026
How researchers pay participants shapes what we learn about human–AI teamwork: inconsistent or misaligned incentives bias measured effort, trust and accuracy, so the authors propose a practical Incentive‑Tuning Framework to calibrate and transparently report pay schemes across studies.
medium review_meta semantic_scholar
Incentive-Tuning: Understanding and Designing Incentives for Empirical Human-AI Decision-Making Studies · Simran Kaur, Sara Salimzadeh, U. Gadiraju · Fetched Mar 15, 2026
Personalized AI explanations can boost human–AI team performance, but only when tasks let humans and models play complementary roles; in controlled experiments personalization delivered complementarity in an engineered geography task but not in a standard sentiment-analysis task.
medium rct semantic_scholar
Who Needs What Explanation? How User Traits Affect Explanation Effectiveness in AI-Assisted Decision-Making · Torrence S Farmer, Chien-Ju Ho · Fetched Mar 15, 2026
Well-structured prompts materially boost autonomous agents’ performance—improving accuracy, speeding task completion and reducing errors—while standardized prompt frameworks noticeably improve multi-agent coordination; firms that invest in prompt engineering can raise automation productivity and lower coordination costs.
medium rct semantic_scholar
Prompt Engineering for Autonomous AI Agents: Enhancing Decision-Making and Task Coordination in Dynamic Environments · Rana Sami Ullah Khan, Sumayya Bibi, Asad Latif, Maria Soomro, Mahpara · Fetched Mar 15, 2026
AI is a general-purpose economic force that raises productivity and creates new organizational forms, but it also reshapes tasks, labor demand, and market power, requiring fresh research agendas and policy responses.
n/a review_meta semantic_scholar
Model-Driven Hybrid AI Framework for End-to-End Autonomous Decision-Making in Drug Development · Hyunjung Lee, Hyeonseok Kang, W. Jung, Hyojin Cho, Sungwoo Goo, Hwi-yeol Yun, Mi... · Fetched Mar 15, 2026