Antecedents of Supply Chain Performance: A Case of Food Retail Industry

2018 ◽  
Vol 10 (3(J)) ◽  
pp. 23-36
Author(s):  
Chriss Narick Mangoukou Ngouapegne ◽  
Elizabeth Chinomona

Food retail industry plays an important part in gross domestic product (GDP). Buyers and suppliers in this industry work in collaboration with each other to achieve an optimal supply chain performance. The purpose of this study is to investigate the drivers of supply chain performance in the food retail industry in Gauteng province. These drivers are known as buyer- supplier trust (BST), buyer- supplier commitment (BSC) and supply chain relationship longevity (RL). This study adopted a quantitative method where a questionnaire was used to collect data from 429 food retailers in the Gauteng province. The study used a convenience sampling technique to select respondents. The Statistical Package for the Social Sciences (SPSS) 24.0 and Smart PLS were used to assist in the data analysis. The results of the research revealed that buyersupplier trust, buyer- supplier commitment and RL have a strong, positive and important impact on supply chain performance. Based on the results of this study, it can be concluded that to achieve supply chain performance, business’s operators should develop a significant relationship based on trust, commitment and relationship longevity. Furthermore, the results of this study provide useful insights on how businesses should benefit from trust, commitment and relationship longevity as well as how to improve supply chain performance. Practical and theoretical contributions, implications and recommendations are provided. 

2019 ◽  
Vol 35 (2) ◽  
pp. 43-60
Author(s):  
Chriss Narick Mangoukou Ngouapegne ◽  
Elizabeth Chinomona

The objective of this research is to examine the antecedents of supply chain value in the food trade business in the Gauteng region of South Africa. This study considers three of these drivers, namely buyer-supplier trust, commitment and supply chain relationship durability. A numerical approach was implemented in which a survey questionnaire was used to collect data from 429 managers and staff members from food retailing firms in the Gauteng province. The study used a non-probability convenience sampling technique to select respondents. Information were analysed through two software packages, namely the Statistical Package for the Social Sciences (SPSS version 24.0) and the Analysis of Moment Structures (AMOS version 24.0). The main goal of this research is to see if the data fits the model. A confirmatory factor analysis was applied in examining and testing the relationships between observed constructs and their causal latent constructs while structural equation modelling helped in testing the hypothesised relationships among variables. The results of the investigation made known that buyer and supplier trust, commitment and supply chain relationship endurance absolutely and meaningfully impact supply chain performance. This investigation concludes that to achieve greater supply chain performance, food retailers should expedite the levels of trust, commitment and length of relationships with their providers. The outcomes of this study offer valuable understandings on how companies in the food retail industry could profit from trust, commitment and relationship longevity along with on how to develop supply chain performance. The results of this study add to the current body of knowledge by generating new information on buyer-supplier relationships. Therefore, the study is useful to buyers and suppliers in the food retail industry who wish to enhance supply chain performance and develop better relationships.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Carina Acioli ◽  
Annibal Scavarda ◽  
Augusto Reis

PurposeThe purpose of this paper is 1) to investigate the effects on the crucial Industry 4.0 technological innovations that interact between the real and virtual worlds and that are applied in the sustainable supply chain process; 2) to contribute to the identification of the opportunities, the challenges and the gaps that will support the new research study developments and 3) to analyze the impact of the Industry 4.0 technologies as facilitators of the sustainable supply chain performance in the midst of the Coronavirus (COVID-19).Design/methodology/approachThis research is performed through a bibliographic review in the electronic databases of the Emerald Insight, the Scopus and the Web of Science, considering the main scientific publications on the subject.FindingsThe bibliographic search results in 526 articles, followed by two sequential filters for deleting the duplicate articles (resulting in 487 articles) and for selecting the most relevant articles (resulting in 150 articles).Practical implicationsThis article identifies the opportunities and the challenges focused on the emerging Industry 4.0 theme. The opportunities can contribute to the sustainable performance of the supply chains and their territories. The Industry 4.0 can also generate challenges like the social inequalities related to the position of the man in the labor market by replacing the human workforce with the machines. Therefore, the man-machine relationship in the Industry 4.0 era is analyzed as a gap in the literature. Therefore, as a way to fill this gap, the authors of this article suggest the exploration of the research focused on the Society 5.0. Also known as “super-smart society,” this recent theme appeared in Japan in April 2016. According to Fukuda (2020), in addition to the focus on the technological development, the Society 5.0 also aims at the quality of life and the social challenge resolutions.Originality/valueThis article contributes to the analysis of the Industry 4.0 technologies as facilitators in the sustainable supply chain performance. It addresses the impacts of the Industry 4.0 technologies applied to the supply chains in the midst of the COVID-19 pandemic, and it analyzes the research gaps and limitations found in the literature. The result of this study can add value and stimulate new research studies related to the application of the Industry 4.0 technologies as facilitators in the supply chain sustainable performance. It can encourage the studies related to the COVID-19 impacts on the sustainable supply chains, and it can promote the research development on the relationship among the man, the machine and the labor in the Fourth Industrial Revolution.


