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A hybrid cloud finance stack combining SaaS, PaaS and blockchain cut invoice and reconciliation cycle times by 87.5% and improved compliance efficiency by 40% in EPC pilot deployments, while AI analytics boosted cash-flow visibility—though the results come from limited, non-randomized pilots and require careful validation at scale.
low quasi_experimental openalex
Developing Cloud-Based Financial Solutions for The Engineering, Procurement and Construction (EPC) Industry · Manjunath Rallabandi · Mar 09, 2026
Higher-education AI readiness is highly uneven: limited hands-on training, patchy institutional policies and poor infrastructure—particularly in the Global South—leave many students and educators underprepared for AI-enabled labor markets.
low descriptive openalex
Exploring Student and Educator Challenges in AI Competency Development: A Comparative Analysis · Xin Zhao, Fengchun Miao, Haoyu Xie, Xuanning Chen · Mar 09, 2026
Most evidence links digital transformation, including AI, to productivity gains: about 78% of 145 studies report positive effects, but inconsistent definitions and largely non‑causal designs mean the true size and distribution of gains remain uncertain.
medium review_meta openalex
Digital transformation and its relationship with work productivity: a systematic review of the literature · Bryan Smith Contreras-Yupanqui · Mar 09, 2026
Firms adopt generative-AI CRM when they trust its functionality and task benefits, while information shortfalls and a preference for human contact slow uptake; neural-network analysis ranks perceived usefulness as the top predictor of trust and information barriers as the top predictor of inertia.
medium correlational openalex
Reimagining Stakeholder Engagement Through Generative AI: A Flexible Management Perspective on CRM Transformation · Atul Kumar, Amit Shankar, Abhishek Behl · Mar 09, 2026
Digital twins can deliver large productivity and sustainability gains in advanced construction pilots but those wins are not yet industry‑wide; scaling value will depend on interoperability standards, new contracting and data‑governance arrangements, and investment in skills and delivery models.
medium review_meta openalex
Digital Twins Across the Asset Lifecycle: Technical, Organisational, Economic, and Regulatory Challenges · Kangxing Dong, Taofeeq Durojaye Moshood · Mar 09, 2026
AI agritech can substantially boost smallholder outcomes—raising yields by double‑digit percentages and cutting input costs—but gains are uneven and hinge on connectivity, local skills and supportive regulation.
medium review_meta openalex
A systematic review of the economic impact of artificial intelligence on agricultural productivity, sustainability, and rural livelihoods · Adewale Isaac Olutumise · Mar 09, 2026
China's digital expansion first raises and then lowers per-capita city emissions while hurting then improving emission efficiency; meaningful carbon cuts materialize only once green-technology innovation crosses a critical threshold, implying digitalization must be sequenced with innovation policy to deliver low-carbon outcomes.
medium correlational openalex
Digital Economy, Green Technology Innovation and Urban Carbon Emissions: Evidence from Chinese Cities · Ran Wu, Shimao Su, Jiyun Hou, Xiaole Wang · Mar 09, 2026
Digital trade boosts Chinese city house prices, and cities with stronger AI ecosystems see larger gains; greater trade openness dampens the local price impact, though AI helps non‑coastal and lower‑income cities capture more of the digital‑trade upside.
low correlational openalex
Is digital trade affecting city house prices? An artificial intelligence perspective · HuiYing Yang, Xiaohuan Hou · Mar 09, 2026
Wider deployment of industrial robots across Chinese provinces cut industrial wastewater emissions between 2013 and 2022, largely by stimulating green patents and higher R&D/technical spending; the environmental gains are biggest where finance is deep and policy explicitly backs automation and green development.
medium quasi_experimental openalex
Can Industrial Robotization Drive Sustainable Industrial Wastewater Governance in Developing Regions? Empirical Evidence from China · Yushan Qiu, Xin Yang, Shijiao Huang, Congxian He · Mar 09, 2026
AI models such as AlphaFold and RoseTTAFold deliver near‑experimental protein structures at scale, dramatically cutting time and cost for early‑stage drug and enzyme R&D; but accuracy gaps for complexes, heavy compute needs, and dependence on proprietary data risk concentrating value among well‑resourced firms.
low review_meta openalex
Protein structure prediction powered by artificial intelligence: from biochemical foundations to practical applications · Tianxiang Yin, Yunxuan Chen, Yuhang Wang, Hui Su, C. Duan, Jingrui Liu · Mar 09, 2026
Autonomous ‘agentic’ AI can cut time and costs in administrative and monitoring tasks across ageing health systems, but its value depends far more on payment rules, regulation and interoperable data than on algorithmic prowess; claims that agentic systems will materially ease ageing-driven fiscal strain remain unproven.
medium review_meta openalex
Agentic AI for Ageing Healthcare Systems in Advanced Economies: A Structured Review of Evidence, Institutional Barriers, and a Sociotechnical Implementation Roadmap · Rachel Wei Gee Ooi, Baskar Periasamy · Mar 09, 2026
Faculty conversations on major higher-education Reddit forums show AI reshaping assessment, labor and governance rather than just adding a new tool; universities face a choice between surveillance-heavy enforcement and equity-focused pedagogical redesign, with important implications for workloads, credential value and student fairness.
low descriptive openalex
A Critical AI Media Literacy Perspective on the Future of Higher Education with Artificial Intelligence Through Communities of Practice on Reddit · Olivia G. Stewart · Mar 09, 2026
Machine learning for workplace mental health is still mostly a lab exercise: researchers prioritize algorithmic novelty over domain-driven, causal, or deployment studies. Without interdisciplinary co‑design and randomized or quasi‑experimental evaluation linking predictions to wages, absenteeism and productivity, ML’s economic value for workplaces will remain unproven.
