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Medicaid’s buying power can be harnessed to cut healthcare emissions and promote equity by embedding ESG criteria into procurement; Section 1115 waiver pilots and NHS Net Zero offer practical templates, but meaningful deployment will hinge on data systems, algorithmic governance and support for smaller suppliers.
n/a theoretical openalex
Greening the Medicaid Supply Chain: An ESG-Integrated Framework for Value-Based Procurement Anchored in Stakeholder Theory and the Triple Bottom Line · Helen Ayodimeji Alaba · Mar 11, 2026
Explainable-AI applied to HR records finds overtime, travel and promotion gaps drive resignations more than pay; simulation suggests eliminating overtime could cut predicted attrition by about 17% and retain roughly 31 staff in the analyzed dataset, outperforming modest salary hikes.
low correlational openalex
Explainable AI for Employee Retention in Green Human Resource Management: Integrating Prediction, Interpretation, and Policy Simulation · Dinh Cuong Nguyen, Dan Tenney, Elif Kongar · Mar 11, 2026
AI diffusion appears linked to reduced work intentions among low-educated pre-retirement workers in high-adoption regions, while men and the highly educated are more willing to keep working; household financial pressure further suppresses employment intent, implying the need for targeted retraining and social supports.
low correlational openalex
Analysis of the Impact of Artificial Intelligence on Middle-Aged Workers' Employment Willingness: Based on the Context of Delayed Retirement · Ming Fu · Mar 11, 2026
A shift to genuinely multi-hazard, multi-risk disaster management is both practicable and worthwhile, but meaningful uptake needs coordinated progress on methods, usable tools, equity, local coproduction and early-career capacity. Without standardized concepts, stronger spatio-temporal evidence, and operationally tested decision-support systems, benefits will remain patchy and context-dependent.
n/a review_meta openalex
Reducing risk together: moving towards a more holistic approach to multi-hazard and multi-risk assessment and management · Philip J. Ward, Sophie Buijs, Roxana Ciurean, Judith Claassen, James Daniell, Ke... · Mar 11, 2026
Quantum computing could substantially raise productivity in simulation- and optimization-heavy sectors, but gains will likely concentrate among early, well-resourced adopters and depend on coordinated investments and policy; without complementary infrastructure, workforce development, and governance, broad economy-wide benefits may be delayed or unevenly distributed.
low theoretical openalex
Modeling Macroeconomic Output Gains from Quantum-Driven Productivity: Scenario-Based Forecasts · Kaan Mert Cenkci · Mar 11, 2026
Academic research has barely touched NLP for bank marketing: only 8 of 109 peer‑reviewed studies directly examine it, and the literature clusters on retention rather than acquisition, personalization or external-data integration—pointing to large unrealised economic and managerial opportunities.
n/a review_meta openalex
Natural language processing in bank marketing: a systematic review and strategic gap analysis · Christopher Gerling, Stefan Lessmann · Mar 11, 2026
Automation and AI are tilting production toward technological capital, shrinking labour’s share and eroding payroll‑based revenues; policymakers must rethink tax bases and pension designs or face mounting fiscal and social strain.
medium quasi_experimental semantic_scholar
The Macroeconomic Transition of Technological Capital in the Age of Automation · Vladimir Mici, Ina Shehu, Armelina Lila, V. Hoxha, F. Bombaj · Fetched Mar 10, 2026
AI that automates tasks in India’s gig economy often destroys whole jobs rather than simply substituting tasks, because insecure contracts, opaque algorithms and weak social protections prevent workers from reallocating; reskilling alone will not suffice — policy must combine training with job protections, income supports and reforms to platform practices.
low review_meta semantic_scholar
Who Loses to Automation? AI-Driven Labour Displacement and the Limits of Reskilling Policies in Platform-Based Informal Work in India · Anagha Ramteke, G. Hari · Fetched Mar 10, 2026
AI is shifting work from routine middle‑skill jobs toward high‑skill and AI‑complementary roles, widening wage dispersion and reshaping employment patterns; the scale and equity of these effects depend heavily on education, social protections and deployment choices.
