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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Artificial intelligence and machine learning applications in the project lifecycle of the construction industry: A comprehensive review

Heliyon, Journal Year: 2024, Volume and Issue: 10(5), P. e26888 - e26888

Published: Feb. 24, 2024

The construction industry faces many challenges, including schedule and cost overruns, productivity constraints, workforce shortages. Compared to other sectors, it lags in digitalization every project phase. Artificial Intelligence (AI) Machine Learning (ML) have emerged as transformative technologies revolutionizing the sector. However, a discernible gap persists systematically categorizing applications of these throughout various phases life cycle. In response this gap, research aims present thorough assessment deployment AI ML across diverse projects, with ultimate goal furnishing valuable insights for effective integration intelligent systems within A literature review was performed identify building After scrutinizing literature, were presented based on critical existing showed that are more frequent planning stages. Moreover, opportunities stages discussed cycle categorization study. practical contribution study lies providing Academically, contributes by conducting review, cycle, identifying their different

Language: Английский

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AI-ENABLED CUSTOMER EXPERIENCE ENHANCEMENT IN BUSINESS

Computer Science & IT Research Journal, Journal Year: 2024, Volume and Issue: 5(2), P. 365 - 389

Published: Feb. 14, 2024

This scholarly investigation delves into the transformative impact of Artificial Intelligence (AI) on enhancing customer experience in business realm. The study's purpose was to meticulously examine integration, evolution, and strategic implications AI operations, particularly engagement. A comprehensive literature review detailed case study analysis constituted core methodology, focusing peer-reviewed articles practical examples from diverse sectors. approach facilitated a multi-dimensional exploration, capturing both technological advancements associated implementation challenges within various contexts. Central findings this research underscore AI's evolution an emerging tool fundamental component customer-centric strategies. capabilities personalizing interactions, automating support systems, leveraging predictive analytics have revolutionized business-customer dynamics. However, is not without its challenges, including data privacy concerns, ethical considerations, need for skilled expertise. concludes that asset, necessitating thoughtful integration models. It emphasizes importance collaborative approach, where specialists industry experts work synergistically tailor solutions specific needs. Ethical considerations maintaining trust are highlighted as pivotal deployment recommends continuous innovation, investment infrastructure talent, adherence practices. These measures essential businesses enhance experiences drive sustainable growth digital age Keywords: Intelligence, Customer Experience, Business Strategy, Integration, Considerations.

Language: Английский

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Corporate digital responsibility (CDR) in construction engineering—ethical guidelines for the application of digital transformation and artificial intelligence (AI) in user practice

SN Applied Sciences, Journal Year: 2021, Volume and Issue: 3(10)

Published: Sept. 9, 2021

Abstract Digitization is developing fast and has become a powerful tool for digital planning, construction operations, instance twins. Now the right time constructive approaches to apply ethics-by-design in order develop implement safe efficient artificial intelligence (AI) application. So far, no study addressed key research question: Where can corporate responsibility (CDR) be allocated, how shall an adequate ethical framework designed support innovations make full use of potentials digitization AI? Therefore, on best practices meet their transformation process requirements EU trustworthy AI its human-friendly essential. Its bears high potential companies, critical success thus, requires responsible handling. This generates data by conducting case studies interviewing experts as part qualitative method win profound insights into applied practice. It provides assessment demands stated Sustainable Development Goals United Nations (SDGs), White Papers international institutions, European Commission German Government requesting consideration protection values fundamental rights, careful demarcation between machine (artificial) human such technologies. The discusses impacts engineering from perspective. critically evaluates opportunities risks concerning CDR industry. To author’s knowledge, set out investigate could conceptualized, especially relation AI, mitigate both large, medium- small-sized companies. applies holistic, interdisciplinary, inclusive approach provide guidelines orientation examine benefits well AI. Furthermore, goal define principles which are success, resource-cost-time efficiency sustainability using technologies enhance transformation. concludes that innovative organizations starting new business models more likely succeed than those dominated conservative, traditional attitude.

Language: Английский

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Artificial Intelligent Technologies for the Construction Industry: How Are They Perceived and Utilized in Australia?

Journal of Open Innovation Technology Market and Complexity, Journal Year: 2022, Volume and Issue: 8(1), P. 16 - 16

Published: Jan. 10, 2022

Artificial intelligence (AI) is a powerful technology that can be utilized throughout construction project lifecycle. Transition to incorporate AI technologies in the industry has been delayed due lack of know-how and research. There also knowledge gap regarding how public perceives technologies, their areas application, prospects, constraints industry. This study aims explore adoption prospects Australian by analyzing social media data. adopted analytics, along with sentiment content analyses Twitter messages (n = 7906), as methodological approach. The results revealed that: (a) robotics, internet-of-things, machine learning are most popular Australia; (b) sentiments toward mostly positive, whilst some negative perceptions exist; (c) there distinctive views on opportunities among states/territories; (d) timesaving, innovation, digitalization common prospects; (e) risk, security data, capabilities constraints. first findings inform adoption. In addition, it advocates search for finding efficient means utilize technologies. helps factored

