The moderating effect of supply chain role on the relationship between social capital and performance

Author(s):  
Byung Hak Leem ◽  
K.J. Rogers
2018 ◽  
Vol 30 (2) ◽  
pp. 417-437 ◽  
Author(s):  
Badri Munir Sukoco ◽  
Hardi Hardi ◽  
Alfiyatul Qomariyah

Purpose The relationship between buyers and suppliers over the years – social practices – facilitate the development of social capital (SC), and it contributes to the relationship performance (RP) for both parties. The purpose of this paper is to examine the mechanisms that transform SC into RP. By exercising the relationship learning (joint sense-making, information sharing, and knowledge integration), this paper proposes that SC will transform into RP. Design/methodology/approach Quantitative study was employed in this study. Questionnaires were distributed to first-tier supplier of Astra Group (Astra International) in Indonesia. In total, 211 questionnaires were used for data analysis in this study. Findings The results exhibit that cognitive and structural SC contribute to the development of relational SC. Further, relational SC was positively associated with joint sense-making, which then goes through information sharing, knowledge integration, and finally RP. Research limitations/implications The cross-sectional data in a specific context (a firm) in Indonesia serve as a major limitation of this study. The development of SC and learning as a social process might not be captured well by using the current method – surveys. Furthermore, a major problem is caused by a one-sided survey that depends on the suppliers’ perceptions and judgments of relationship learning and performance. Practical implications The results suggest that managers and other relationship actors would benefit from the competency to develop practices and activities with suppliers regarding developing trust. The trust development is facilitated by having common understanding and interactions regularly, either by participating in formal and/or informal activities with suppliers. Building consensus – joint sense-making, between buyers and suppliers are crucial practices in relationship learning before knowledge sharing and knowledge integration practices are in place. And finally, managers should actively integrate this knowledge in order to increase their RP. Originality/value This study empirically tests the supply chain practice view as a new theoretical perspective in the supply chain management literature. It also extends the utilization of social practices – SC – since it is crucial in a buyer-supplier relationship. It also presents that relationship learning is a mechanism that could transform SC into RP, and thus bridge the SC and collaborative learning theory. Finally, this study indicates that inside relational learning, there are sequences of joint sense-making-information sharing-knowledge integration, before it moves on to RP.


Author(s):  
Karani Anthony Muriithi ◽  
Odari Sammy ◽  
Noor Shalle

The manufacturing sector in Kenya is faced by the challenges of performance and unstructured supply chain strategy. Further, the manufacturing sector growth in 2014 was 3.4% compared to a 5.6% growth in 2013 (Waiguru, 2015). This slow growth in manufacturing sector performance can be attributed to several environmental uncertainties such as the general election, high production costs, supply disruptions, political stability, unavailability of raw materials or demand fluctuations, technological changes, employees’ strikes, financial risk, terrorism and competition from imported goods (KNBS, 2018).The purpose of the study was to determine the moderating effect of environmental uncertainties on the relationship between risk hedging supply chain strategy and performance of manufacturing firms in Kenya. The study utilized descriptive research design. The target population was 829 managers from manufacturing firms around the country. A sample of 270 managers was selected using stratified random sampling. Results indicated that risk hedging supply chain strategy explained 63.8% of the total variations in performance of manufacturing firms. In addition, risk hedging supply chain strategy had a positive and significant effect on firm performance (β=0.675, P < .000). With introduction of moderating variable (environmental uncertainties); risk hedging supply chain strategy explained 34% of the total variations in performance of manufacturing firms. This denoted those environmental uncertainties had a negative moderating effect on the relationship between risk hedging supply chain strategy and performance of manufacturing firms in Kenya. The study concluded that risk hedging supply chain strategy had a positive and statistically significant effect on performance of manufacturing firms in Kenya. The study further concluded that environmental uncertainties lower the effect of risk hedging supply chain strategy on firm performance. The study recommends that manufacturing firms should strengthen aspects related to risk hedging supply chain strategy. The firms should particularly strengthen safety stock, suppliers’ management and quality. The improvement of these aspects is expected to enhance performance of the manufacturing firms. This study further recommends that manufacturing firms should factor in environmental uncertainties related to demand, supply and technology when implementing supply chain strategies.


