- Title
- A framework to improve supply chain performance through lead time management in Ugandan public health institutions
- Creator
- Kabagenyi, Dorothy
- Subject
- Lean manufacturing -- Management
- Subject
- Business logistics -- Uganda
- Subject
- Medical care -- Uganda
- Subject
- Industrial procurement Inventory control
- Date Issued
- 2023-12
- Date
- 2023-12
- Type
- Doctoral theses
- Type
- text
- Identifier
- http://hdl.handle.net/10948/65633
- Identifier
- vital:74213
- Description
- A well-organised public healthcare supply chain leads to easy accessibility of medical supplies. In order to have healthy populations, it is important for governments to have the required medical supplies in their healthcare facilities at the required time. As such, appropriate lead time management by supply chain actors greatly improves supply chain performance. However, the current public healthcare supply chains in Uganda have challenges that lead to poor quality and inefficient public health supply chain performance. The primary objective of this study was to develop an implementation framework to guide public health institutions in improving supply chain performance through lead time management in Uganda. The study also sought to determine the influence of supply chain optimisation on lead time management. It also sought to examine the influence of supply chain dynamic capabilities on lead time management. The study further examined the influence of supplier performance on lead time management, and sought to examine the influence of lead time management on supply chain performance. The study also sought to assess the mediating effect of lead time management on the relationship between supply chain dynamic capabilities and overall supply chain performance, between supply chain optimisation and overall supply chain performance, as well as between supplier performance and overall supply chain performance. Lastly, the study sought to assess the mediation effect of supply chain optimisation on the relationship between supplier performance and lead time management as well as between supply chain dynamic capabilities and lead time management. A positivist philosophy that allowed quantitative data to be collected from 340 respondents was used in this study. The study used both stratified sampling and simple random sampling without replacement to choose the public healthcare facilities as well as purposive sampling to select the final respondents for the study. An exploratory factor analysis (EFA) was performed in the Statistical Package for Social Sciences (SPSS) Version 25 for factor reduction and dimensional groupings. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) path analysis models were performed in the Analysis of Moments of Structure (AMOS Version 27) software for model fit assessments and hypotheses testing, respectively. A multiple regression analysis was performed in SPSS Version 25 software, and was used for comparison and confirmation of the weak and insignificant result obtained for the unsupported hypothesis (H4) in the SEM hypotheses tests.
- Description
- Thesis (PhD) -- Faculty of Business and Economic Sciences, School of Management Sciences, 2023
- Format
- computer
- Format
- online resource
- Format
- application/pdf
- Format
- 1 online resource (xix, 334 pages)
- Format
- Publisher
- Nelson Mandela University
- Publisher
- Faculty of Business and Economic Sciences
- Language
- English
- Rights
- Nelson Mandela University
- Rights
- All Rights Reserved
- Rights
- Open Access
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NMU School of Management Sciences
| Thumbnail | File | Description | Size | Format | |||
|---|---|---|---|---|---|---|---|
| View Details Download | SOURCE1 | Kabagenyi, D.pdf | 4 MB | Adobe Acrobat PDF | View Details Download |