Language: Английский

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Investigating the Role of Artificial Intelligence Technologies in the Construction Industry Using a Delphi-ANP-TOPSIS Hybrid MCDM Concept under a Fuzzy Environment

Sustainability, Journal Year: 2023, Volume and Issue: 15(15), P. 11848 - 11848

Published: Aug. 1, 2023

The construction business is always changing, and with the introduction of artificial intelligence (AI) technology it undergoing substantial modifications in a variety areas. purpose this research paper to investigate function AI tools industry using hybrid multi-criteria decision-making (MCDM) framework based on Delphi method, analytic network process (ANP), Technique for Order Preference by Similarity Ideal Solution (TOPSIS) under fuzzy scenario. ANP offers systematic approach quantifying relative importance technologies expert opinions gathered during process, whereas TOPSIS methodology used rank select most appropriate industry. final results from revealed that technological factors are crucial, followed environmental factors, which highly influence environment. In addition, identified robotics automation as best alternative among three options, building information modeling (BIM), computer vision was least preferred list. proposed MCDM enables comprehensive evaluation selection takes into account interdependencies between uncertainties decision-making.

Language: Английский

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A Systematic Review of the Applications of AI in a Sustainable Building’s Lifecycle

Buildings, Journal Year: 2024, Volume and Issue: 14(7), P. 2137 - 2137

Published: July 11, 2024

Buildings significantly contribute to global energy consumption and greenhouse gas emissions. This systematic literature review explores the potential of artificial intelegence (AI) enhance sustainability throughout a building’s lifecycle. The identifies AI technologies applicable sustainable building practices, examines their influence, analyses implementation challenges. findings reveal AI’s capabilities in optimising efficiency, enabling predictive maintenance, aiding design simulation. Advanced machine learning algorithms facilitate data-driven analysis, while digital twins provide real-time insights for decision-making. also barriers adoption, including cost concerns, data security risks, While offers innovative solutions optimisation environmentally conscious addressing technical practical challenges is crucial its successful integration practices.

Language: Английский

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A strategic framework for digital maturity of design and construction through a systematic review and application

Journal of Industrial Information Integration, Journal Year: 2022, Volume and Issue: 31, P. 100413 - 100413

Published: Nov. 24, 2022

Language: Английский

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Construction 4.0 in a narrow and broad sense: A systematic and comprehensive literature review

Building and Environment, Journal Year: 2023, Volume and Issue: 244, P. 110788 - 110788

Published: Sept. 4, 2023

This article presents a systematic review that assesses the implication of Construction 4.0 from both narrow perspective centred on technology adaptation, and broader includes implications society, environment, governance, itself (referred to as 'SEGT dimensions'). The draws selection analysis 131 primary sources, including peer-reviewed articles, books, chapters published between 2016 2023. literature consistently reveals discernible pattern: (i) notable gap theoretical propositions practical implementation technologies, processes, strategies; (ii) range barriers hindering effective adoption this transformative paradigm such significant upfront costs associated with integrating shortage skilled personnel adept in utilizing these inadequate regulatory frameworks, hesitancy among construction leadership, deep-seated aversion change within industry; and, (iii) lack understanding policy scholarly community about impact SEGT dimensions. warns for unfounded technocratic optimism 4.0; calls holistic application 'new' refrain cherry-picking 'cheap easy' technologies applications; suggests industry may be able leapfrog '4.0' revolution directly embrace '5.0' approach by incorporating human-centric focusing how automation can help address central challenges 21st century.

Language: Английский

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Leveraging Cost-Effective AI and Smart Technologies for Rapid Infrastructural Development in USA

Deleted Journal, Journal Year: 2024, Volume and Issue: 15(1), P. 59 - 71

Published: July 26, 2024

High cost of building makes houses expensive for US citizens and residents. Thus, this study proposes the leveraging cost-effective artificial intelligence (AI) smart technologies (ST) rapid infrastructural development in US. It considers them as sustainable means tackling challenges attainment affordable houses. The explores potentials prominent AI capable reducing US, which would become all. primary data are obtained from telephone interviews with 10 construction workers 5 experts AI, alongside observation introspection. secondary drawn library internet. Qualitative method, thematic content analyses, systematic review, descriptive interpretive tools employed. results show Machine Learning, Natural Language Processing, Computer Vision, Reinforcement Robotic Process Automation to be technologies, while Building Systems, Internet Things, Renewable Energy Smart Water Management Systems technologies. concludes that identified not only cost-effective, but also transformative innovation-driven can leveraged increase efficiency, productivity, quality delivery satisfactory services. recommends government organizations cost-effectiveness towards attaining USA.

Language: Английский

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