Olawumi, T O and Chan, D W M (2022) Developing project evaluation models for smart sustainable practices implementation in construction projects: A comparative study between Nigeria and Hong Kong. Engineering, Construction and Architectural Management, 29(3), pp. 1522-1552. ISSN 0969-9988
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | BIM; construction projects; fuzzy synthetic evaluation; Hong Kong; Nigeria; smart sustainable practices |
| Index terms: | integration, methodology, construction project, program, questionnaire, digital technology, fuzzy synthetic evaluation, survey, construction practitioner, comparative study, sampling, project performance, implementation, construction industry, project team, project evaluation, Hong Kong, building information modelling, quantitative research, sustainable practice, case study, satisfaction, Nigeria |
| Subjects: | data collection methods, research design and methodology, computing systems, value management, contractual arrangements, data analysis and analytics, project delivery, research methods, software systems, production management, Geography, professional development, project management theory and practice, organizational analysis, sustainable practices, decision-making and optimization, industry analysis, information systems |
| Topics: | Procurement, Sustainability, Research Practice, Geographical Context, Project Management, Information Management, Organizational Design, Digital Applications |
| Descriptive scope: | 5 PCTEA |
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