Study on artificial intelligence: The state of the art and future prospects

Journal of Industrial Information Integration, Journal Year: 2021, Volume and Issue: 23, P. 100224 - 100224

Published: May 8, 2021

Language: Английский

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Opportunities and Adoption Challenges of AI in the Construction Industry: A PRISMA Review

Journal of Open Innovation Technology Market and Complexity, Journal Year: 2022, Volume and Issue: 8(1), P. 45 - 45

Published: March 1, 2022

Artificial intelligence (AI) is a powerful technology with range of capabilities, which are beginning to become apparent in all industries nowadays. The increased popularity AI the construction industry, however, rather limited comparison other industry sectors. Moreover, despite being hot topic built environment research, there review studies that investigate reasons for low-level adoption industry. This study aims reduce this gap by identifying challenges AI, along opportunities offered, To achieve aim, adopts systematic literature approach using PRISMA protocol. In addition, focuses on planning, design, and stages project lifecycle. results reveal (a) particularly beneficial planning stage as success projects depends accurate events, risks, cost forecasting; (b) major opportunity adopting time spent repetitive tasks big data analytics improving work processes; (c) biggest challenge incorporate site fragmented nature has resulted issues acquisition retention. findings inform parties operate concerning adaptability help increase market acceptance practices.

Language: Английский

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The Culture for Open Innovation Dynamics

Sustainability, Journal Year: 2020, Volume and Issue: 12(12), P. 5076 - 5076

Published: June 22, 2020

Culture, in its various forms, has always been a critical driver of innovation. This paper focuses on generating some insights into the role “culture for open innovation dynamics”. First, because requirement to understand culture, which can control complexity, augmented, we want answer following research question this study: How define or organize dynamics”, motivate dynamics, and complexity? Second, propose concept model culture dynamics by reviewing literature firms terms their traits, organization, static innovation, dynamic aspects regarding entrepreneurship, validate said through an indirect social experiment using results 23 Special Issue papers. Third, is explained as interaction between three different entrepreneurship dimensions: Entrepreneurship novice entrepreneurs, intrapreneurship employees existing firm, organizational firm itself. According balance sub-entrepreneurship types, have aspects, namely, leading dynamics. helps organizations entrepreneurs better that plays boosting

Language: Английский

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Artificial Intelligence in the Industry 4.0, and Its Impact on Poverty, Innovation, Infrastructure Development, and the Sustainable Development Goals: Lessons from Emerging Economies?

Sustainability, Journal Year: 2021, Volume and Issue: 13(11), P. 5788 - 5788

Published: May 21, 2021

Artificial intelligence in the fourth industrial revolution is beginning to live up its promises of delivering real value necessitated by availability relevant data, computational ability, and algorithms. Therefore, this study sought investigate influence artificial on attainment Sustainable Development Goals with a direct focus poverty reduction, goal one, industry, innovation, infrastructure development 9, emerging economies. Using content analysis, result pointed fact that has strong particularly improvement certainty reliability like transport making economic growth possible The results revealed reduction through improving collection poverty-related data maps, revolutionizing agriculture education finance sector financial inclusion. also discovered AI assisting lot education, allowing previously excluded individuals be able participate mainstream economy. it important governments economies need invest more use increase research related so (SDGs) development, are attained.

Language: Английский

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Smarter eco-cities and their leading-edge artificial intelligence of things solutions for environmental sustainability: A comprehensive systematic review

Environmental Science and Ecotechnology, Journal Year: 2023, Volume and Issue: 19, P. 100330 - 100330

Published: Oct. 19, 2023

The recent advancements made in the realms of Artificial Intelligence (AI) and Things (AIoT) have unveiled transformative prospects opportunities to enhance optimize environmental performance efficiency smart cities. These strides have, turn, impacted eco-cities, catalyzing ongoing improvements driving solutions address complex challenges. This aligns with visionary concept smarter an emerging paradigm urbanism characterized by seamless integration advanced technologies strategies. However, there remains a significant gap thoroughly understanding this new intricate spectrum its multifaceted underlying dimensions. To bridge gap, study provides comprehensive systematic review burgeoning landscape eco-cities their leading-edge AI AIoT for sustainability. ensure thoroughness, employs unified evidence synthesis framework integrating aggregative, configurative, narrative approaches. At core lie these subsequent research inquiries: What are foundational underpinnings how do they intricately interrelate, particularly paradigms, solutions, data-driven technologies? key drivers enablers propelling materialization eco-cities? primary that can be harnessed development In what ways contribute fostering sustainability practices, potential benefits offer challenges barriers arise implementation findings significantly deepen broaden our both sustainable urban as well formidable nature pose. Beyond theoretical enrichment, invaluable insights perspectives poised empower policymakers, practitioners, researchers advance eco-urbanism AI- AIoT-driven urbanism. Through insightful exploration contemporary identification successfully applied stakeholders gain necessary groundwork making well-informed decisions, implementing effective strategies, designing policies prioritize well-being.

