scholarly journals Supply Chain Partnership, Collaboration, Integration and Relationship Commitment as Predictors of Supply Chain Performance in South African SMEs

2017 ◽  
Vol 2 (1) ◽  
Author(s):  
Nematatane Pfanelo
Keyword(s):  
Supply Chain ◽  
South African ◽  
Relationship Commitment ◽  
Supply Chain Performance

scholarly journals Examining the influence of supplier integration on supply chain performance in South African small and medium enterprises

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Jeremiah Madzimure
Keyword(s):  
Supply Chain ◽  
South African ◽  
Quantitative Research ◽  
Management Practices ◽  
Small And Medium Enterprises ◽  
Supply Chain Performance ◽  
Gauteng Province ◽  
Supplier Integration ◽  
Positive Correlations ◽  
Medium Enterprises

Background: As the South African economy continues to grow, the role of small and medium-sized enterprises (SMEs) as a potential source for employment creation and productivity within the country has become widely acknowledged. However, one area in which the SMEs in the country still need to develop is in their implementation of supply chain management practices, particularly their relationships with suppliers, which could result in either the failure or success of any business enterprise. Majority of studies conducted in this area have focussed on large firms, thereby creating a research gap in this area.Aim: The aim of this study was to examine the influence of supplier integration on supply chain performance in South African SMEs.Setting: This study was conducted in Gauteng province of South Africa.Methods: A quantitative research methodology was employed in this study. A convenient sample comprising 283 owners and managers from SMEs drawn from the Gauteng Province was used in the study. The collected data were then analysed using Pearson’s correlation and regression analysis.Results: Positive correlations were found between supplier integration and both the tangible and intangible sub-dimensions of supply chain performance. Supplier integration also predicted both the tangible and intangible sub-dimensions of supply chain performance.Conclusion: These results imply that to improve the performance of their supply chains, it is imperative for SMEs to ensure that linkages with their suppliers are properly aligned for improved coordination, which leads to better relationships and supply of materials. This study contributes to the literature by proposing and testing the influence of supplier integration on supply chain performance.

Big Data and Predictive Analysis is Key to Superior Supply Chain Performance

2017 ◽  
Vol 10 (2) ◽  
pp. 66-84 ◽  
Author(s):  
Surajit Bag
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
South African ◽  
Positive Relationship ◽  
Partial Least Square ◽  
Predictive Analysis ◽  
Supply Chain Performance ◽  
Unique Contribution ◽  
The South ◽  
Supplier Relationship

The study considers samples from the South African engineering companies who are strategic suppliers to mining and minerals industry and further explores the uncertainties persisting in the supply chain network. Further investigation was done to understand the role of big data and predictive analysis (BDPA) in managing the supply uncertainties. The paper finally uses partial least square regression analysis to study the relationship among buyer-supplier relationship, big data and predictive analysis and supply chain performance. The analysis supported the second and third hypothesis. Therefore, it is established that firstly, there is a positive relationship between big data, predictive analysis and supply chain performance and secondly, there is a positive relationship between and big data, predictive analysis and buyer-supplier relationship. The study is a unique contribution to the current literature by shedding light on the practical problems persisting in the South African context.

Big Data and Predictive Analysis Is Key to Superior Supply Chain Performance

Web Services ◽  
2019 ◽  
pp. 1507-1529
Author(s):  
Surajit Bag
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
South African ◽  
Positive Relationship ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Predictive Analysis ◽  
Supply Chain Performance ◽  
The South ◽  
Supplier Relationship

The study considers samples from the South African engineering companies who are strategic suppliers to mining and minerals industry and further explores the uncertainties persisting in the supply chain network. Further investigation was done to understand the role of big data and predictive analysis (BDPA) in managing the supply uncertainties. The paper finally uses partial least square regression analysis to study the relationship among buyer-supplier relationship, big data and predictive analysis and supply chain performance. The analysis supported the second and third hypothesis. Therefore, it is established that firstly, there is a positive relationship between big data, predictive analysis and supply chain performance and secondly, there is a positive relationship between and big data, predictive analysis and buyer-supplier relationship. The study is a unique contribution to the current literature by shedding light on the practical problems persisting in the South African context.

Supply Chain Performance Management

Controlling ◽  
2003 ◽  
Vol 15 (11) ◽  
pp. 615-622 ◽  
Author(s):  
Carsten Glohr
Keyword(s):  
Supply Chain ◽  
Performance Management ◽  
Supply Chain Performance

A study of cane supply benefits associated with ad hoc mechanical harvesting to mitigate cutter absenteeism

2013 ◽  
pp. 532-538 ◽  
Author(s):  
Muhammad Kadwa ◽  
Carel N Bezuidenhout
Keyword(s):  
Supply Chain ◽  
South African ◽  
Ad Hoc ◽  
Sugar Mill ◽  
The South ◽  
Optimum Performance ◽  
Kwazulu Natal ◽  
Cane Quality ◽  
The Cost

The Eston Sugar Mill is the newest in the South African KwaZulu-Natal sugar belt. Like most other mills, it can be argued that there are inefficiencies in the supply chain due to systematic issues, which reduce optimum performance. It was alleged that mill processes are slowed, or stopped, on Sundays, Mondays, as well as some Tuesdays and Wednesdays, due to pay-weekends, because of the associated cutter absenteeism. This increases the length of the milling season (LOMS), increases milling costs and reduces the average cane quality for the season. Data on cane deliveries to the Eston Mill, over a period of five seasons, were analysed to study the magnitude of the problem. It was statistically verified that cane shortages occur immediately after payweekends and it was conservatively estimated that cutter absenteeism occurs between 25–29 days per season, which increases the LOMS by six to ten days. The associated cost of this problem equated to an average of US$159,500 (approximately EUR120,000) per milling season. In this paper, an alternative harvesting system scenario is suggested, assuming that mechanical harvesters be used after a pay-weekend, to mitigate the impacts of cutter shortages. However, the solution is calculated to be risky. When the cost of new equipment was considered, only two of the five seasons were able to justify the associated costs.

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