Artificial Intelligence and the UK Construction Industry – Empirical Study

Jallow, Haddy; Renukappa, Suresh; Suresh, Subashini; Rahimian, Farzad Pour

doi:10.1080/10429247.2022.2147381

Cited by 7 publications

(4 citation statements)

References 59 publications

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“…Quantitative information from the reviews uncovered that 75% of associations have coordinated artificial intelligence fueled apparatuses and advancements into their project management processes in some limit (Smith et al, 2022). Besides, research of study reactions demonstrated that associations revealed a normal increment of roughly 25% in project achievement rates following the reception of artificial intelligence in project management rehearse (Jones, 2021). Qualitative information from interviews gave important experiences into the particular jobs of artificial intelligence in project management, remembering its effect for dynamic cycles, asset allotment, and risk management .…”

Section: Percentagesmentioning

confidence: 99%

The Role and Impact of Artificial Intelligence on Project Management

Zia,

Nadim,

Khan

et al. 2024

ABBDM

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Artificial intelligence (AI) has arisen as an extraordinary power in project management, changing customary practices and enlarging human capacities. This research investigates the diverse jobs played by (AI) artificial intelligence in project management and surveys its effect on project achievement rates. Through an extensive survey of writing and research of exact information, this study uncovers that artificial intelligence reception in project management has prompted a critical improvement in project achievement rates. Overall, artificial intelligence execution has brought about a wonderful increment of roughly 20% in project achievement rates across different businesses. Via mechanizing monotonous errands, upgrading asset allotment, and improving dynamic cycles, artificial intelligence has exhibited its capability to smooth out project work processes and moderate dangers. Nonetheless, close by its promising advantages, artificial intelligence execution presents difficulties, for example, information protection concerns, moral contemplations, and labor force reskilling necessities. This abstracts the basic significance of embracing artificial intelligence advancements in project management to accomplish higher proficiency, adequacy, and development. Looking forward, further research is expected to investigate arising patterns and address the developing difficulties in bridling artificial intelligence for project achievement.

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Section: Percentagesmentioning

confidence: 99%

The Role and Impact of Artificial Intelligence on Project Management

Zia,

Nadim,

Khan

et al. 2024

ABBDM

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“…Similarly, existing AI implementation and its benefits were assessed in the UK's construction industry. It was recommended that organisations consider AI's implementation in the future to become competitive [98].…”

Section: Coding and Programmingmentioning

confidence: 99%

A Review of the Digital Skills Needed in the Construction Industry: Towards a Taxonomy of Skills

Siddiqui,

Thaheem,

Abdekhodaee

2023

Buildings

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The construction industry is slowly embracing digitalisation in line with the Industry 4.0 revolution and the aftermath of the COVID-19 pandemic. However, progress has been sluggish due to stakeholders’ limited awareness of digital skills. This study addresses this issue by developing a comprehensive taxonomy of digital skills required to successfully implement the Industry 4.0 principles of digitalisation in the construction industry. A systematic literature review was conducted by mining the Scopus and Web of Science databases to identify relevant literature and map the skills currently used or needed for digitalisation. The study also examined publication trends and outlets to gain insight into developments. Additionally, VOSviewer was used to conduct a scientometric analysis of the shortlisted articles to identify important keywords and authorship collaboration networks within this research domain. A total of thirty-five digital skills were identified from the literature. These skills were organised into a taxonomy with categories named automation and robotics, coding and programming, design, drafting and engineering, digital data acquisition and integration, digital literacy, digitisation and virtualisation, modelling and simulation, and planning and estimation. The developed taxonomy will help stakeholders plan strategically to provide digital skills to the new graduates joining the workforce, enabling a more comprehensive approach to the digitalisation of the construction industry.

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“…In some other fields, scholars often adopt qualitative research methods. Jallow et al [8] adopted a qualitative case study research methodology to explore the uses of AI and its benefits for the UK construction industry. In the retail field, Pillai et al [9] surveyed 1250 consumers to investigate their shopping intentions at AI-powered automated retail stores.…”

Section: Literature Reviewmentioning

confidence: 99%

Effect of Artificial Intelligence on the Development of China’s Wholesale and Retail Trade

Jian

Guo

2023

Sustainability

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The rapid development of digital technologies and massive data analytics has enabled artificial intelligence (AI), via “machine learning”, to impact many societal sectors, including the wholesale and retail trade (WRT). However, the specific impact pathway and dynamics are still unclear. Based on the panel data of 30 provinces in China from 2015 to 2021, this paper employed the “VHSD-EM” model, random forest algorithm, and partial effect analysis to build an evaluation index system of AI and WRT, then to study the impact of AI on WRT in the temporal and spatial dimensions. Our main discoveries were as follows: (1) the quality of the WRT aligned well with the relative level of AI in the provinces, although the latter developed at a relatively fast pace; (2) the shortcomings that hindered the quality of WRT development varied in different regions, with a stark mismatch between the degree of informatization and the level of economic development in the eastern coastal region, a lack of innovation in the relatively high economic presence of the northern provinces, and a weak sharing of resources in the western region; (3) AI enhanced WRT development jointly with other key factors, particularly the density of employment, the percentage of WRT employees, and the ratio of the year-end financial institution deposits to the regional GDP, which raises the importance of the transaction volume of the technology market; (4) spatial differences exist in the impact pathways of AI on the high-quality development of WRT, and, for most provinces and regions except Shanghai and Guangdong, there is still significant room for expansion in the utilization of AI in WRT.

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Artificial Intelligence and the UK Construction Industry – Empirical Study

Cited by 7 publications

References 59 publications

The Role and Impact of Artificial Intelligence on Project Management

The Role and Impact of Artificial Intelligence on Project Management

A Review of the Digital Skills Needed in the Construction Industry: Towards a Taxonomy of Skills

Effect of Artificial Intelligence on the Development of China’s Wholesale and Retail Trade

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