Language: Английский

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The Sustainability of Artificial Intelligence: An Urbanistic Viewpoint from the Lens of Smart and Sustainable Cities

Sustainability, Journal Year: 2020, Volume and Issue: 12(20), P. 8548 - 8548

Published: Oct. 15, 2020

The popularity and application of artificial intelligence (AI) are increasing rapidly all around the world—where, in simple terms, AI is a technology which mimics behaviors commonly associated with human intelligence. Today, various applications being used areas ranging from marketing to banking finance, agriculture healthcare security, space exploration robotics transport, chatbots creativity manufacturing. More recently, have also started become an integral part many urban services. Urban intelligences manage transport systems cities, run restaurants shops where every day urbanity expressed, repair infrastructure, govern multiple domains such as traffic, air quality monitoring, garbage collection, energy. In age uncertainty complexity that upon us, adoption expected continue, so its impact on sustainability our cities. This viewpoint explores questions lens smart sustainable generates insights into emerging potential symbiosis between urbanism. terms methodology, this deploys thorough review current status cities literature, research, developments, trends, applications. doing, it contributes existing academic debates fields AI. addition, by shedding light uptake seeks help policymakers, planners, citizens make informed decisions about

Language: Английский

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Urban Artificial Intelligence: From Automation to Autonomy in the Smart City

Frontiers in Sustainable Cities, Journal Year: 2020, Volume and Issue: 2

Published: July 30, 2020

Technological innovation is constantly reshaping the materiality and mechanics of alleged smart cities. Recently, in artificial intelligence (AI) shape self-driving cars, robots city brains, has been pushing so-called to morph into an autonomous urban creature which largely unknown. In this emerging strand urbanism, artificially intelligent entities are taking management services as well governance out hands humans, operating manner. This paper explores, theory practice, how development AI intersects with city. The contribution threefold. First, advances a theoretical framework understand specifically contexts, developing concept intelligence. Second, it examines case Masdar City, Emirati experiment, show genesis intelligences part long-standing process technological politico-economic agenda together enabling transition from automation autonomy. Third, proposes research investigate what terms

Language: Английский

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Individual Predictors of Autonomous Vehicle Public Acceptance and Intention to Use: A Systematic Review of the Literature

Journal of Open Innovation Technology Market and Complexity, Journal Year: 2020, Volume and Issue: 6(4), P. 106 - 106

Published: Oct. 9, 2020

Fully autonomous vehicles (AV) would potentially be one of the most disruptive technologies our time. The extent prospective benefits AVs is strongly linked to how widely they will accepted and adopted. Monitoring tracking individuals' reactions intentions use are critical. current study aims explore classify individual predictors (i.e., influential factors or determinants) public acceptance of, intention AVs, by conducting a systematic literature review developing conceptual framework map out that shape attitudes towards which influence user adoption preferences. This contains key identified in review—i.e., demographic, psychological, mobility behavior characteristics. findings disclose perceptions vary significantly among different socio-demographic cohorts. Commuters value aspects concerning their on adoption. Thus, direct experience with along education communication helpful change people's positive way. informs urban transport policymakers, managers, planners, helps planning for healthy AV process minimal societal disruption.

Language: Английский

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Motivations, barriers and risks of smart home adoption: From systematic literature review to conceptual framework

Energy Research & Social Science, Journal Year: 2021, Volume and Issue: 80, P. 102211 - 102211

Published: July 23, 2021

Language: Английский

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Algorithmic urban planning for smart and sustainable development: Systematic review of the literature

Sustainable Cities and Society, Journal Year: 2023, Volume and Issue: 94, P. 104562 - 104562

Published: March 29, 2023

In recent years, artificial intelligence (AI) has been increasingly put into use to address cities' economic, social, environmental, and governance challenges. Thanks its advanced capabilities, AI is set become one of local governments' principal means achieving smart sustainable development. utilisation for urban planning, nonetheless, a relatively understudied area research, particularly in terms the gap between theory practice. This study presents comprehensive review areas planning which technologies are contemplated or applied, it analysed how support could potentially Regarding methodological approach, this systematic literature following PRISMA protocol. The obtained insights include: (a) Early adopters' real-world applications paving way wider government adoption; (b) Achieving adoption involves collaboration partnership key stakeholders; (c) Big data an integral element effective and; (d) Convergence human crucial urbanisation issues adequately achieve These highlight importance making smarter through analytical methods.

Language: Английский

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