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AI in hospitality can hit profits at first before boosting them later: firms face short-run adjustment costs but gain from differentiation and productivity over time, producing a U-shaped adoption–profit curve. Widespread robot acceptance needs favorable initial conditions and incentives, and household tourism demand is nonlinearly affected by women’s economic empowerment, with gender-equal households allocating spending most efficiently.
low theoretical openalex
MODELING HOSPITALITY AND TOURISM STRATEGIES · Di Zhu · Fetched Mar 10, 2026
Africa’s informality, institutional hybridity and resource constraints reshape supply‑chain theory and open up high‑value opportunities for AI economics research; IJOPM’s AfIn initiative aims to build local capacity and publish theory and empirical work leveraging these contexts.
n/a theoretical openalex
Continental shift: operations and supply chain management research from an African perspective · Essuman, D., Essien, A., Roehrich, J., Lam, H.K.S., Schleper, M., Blome, C. · Fetched Mar 10, 2026
Generative audiovisual AI could sharply cut the cost and time of content production, but unresolved data rights, governance gaps and authenticity concerns mean adoption and economic benefits are far from guaranteed; regulation, provenance systems and legal rulings will critically shape who captures value and whether society accepts synthetic media.
low review_meta openalex
Ethical and societal challenges to the adoption of generative AI in communication. · Bruno Caldas Vianna, Carles Sora, Josep Torrelló · Fetched Mar 10, 2026
Generative audiovisual AI promises large efficiency gains in content production but will be hampered — and reshaped — by legal, ethical and trust frictions across training data, deployment and output, concentrating advantage with data- and deployment-rich firms and creating new markets for provenance and verification.
n/a review_meta openalex
Ethical and societal challenges to the adoption of generative AI in communication. · Bruno Caldas Vianna, Carles Sora, Josep Torrelló · Fetched Mar 10, 2026
Rapid AI adoption risks a demand‑driven financial crisis: if AI replaces paid cognitive work faster than income is redistributed or new paid demand appears, falling labour income and compressed intermediary margins can set off a self‑reinforcing collapse in consumption and credit values.
low theoretical arxiv
Abundant Intelligence and Deficient Demand: A Macro-Financial Stress Test of Rapid AI Adoption · Xupeng Chen · Mar 10, 2026
Generative AI reshapes how architecture students think—prompt-led, iterative ‘algorithmic thinking’ speeds ideation but preserves human evaluative judgment, suggesting task-level complementarity rather than wholesale substitution.
low descriptive openalex
Human–AI Collaboration in Architectural Design Education: Towards a Conceptual Framework · Şerife Hikmet, Nazife Ozay · Mar 10, 2026
A game-theoretic framework quantifies when cyber deception pays: deception raises defender utility versus matched non-deceptive baselines but its value erodes as system observability increases, with closed-form break-even conditions and parameter regimes where simple heuristics nearly match optimum.
n/a theoretical openalex
Evaluating Synthetic Cyber Deception Strategies Under Uncertainty via Game Theory Approach: Linking Information Leakage and Game Outcomes in Cyber Deception · Mohammad Shahin, Mazdak Maghanaki, Fengshan Frank Chen · Mar 10, 2026
Large language models can stand in for human subjects in low-stakes pilots and robustness checks, but their behavioral fidelity is inconsistent and error-prone; researchers should treat synthetic participants as heuristic supplements—not substitutes—and adopt standardized evaluation and ethical safeguards.
medium review_meta openalex
Synthetic Participants Generated by Large Language Models: A Systematic Literature Review · Eduard Kuric, Peter Demcak, Matus Krajcovic · Mar 10, 2026
AI tools are rapidly pushing biomedicine toward faster, cheaper discovery: ensemble and deep‑learning models deliver parsimonious diagnostics, cross‑study cross‑omics prediction, and prognostic signatures that can cut reliance on animal models and shorten R&D timelines. If these models survive larger prospective validation and regulatory review, economic value will concentrate in curated data assets, validated models, and supporting validation/compliance services, reshaping firm incentives, skills demand, and infrastructure investment.