2018 ◽  
Vol 200 ◽  
pp. 00018
Author(s):  
Safaa Raaidi ◽  
Imane Bouhaddou ◽  
Asmaa Benghabrit

Nowadays, industries are continually looking to implement new subsidiaries in different continents, in order to better fulfill their customers’ needs, generate the best products in the shortest time and cheaper than their competitors. Achieving these goals is no longer related to the company itself, but to all partners in the supply chain. This justifies the need for efficient and judicious management of the whole supply chain, through the collective intervention of all its actors. Needless to say, a supply chain is a system made up of a set of suppliers, producers, subcontractors, retailers, wholesalers and customers, between whom material, information and financial flows are exchanged. Management of these flows is becoming increasingly difficult and constitutes the main source of the supply chain complexity. In order to alleviate this problem and improve supply chain performance, it is necessary to model it, taking into consideration its characteristics, which make it a complex system. Hence, the scoop of this paper is to prove that supply chain is a complex system, by highlighting its most relevant characteristics that make it such a system. Complex means what is braided together or woven together. If we separate the elements, we get acquaintance elements, but we lose their interactions. Within this trend, our contribution subscribes with its ultimate purpose modelling supply chain as complex system.


Author(s):  
Jeremiah Madzimure

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.


Author(s):  
Mohd. Nishat Faisal ◽  
Faisal Talib

Ambidexterity involves developing competencies to excel simultaneously on the exploration and exploitation dimensions. Few studies in literature discuss ambidexterity in a supply chain context. The research presented in this paper highlights issues that act as barriers and deserve attention in implementing ambidextrous supply chain strategy in SMEs. To develop a relationship structure existing among these variables, Interpretive Structural Modelling (ISM) technique is used. Further, variables' impact and dependency is calculated using Impact Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) approach. ISM algorithm proves to be a better tool as compared to a large-scale generic questionnaire based study due to its iterative nature that helps to bring forth issues that are difficult to identify otherwise. SMEs in India under tremendous pressure to excel on exploration and exploitation dimensions would be the major beneficiaries of this study. The hierarchy based structure and the classification of factors based on their impact and dependence, will enhance the understanding of SMEs mangers/owners to improve supply chain performance by eliminating barriers and thereby implementing ambidextrous strategy across the supply chain.


2010 ◽  
Vol 17 (4) ◽  
pp. 593-615 ◽  
Author(s):  
Maria Caridi ◽  
Luca Crippa ◽  
Alessandro Perego ◽  
Andrea Sianesi ◽  
Angela Tumino

2018 ◽  
Vol 10 (2(J)) ◽  
pp. 165-175
Author(s):  
Phathutshedzo David Lavhelani ◽  
Osayuwamen Omoruyi ◽  
Elizabeth Chinomona

The objective of the study is to investigate dynamic capabilities, service quality and relationship longevity as determinates of supply chain performance in small to medium enterprises in Gauteng province by focusing on small and medium enterprises in the Vaal region. The study will contribute to the body of knowledge by addressing dynamic capabilities as determinates of supply chain performance in small to medium enterprises. The study employs a quantitative method of data collection. Permission was sought from SME owners. Once permission was granted, the questionnaires were sent out to SME owners. A total 425 participates were chosen to participate in this study. The researcher used the Statistical Package for the Social Sciences (SPSS 24.0) and Analysis of Moment Structures (AMOS 24.0) to analyse the data. Sample data from SME owners/managersof Vaal region was collected for the final data analysis of this project. The sample data were analysed by performing a confirmatory factor analysis (CFA) and structural equation modelling (SEM). The principal finding of this study reveals that dynamic capabilities, relationship longevity and service quality have an impact on supply chain performance. The conclusions and implications of the research findings are provided and recommendations are suggested. 


Author(s):  
Tayyaba Sohail ◽  
Inam-ul-Haq ◽  
Raja Muhammad Shoaib

Social capital is manifested through the relationships and networks that the human species own. Further, it is strengthened with trust and reciprocity. It inculcates the value of helping each other based on the principle of ‘Mutually Beneficial Actions’. Various actors and agents play their roles in producing the social capital, yet women play the most vital role in its production due to their domestic chores, more frequent engagement with family and neighborhood. Thus, it is an essential to know that if she takes an equivalent benefit from the social capital. The primary objective of the present research determines out the role of social capital in women’s career planning. The informal social networks, family, friends, and neighborhood are selected to the social capital. In the meantime, 150 female respondents from the University of the Punjab were selected using the non-probability convenience sampling technique from the final year of the Masters and Bachelors program. The findings of the study showed as the positive relation of social capital with career planning.


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