Logistics

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Browsing Logistics by Author "Chinomona, E., Prof."

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    The influence of supplier partnerships on quality of information sharing, commitment, trust and supply chain performance in the automotive industry in South Africa
    (Vaal University of Technology, 2022-08) Mthiyane, Siphesihle Nokwanda; Chinomona, E., Prof.; Omoruyi, O., Dr.
    The South African automotive industry is continuously under endangerment in achieving sustainable supply chain performance. The factors negatively affecting this industry include low quality of the information shared, inadequate commitment and trust amongst supply chain participants and poor economic performance of the country. These factors may lead to inefficient and ineffective supply chain performance. The purpose of this study is to analyse the relationship between supplier partnership, the quality between information sharing, commitment, trust, and supply chain performance within the South African automotive industry. The study used a quantitative method to collect, analyse and interpret the results. Measurement instruments were designed according to the South African context. The structured questionnaire was divided into six sections namely, demographic, supplier partnership, quality of information sharing, commitment, trust and supply chain. Besides, 127 self-administered questionnaires were distributed to the identified sample of the automotive industry, which composed of suppliers and car dealers namely, vehicle salespeople, spare part distributors, supply chain and quality managers, engineering change specialists, logistics planners, material controllers, quality specialists, production line operators and material receivers in Gauteng and the Eastern Cape Province. The collected quantitative data were analysed using the SMART-partial least squares (SMART-PLS 3) structural equation modelling procedures to test the accuracy of the measurement scales and the five hypotheses using the path analyses technique. The definite data analysis techniques practical included descriptive statistics and inferential statistics. The results of the research study show positive relationships between the study variables namely, supplier partnership, quality of information sharing, commitment, trust, and the supply chain performance. The quality of information shared among supplier partners exerted the highest impact on commitment (β = 0.704). This indicates that the continuous enhancement of information quality can lead to better synchronisation of supply and demand in the automotive supply chain.
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    Supply chain coordination and firm performance in the construction industry in Gauteng Province
    (Vaal University of Technology, 2022) Montso, Mosidi Elizabeth; Mafini, C., Prof.; Chinomona, E., Prof.
    The construction industry is an important contributor to the economy of South Africa. In this industry, buyers and suppliers work in collaboration with each other to achieve superior supply chain performance. To achieve this, they have to find ways and methods to improve it. The purpose of this study was to investigate supply chain coordination and firm performance in the construction industry in the Gauteng Province. This study considers three drivers: supplier coordination, customer coordination and coordination effectiveness to achieve the performance of the construction industry. In most previous research studies, researchers have overlooked the important considerations and variables of supply chain coordination and firm performances as environmentally-friendly exercises in the construction industry. As a result, there was an abundant necessity to examine how the construction industry should implement a supply chain coordination programme and firm performance as environmentally-friendly practices in the organisational activities to ensure the sustainability of the construction industry. The effective application of SCC and firm performance in the construction industry will benefit all stakeholders. A quantitative approach was adopted in which a survey questionnaire was used to collect data from 414 construction supply chain managers and professional employees in the Gauteng Province. The study used a non-probability convenience sampling technique to select respondents. Data were analysed with the aid of two software packages: the Statistical Package for the Social Sciences (SPSS version 27.0) and the Analysis of Moment Structures (AMOS version 27.0). A confirmatory factor analysis was applied in examining and testing the relationships between observed constructs and their causal latent constructs while structural equation modelling was used to test the hypothesised relationships between constructs. The results revealed that supplier coordination, customer coordination and coordination effectiveness positively and significantly influence firm performance in the construction industry. Further, the study determines that to improve firm performance, the construction industry should advance the stages of trust, guarantee and sustainable relationships with their stakeholders. The results provide useful insights into how the construction industry could benefit from cultivating trust, assurance and sustainable relationships between supply chain partners as well as on how to improve firm performance. Therefore, this study is not only important for construction companies but also for manufacturers, suppliers and customers since most of them will collectively achieve the goal of performing purposeful activities to boost construction performance and sustainability.