Kadan, R; Omotayo, T S; Boateng, P; Nani, G and Wilson, M (2024) The application of Bayesian network analysis in demystifying construction project subcontracting complexities for developing countries. Journal of Financial Management of Property and Construction, 29(3), pp. 444-469. ISSN 1366-4387
Abstract
Purpose: This study aimed to address a gap in subcontractor management by focusing on previously unexplored complexities surrounding subcontractor management in developing countries. While past studies concentrated on selection and relationships, this study delved into how effective subcontractor management impacts project success. Design/methodology/approach: This study used the Bayesian Network analysis approach, through a meticulously developed questionnaire survey refined through a piloting stage involving experienced industry professionals. The survey was ultimately distributed among participants based in Accra, Ghana, resulting in a response rate of approximately 63%. Findings: The research identified diverse components contributing to subcontractor disruptions, highlighted the necessity of a clear regulatory framework, emphasized the impact of financial and leadership assessments on performance, and underscored the crucial role of main contractors in Integrated Project and Labour Cost Management with Subcontractor Oversight and Coordination. Originality/value: Previous studies have not considered the challenges subcontractors face in projects. This investigation bridges this gap from multiple perspectives, using Bayesian network analysis to enhance subcontractor management, thereby contributing to the successful completion of construction projects. © 2024, Emerald Publishing Limited.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Bayesian network analysis; construction in developing countries; construction industry; main contractor-subcontractor relationships; sub-contractor management |
| Index terms: | project success, main contractor, Ghana, bayesian network, subcontracting, investigation, subcontractor management, labour cost, coordination, construction industry, developing country, survey, face, sub-contractor, questionnaire, construction project, methodology, subcontractor, complexity, Accra |
| Subjects: | probabilistic model, industry analysis, cost management, systems engineering, management, research methods, production management, Geography, development economics, contract management, project management theory and practice, psychology, data collection methods, organization, practitioner |
| Topics: | Organizational Design, Contract Administration, International Construction, Supply Chain Management, Digital Applications, Procurement, Roles and Professions, Geographical Context, Project Management, Research Practice, Engineering Principles |
| 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