medium review_meta semantic_scholar
Intelligence and Labor Market Transformation: A Critical Analysis of Skill-Biased Technological Change, Task Displacement, and Economic Inequality in the Age of Generative AI · Hemanth Poothera Appaiah · Fetched Mar 10, 2026
Russian universities and alternative training channels supply less than half of the country's estimated AI personnel needs—covering only 43.9%—with large leakages from admission to employment. A small subset of institutions disproportionately place graduates into AI roles and secure higher wages, implying policy gains from targeting high-performing programs and strengthening university–industry links.
medium descriptive semantic_scholar
Employment og Graduates of Educational Programs in the Field of Artificial Intelligence · А. О. Averyanov, V. Gurtov, I. Stepus · Fetched Mar 10, 2026
A skills-focused simulation suggests AI’s technical reach in the U.S. labor market is far larger and more geographically widespread than visible adoption indicates: current AI capabilities overlap with about 11.7% of U.S. wages (~$1.2tn), compared with roughly 2.2% (~$211bn) reflected in present adoption concentrated in tech hubs.
low descriptive semantic_scholar
The Iceberg Index: Measuring Workforce Exposure in the AI Economy · Ayush Chopra, Santanu Bhattacharya, DeAndrea Salvador, Ayan Paul, Teddy Wright, ... · Fetched Mar 10, 2026
AI reshapes labor in two directions: it automates routine, lower-skilled work while augmenting and expanding higher-skill and hybrid roles, widening skills polarization and regional divides but also creating productivity and entrepreneurship opportunities; policy must combine targeted reskilling, infrastructure investment, and social protections to manage distributional risks.
medium review_meta semantic_scholar
The Impact of AI Machine Learning on Human Labor in the Workplace: A Systematic Review of Emerging Trends, Challenges, and Opportunities · Vusi S. Mncube · Fetched Mar 10, 2026
AI and other new digital skills are appearing in roughly one in ten vacancies in advanced economies and pay a clear wage premium. Yet their spread is linked to sharper labor-market polarization—helping high-skilled workers while hollowing out middle-skilled roles and reducing employment in AI‑exposed occupations with low worker complementarity, with young workers hit especially hard.
medium correlational semantic_scholar
Bridging Skill Gaps for the Future · Florence Jaumotte, Jaden Kim, David Koll, Elmer Li, Longji Li, Giovanni Melina, ... · Fetched Mar 10, 2026
AI's aggregate effect on jobs so far has been modest — no mass unemployment — but its gains are uneven: productivity rises concentrate with skilled workers while routine and low-skill roles face displacement, heightening labor-market polarization and calls for targeted upskilling and policy support.
medium review_meta semantic_scholar
The role of generative artificial intelligence on labor market: literature review · A. Zhanabay, R. K. Yelshibayev, R. Islam · Fetched Mar 10, 2026
AI-driven e-commerce and robotic fulfillment boost seller productivity, expand SME market access and regional activity, and reshape jobs rather than simply eliminate them; realizing these gains depends on competition, data governance and active reskilling policies.
medium quasi_experimental semantic_scholar
Artificial Intelligence–Enabled E-Commerce Systems and Automated Warehousing: Economic Effects from Amazon FBA in the U.S. Market · Malay Sarkar · Fetched Mar 10, 2026
A vertically integrated sectors (VIS) accounting method that allocates upstream embodied labor produces substantially different—and arguably more comprehensive—labor productivity estimates for U.S. industrial and electric power subsystems than standard direct-only measures, with important implications for measuring the economy-wide effects of AI and other technologies.
medium descriptive semantic_scholar
Measuring labor productivity dynamics in U.S. industrial and electric power sectors: a case study (2014–2023) · Nahuel Guaita, Silvio Guaita, Mauricio Tano, Eliezer A. Reyes Molina · Fetched Mar 10, 2026
Non-wage employer costs in Latin America average over half of formal wages and formalizing informal workers is on average 88% more expensive than paying informal wages, raising the effective cost of formal employment; these high and rising costs heighten firms' incentives to substitute labor with capital — including automation and AI — especially where automation is technically feasible.
