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Digital leadership, not delivery chops, predicts Nigerian SMEs' intent to adopt AI: strategic, interpersonal and personal capabilities raise owner-managers' stated readiness to implement AI, aided by an innovative organisational climate and amplified by medium firm size.
low correlational Summary semantic_scholar
Leading in the Digital Age: Digital Leadership Capabilities, Organisational Innovation Climate, and AI Adoption Intention Among SMEs in Nigeria · A. Idowu, Y. Babalola · Fetched Jul 13, 2026
Consumers report that contextual and strategic actions lift AI adoption in hospitality, and adoption is linked to better technology management, sustainability and cost efficiency. The evidence rests on expert interviews and a survey of 499 AI‑aware consumers, so findings reflect perceptions rather than firm-level causal effects.
low correlational Summary semantic_scholar
Conceptualization of causes and implications of AI adoption behavior in hospitality and tourism: sequential Qual-Quan mixed methods research · Mohammad Alimohammadirokni, Ali Iskender, Nasrin Rasouli · Fetched Jul 13, 2026
HCI experiments reveal frequent over-reliance on AI advice, but most studies use unrealistic decision tasks; designing interventions to foster appropriate reliance will boost engagement yet can come at a cost to efficiency or scalability.
n/a review_meta Summary semantic_scholar
Do People Appropriately Rely on AI-Advice? An Analytical Review of HCI Research on Human-AI Decision-Making · Muhammad Raees, Vassilis-Javed Khan, Ioanna Lykourentzou, Konstantinos Papangeli... · Fetched Jul 13, 2026
Generative AI is reshaping organizational decision-making into six distinct roles but rarely makes the final call; firms use GenAI extensively for attention, intelligence, design and implementation tasks, yet integration into the choice stage remains limited.
n/a review_meta Full text semantic_scholar
Rethinking organizational decision-making: The emerging roles and tasks of generative artificial intelligence · Niklas Schulte, Dominik K. Kanbach · Fetched Jul 13, 2026
Warehouse robots are not simply replacing workers but reshaping jobs into supervisory and exception-handling roles that demand technical, cognitive and teamwork skills; without deliberate reskilling and people-centered system design, algorithmic management risks higher surveillance, deskilling and worker turnover.
medium review_meta Full text semantic_scholar
Redefining warehouse workforce competencies and roles through human-robot collaboration · C. Umeh · Fetched Jul 13, 2026
AI and generative AI may add 78 million jobs globally by 2030, but the boom masks intense disruption: over one in five jobs will be structurally transformed and nearly 40% of current skills risk obsolescence. Women—especially in high‑income countries—face disproportionately high automation risk, while Kazakhstan’s new AI law and Alem.AI highlight early state attempts to manage an emerging 'AI precariat'.
low review_meta Summary semantic_scholar
AI AND THE TRANSFORMATION OF THE LABOR MARKET: THE SOCIAL CONSEQUENCES OF AUTOMATION AND THE NEW EMPLOYMENT UNCERTAINTY · N. Baigabylov, Alimzhan Yessenovabylov · Fetched Jul 13, 2026
Population-wide study finds no clear ChatGPT-driven youth job losses in Norway: small negative point estimates for young workers in AI-exposed occupations are statistically insignificant and a backdating test suggests pre-existing trends account for much of the observed change.
medium quasi_experimental Summary semantic_scholar
Labor Market Consequences of Generative AI: Early Evidence from Norway · Dennis Facius, R. Iacono · Fetched Jul 13, 2026
AI reshapes jobs and markets: it automates routine tasks while creating complementary roles, boosts productivity for firms that invest in complementary assets, and concentrates market power — producing net employment gains that are unevenly distributed and policy-sensitive.
