Digital infrastructure construction and urban industrial chain resilience: Evidence from the “Broadband China” strategy

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106228 - 106228

Published: Feb. 1, 2025

Language: Английский

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Unlocking sustainable performance in the health-care sector: the dynamic nexus of artificial intelligence, green innovation and green knowledge sharing

Society and Business Review, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 18, 2025

Purpose This study, using stakeholder theory and diffusion of innovations (DOIs), aims to examine the readiness Omani health-care firms adopt artificial intelligence (AI). adoption is seen as a key step towards ensuring green innovation sustainable performance (SP) in sector. Design/methodology/approach study adopted convenience referral sampling techniques enhance response rate for limited number AI. Using explanatory research design, structure equation modelling employees unit analysis, random sample technique used distribute structured questionnaire five hospitals North Al-Batinah, including Shinas, Liwa Sohar cities. Smart PLS 4.1 analyses responses. Findings The demonstrates that AI could significantly SP, finding utmost importance current landscape. also tested knowledge sharing boundary condition. Furthermore, study’s findings indicate leads emergence suggesting are willing achieve development goals (SDGs). Practical implications implies stakeholders, Government Middle Eastern firms, should prioritize investments technologies tailored sustainability initiatives. Originality/value makes three significant unique contributions. Firstly, it uniquely integrates DOIs theories explain mediating function moderating effect sharing. Secondly, provides context, where government’s focus on health sector crucial. Finally, this outlines clear actionable pathway East SDGs, thereby enlightening reader potential

Language: Английский

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X-minute cities as a growing notion of sustainable urbanism: A literature review

Cities, Journal Year: 2025, Volume and Issue: 161, P. 105902 - 105902

Published: March 27, 2025

Language: Английский

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Unlocking Artificial Intelligence Adoption in Local Governments: Best Practice Lessons from Real-World Implementations

Smart Cities, Journal Year: 2024, Volume and Issue: 7(4), P. 1576 - 1625

Published: June 28, 2024

In an era marked by rapid technological progress, the pivotal role of Artificial Intelligence (AI) is increasingly evident across various sectors, including local governments. These governmental bodies are progressively leveraging AI technologies to enhance service delivery their communities, ranging from simple task automation more complex engineering endeavours. As governments adopt AI, it imperative understand functions, implications, and consequences these advanced technologies. Despite growing importance this domain, a significant gap persists within scholarly discourse. This study aims bridge void exploring applications context government provision. Through inquiry, seeks generate best practice lessons for smart city initiatives. By conducting comprehensive review grey literature, we analysed 262 real-world implementations 170 worldwide. The findings underscore several key points: (a) there has been consistent upward trajectory in adoption over last decade; (b) China, US, UK at forefront adoption; (c) among technologies, natural language processing robotic process emerge as most prevalent ones; (d) primarily deploy 28 distinct services; (e) information management, back-office work, transportation traffic management leading domains terms adoption. enriches existing body knowledge providing overview current sphere governance. It offers valuable insights policymakers decision-makers considering adoption, expansion, or refinement urban Additionally, highlights using guide successful integration optimisation future projects, ensuring they meet evolving needs communities.

Language: Английский

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Enhancing Space Management through Digital Twin: A Case Study of the Lazio Region Headquarters

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(17), P. 7463 - 7463

Published: Aug. 23, 2024

Digital Twin is becoming an increasingly powerful resource in the field of building production, replacing traditional processes Architecture, Engineering, Construction and Operations sector. This study concerned with development a DT, enabled by Building Information Modeling, artificial intelligence, machine learning, Internet Things to implement space management strategies. It proposes application case for Lazio Region headquarters, which has partly adopted smart working typology post-COVID-19. The aim create accurate digital replica based on BIM, integrated real-time data. will help improve use space, resources, quality services provided community. also improves energy efficiency, reducing consumption 530.40 MWh per year greenhouse gas emissions 641.32 tons CO2 year. research holistic framework implementation innovative solutions context public infrastructure through technology, facilitating promotion efficiency sustainability decision-making operational methodology.