medium descriptive semantic_scholar
Salaried Labor Costs in Latin America and the Caribbean: A Ten - Year Update · Verónica Alaimo, Álvaro Altamirano Montoya, Auri Melissa Minaya · Fetched Mar 10, 2026
Integrated whole-process service models more than double land-productivity gains compared with piecemeal outsourcing for Chinese grain farms (coefficients: 0.486 vs. 0.214), with the largest benefits in major grain-producing and hilly regions driven by eased labor constraints and scale-offsetting effects.
medium quasi_experimental semantic_scholar
Whole-Process Agricultural Production Chain Management and Land Productivity: Evidence from Rural China · Qilin Liu, Guangcai Xu, Jing Gong, Junhong Chen · Fetched Mar 10, 2026
China's rural digitalization measurably raised agricultural green productivity between 2012 and 2022, with infrastructure-driven gains strengthening after a connectivity threshold while digital services show diminishing marginal returns; benefits concentrate in eastern and non-grain-producing provinces.
medium quasi_experimental semantic_scholar
Digital rural development and agricultural green total factor productivity: evidence from China · Zhiqiang Zhang, Qunzhao Deng, Haijiao Du, Wei Yu, Wanyi Li · Fetched Mar 10, 2026
A rights‑based 'white‑box' protocol would require Mexican fintechs to make credit and financial algorithms transparent, auditable and non‑discriminatory to protect citizens' digital sovereignty and financial inclusion. While these rules aim to curb bias and strengthen oversight, they risk raising compliance costs and favoring incumbents unless paired with sandboxes, shared datasets and capacity support.
low review_meta openalex
Diego Saucedo Portillo Sauceport Research · Diego Saucedo Portillo · Fetched Mar 10, 2026
A Mexican legal blueprint would make 'Digital Sovereignty' a constitutional right and require 'white‑box' audits for credit algorithms, enforcing transparency and anti‑discrimination in fintech. The measures are likely to favour well‑capitalised incumbents and spawn a certification/audit industry, while risking higher short‑run lending costs and barriers for small providers unless offset by proportional rules or sandboxes.
low theoretical openalex
Diego Saucedo Portillo Sauceport Research · Diego Saucedo Portillo · Fetched Mar 10, 2026
Firms that adopt advanced AI record average labor productivity gains of 5–12% within a few years, but the benefits disproportionately accrue to high-income countries (8–12%) while emerging economies see smaller gains (2–6%) and larger short-term losses in routine jobs; outcomes hinge on digital infrastructure, skills and regulation.
medium review_meta openalex
S-TCO: A Sustainable Teacher Context Ontology for Educational Support Systems · Nader N. Nashed · Fetched Mar 10, 2026
Security-as-a-Service makes it cheaper and faster for firms to run AI in the cloud, widening access especially for smaller companies. But outsourcing security concentrates risk and market power among major providers and raises liability, privacy and competition issues that could distort incentives for AI investment.
low review_meta openalex
Security- as- a- service: enhancing cloud security through managed security solutions · Zainab S. Attarbashi, Azana Hafizah Mohd Aman, Salem Sati, Nur-Adib Maspo, Aisha... · Fetched Mar 10, 2026
Only about half of CHI papers that publish data and code are fully reproducible: missing or poorly documented data, non-runnable analysis, and environment mismatches are the main culprits. The authors urge mandatory executable artifacts, environment capture (containers), clear documentation and incentives to raise reproducibility and strengthen empirical credibility.
medium review_meta openalex
On the Computational Reproducibility of Human-Computer Interaction · Olga Iarygina, Kasper Anders Søren Hornbæk, Aske ; id_orcid 0000-0003-1827-8513 ... · Fetched Mar 10, 2026
Industrial robots have trimmed jobs and pay in the US: regions more exposed to robot adoption experienced significant declines in employment and modest wage losses, consistent across robustness checks and instrumental-variable specifications.
high quasi_experimental openalex
Scaffolded Vulnerability: Chatbot-Mediated Reciprocal Self-Disclosure and Need-Supportive Interaction in Couples · Zhuoqun Jiang, ShunYi Yeo, Dorien Herremans, Simon T. Perrault · Fetched Mar 10, 2026