medium review_meta Full text openalex
Artificial Intelligence and the Digital Economy: Impact on Employment, Productivity, and Market Structures · Dr. Snehal Mistry, Siddharth Thakkar · Fetched Jul 13, 2026
Enterprise AI adoption boosted output substantially after 2021 but had mixed labor effects: a 1 SD rise in occupational AI exposure increased output by roughly 7%, employment rose where AI augments human workers and was unchanged where AI can act independently, while the labor share fell.
medium quasi_experimental Summary semantic_scholar
AI, Output, and Employment · Andrew Johnston, Christos A. Makridis · Fetched Jul 13, 2026
U.S. productivity shows eight postwar cycles and signs of an 'AI phase' in which organisational frictions blunt AI's macroeconomic payoff. Micro gains from faster task execution and learning are offset by task expansion, multitasking and institutional misalignment, preventing those gains from raising aggregate productivity.
low descriptive Summary semantic_scholar
Analysis of labor productivity in the context of technological transformations · T. Martyn, V. Nitsenko, V. Kyrylenko, O. Tkachenko, Y. Stavska, O. Kulhanik · Fetched Jul 13, 2026
Edge vision-language models consume power at a near-constant rate, so energy costs scale with how much the model outputs rather than what it sees; trimming visual tokens can save only a few percent, whereas controlling output length can cut energy use by up to 97%.
high descriptive Full text arxiv
Seeing is Free, Speaking is Not: Uncovering the True Energy Bottleneck in Edge VLM Inference · Junfei Zhan, Haoxun Shen, Mingang Guo, Zixuan Huang, Tengjiao He · Jul 10, 2026
A shared, selective persistent memory for agentic LLMs substantially raises successful task completion while cutting token and runtime costs: selective memory hits 96% completion versus 79% (no memory) and 71% (full history), and a zero-token data-refresh mechanism yields a 14× reduction in task time and roughly 97× lower per-invocation token cost.
medium quasi_experimental Full text arxiv
Shared Selective Persistent Memory for Agentic LLM Systems · Sanjana Pedada, Aditya Dhavala, Neelraj Patil · Jul 10, 2026
Hybrid human–AI teams markedly improve performance: a cross-disciplinary review finds that allocating tasks to human or AI strengths can yield as much as 60% higher output and better decisions. Success depends less on raw AI power than on organizational practices—trust, explainability, task matching and continual learning are decisive.
medium review_meta Full text openalex
Human–AI Collaborative Systems for Workflow Optimization: A Hybrid Intelligence Framework for Enhancing Organizational Productivity and Decision Quality · Kuljeet Kaur · Jul 10, 2026
China's AI pilot zones are associated with roughly 6% lower urban carbon emissions on average, rising to an estimated 15.6% total abatement once spatial spillovers are included. Gains are concentrated in some coastal manufacturing hubs, while certain inland and resource-dependent regions show weak or marginally higher emissions, pointing to the need for region-specific AI governance.
medium quasi_experimental Full text openalex
The carbon reduction effect of China’s national AI innovation pilot zone policy · 劉南勳, Shuqing Wang, Yuanhong Peng · Jul 10, 2026
Renewables drive green growth across the G20 and AI magnifies that payoff: a long-run positive effect from renewable energy (coef ≈ 0.101) is strengthened by AI (RE×AI = 0.007), whereas high emissions blunt renewable gains (RE×CO2 = −0.041); AI alone shows only transient direct effects.
medium quasi_experimental Full text openalex
Asymmetric effects of renewable energy and artificial intelligence on green growth: evidence from G20 countries · Olfa ZARRAD, Maha Bouattour, Sourour Guidara, Kamel Helali · Jul 10, 2026
Generative AI boosts efficiency in routine, data-rich tasks but cannot reliably replace experience-based human judgment; organizations should adopt a five-part Human–AI Collaboration Framework to keep expertise and accountability central.
medium commentary Summary openalex
What AI Cannot Learn: A Cognitive Science Perspective on Human-Centered Strategic HRM · Daniel Altieri, Zohra Damani, Cynthia Nebel · Jul 10, 2026
AI and data feedback turn static firm resources into a continuously evolving source of competitive advantage, the paper argues. The proposed AICPA framework unifies strategic intelligence, platform orchestration and network effects to explain how AI-enabled firms dynamically strengthen market position over time.
