scholarly journals Supply chain dynamism, information sharing, inter-organisational relationships and supply chain performance in the manufacturing sector

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Moipone W. Mashiloane ◽  
Chengedzai Mafini ◽  
Raborale D.I. Pooe

Orientation: Manufacturing supply chains in South Africa are susceptible to various internal and external threats that continue to suppress their performance. Information is required that can be used by firms in such environments to overcome the existing threats and improve their supply chains.Research purpose: This study sought to examine the relationship between supply chain dynamism, information sharing and inter-organisational relationships and supply chain performance in the manufacturing sector in South Africa.Motivation for the study: There is a gap in literature on the linkage between supply chain dynamism, information sharing and inter-organisational relationships and supply chain performance in the South African manufacturing sector.Research design, approach and method: Empirical data were collected from a purposive sample of 340 supply management professionals recruited from 31 manufacturing firms based in Gauteng Province. Data were analysed using structural equation modelling, which involved a confirmatory factor analysis and hypotheses tests.Main findings: The results indicate a significant positive relationship between supply chain dynamism and both information sharing and inter-organisational relationships; between information sharing and both inter-organisational relationships and supply chain performance; and between inter-organisational relationships and supply chain performance.Practical/managerial implications: Supply management professionals in the manufacturing sector may use the results of this study as a tool in the diagnoses of supply chain performance-related problems, by checking for the proper alignment of the factors considered in the research.Contribution/value-add: These results validate the importance of effective supply chain management practices in shaping supply chain performance in manufacturing environments. By monitoring and responding positively to the changes in key resources within manufacturing supply chains, managers can be able to improve the sharing of information and develop better relationships among trading partners, leading to superior performance of the entire supply chain.

2020 ◽  
Vol 8 (5) ◽  
pp. 58-67
Author(s):  
Sahar E-Vahdati ◽  
Mohsen Akbari ◽  
Khosro Habibi

Purpose of the study: This study aims to examine the influence of supply chain management practices on the performance of the supply chain in oil and gas companies in Iran. Methodology: This is quantitative survey-based research and sampling is a simple random in which data are collected through a standard questionnaire. The questionnaires are distributed among 170 respondents in west oil and gas companies in Iran. The sample consists of 78% male and 22% female, who are mostly from the age range of 35-45. For hypotheses testing, descriptive statistics and structural modeling systems are used through SPSS and AMOS software to investigate the relationships between variables. Main Findings: The finding reveals that all supply chain management practices, namely supply chain unity, information sharing, and partner relationship management, have a significant positive impact on supply chain performance. Applications of this study: The findings of the study can be implemented in the oil and gas industry to enhance supply chain performance. Besides, chain managers will understand the effects of implementing effective and high-quality supply chain unity, information sharing, and partner relationship management in performing of the supply chain in their companies. Novelty/Originality of this study: This study contributes to the literature by utilizing the social exchange theory in the relationship between supply chain management practices and supply chain performance in oil and gas companies.


2019 ◽  
Vol 25 (1) ◽  
pp. 17-34 ◽  
Author(s):  
Mahour Mellat Parast

Purpose This paper aims to examine the relationship between supply chain quality management practices and their impact on supply chain performance. The authors define and operationalize supply chain quality management practices that enhance knowledge creation and learning in a supply chain. Design/methodology/approach Data are collected from logistics and supply chain managers in the USA to examine the validity and reliability of the model for supply chain quality. Findings The empirical result provides support for the reliability and validity of the proposed model, the constructs used in the model, and the interrelationships among key constructs of supply chain quality. The authors show that trust is the main predictor of supply chain quality practices and supply chain quality performance outcomes. In addition, the findings show that the impact of trust on process improvement is mediated by information sharing, inter-firm trust and information sharing are significant predictors of supply chain satisfaction, and inter-firm trust and process improvement are significant predictors of supply chain performance. Implications of the research for the theory and practice of supply chain management and quality management are presented. Practical implications This study provides important insights into effective implementation of quality management across the supply chain. Supply chain managers should realize that achieving improvement in many supply chain activities such as information sharing or process improvement requires organizations to be engaged in trust-based activities. In that regard, it is important for supply chain managers to be engaged in developing relationships with their supply chain partners that enhance inter-organizational trust. Originality/value This is the first study that examines a supply chain quality management model from the learning perspective. The authors validate the supply chain quality framework proposed by Parast (2103) through operationalization of the constructs, development of the relationship among key supply chain quality practices and empirical assessment of the structural model for supply chain quality.


SAGE Open ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 215824402110000
Author(s):  
Jamshed Raza ◽  
Yuxin Liu ◽  
Jianwei Zhang ◽  
Nan Zhu ◽  
Zohaib Hassan ◽  
...  

This study aims to build and examine a model of sustainable supply management (SSM) practices and sustainability performance (SP) from a dynamic capability perspective. More precisely, this article examines whether SSM practices have an affect on SP, and this relation is mediated by supply chain risk management (SCRM) and network capability (NC), and moderated by firm size. We collected data from 436 supply management professionals through a survey instrument from six manufacturing and logistics companies in China. The hypothesized direct and indirect linkages were tested through structural equation modeling. Our findings highlight that SSM practices positively affect SCRM, NC, and SP. The link between SSM practices and SP is mediated by SCRM and NC. The results indicate that firm size moderate the hypothesized relationships differentially based on small and medium-sized enterprises (SMEs) versus large enterprises. Our study is novel in establishing empirically how SSM practices influence SP as an integrative model bringing together firm size, SCRM, and NC. Our empirical results have critical implications for both supply chain management literature and supply management professionals.