medium review_meta openalex
Editorial: Integrating machine learning and AI in biological research: unraveling complexities and driving advancements · Bindu Nanduri, Inimary Toby-Ogundeji · Mar 10, 2026
AI upskilling helps keep stressed pharmaceutical workers on the job but doesn't immediately boost their performance; firms that deploy AI-guided training report smaller stress-related turnover even though stress still undermines output.
low correlational openalex
AI-driven stress management and performance optimization: A framework for employee retention in the IR 5.0 era · Devaraju, Amit Subramanyam · Mar 10, 2026
Short, introductory AI courses for clinicians improve confidence, attitudes and basic skills but leave clinical workflows and patient outcomes unchanged; most programs are brief, academic, and aimed at students or early‑career clinicians, limiting their likely productivity payoff.
medium review_meta openalex
Assessing the effectiveness of artificial intelligence education and training for healthcare workers: a systematic review · Leanna Woods, Kayley Lyons, Anton van der Vegt, Quita Olsen, Wenyao Huang, Johns... · Mar 10, 2026
Perceived consumer value drives value-based pricing, but academic research finds no mature digital model to convert that value into algorithmic prices. Studies document growing AI adoption in pricing yet reveal fragmented evidence, methodological limits and unaddressed ethical and governance risks.
n/a review_meta openalex
Pricing Strategy in Digital Marketing: A Systematic Review of the Value-Based Approach · Octaviani Putri Dita Arumsari, Vidya Damayanti, Rizki Amalia Utami, Titis Shinta... · Mar 10, 2026
Recommender-system methods could make social robots far more consistently personalised and ethically constrained, promising higher user welfare and new monetisation paths; however, the claim is a design proposal that still needs real-world trials to quantify welfare, labor, and market effects.
n/a theoretical openalex
Reimagining Social Robots as Recommender Systems: Foundations, Framework, and Applications · Jin Huang, Fethiye Irmak Doğan, Hatice Güneş · Mar 10, 2026
AI-driven personalization combined with credible sustainability messaging can boost tourist demand by strengthening digital trust and destination image. The paper offers ten testable propositions and an empirical agenda—SEM, experiments, and platform-data analyses—to quantify how algorithmic design and sustainability narratives reshape visitation and market outcomes.
n/a theoretical openalex
Sustainable Marketing Framework for Strengthening Consumer Trust and Visit Intention in Kebumen Tourism · Heri Nurranto, Usep Suhud, Setyo Ferry Wibowo · Mar 10, 2026
FinTech and alternative finance are widening access to capital for Indian MSMEs and startups by offering faster, more flexible, data‑driven credit, but bring privacy, regulatory and concentration risks that require hybrid bank–FinTech solutions and stronger governance.
medium descriptive openalex
Traditional vs. contemporary financing models for MSMEs and startups: A comparative study · J. Madegowda · Mar 10, 2026
A three‑layer security architecture for virtual reality—combining hardware integrity, privacy‑preserving data practices and socio‑behavioral protections—could become a competitive differentiator that raises entry costs and shifts the value of behavioral data toward privacy‑focused services. Without standards or regulation, platforms face weak incentives to invest, so certification and interoperable rules will determine whether safety is a market advantage or a costly compliance burden.
n/a review_meta openalex
Securing Virtual Reality: Threat Models, Vulnerabilities, and Defense Strategies · Andrija Bernik, Igor Tomičić, Petra Grd · Mar 10, 2026
Student access to AI is undermining traditional standardized tests, turning assessment into a policy problem that mixes education and economics. Nations should pivot to formative and performance‑based evaluations and impose data, training and audit standards to prevent widening inequality and commercial capture of student data.