Language: Английский

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Developing Blueprints for Robust Regional Bioeconomy Strategies: The Case of Western Macedonia

Land, Journal Year: 2025, Volume and Issue: 14(2), P. 418 - 418

Published: Feb. 17, 2025

The development of the bioeconomy in European Union is promoted through various policies. In Greece, however, there a paucity research on issues and policies at both national regional levels. This study systematically examines feasibility developing blueprint within context geographically isolated mountainous region. By employing an integrated strategic framework combining sustainable resource management, innovation participatory governance, proposed emphasizes transition from conventional, unsustainable economic practices to contemporary paradigm underpinned by tenets circular economy utilization local resources. A central tenet enhancement collaborative endeavors among stakeholders, academic institutions, business entities, with overarching objective being promotion cutting-edge technologies diversification Concurrently, emphasis placed necessity establish conducive policies, regulatory frameworks, financial mechanisms that will facilitate industries mitigate environmental impact. text importance human resources educational training programs, ensuring adaptability demands emerging bioeconomy. concludes that, despite inherent difficulties arising geographical isolation limited access resources, region has potential for development. region’s capacity contingent upon implementation suitable strategies mobilization investment, which be instrumental establishment robust environmentally model.

Language: Английский

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AI in business operations: driving urban growth and societal sustainability