n/a theoretical Full text openalex
Platform Ecosystems, Data-Driven Strategy, and Network Effects: Reimagining Competitive Positioning in the AI Era · Vir Ved Ratna · Jul 10, 2026
AI-powered strategic information systems improve firms' decision speed, customer engagement and supply-chain performance, but gains rely on leadership, infrastructure and governance; ethical, skill and cost barriers limit straightforward productivity wins.
medium review_meta Full text openalex
Artificial Intelligence-Aided Strategic Information System Tools for Competitive Position in the Market: A Systematic Review · Uchenna Nzenwata, Rabiu Ayantayo, Fiyinfolu Okadare, Samuel Owolabi · Jul 10, 2026
Deep AI use among S&P 500 firms surged from about 5% in 2022 to 11% in 2025, driven overwhelmingly by technology companies that account for two-thirds of deep adopters; adopters show a J‑shaped relationship with profitability but no clear change in capital spending or standard productivity measures.
medium correlational Full text arxiv
AI Adoption in S&P 500 Firms · Yang Yu, Martin Fleming, Lucy Hampton, Christophe Combemale, Neil Thompson · Jul 09, 2026
Access to generative AI during study boosts short-term learning by 0.27 SD and yields persistent gains after one week; improvements in writing quality emerge only once students write unaided and are largest for those who use AI to augment understanding rather than to automate drafting.
high rct Full text arxiv
Experimental Evidence on the Learning Impact of Generative AI · Zara Contractor, Germán Reyes · Jul 09, 2026
Workers whose AI agents can autonomously retrieve personal context gain a sharply amplified advantage: when users must manually attach documents, task-success probability collapses as knowledge corpora grow, creating a structural divide in AI usefulness and workplace outcomes.
n/a theoretical Full text openalex
The Context Access Divide: Interaction-Level Architecture as a Complementary Dimension of Agentic Inequality · Masahiro Fujita · Jul 09, 2026
Automated ball-strike calls dent the edge of star hitters in Korea: after ABS went live, high-status batters saw declines in on-base and walk-related metrics compared with lesser-known players, whereas pitchers showed no measurable change.
medium quasi_experimental Summary openalex
Technology adoption and bias in officiating: automated Ball-Strike System implementation in Korean Baseball · Jimin Song, Ji Hyuk Kang, Richard J. Paulsen · Jul 09, 2026
Clusters of digital industries working with AI-like technologies boost green productivity by correcting innovation-resource misallocation, but returns fade beyond a threshold and can spill negatively onto neighbouring advanced regions; broader regional knowledge strengthens the gains.
medium correlational Summary openalex
The Synergistic Effect of Digital Industry Agglomeration and Digital–Intelligent Technology on Green Productivity: An Internal–External Coordination Perspective on Innovation Resources · S Liu, Hongyu Hè · Jul 09, 2026
AI flags tax evasion reliably in digitally mature states but rarely translates into uniform fiscal gains; weak data, governance and skills blunt algorithmic effectiveness in developing countries, the review finds.
n/a review_meta Summary openalex
Artificial Intelligence in Tax Compliance and Evasion Mitigation: Trends, Mechanisms, and Institutional Implications · Houda Zaim, Siham Sahbani · Jul 09, 2026
AI coding agents change the dynamics of code review but do not unilaterally improve outcomes; whether agent-written code helps or harms depends on how teams structure and staff review, according to a large-scale analysis of GitHub activity and 3,100 coded practitioner discussions.
medium descriptive Full text arxiv
3100 Opinions on Code Review in an AI World: Building Causal Theory from Practitioner Discourse · Shyam Agarwal, Courtney Miller, Christian Kästner, Bogdan Vasilescu · Jul 08, 2026