Critical solutions to the lapses of supply chain management in Nigeria's construction industry
International Journal of Building Pathology and Adaptation
ISSN: 2398-4708
Article publication date: 20 April 2022
Issue publication date: 12 August 2024
Abstract
Purpose
Recent studies on construction supply chain management (CSCM) evaluated its vulnerability and challenging factors, but studies that have identified and examined the possible corrective measures of CSCM are rare. This study sets out to bridge this gap by identifying and evaluating the most effective CSCM corrective measures that will benefit the global construction industry.
Design/methodology/approach
A methodology was designed to obtain the corrective measures of CSCM. Data were collected from 68 experts who served as research participants in this study, through a questionnaire survey and were analyzed statistically using the severity index analysis, Mann–Whitney test and factor analysis which includes KMO and Barlett's test, commonalities, total variance pattern matrix.
Findings
The findings of the study revealed that free exchange of information between parties from both suppliers and site/firm is the best CSCM corrective measures, according to the research participant's opinion using the severity index analysis. Further analysis revealed seven underlying factors of CSCM corrective measures.
Practical implications
The findings of this study have identified the most critical solutions to the lapses of CSCM. These will serve as adequate corrective measures to the challenges of CSCM and benefit the global construction industry.
Originality/value
This study contributed seven underlying factors of CSCM corrective measures which can be adopted as adequate corrective measures to the lapses of CSCM. The study further contributed to CSCM research theory.
Keywords
Citation
Okafor, C.C., Sydney Ani, U. and Ugwu, O. (2024), "Critical solutions to the lapses of supply chain management in Nigeria's construction industry", International Journal of Building Pathology and Adaptation, Vol. 42 No. 4, pp. 768-787. https://doi.org/10.1108/IJBPA-12-2021-0170
Publisher
:Emerald Publishing Limited
Copyright © 2022, Emerald Publishing Limited