low descriptive openalex
The Future of Assessment: Rethinking Evaluation in an AI-Assisted Learning Environment · Minghui Gu · Mar 10, 2026
Allowing ChatGPT on knowledge-based coursework improves short-term student performance in several classes, with more interactive use linked to modestly higher scores; students value speed and organization but warn of inaccuracies and overreliance, prompting calls for explicit AI-literacy instruction.
medium rct openalex
Expanding the lens: multi-institutional evidence on student use of ChatGPT in higher education · Miguel Á. Conde, Rocío García-Pascual, Francisco J. Rodríguez-Sedano, Jesús-Ánge... · Mar 10, 2026
Industrial robots raised manufacturing productivity across many advanced economies in the 1990s–2000s while not producing large net job losses at the industry level. The evidence suggests robot adoption boosted value added per worker rather than wholesale employment displacement in manufacturing.
medium quasi_experimental openalex
Social Protection and Youth · M. Caridad Araujo, Sarah Baird, Saini Das, Berk Özler, Luca Parisotto, Tassew Wo... · Mar 10, 2026
AI's economic power comes from making prediction cheap, not from replacing judgment; as prediction costs fall, firms reorganize tasks and decision-making—boosting productivity where human judgment complements prediction, while putting prediction-heavy tasks at risk.
n/a theoretical openalex
Pensions in Low- and Middle-Income Countries · Nicholas Barr, Mariano Bosch · Mar 10, 2026
Industrial robots suppressed employment and wages in exposed U.S. localities: regions with higher industry-level robot adoption experienced measurable declines in manufacturing employment and average wages, disproportionately hitting workers in more robot-exposed occupations.
medium quasi_experimental openalex
The Rise of Social Safety Nets and Social Insurance in the West: Implications for Developing Countries · Anna Aizer, Price Fishback, Adriana Lleras-Muney, Tauhidur Rahman · Mar 10, 2026
Gender fundamentally alters who benefits from social protection in low- and middle-income countries, so policy tools — including AI systems used for targeting, monitoring and evaluation — must be designed with gender-disaggregated data, causal methods for subgroup effects, and governance safeguards to prevent reinforcing existing inequalities.
medium review_meta openalex
Social Protection and Gender: Policy, Practice, and Research · Melissa Hidrobo, Amber Peterman, Neha Kumar, Monica Lambon-Quayefio, Shalini Roy... · Mar 10, 2026
A new 'Symbolic-Cognitive Friction' metric aims to quantify the cultural and cognitive costs that leave AI projects stranded as perpetual pilots in SMEs; the author provides a proposed 30-item scale, an index and a mixed-methods validation plan together with practical checklists to diagnose and reduce those barriers.
n/a theoretical openalex
A FRICÇÃO PSICOANTROPOLÓGICA (SCF - Symbolic-Cognitive Friction) NA INOVAÇÃO DAS PMES: MENSURANDO O CUSTO CULTURAL E A RESISTÊNCIA COGNITIVA À INTELIGÊNCIA ARTIFICIAL E À GERAÇÃO DE VALOR SOCIOECONÔMICO · Silas Serpa · Mar 10, 2026
Generative search engines give inconsistent and heavy‑tailed citation visibility: identical queries return varying domains and citation counts follow a power law, so single‑run snapshots overstate precision; repeated sampling and confidence intervals reveal much apparent concentration is sampling noise.
medium descriptive arxiv
Quantifying Uncertainty in AI Visibility: A Statistical Framework for Generative Search Measurement · Ronald Sielinski · Mar 09, 2026
Uncertain leak risks deter consumers from AI personalization: when data-leak probabilities are presented as a range, adoption falls markedly, but a stated 30% risk does not reduce uptake; users willingly overpay for privacy-disclosure labels, signaling high demand for transparent risk information.
high rct arxiv
The Data-Dollars Tradeoff: Privacy Harms vs. Economic Risk in Personalized AI Adoption · Alexander Erlei, Tahir Abbas, Kilian Bizer, Ujwal Gadiraju · Mar 09, 2026