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Influence of digitalisation adoption level on construction project delivery in Nigeria

Okpo, Henry; Ikediashi, Dubem; Dania, Afolabi


Henry Okpo

Afolabi Dania


The rate of project failure across the globe seems to reinforce poor performance as a norm. However, engagement with construction digitalisation (CD) represents a departure point for improving project performance. Amidst researchers' recent empirical engagement with CD, the knowledge of the relationship model between CD and project delivery (PD) is abysmal. As a result, developing a business case for CD in developing countries has been slow due to the dearth of empirical evidence. This paper aims to investigate the influence of digitalisation on project performance.

Anchored on cross-sectional survey research design using a questionnaire survey in which a total of 183 copies of structured questionnaires were randomly distributed to medium- and large-sized construction firms operating in Abuja, Nigeria's federal capital. A total of 126 valid responses were received giving an overall response rate of 68.8%. The responses were analysed using mean item score, principal component analysis and multiple linear regression.

Findings from the regression analysis reveal that digitalisation has varying levels of impact on PP measured using quality, time and cost. The relationship model with time performance is weak (r = 0.526, r2 = 0.277); on cost performance, the significant model is also weak (r = 0.502, r2 = 0.252) and moderate on quality (r = 0.663, r2 = 0.439). CD influences project cost, time and quality performance despite the weak relationship model. The results indicate that the most effective benchmark of CD is quality performance.

This study established the relationship between digitalisation and construction PD within the construction industry context, an area lacking research attention in emerging economies. This study is the first study in emerging economies that established the influence of digitalisation on construction PD statistically.

Journal Article Type Article
Acceptance Date May 25, 2023
Online Publication Date Jun 30, 2023
Publication Date 2023-10
Deposit Date Jul 3, 2023
Publicly Available Date Jul 3, 2023
Journal Frontiers in Engineering and Built Environment
Print ISSN 2634-2499
Electronic ISSN 2634-2502
Publisher Emerald
Peer Reviewed Peer Reviewed
Volume 3
Issue 4
Pages 221-232
Keywords Construction industry, Digitalisation, Project performance, Multiple linear regression modelling, Nigeria
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