The purpose of this study was to develop and empirically test the Supply Chain Integration Framework (SCI framework) in order to develop a framework to address the inefficiencies experienced in the public hospital pharmacies’ Supply Chain (SC) in Kenya. Supply Chain Management (SCM) can be regarded as a vibrant business entity that is changing and evolving continually because of constant changes in technology, competition and customer demands. The study investigated and analysed how the independent variables, namely SCI initiatives, performance improvement drivers, organisation environmental forces, workforce and management support, financial factors, flow and integration, regulatory framework and information sharing and technology influenced the SCI. The SCI was categorised into three components namely: customer order fulfilment, supplier collaboration and dedicated SC as the dependent variable. The literature reviewed established that globalisation and intensive worldwide competition, alongside technological developments, creates a completely new operating environment for organisations. The researcher reviewed various models and theories related to SCI which include systems theory, value chain models and value ecology models among others. An SCI framework was then developed to capture the interacting variables within the SCI network that could be adopted for the public hospital pharmacies in Kenya. The study was conducted using a survey questionnaire (Annexure B) that comprised both open and closed ended questions that were distributed to managers in public hospitals and pharmacies in Kenya. The population for the survey was 154 public hospital pharmacies in Kenya, with the final sample comprised of 280 respondents. The study was conducted using a survey questionnaire (Annexure B) that comprised both open and closed ended questions that were distributed to 325 respondents in 154 public hospitals and pharmacies in Kenya. The population for the survey was 154 public hospital pharmacies in Kenya, with the final sample comprised of 280 respondents. Exploratory factor analysis was used to ascertain the validity of the measuring instrument and the Cronbach alpha coefficients were used to measure the reliability of the measuring instruments. Key preliminary tests performed were the Kaiser-Meyer-Olkin test (KMO test) of sample adequacy, the Bartlett’s test of sphericity and the Kolmogorov-Smirnov test (Z-Statistic test) for normality and multi-collinearity diagnostic. Analysis of Variance (ANOVA) and multiple linear regressions were the main statistical procedures used to test the regression model fit and the significance of the relationships hypothesised among various variables in the study. Statistical softwares, namely Statistica 10 (2010) and Statistical Package for Social Sciences (SPSS) Version 18, were used to analyse quantitative data. The study identified five statistically significant relationships between customer order fulfilment and workforce and management support, financial factors, flow and integration, information sharing and technology, supplier collaborations and dedicated SCI. In addition, a total of six statistically significant relationships exist between the supplier collaborations and SCI initiatives i.e. performance improvement drivers, workforce and management support, financial factors, flow and integration, information sharing and technology adoption as well as dedicated SCI. Furthermore, four statistically significant relationships were found between dedicated SCI and SCI initiatives, workforce and management support, financial factors, flow and integration, information sharing and technology adoption.
| Identifer | oai:union.ndltd.org:netd.ac.za/oai:union.ndltd.org:nmmu/vital:24321 |
| Date | January 2015 |
| Creators | Kamau, George Michungu |
| Publisher | Nelson Mandela Metropolitan University, Faculty of Business and Economic Sciences |
| Source Sets | South African National ETD Portal |
| Language | English |
| Detected Language | English |
| Type | Thesis, Doctoral, DBA |
| Format | xxix, 340 leaves, pdf |
| Rights | Nelson Mandela Metropolitan University |
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