Comparative analysis of the barriers to smart sustainable practices adoption in the construction industry between Hong Kong and Nigeria

Chan, Daniel W.M. and Olawumi, Timothy O. and Saka, Abdullahi B. and Ekundayo, Damilola (2022) Comparative analysis of the barriers to smart sustainable practices adoption in the construction industry between Hong Kong and Nigeria. International Journal of Construction Management. ISSN 1562-3599 (In Press)

[img] Text
TJCM-2021-0789_R2_Accepted Manuscript.pdf - Accepted Version
Restricted to Registered users only
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (1MB)

Abstract

The deployment of digital systems has facilitated process improvement in building construction, including for green practices implementation. However, it has encountered several challenges that have limited its use and hindered the diffusion of sustainable practices. Hence, this study aims to identify and assess the major barriers to smart-sustainable practices (SSP) adoption and evaluate its likely impact. A quantitative research method using empirical questionnaire surveys to solicit stakeholders' perceptions in Hong Kong and Nigeria to understand whether there is a commonality in the identified barriers between the two contexts. The collated data were analysed using descriptive statistics such as mean and inferential statistics (factor analysis), while fuzzy synthetic evaluation was used to develop the predictive models. Using non-probability sampling techniques, 97 and 69 responses were gotten from respondents in Hong Kong and Nigeria, respectively. The results revealed that workforce expertise, hesitancy to change from working practices, technical know-how, and inadequate understanding of the SSP process as the most critical barriers to SSP diffusion in Hong Kong and Nigeria. Also, impact evaluation models were developed as a predictive tool to evaluate and respond to the impact of these barriers. It is recommended for industry practitioners and policymakers to collaborate to create local context-based guidelines for facilitating SSP diffusion and monitor its implementation.

Keywords: barrier; BIM; construction industry; digital system; predictive tool; sustainability practices; fuzzy synthetic evaluation.

Item Type: Article
Identification Number: https://doi.org/10.1080/15623599.2022.2108973
Dates:
DateEvent
29 July 2022Accepted
Subjects: CAH10 - engineering and technology > CAH10-01 - engineering > CAH10-01-10 - others in engineering
CAH13 - architecture, building and planning > CAH13-01 - architecture, building and planning > CAH13-01-01 - architecture
CAH13 - architecture, building and planning > CAH13-01 - architecture, building and planning > CAH13-01-02 - building
CAH26 - geography, earth and environmental studies > CAH26-01 - geography, earth and environmental studies > CAH26-01-04 - environmental sciences
Divisions: Faculty of Computing, Engineering and the Built Environment > School of Engineering and the Built Environment
Depositing User: Damilola Ekundayo
Date Deposited: 02 Aug 2022 10:02
Last Modified: 02 Aug 2022 10:02
URI: http://www.open-access.bcu.ac.uk/id/eprint/13448

Actions (login required)

View Item View Item

Research

In this section...