Frontiers in Artificial Intelligence, Journal Year: 2025, Volume and Issue: 8

Published: March 24, 2025

Approximately 30% of smart city applications will use artificial intelligence (AI) by the end 2025, thereby radically altering urban sustainability landscape in future (Yan et al., 2023). The advent AI reshaping traditional businesses into sustainable operations is evident. Whenever brought to forefront, it considered a cornerstone business domain, enabling transition towards more innovative and practices (Appio 2024). Incorporating has many facets. According Grand View Research (2023), global market size was anticipated at USD 196.63 billion 2023 expected grow CAGR 36.6% from 2024 2030. recent fanfare surrounding elevated key enabler development, prompting companies prioritize integrate their operations; hence, there stark difference between new practices. In tandem with this evolution, growth societal dynamics are experiencing profound changes as AI-driven solutions come fore various aspects modern society (Shahidi Hamedani government, transforming conventional cities efficient ones (Ortega-Fernández 2020), have significantly shifted functional systems intelligent ones. Furthermore, another perspective, role optimizing processes surpassed comparison its implication for improving logistics operational capabilities reducing environmental impacts (Jorzik 2024a) till manufacturing reduces downtime, all which contribute economics. meantime, speedy pace adoption operations, also imperative amalgamate Acting on matter requires thoughtful approach that aligns social, economic, sustainability.The intersection recently gained widespread attention. Some studies (Chen 2024;Shahzadi 2024)focused AI's supply chain management, highlighting minimizing inefficiencies utilizing often;supply chains become leaner reduced carbon footprints, paving path operations. It estimated 2026, 60% adopt AI-powered warehouse instead just 10% 2020 (MHI, 2024).In line shift, (Dilmegani & Ermut, 2025) note invest heavily robots enhance management through technology. Robots can manage efficiently accurately automating picking, packing, sorting, inventory thus saving labor costs accelerating order processing. Amazon, instance, deployed than 200,000 warehouses optimize operations.AI be used resource utilization, automate improved efficiency, enable real-time monitoring goals (Waltersmann 2021). As focuses waste enhancing traceability, technologies such machine learning big data analytics been pivotal achieving these goals. (Tsolakis 2023) Companies like eBay leverage translation, decision-making efficiency . Similarly, Vodafone employs personalize services, exemplifying transformative impact. 2024a).These help reduce forecasting errors, minimize excess inventory, lower energy consumption. (Sharma 2020) Likewise, Smart grid protection sensors detect defects up 80% sensors, losses system's reliability adjusting conditions dynamically (Mahadik, Sheetal 2025). These economic fostering technological innovation. leverages advanced techniques deep reinforcement (DRL) dynamic (Shuford, DRL improves adaptive routing optimization, demand logistics; DRL, researchers develop adapt changes, facilitate multi-objective (Dehaybe addition, enables prevent equipment failures streamlining workflows (Mohan Moreover, centers, advancements catalyze foster other words, contribution development allocation, ensuring resilient economically prosperous (Li developing cities, impact urbanization trends. Through application AI, infrastructure optimized transportation, managing housing needs; makes possible traffic congestion advance mobility transportation systems, prescriptive autonomous vehicles (Regona Singapore, manages monitors consumption, setting benchmarks (Padhiary On similar note, Tennet TSO, German transmission system operator, AI-based IBM Watson's cognitive computing platform anticipate renewable generation real time, allowing adjustments maximizing clean use. 3Nowadays, debatable topic, inevitable. Reducing food print, circular economy sprout assists environment (Onyeaka 2023); example, agriculture industry, automation, prediction model total agricultural output value (Sachithra Subhashini, 2023), yields while apparent regarding implications IoT due ability improve sustainability. Agriculture leads way 35% technologies, followed precision farming irrigation 16% each.Farming becoming smarter innovations, increase yields, waste, conserve resources (Market.Us, 2024).Similarly, distribution, lowering footprints (Bhattacharya 2022). increasingly automated, consumption minimized aligned (Garrido 2024).By placing heart sustainability, industries solving social issues. shift linear circular, innovative, models (Pathan paradigm contributes aspects; site surveying progress monitoring, power drones decision-making, green finance sector cultivation harvesting phases (Fuentes-Peñailillo While crucial implementing brings several challenges, including ethical privacy concerns (Fan 2023).In planning infrastructure, notable examples; using knowledge acquired level potential revolutionize over solutions, welfare, vitality (Herath Mittal, AI-enabled hospitality provide personalized services seamless guest experiences (Szpilko 2023).Similarly, healthcare predict diseases rapidly (Rashid Kausik, For PRAIM study Germany assessed AI-supported mammography screening versus standard double reading. Out 463,094 women screened, 260,739 were assisted AI. With screening, 6.7 cancers detected out 1,000, 17.6% higher screening. (Eisemann Policies needed protect individual settings solve (Dong Liu, gain momentum but present significant security concerns. Data an urgent concern (Saura Acknowledging consequences, particularly when shifting employment patterns consumer behaviors, important (Yu rise automation displaced jobs created AIspecialized workers (Betts 2024).AI's personalizing underscores responsibility mitigate algorithmic biases, maintaining public trust equity. Governments must work together implement reskilling programs seamlessly AIdriven world. Ethical concerns, digital divide, underscore need transparent inclusive (Bouhouita-Guermech challenges amplified areas, where disparities access marginalize vulnerable populations. issues solved only collaborative efforts design prioritizing wellbeing inclusiveness.Several exist, integration issues, literacy resistance change, availability, reliance (Uwaoma industries, getting actionable time-consuming costly. result, cannot produce satisfactory results without robust data, undermining complicated Ensuring equal technology addressed so benefits sectors society. Additionally, within organizations utmost importance. Many resist change lack understanding, making difficult them future.Moreover, (availability quality) remains hurdle accessing opaque 2024b); training DRL's models, quality datasets critical, contexts both sparse expensive collect (Saliba 2020).On hand, concern; according Choudhuri, 30 % unreliable or poor quality; having said that, incomplete fail any method analysis affect process words data-especially high-quality data-sustainable doomed falter. A further equitable since marginalized communities often face barriers taking advantage developments (Kasun highlighted here highlight balanced deployment.Without prospects adopting bleak. However, Sustainable demands involvement government sector.Governments establish policies regulations promote transparency collaboration ensure transfer private sector. kind cooperation facilitating responsibly addressing broader goals.The advancement however, hindered limitations, unwillingness difficulty integrating pre-existing HR (Madanchian Taherdoost, hampered algorithms common sense interpret properly, resulting flawed decisions (Nishant clinicians' negatively impacted (Dratsch prescribing antidepressants, clinicians less accurate following incorrect recommendations compared baseline correct advice condition (Jacobs high cost resource-intensive reach broad audience (Sommer organizational creates barrier HRM employees reluctant about security, privacy, job (Hassan 2024).Businesses witnessing driver growth, profoundly sectors. context implemented scheduling livable development. means resources, inefficiencies, embrace practices, tackle full realized if align clearly defined targets. Achieving strategic not technical tool generating short-term benefits.Policymakers reliable fairly equitably fosters range would beneficial create same time.As becomes integral presents opportunities challenges. costs; McKinsey ( 2022), reported engines 15% competitive position 50% workforce tasks. policymakers planners creating innovations thrive inclusively overstated. Integrating balancing considerations. powerful force stakeholders atmosphere, address barriers, transparency. businesses, societies, benefit. By examining manner, article introduces fresh perspective literature because comprehensively covered current literature. valuable synthesize existing trends strong foundation understanding business.

