Driving Factors for the Adoption of Digital Twin Technology Implementation for Construction Project Performance in Nigeria

被引:3
|
作者
Arowoiya, Victor Adetunji [1 ]
Oke, Ayodeji Emmanuel [2 ]
Ojo, Lekan Damilola [3 ]
Adelusi, Ayomide Oluwafemi [4 ]
机构
[1] Monash Univ, Dept Civil Engn, Clayton, Vic 3800, Australia
[2] Fed Univ Technol Akure, Dept Quant Surveying, PMB 704, Ondo 340252, Nigeria
[3] City Univ Hong Kong, Dept Architecture & Civil Engn, Hong Kong, Peoples R China
[4] Fed Univ Technol Akure, Dept Quant Surveying, PMB 704, Ondo 340252, Nigeria
关键词
Construction industry; Digital twin (DT); Professionals; Pull factors; Technology; Construction performance; BIM;
D O I
10.1061/JCEMD4.COENG-13659
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
The adoption of digital twin technology (DTT) for enhancing construction project performance, sustainability, and safety of construction workers, among others, is common practice in developed countries. Meanwhile, construction projects in developing nations are suffering from poor outcomes, which could benefit from DTT. Therefore, this research investigates the drivers of the adoption of DTT implementation in the Nigerian construction industry. Close-ended questionnaires were administered to digitally inclined professionals using purposive and snowballing techniques to elicit necessary information on the drivers of DTT implementation. These respondents include architects, engineers, quantity surveyors, and builders in the study area. It was found that technological advancement/trend, reliable data storage, safety, availability of software, customer satisfaction, and accessibility were the top-ranked drivers for implementing DTT. A Shapiro-Wilk test was conducted to know whether the data are normally distributed or not, which led to the use of the Kruskal-Wallis H-test. The Kruskal-Wallis test revealed that government policies have diverging views among the professionals, whereas other factors have converging opinions among the respondents. Factor analysis was conducted to group the key drivers for the implementation of DTT into innovation, operation, quality, performance, and policy drivers. The findings of this study will provide a reference point for researchers and construction organizations on the driving force that brings about the implementation of DTT in a business context and the construction industry. This study realizes that one of the key drivers of the adoption of this technology is a desire for innovation and technological advancement that can be achieved when the technology performs to the expectation of clients, organizations, and the architecture, engineering, and construction (AEC) industry. The study also suggests ways of implementing DTT in the construction industry as well. A digital twin (DT) is a virtual replica or representation of a physical object or product. This research proposes practical implications of DT technology adoption in a developing country with a focus on major drivers for enhancing the uptake of the technology in the construction industry. This will give more insight to stakeholders on major drivers to improve its implementation in the construction and other sectors of the country as well as other developing countries. Technological advancement in different countries as shown in the study will expose professionals to the benefits of digital technologies as well as keep the professionals and other stakeholders abreast of the potential benefits. This can be realized when the government is at the frontline in the usage of DT for public construction projects. In addition, there is a need for policy formulation for its implementation in the construction industry to ensure projects are sustainable and delivered to the satisfaction of concerned stakeholders.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] An assessment of the impact of digital technology adoption on economic growth and labour productivity in Nigeria
    Chiemeke, Stella Chinye
    Imafidor, Omokhagbo Mike
    NETNOMICS, 2020, 21 (1-3): : 103 - 128
  • [32] FACTORS DRIVING THE ADOPTION OF ARTIFICIAL INTELLIGENCE TECHNOLOGY IN THE RECRUITMENT PROCESS IN MOROCCO
    Benhmama, Asmaa
    Bennani, Yasmina Bennis
    ACCESS-ACCESS TO SCIENCE BUSINESS INNOVATION IN THE DIGITAL ECONOMY, 2024, 5 (03): : 387 - 406
  • [33] The critical success factors influencing project performance in Nigeria
    Ogwueleka, Amaka
    INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT, 2011, 6 (05) : 343 - 349
  • [34] Adoption and implementation of digital-imaging technology in the banking and insurance industries
    Liberatore, MJ
    Breem, D
    IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, 1997, 44 (04) : 367 - 377
  • [35] Adoption and implementation of digital-imaging technology in the banking and insurance industries
    Villanova Univ, Villanova, United States
    IEEE Trans Eng Manage, 4 (367-377):
  • [36] Digital Twin Analysis for Driving Risks Based on Virtual Physical Simulation Technology
    Wang, Bo
    Zhang, Chi
    Zhang, Min
    Liu, Changhe
    Xie, Zilong
    Zhang, Hong
    IEEE JOURNAL OF RADIO FREQUENCY IDENTIFICATION, 2022, 6 : 938 - 942
  • [37] Analysing the implementation motivations of BIM Technology in Construction Project Management
    Mesaros, Peter
    Spisakova, Marcela
    Mandicak, Tomas
    5TH WORLD MULTIDISCIPLINARY CIVIL ENGINEERING-ARCHITECTURE-URBAN PLANNING SYMPOSIUM (WMCAUS), 2020, 960
  • [38] Critical Factors Driving Construction Project Performance in Integrated 5D Building Information Modeling
    Sun, Hui
    Khoo, Terh Jing
    Esa, Muneera
    Mahdiyar, Amir
    Li, Jiguang
    BUILDINGS, 2024, 14 (09)
  • [39] Remote Sensing Technology in the Construction of Digital Twin Basins: Applications and Prospects
    Wu, Xiaotao
    Lu, Guihua
    Wu, Zhiyong
    WATER, 2023, 15 (11)
  • [40] Infrastructure digital twin technology: A new paradigm for future construction industry
    Moshood, Taofeeq D.
    Rotimi, James O. B.
    Shahzad, Wajiha
    Bamgbade, J. A.
    TECHNOLOGY IN SOCIETY, 2024, 77