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Banks that chase volume risk unprofitable growth; integrating historical customer-profitability with predictive analytics and real-time profitability simulation can reorient acquisition toward higher-value customers, though the proposal is conceptual and only illustrated across two national banks.
low descriptive Full text openalex
Developing an Integrated Historical and Predictive Customer Profitability Model for Customer Acquisition in the Banking Industry · Rudianto Suryo Binantoro, Syamsul Ma’arif, Linda Karlina Sari, Zenal Asikin · Aug 28, 2026
AI tools can keep accountants productive while dulling judgment: a three-wave survey of accounting professionals finds that AI-related work pressure breeds both resilience that preserves efficiency and affective numbing that reduces ethical vigilance and professional skepticism, while greater AI autonomy and supervisor support are associated with healthier adaptation.
medium correlational Full text openalex
The numb efficiency paradox: AI work pressure, affective numbing, and professional judgment in organizationally digitally mediated work · Shiyao Yin, Wenxuan Hu, Zirong Tian, Yifan Zhang · Aug 28, 2026
Firms that deploy AI show stronger green supply-chain practices, driven partly by boosted green innovation, ESG performance and operational efficiency; the effect is strongest in state-owned and high-disclosure firms and in heavily polluting industries.
medium correlational Full text openalex
How Artificial Intelligence Empowers Green Supply Chain Management: From the Perspective of Firm Internal Capabilities · Enlu Jiang, Qian Cheng, Haoqing Jiang · Aug 28, 2026
Mechanical, analytical and intuitive AI tools reshape hotel work and improve the experience of vulnerable and minority staff, while empathetic AI has little effect on task structure; multiple combinations of AI capabilities deliver benefits when matched to task demands, underscoring the primacy of task–technology fit.
medium correlational Summary openalex
How Is AI Transforming the Task Characteristics and the Experience of Vulnerable and Minority Employees in the Hospitality Sector? · Deepak Bangwal, Shobha Maindola, Rupesh Kumar, Pankaj Chamola, Sarbjit Singh Obe... · Aug 28, 2026
Transformer models that read board networks sharply improve prediction of corporate distress and fraud—AUC rises roughly 12–18 points for distress and 22–28 points for fraud versus conventional baselines; attention analysis highlights independent boards, audit committee expertise and director centrality as resilience signals. The paper pairs these predictive gains with DiD, neural propensity weighting, panel VAR and IVs to support causal claims, but key identification diagnostics and sample details are insufficiently reported.
medium quasi_experimental Full text openalex
Deep Learning for Corporate Governance: Predicting Financial Distress and Fraud Using Transformer-Based Models on Board Networks · Muhammad Usman Malik, Maarij Ahmed Siddiqui, Sohail Naseer, Muhammad Aqeel, Nohe... · Aug 28, 2026
AI is reshaping innovation itself: by lowering search and experimentation costs and creating new human–machine complements, AI changes where and how firms innovate and reorganize, with broad implications for productivity and adoption.
n/a review_meta Summary openalex
Knowledge graph–based data governance for small and medium-sized enterprises: A systematic literature review and socio-technical framework · Bushra Al Sulayyim, Madhushi Bandara, Asif Gill, Ghassan Baydoun · Aug 28, 2026
Leaders who pair emotional and digital smarts improve intergenerational communication, engagement and uptake of collaboration technologies, supporting adaptability in digitally enabled workplaces; however, the available evidence is mostly associative, uneven across contexts and lacks long-term causal proof.
low review_meta Summary openalex
Double edged synergy: How can emotional intelligence and digital intelligence transform the management of multigenerational workforces? Insights from a strategic review · Tom Ongesa Nyamboga · Aug 28, 2026
Firms with verifiable ESG performance earn valuation premiums while those with ESG controversies face discounts; the premium grows in countries with more advanced FinTech ecosystems, which appear to help markets distinguish genuine ESG from greenwashing, especially in ESG-sensitive industries.