Author(s):  
Anthony Muriithi Karani ◽  
Sammy Odari Namusonge ◽  
Ishmail Noor Shalle

The purpose of the study was to determine the moderating effect of environmental uncertainties on the relationship between lean supply chain strategy and the performance of manufacturing firms in Kenya. The study utilized a descriptive research design. The target population was 829 supply chain managers or directors from manufacturing firms around the country. A sample of 270 supply chain or procurement managers was selected using stratified random sampling. Results indicated that lean supply chain strategy explained 60.7% of the total variations in the performance of manufacturing firms. In addition, lean supply chain strategy had a positive and significant effect on the performance of manufacturing firms. With the introduction of moderating variables (environmental uncertainties); lean supply chain strategy explained 33% of the total variations in the performance of manufacturing firms. This denoted those environmental uncertainties had a negative moderating effect on the relationship between lean supply chain strategy and performance of manufacturing firms in Kenya. The study concluded that lean supply chain strategy had a positive and statistically significant effect on the performance of manufacturing firms in Kenya.


2018 ◽  
Vol 23 (6) ◽  
pp. 500-517 ◽  
Author(s):  
Himanshu Shee ◽  
Shah Jahan Miah ◽  
Leon Fairfield ◽  
Nyoman Pujawan

PurposeTheorising from the intersection of supply chain and information systems (IS) literature, this study aims to investigate supply chain integration (SCI) as a multidimensional construct in the context of cloud-based technology and explores the effect of cloud-enabled SCI on supply chain performance, which will eventually improve firm sustainability from a resource-based view (RBV). In addition, the moderating effect of top management is explored.Design/methodology/approachUsing cross-sectional survey data collected from a sample of 105 Australian retail firms, this study used structural equation modelling to test the hypothesised relationship of cloud-enabled SCI with performance in a theoretical model.FindingsResults show that cloud-based technology has positive effect on SCI, and the cloud-enabled SCI is positively related to supply chain performance which eventually influenced firm sustainability. Further, top management intervention moderates the relationship between supplier and internal integration with supply chain performance. But it is found to have no moderating effect on the relationship between customer integration and supply chain performance.Practical implicationsRecognising the potential benefits of emerging cloud-based technologies reported in this study, retail managers need to understand that higher order SCI requires the support of cloud-based technology to improve supply chain performance and firm sustainability.Originality/valueThis research extends prior research of information and communication technologies-enabled SCI and its effect on supply chain performance which overly remains inconsistent. In addition, IS literature abounds with discussion on cloud computing technologyper se, and its adoption in supply chain is overly rhetoric. This study fills this gap by conceptualising the multiple dimensions of SCI enabled by cloud-based technology and the way it affects supply chain and firm sustainable performance. Investigating SCI in context of cloud-based technology is a unique contribution in this study. The moderating effect of top management in this decision also adds to the current body of literature.


Author(s):  
FÁBIO YTOSHI SHIBAO ◽  
GERALDO CARDOSO DE OLIVEIRA NETO ◽  
FLAVIA CRISTINA DA SILVA ◽  
EDUARDO CABRINI POMPONE

ABSTRACT Purpose: To evaluate the universe of published articles that propose frameworks about the relationship between green supply chain management (GSCM) and performance in the period from 1995 to 2014, in order to propose a conceptual model that can be applied to future studies, considering the green profile besides the practices of GSCM and performance. Originality/gap/relevance/implications: The investigation revealed a lack of relationship among the organizations' profile, its environmental, economic and operational performance and GSCM practices. Key methodological aspects: The relationship among constructs was established through bibliometric analysis obtained in the models/frameworks of GSCM practices and performance extracted from the databases "ProQuest", "EBSCO", "JSTOR", "Web of Science" and "Scopus". Further, the content analysis and network analysis were then performed. Summary of key results: GSCM internal and external practices, environmental performance, economic performance and operational performance were revealed as main topics addressed in GSCM. Moreover, it was noted that studies on internal practices prevailed over those addressed to other practices. Key considerations/conclusions: The models studied did not consider whether the corporate green profile could improve the performance of the organization. Therefore, they did not simultaneously measure environmental, economic and operational performance. It was concluded that the addition of the green profile in conjunction with GSCM practices and performance allows for a more in-depth analysis of the degree of a company's involvement with GSCM, as well as its intended objectives and results achieved in the future.


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