Developing project evaluation models for smart sustainable practices implementation in construction projects: a comparative study between Nigeria and Hong Kong

Olawumi, Timothy O.; Chan, Daniel W.M.

Abstract

Purpose
The purpose of this paper is to identify the key facilitating factors for smart sustainable practices (SSP) and develop a project evaluation model (PEM) for SSP implementation in Nigeria and Hong Kong. SSP is coined from the integration of digital technologies such as Building Information Modelling (BIM) to facilitate sustainability practices.

Design/methodology/approach
The study employed a quantitative research design approach using empirical questionnaire surveys to solicit the opinions of 69 and 97 construction practitioners in Nigeria and Hong Kong. Purposive and snowball sampling techniques were used to identify the potential survey respondents. The fuzzy synthetic evaluation technique was used to develop the PEMs.

Findings
The findings revealed that adequate technical expertise of the SSP processes is critical in enhancing its implementation in Hong Kong and Nigeria; as well as the provision of training programs for specialists in smart and sustainable initiatives. Meanwhile, the study's findings advocated that for an SSP-enabled construction project, its project performance is mainly influenced by the client's satisfaction level and the early involvement of the project teams.

Research limitations/implications
The study's results are limited to the Nigeria and Hong Kong construction industries.

Practical implications
Construction stakeholders such as the clients, developers, contractors can utilize the PEMs to determine and track SSP initiatives implementation in building projects in a reliable and practical way.

Originality/value
No tool has been developed for evaluating SSP initiatives at the project level in the construction industry. Using case studies of Hong Kong and Nigeria, PEM indices were developed to measure and track SSP implementation in construction projects.

• Journal Article Type: Article
• Acceptance Date: Mar 29, 2021
• Online Publication Date: Apr 29, 2021
• Publication Date: 2022
• Deposit Date: Oct 9, 2021
• Publicly Available Date: May 11, 2022
• Journal: Engineering, Construction and Architectural Management
• Print ISSN: 0969-9988
• Electronic ISSN: 1365-232X
• Publisher: Emerald
• Peer Reviewed: Peer Reviewed
• Volume: 29
• Issue: 3
• Pages: 1522-1552
• DOI: https://doi.org/10.1108/ECAM-11-2020-0906
• Keywords: bim; construction projects; fuzzy synthetic evaluation; nigeria; smart sustainable practices
• Public URL: http://researchrepository.napier.ac.uk/Output/2804026