medium correlational Summary openalex
Balancing Sustainability and Digitalization: How Country FinTech Rank Moderates the ESG –Firm Value Relationship Amid Controversies · Amira Tarek Ibrahim Metwally, Sandra Ibrahim Mikhael Ibrahim · Aug 28, 2026
Journalistic authority is not purely a newsroom product but a governed outcome: editorial judgment, platform algorithms and regulatory rules jointly shape what citizens see, trust and can hold to account, creating a 'Contested Epistemic Space' with tangible implications for platform economics and policy.
n/a theoretical Summary openalex
Epistemic governance in journalism: Editorial, algorithmic, and regulatory logics in a contested epistemic space · Aina Errando · Aug 28, 2026
Indian IT recruiters are adopting AI tools such as automated screening, chatbots and predictive analytics to speed hiring and scale sourcing, but benefits are offset by integration headaches, data-privacy worries and skill gaps; firms at different stages of digital HR maturity experience distinct trade-offs.
low descriptive Full text openalex
AI-driven talent acquisition in Indian IT firms: A qualitative study of automation, impacts, and skill requirements · Urmila Jagadeeswari Itam, Nidhi Shukla, Mercy Toni, K. R. Kesavan, Ar. Keerti Mi... · Aug 28, 2026
AI automates routine tasks and lifts productivity but redistributes rewards: skilled, complementary workers gain pay while routine and low-skill roles face displacement and wage pressure, causing modest short-run job losses and uneven regional gains.
medium review_meta Summary openalex
Synergy Paradigm: Reimagining Innovation through Interdisciplinary Collaboration · Iskilu Abayomi Akintola · Aug 28, 2026
AI is reshaping innovation itself: by lowering search and experimentation costs and creating new human–machine complements, AI changes where and how firms innovate and reorganize, with broad implications for productivity and adoption.
n/a review_meta Summary openalex
Is competition good or bad for employee innovation? Examining the double-edged sword effect of team and individual responses · Qingjin Lin, Lyuqi He · Aug 28, 2026
Digital visibility boosts recognition but breeds performative labor: monitoring tools can raise measured activity while encouraging simulated engagement that undermines genuine belonging and raises turnover, so firms should design algorithmic systems to value relational outcomes alongside efficiency.
n/a theoretical Summary openalex
The Digital Visibility‐Belonging Paradox: Digital Cohesion and Control in Contemporary Organizational Management · Miles M. Yang, Richard A. Hunt, Fang Lee Cooke, Ying Lu · Aug 28, 2026
Merging Twitter-derived signals with Google Trends sharply improves apparel demand forecasts: a VECM using both inputs ranks first across 77 attribute-level series and cuts RMSE dramatically versus a univariate baseline, while Twitter and search provide complementary — not redundant — information.
medium correlational Summary openalex
Forecasting Fashion Sales With Social Media Signals: Insights From Amazon, Twitter, and Google Trends · Olena Rudna, Alex Rudniy, Arim Park · Aug 28, 2026
When acquiring becomes politically costly, incumbents increasingly hollow startups instead: license-and-hire ‘absorption’ emerges as a distinct quasi-acquisition that internalizes tacit AI capability without formal takeover. The model shows no single sourcing route dominates universally—outcomes hinge on contractibility, timing of a dominant design, and how much incumbents’ legacy products are exposed to substitution.
medium theoretical Full text openalex
Crossing into AI: When Incumbents Build, Partner, Acquire, Absorb, or Wait A History-Friendly Agent-Based Model of the Generative-AI Market Transition · Yingzheng Liu, Shun Cao, Zhen Liu · Aug 28, 2026
Stronger funder mandates and international teams push authors toward permissive Creative Commons licences in top hybrid journals, but high‑prestige journals and the medical field more often keep restrictive terms, constraining reusable scholarly material for AI training.
medium correlational Summary openalex
Determinants of researchers’ copyright licensing behavior in open access · Byoung-Goon An · Aug 28, 2026
The neoliberal playbook for global education is fraying: platform power, datafication and geopolitical and cultural shifts undermine transnational policy convergence and demand new, political-economy-informed approaches to AI in education. Economists should model platform governance, data as an economic asset, and distributional effects rather than relying on narrow efficiency narratives.