Language: Английский

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Mapping AI’s role in supporting or hindering the achievement of SDGs: A systematic review for AI in government

Open Research Europe, Journal Year: 2025, Volume and Issue: 5, P. 101 - 101

Published: April 10, 2025

Governments are increasingly adopting Artificial Intelligence (AI) to enhance decision-making, public services, and infrastructure. However, the rapid integration of AI into government systems presents both opportunities challenges. The United Nations has highlighted AI’s dual role in advancing potentially hindering progress toward Sustainable Development Goals (SDGs). Despite this recognition, a significant research gap remains understanding specific impact adoption by governments on SDG achievement. This study addresses that through systematic analysis whether supports or hinders SDGs. Using PRISMA framework, we conducted review 73 studies. Our findings highlight transformative potential while emphasizing need for develop deliberate strategies mitigate disparities ensure alignment with broader societal objectives. contributes evolving discourse governance its implications sustainable development.

Language: Английский

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Artificial Intelligence and/or Machine Learning Algorithms in Microalgae Bioprocesses

Bioengineering, Journal Year: 2024, Volume and Issue: 11(11), P. 1143 - 1143

Published: Nov. 13, 2024

This review examines the increasing application of artificial intelligence (AI) and/or machine learning (ML) in microalgae processes, focusing on their ability to improve production efficiency, yield, and process control. AI/ML technologies are used various aspects such as real-time monitoring, species identification, optimization growth conditions, harvesting, purification bioproducts. Commonly employed ML algorithms, including support vector (SVM), genetic algorithm (GA), decision tree (DT), random forest (RF), neural network (ANN), deep (DL), each have unique strengths but also present challenges, computational demands, overfitting, transparency. Despite these hurdles, shown significant improvements system performance, scalability, resource well cutting costs, minimizing downtime, reducing environmental impact. However, broader implementations face obstacles, data availability, model complexity, scalability issues, cybersecurity threats, regulatory challenges. To address solutions, use simulation-based data, modular designs, adaptive models, been proposed. contributes literature by offering a thorough analysis practical applications, benefits critical insights into this fast-evolving field.

Language: Английский

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Towards Responsible Urban Geospatial AI: Insights From the White and Grey Literatures

Journal of Geovisualization and Spatial Analysis, Journal Year: 2024, Volume and Issue: 8(2)

Published: June 26, 2024

Abstract Artificial intelligence (AI) has increasingly been integrated into various domains, significantly impacting geospatial applications. Machine learning (ML) and computer vision (CV) are critical in urban decision-making. However, AI implementation faces unique challenges. Academic literature on responsible largely focuses general principles, with limited emphasis the domain. This important gap scholarly work could hinder effective integration Our study employs a multi-method approach, including systematic academic review, word frequency analysis insights from grey literature, to examine potential challenges propose strategies for (GeoAI) integration. We identify range of practices relevant complexities using planning its implementation. The review provides comprehensive actionable framework adoption domain, offering roadmap researchers practitioners. It highlights ways optimise benefits while minimising negative consequences, contributing sustainability equity.

Language: Английский

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