2021 ◽  
Vol 2 (1) ◽  
pp. 1-26
Author(s):  
Trisha Nag ◽  
Dr. Shameema Ferdausy

Purpose: The paper aims to examine the association between supply chain management practices (SCMP) and supply chain performance (SCP) in the manufacturing industries of Bangladesh. SCMP was classified as strategic supplier partnership (SSP), customer relationship (CR), information sharing level (IS), information quality level (IQ), and postponement (POS). Methods: It is a quantitative research based on a survey questionnaire. Supply chain management practices were measured by items adapted from Li, Nathan, and Rao (2006), while supply chain performance was measured by using key supply chain performance indicators suggested by Ambe (2013). Using convenience sampling technique, data were collected from 203 executives involved in supply chain activities working in different manufacturing organizations in two major cities of Bangladesh (Dhaka and Chittagong). Descriptive statistics, bivariate correlation, and regression analysis were used to analyze the data. Results: Results demonstrated a positive correlation between supply chain management practices and supply chain performance (r=0.67**). However, strategic supplier partnership, customer relationship, and postponement are more strongly related to improving supply chain performance than information sharing level and information quality level. Implications: A significant implication of the study is that manufacturing organizations should develop supply chain management capabilities to improve supply chain performance and they should begin with developing their level of information sharing and level of information quality. Limitations: The use of the convenience sampling technique limits the generalizability of the findings. The small sample size (n=203) also warrant caution in interpreting the results. 


2010 ◽  
pp. 1946-1955
Author(s):  
Clay Posey ◽  
Abdullahel Bari

Practically all supply chains operate under conditions of uncertainty. To mitigate this uncertainty and increase performance, organizations within chains exchange information to achieve operational cohesion. However, as some researchers have noted, some supply chains benefit more from increased levels of information sharing than others (e.g. Cachon & Fisher, 2000). To assist in explaining the performance differences experienced by supply chains engaged in information-sharing activities, we introduce a new perspective of information sharing within supply chains based on organizational information processing theory (Galbraith, 1973). More specifically, our work and derived conceptual model posit that individual supply chains may be examined as single information processors and that their characteristics can induce complexities in the shared information which subsequently influence how supply chains process this information. Furthermore, the degree to which supply-chain members’ information systems are compatible with each other is posited to also play a significant role in information-processing capabilities.


2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Massimiliano Ferrara ◽  
Mehrnoosh Khademi ◽  
Mehdi Salimi ◽  
Somayeh Sharifi

In this paper, we establish a dynamic game to allocate CSR (Corporate Social Responsibility) to the members of a supply chain. We propose a model of a supply chain in a decentralized state which includes a supplier and a manufacturer. For analyzing supply chain performance in decentralized state and the relationships between the members of the supply chain, we formulate a model that crosses through multiperiods with the help of a dynamic discrete Stackelberg game which is made under two different information structures. We obtain an equilibrium point at which both the profits of members and the level of CSR taken up by supply chains are maximized.


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.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Edgar Ramos ◽  
Andrea S. Patrucco ◽  
Melissa Chavez

Purpose Considering the unprecedented supply chain disruptions due to the COVID-19 pandemic, especially in the agri-food sector, the possession of dynamic capabilities (DCs) – particularly, the need for higher agility – seems to be the key to survival in highly uncertain environments. This study aims to use the dynamic capability view (DCV) theory to analyze how three key supply chain capabilities – organizational flexibility, integration and agility – should be combined to obtain the desired supply chain performance. Design/methodology/approach The authors designed a conceptual model in which the relationships between these three key capabilities and supply chain performance were hypothesized. The model was first tested through partial least square regression using survey data collected from 98 members of the Peruvian coffee supply chain. A fuzzy-set qualitative comparative analysis (fsQCA) was conducted to uncover how DCs could be combined in successful supply chain configurations. Findings The authors show that organizational flexibility is a driver of higher agility in agri-food supply chains, together with external and internal supply chain integration, that have a direct impact on agility, which positively affects supply chain performance. Higher levels of supply chain agility are necessary but insufficient to guarantee high performance, as sufficiency is reached when both integration (internal and/or external) and agility are present. Originality/value This study represents a pioneering attempt to apply the DCV theory to agri-food supply chains – characterized by many sources of uncertainty. All the DCs are included within the same model and the joint use of PLS regression and fsQCA provides evidence about the relationships between DCs and how they can empower agri-food supply to obtain the desired performance.


Author(s):  
Antonina Tsvetkova ◽  
Britta Gammelgaard

PurposeThe purpose of this paper is to explore how supply chain strategies emerge and evolve in response to contextual influence.Design/methodology/approachA qualitative single-case study presents the journey of a supply chain strategy, conceptualised as the idea of transport independence in the Russian Arctic context. Data from 18 semi-structured interviews, personal observations and archival materials are interpreted through the institutional concepts of translation and editing effects.FindingsThe study reveals how supply chain strategies evolve over time and can affect institutional factors. The case study further reveals how contextual conditions make a company reconsider its core competencies as well as the role of supply chain management practices. The findings show that strategy implementation through purposeful actions can represent a powerful resistance to contextual pressures and constraints, as well as being a facilitator of change in actual supply chains and their context. During the translation of the idea of transport independence into actions, the supply chain strategy transformed itself into a form of strategic collaboration and thereby made supply chains in the Russian Arctic more integrated than before.Research limitations/implicationsMore empirical studies on strategy implementation in interaction with contextual and institutional factors are suggested. An institutional process perspective is applied in this study but the authors suggest that future research should include a human dimension by an exploration of day-to-day routines and challenges that employees face when strategising and the actions they take.Originality/valueThe study provides an understanding of how a new supply chain strategy emerges and how it changes during implementation. In this process-oriented study – merging context, process and strategy content – it is further shown that a supply chain strategy may affect the context by responding to contextual and institutional challenges.


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