n/a theoretical Summary openalex
Reading the Global and the Emerging Challenges Facing Comparative Education · Jason Beech, Fazal Rizvi · Aug 28, 2026
Generative and agentic AI are widening wage gaps by concentrating gains with AI‑skilled workers and hollowing out middle‑skilled cognitive jobs. Carefully designed redistribution (UBI, data dividends), human‑centric AI, and robust governance can blunt the worst distributional effects if policies are empirically calibrated.
medium review_meta Summary openalex
Technological Polarization and Unequal Growth in the Era of Generative Artificial Intelligence · Kyra Mahindru · Aug 28, 2026
Real digital investments by industry peers spur firm growth in China, but mere announcements do not; substantive capital and IT spending — not signaling — drive competitive gains, with effects varying by industry and market structure.
medium correlational Summary openalex
Impact of Substantial and Symbolic Peer Competition in Digital Transformation on Firm Growth: Evidence From China's Listed Companies · Sutong Zeng, Xinyao Xu, Fei Xu, DuanMing Zhou · Aug 28, 2026
Separating an AI agent’s persona from its execution lets organizations evolve instructions and presentation freely while preserving auditable, traceable actions; the Persona–Execution Separation pattern is supported by a single pilot and architectural comparisons but lacks production-scale validation.
low descriptive Full text arxiv
Persona-Execution Separation: An Architecture Pattern for Evolving LLM Agents under Execution Audit · Yisen Xi · Aug 27, 2026
Frontier LLMs can already write competitive operations-research algorithms: with one untuned prompt and modest sandboxed compute, the top model matches or beats the best-known methods on most benchmark instances — though results are limited to well-specified problems and may partly reflect the models' training data.
high descriptive Full text arxiv
LLMs Can Design Near-Optimal OR Algorithms · Jackie Baek · Aug 27, 2026
Hiding lightweight online learners inside LLM round-trips lets a semantic-SQL engine cut expensive LLM calls roughly eightfold in realistic workloads (11.4× under independence). The production Cortex AISQL case study shows per-call selectivity learning and per-batch calibrated routing compose multiplicatively to substantially lower token and latency costs.
medium descriptive Full text arxiv
Compositional Online Learning for Semantic Data Processing Systems · Paweł Liskowski, Fuheng Zhao, Benjamin Han, Anupam Datta, Dimitris Tsirogiannis · Aug 27, 2026
A new corporate resilience metric repurposes national-level indicators to judge how companies shape society’s capacity to absorb and adapt to harms from agentic AI; an illustrative audit of Microsoft’s public materials shows how the approach can be operationalized but stops short of validating real-world effects.
low descriptive Full text arxiv
Assessing Company Contributions to Societal Resilience: Extending the Societal Capacity Assessment Framework to Agentic AI · Catherine Simons, Alexander K. Saeri, Peter Slattery, Neil Thompson · Aug 27, 2026
Professional-looking dashboards persuade LLM agents to act on unknowable futures: across 12 models adding an (even fabricated) market panel lifts commitment from ~6.5% to ~54%; a 540-case fine-tune of a 3B model can eliminate such false confidence but the safeguard breaks under subtle prompt or format changes.
high quasi_experimental Full text arxiv
Calibrated Enough to Know, Not Calibrated to Act: Fabricated Evidence Makes LLM Agents Commit to the Unknowable · Pranav Aggarwal · Aug 27, 2026
Singular-value decompositions of the nonparametric two-way regression kernel produce eigenfunction-based proxies that identify unit and time fixed effects: injectivity holds almost everywhere under mild nondegeneracy and holds uniformly (for a finite truncation) under a local full-rank/immersion condition, enabling identification of the regression function at the realised types.
n/a theoretical Full text arxiv
Nonparametric Identification of Two-Way Unobserved Heterogeneity · Hugo Freeman, Dennis Kristensen · Aug 27, 2026