Modelling the adoption of internet of things (IoT) for sustainable construction in a developing economy

Dosumu, O S and Uwayo, S M (2023) Modelling the adoption of internet of things (IoT) for sustainable construction in a developing economy. Built Environment Project and Asset Management, 13(3), pp. 394-411. ISSN 2044-124X

Abstract

Purpose: The need to improve sustainable construction with the appropriate technology adoption in the fourth and fifth industrial revolutions cannot be overemphasized. This study modelled the adoption of Internet of things (IoT) technologies in the construction industry to improve sustainable construction. Consequently, the study would assist construction stakeholders and policymakers in achieving sustainable construction through concerted efforts toward improving IoT adoption. Design/methodology/approach: The study obtained the IoT technologies and the challenges of IoT adoption in the construction industry through a literature review. Subsequently, the awareness (knowledge of the existence and uses) of IoT technologies, the significance of the challenges and the level of adoption of the IoT technologies were tested on construction stakeholders in Kigali with a structured questionnaire. Consequently, a structural equation model of IoT adoption was developed. Findings: The structural equation model indicates the relationship between the awareness, challenges and adoption of IoT technologies. It equally describes the effect sizes of the awareness and challenges of IoT on the adoption of IoT technologies. Research limitations/implications: This study is beneficial to construction stakeholders as it portrays the exclusive impacts of the awareness and the challenges of IoT technologies on the adoption of IoT. The study also benefits the government and policymakers as it provides a basis for intensifying efforts to create awareness and mitigate the challenges of IoT adoption for sustainable construction. The study also provides a basis for future studies on IoT adoption in the construction industry. Originality/value: There are several studies on the adoption of IoT. There is however scarcity of studies on how the awareness and the challenges of IoT technologies impact the adoption of IoT in the construction industry. Thus, this study bridges the gap by modelling the adoption of IoT technologies for improved sustainable construction.

Item Type: Article
Uncontrolled Keywords: fifth industrial revolution; fourth industrial revolution; internet of things; partial least squares; smartpls; structural equation modelling; sustainable construction
Index terms: sustainable construction, developing economy, structural equation modelling, literature review, fourth industrial revolution, questionnaire, structural equation model, methodology, future study, appropriate technology, Kigali, modelling, internet, partial least square, construction industry
Subjects: computing systems, data collection methods, technological development, research design and methodology, technology adoption, data analysis and analytics, analytical methods, Geography, sustainable construction, economic development, research methods, industry analysis, statistical analysis
Topics: International Construction, Digital Applications, Sustainability, Research Practice, Geographical Context, Engineering Principles
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