Arowoiya, V A; Oke, A E; Ojo, L D and Adelusi, A O (2024) Driving factors for the adoption of digital twin technology implementation for construction project performance in Nigeria. Journal of Construction Engineering and Management, 150(1): 05023014, ISSN 0733-9364
Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | construction performance; digital twin; professionals; pull factors; technology |
| Index terms: | accessibility, construction organization, quantity surveying, engineer, construction performance, Nigeria, government policy, customer satisfaction, architect, factor analysis, implementation, construction industry, construction worker, data storage, builder, developing nation, construction project, developed country, questionnaire, digital twin |
| Subjects: | inclusive design, development economics, Geography, service delivery, production management, data management, statistical analysis, industry analysis, organization, digital engineering, profession, data collection methods, practitioner, public policy, contractual arrangements, performance assessment |
| Topics: | Site Management, Design Practice, Digital Applications, International Construction, Roles and Professions, Stakeholder Management, Procurement, Governance, Business Strategy, Research Practice, Project Management, Geographical Context |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here