n/a review_meta openalex
Machine learning in the analysis of mental health at work: a scoping review · Pekka Varje, Ari Väänänen, Olli Haavisto, Ilkka Kivimäki, Simo Taimela, Tiina Ka... · Mar 09, 2026
Construction supply-chain failures cluster by position: brokers bear relational and contract breakdowns while peripheral suppliers absorb external shocks; targeting predictive analytics at central coordinators and simple traceability tools at peripheral nodes maximises network resilience.
low descriptive openalex
Social-Network Analytics of Construction Supply Chain · Mohammad Hossein Heydari, Alireza Shojaei, Philip Agee, Andrew P. McCoy · Mar 09, 2026
Code generators boost output far faster than review and testing can keep up, creating a subtle but systemic risk as developers implicitly accept plausible machine output under time pressure; the Overton Framework prescribes built-in 'cognitive interlocks'—mandatory proof artifacts, enforced testing gates and provenance—to realign incentives and contain long-run fragility.
low theoretical openalex
Overton Framework v1.0: Cognitive Interlocks for Integrity in AI-Assisted Software Development · K Overton · Mar 08, 2026
AI augments rather than replaces management: algorithms reshape decision-making and organizational structures, but firms capture value only when AI is paired with managerial judgment, data quality and supportive organizational systems.
n/a descriptive openalex
Modern Management in the Age of Artificial Intelligence: Structures, Systems and Decision-Making · Pratibha Singh, Mukul Bhatnagar, Dr. Preeti Bala Tripthi, Dr Brototi Banerji Mis... · Mar 08, 2026
Blending AI and precision agriculture with ecological practices and inclusive finance can substantially boost smallholder yields and resource efficiency; the gains, however, hinge on finance, data governance and public support to ensure broad, equitable adoption.
medium review_meta openalex
MODERN APPROACHES TO SUSTAINABLE AGRICULTURAL TRANSFORMATION · P.Axmedov · Mar 08, 2026
Combining AI, precision tech and agroecology can materially boost smallholder yields and cut waste, but widespread gains hinge on coordinated public action to address costs, infrastructure, finance and data governance; without such policies benefits risk being uneven and captured by platform providers.
medium review_meta openalex
MODERN APPROACHES TO SUSTAINABLE AGRICULTURAL TRANSFORMATION · P.Axmedov · Mar 08, 2026
AI-driven code generation outpaces human verification, creating a mounting fragility as unchecked machine outputs accumulate defects; embedding policy-enforced verification gates and 'cognitive interlocks' in development toolchains (the Overton Framework) aims to realign throughput with trustworthy verification.
n/a theoretical openalex
Overton Framework v1.0: Cognitive Interlocks for Integrity in AI-Assisted Software Development · K Overton · Mar 08, 2026
Autonomous AI agents can save small e-commerce operators hundreds of hours annually by automating routine pricing, inventory and monitoring tasks; however, real-world benefits are limited by model reliability, integration complexity and the need for structured human oversight.
low descriptive openalex
Artificial Intelligence Agents in Knowledge Work: Transforming Productivity, Operations, and Decision-Making · Vivaan Shringi · Mar 08, 2026
Autonomous AI agents can shave hundreds of labor-hours a year from small e-commerce firms by automating pricing, inventory and monitoring tasks, but implementation frictions — governance, model reliability and tool orchestration — substantially constrain net productivity gains.
medium descriptive openalex
Artificial Intelligence Agents in Knowledge Work: Transforming Productivity, Operations, and Decision-Making · Vivaan Shringi · Mar 08, 2026
Prompt fraud turns conversational AI into an inexpensive fraud factory: attackers and insiders can coax authoritative-looking fake reports and explanations from LLMs without hacking systems, outflanking standard IT and audit controls; firms must adopt prompt provenance, monitoring, and specialized human oversight or face higher fraud, compliance and insurance costs.
low commentary openalex
Prompt Engineering or Prompt Fraud? Governance Challenges for Audit · Karishma Velisetty · Mar 08, 2026
A governed hyperautomation architecture lets firms scale automation across ERP and CRM systems while preserving compliance and operational stability; however, the pattern is supported by practitioner case examples rather than quantitative proof of productivity or labor impacts.
low descriptive openalex
Governed Hyperautomation for CRM and ERP: A Reference Pattern for Safe Low-Code, RPA, and Generative AI at Enterprise Scale · Siva Prasad Sunkara · Mar 08, 2026
Prompt fraud — deliberately crafting or injecting language inputs to make generative AI produce false or evasive documents — creates a novel, non‑technical fraud channel that evades traditional controls. Firms must invest in governance, provenance, monitoring and new audit capabilities or risk offsetting GenAI productivity gains with higher fraud losses, insurance costs and compliance burdens.
n/a descriptive openalex
Prompt Engineering or Prompt Fraud? Governance Challenges for Audit · Karishma Velisetty · Mar 08, 2026
A governed hyperautomation pattern—integrating low-code, RPA, generative AI and a central policy engine—lets firms scale mission-critical automation while containing data, compliance and operational risks. Embedding automated enforcement, role-based approvals and continuous monitoring reduces governance blind spots that otherwise slow adoption or produce costly incidents.
low descriptive openalex
Governed Hyperautomation for CRM and ERP: A Reference Pattern for Safe Low-Code, RPA, and Generative AI at Enterprise Scale · Siva Prasad Sunkara · Mar 08, 2026