Success factors of digital technologies (DT) tools adoption for sustainable construction in a developing economy

Oke, A E; Aliu, J; Onajite, S and Simeon, M (2024) Success factors of digital technologies (DT) tools adoption for sustainable construction in a developing economy. Construction Innovation, 24(4), pp. 950-964. ISSN 1471-4175

Abstract

Purpose: As the construction sector constantly seeks ways to address ever-growing societal demands, the need to embrace innovation and digital technologies (DTs) cannot be overstated. Therefore, the purpose of this study is to assess the success factors influencing the adoption of DTs to achieve sustainable construction in a developing economy such as Nigeria. Design/methodology/approach: A quantitative research approach was conducted with close-ended questionnaires developed and administered to construction professionals based in Lagos State, Nigeria. Data obtained was analyzed using percentages, frequency, mean item score and exploratory factor analysis. Findings: The findings from the mean scores revealed the leading influential success factors which were education and training, methodology of model constructions, organization development, customer satisfaction and profitability and new revenue. Factor analysis revealed three clusters of success factors which were management needs, construction methodology and effective communication. Practical implications: To adequately integrate DTs into construction industry activities and processes, awareness about the technologies must be created and enhanced if already in play. This study posits that the construction sector must accept and implement this new paradigm of innovation to benefit from this disruptive era. Originality/value: This study serves as a foundation for other related studies that are aimed at advocating the efficacy of DTs in the effective and efficient execution of construction activities. The assessment of the success factors influencing the adoption of DTs would help construction organizations and stakeholders to understand the need to embrace and implement smart technologies into the activities, operations and processes of the construction industry.

Item Type: Article
Uncontrolled Keywords: building information modeling; cyber-physical system; digital technologies; sustainable construction; virtual reality
Index terms: quantitative research, building information modelling, construction organization, Nigeria, construction activity, factor analysis, profitability, customer satisfaction, construction professional, paradigm, Lagos State, virtual reality, education and training, construction industry, sustainable construction, exploratory factor analysis, developing economy, revenue, success factor, questionnaire, methodology, construction sector, digital technology
Subjects: health monitoring assessment and metrics, economic analysis, data analysis and analytics, construction operations, organization, virtual reality, data collection methods, computing systems, professional education, information systems, statistical analysis, industry analysis, research methods, education and knowledge transfer, economic development, professional development, sustainable construction, service delivery, Geography
Topics: Education, Site Management, International Construction, Digital Applications, Sustainability, Stakeholder Management, Research Practice, Geographical Context, Information Management, Business Strategy, Health and Safety
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