Matsane, Z S-s (2023) An integrated SCM model for collaborative working in construction in South Africa. PhD thesis, University of Johannesburg, South Africa.
Abstract
Within the construction industry's distinct project-oriented setting and fragmentation, using conventional manufacturing Supply Chain Management (SCM) models needs to be improved for Construction Supply Chain Management (CSCM). The fact that construction supply chain activities are not adequately investigated hinders the development of a comprehensive understanding of the interconnected processes, highlighting a critical knowledge gap. A customised SCM model for the construction industry is necessary for academic advancement and also to put practical achievements at risk. To fill this need, this research study presents a conceptual structure for CSCM, aiming to improve knowledge and promote collaborative success within the boundaries of construction projects. Using a combination of several research approaches, particularly the concurrent triangulation design, this research study developed an Integrated Construction Supply Chain Management (ICSCM) model for promoting collaboration in the construction industry in South Africa. The ICSCM model establishes a crucial connection between purposely controlled Independent Variables (IVs) and related Dependent Variables (DVs), adding Mediating Variables (MVs) to improve relationships and outcomes. This focused approach tackles essential elements in the management of construction supply chains, providing valuable perspectives on collaboration, flexibility, risk mitigation, interpersonal dynamics, technology incorporation, sustainability, and strong supplier partnerships. For example, enhanced collaboration within CSC will foster effective communication and coordination among stakeholders improving project outcomes and minimising delays. The study makes a substantial contribution to the comprehension of supply chain management (SCM) dynamics, offering practical implementations for enhanced collaboration by offering strategies and frameworks for improving collaboration among stakeholder as well as identifying current practices and offering improvements to the CSC productivity. In the future, research in CSCM should prioritise evaluating the effects of the model in Design-Build or Integrated Project Delivery, examining the implications of digitalisation, and researching the possible use of Artificial Intelligence (AI) to improve collaboration in design, construction and monitoring. In addition, research should explore the integration of sustainability, the enhancement of risk management, the evaluation of human aspects, and the comparison of supply chain management systems. Conducting assessments after implementing current and proposed models, such as ICSCM, is essential for identifying successful methods and areas that need further improvement in construction supply chain management.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Ramabodu, M S and Anumba, C J |
| Uncontrolled Keywords: | South Africa; artificial intelligence; collaboration; communication; construction supply chain; coordination; flexibility; fragmentation; integrated project delivery; integration; manufacturing; monitoring; productivity; project delivery; risk management; stakeholder; supplier; supply chain management; sustainability |
| Index terms: | dynamics, monitoring, risk management, construction supply chain, implementation, construction industry, artificial intelligence, coordination, project delivery, partnership, independent variable, productivity, project outcome, collaboration, construction project, integration, South Africa, risk mitigation, boundaries, triangulation, dependent variable, management system, digitalization, strategy, integrated project delivery, fragmentation |
| Subjects: | industry analysis, systems engineering, statistical analysis, organizational analysis, partnership management, management, artificial intelligence, project delivery, construction logistics, control systems, risk assessment, business, research design and methodology, production management, Geography, financial risk, contractual arrangements, property law, digital technology, project completion |
| Topics: | Procurement, Risk Management, Engineering Principles, Project Management, Geographical Context, Supply Chain Management, Legal Issues, Stakeholder Management, Research Practice, Cost Management, Business Strategy, Site Management, Organizational Design, Digital Applications |
| Descriptive scope: | 4 PCTA |
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