Supply chain relationships as predictors of supply chain performance in South African SMEs

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dc.contributor.advisor Chinomona, Richard
dc.contributor.advisor Mathu, Ken
dc.contributor.author Pfanelo, Nematatani
dc.date.accessioned 2017-05-25T04:12:10Z
dc.date.available 2017-05-25T04:12:10Z
dc.date.issued 2015-05
dc.identifier.uri http://hdl.handle.net/10352/353
dc.description M. Tech. (Logistics management, Faculty of Management Sciences), Vaal University of Technology en_US
dc.description.abstract The growth and development of SCM is attributed to number of factors such as partnership, collaboration, integration and relationship commitment. Despite increasing awareness of the importance of joint venture to organisations, research on the supply chain relationships (supply chain partnership, collaboration, integration and relationship commitment) and performance have received little attention. Therefore, using a data set of 271 individuals from the small and medium enterprise (SMEs) sector in South Africa, this study examines the influence of supply chain partnerships on collaboration, collaboration on integration, integration on relationship commitment and relationship commitment on performance. Structural equation modeling (SEM) method was used to analyses the data collected whereby individuals agrees with that supply chain relationships increase performance in the work environment. The study has developed a supply chain management (SCM)-based performance measurement system (PMS) for the case of SMEs. Such a framework may help SMEs managers to establish their own supply chain functions and strategically plan improvements for weak areas. In addition, it may remain helpful for benchmarking current practices with industry norms requirements. Quite often, companies dealing with a large number of performance measures derived and expanded based on the suggestions from employees, consultants and past experiences (history) forget to realise that supply chain performance measurement can be better addressed when they joint venture. en_US
dc.format.extent xiv, 152 leaves: tables en_US
dc.language.iso en en_US
dc.subject Supply chain management en_US
dc.subject Joint venture organisations en_US
dc.subject Small and medium enterprises en_US
dc.subject Structural equation modeling en_US
dc.subject Supply chain performance measurement en_US
dc.subject.ddc 658.5 en_US
dc.subject.lcsh Physical distribution of goods. en_US
dc.subject.lcsh Business logistics en_US
dc.title Supply chain relationships as predictors of supply chain performance in South African SMEs en_US
dc.type Thesis en_US


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