Supply chain management practices as a mediator of the relationship between operations capability and firm performance

The current study uses mediated regression analysis and structural equation modelling to test the proposition that supply chain management practices mediate the relationship between operations capability and firm performance. Operations capability is defined in terms of a firm's new product design and development, total quality management and just-in-time capabilities. Results support the research model and also suggest the existence of a direct relationship between operations capability and performance.     

The impact of total quality management on supply chain management and firm's supply performance

This research investigates the relationships among total quality management practices (TQMP), supply chain management practices (SCMP) and firm's supply performance (FSP) in the automotive industry in Thailand. The measurement instruments for SCMP, TQMP and FSP were developed based on an extensive literature review and verified by experts, pilot test and various statistical techniques to ensure reliability and validity in structural equation modeling constructs. The hypothesized model was tested through a path analysis. Qualitative case studies of two large first-tier automotive suppliers were conducted to obtain more in-depth information. We found that the set of SCMP, TQMP and FSP measures are reliable and valid for Thailand's automotive industry. TQMP not only has a significant direct positive impact on SCMP and on FSP but also a significant indirect positive impact on FSP through SCMP.     

The impact of supply chain analytics on operational performance: a resource-based view

This study seeks to better understand the role of supply chain analytics (SCA) on supply chain planning satisfaction and operational performance. We define the architecture of SCA as the integration of three sets of resources, data management resources (DMR), IT-enabled planning resources and performance management resources (PMR), from the perspective of a resource-based view. Based on the data collected from 537 manufacturing plants, we test hypotheses exploring the relationships among these resources, supply chain planning satisfaction, and operational performance. Our analysis supports that DMR should be considered a key building block of manufacturers’ business analytics initiatives for supply chains. The value of data is transmitted to outcome values through increasing supply chain planning and performance capabilities. Additionally, the deployment of advanced IT-enabled planning resources occurs after acquisition of DMR. Manufacturers with sophisticated planning technologies are likely to take advantage of data-driven processes and quality control practices. DMR are found to be a stronger predictor of PMR than IT planning resources. All three sets of resources are related to supply chain planning satisfaction and operational performance. The paper concludes by reviewing research limitations and suggesting further SCA research issues.     

On differences in how operations and supply chain managers approach quality management

In this research, we administered surveys to operations and supply chain managers from different companies to better understand how they approached quality management. The underlying research question was whether the increased emphasis in supply chain management in the workplace had implications for how quality management is practiced and how quality-related values are emphasised. We found that those who identified themselves as supply chain managers utilised and emphasised quality tools and values to a greater extent than those who identified themselves as operations managers. The tools emphasised by supply chain managers included benchmarking, complaint resolution, design for the environment, ERP, supplier development, focus groups, and supply chain management. The primary theoretical implication of this study is that there exists an emerging field that we can term ‘supply chain quality’. This study provides a preliminary outline of the domain of this field.     

Towards a better understanding of supply chain quality management practices

This paper reports the results of a comparative study of quality tools and methods adoption by operations and supply chain managers. A survey was administered to both types of managers in the Western United States. Performing a Kruskal Wallis analysis, we found support for the hypothesis that operations and supply chain managers approach quality management differently. We found that operations managers tend to manage supply chains through procedural methods such as ISO 9000 and supplier evaluation. Supply chain managers tend to be more collaborative, emphasising supplier development and complaint resolution. We found that both types of managers adopted on the job training, data analysis, supply chain management, customer relationship management, project management and surveys. This paper represents another step in defining the field of supply chain quality management.     

An institutional theory perspective of business continuity planning for purchasing and supply management

Supply chains are increasingly susceptible to unplanned, unanticipated disruptions. With the implementation of the practices of lean systems, total quality management (TQM), time-based competition and other supply chain improvement initiatives, managers now realize that their supply chains are fragile, particularly to environmental disruptions outside their control. As a result of recent events including 11 September 2001, a system is now emerging in purchasing to manage supply risk characterised as having a very low probability of occurrence, difficult to predict, and with a potentially catastrophic impact on the organization. This paper presents case study research findings examining how and why firms create business continuity plans to manage this risk. Propositions are then presented from an institutional theory perspective to examine how various isomorphic pressures result in firms having similar risk management practices embedded in their supply management practices over time.     

运用环境管理体系标准助力绿色供应链管理相关政策制度的实施

近年来,供应链与环境问题的相关性正日益增加,绿色供应链管理越来越受到公众各界的高度关注,标准化对于相关政策制度的实施也起到越来越重要的支撑作用,由此引发了我们关于贯彻实施环境管理体系标准如何助力绿色供应链管理的诸多思考.本文综述了国内外绿色供应链管理政策和标准发展历程,提出了实施环境管理体系标准要求助力绿色供应链管理相关政策制度实施的实践重点和建议.     

Supply chain management and environmental technologies: the role of integration

As corporations attempt to move toward environmental sustainability, management must extend their efforts to improve environmental practices across their supply chain. To date, the literature characterising environmental management within the supply chain has been slowly building, but remains sparse. Moreover, investment by plants in environmental technologies cannot be made independently of other organisations in the supply chain. The linkage between supply chain characteristics, such as the degree of integration with primary suppliers and major customers, and the resources invested in different environmental technologies is assessed with plant-level survey data. The results indicate that resources were increasingly allocated toward pollution prevention when plants developed extensive strategic-level integration with suppliers, including such aspects as product development and knowledge sharing. However, these effects were not mirrored with customers. Instead, greater supply chain integration with customers was significantly related to pollution control. Collectively, these findings suggested that downstream supply chain members tend to favour prevention while simultaneously shifting the burden for control to upstream members.     

Examining the effects of green supply chain management practices and their mediations on performance improvements

Environmental pressures have caused green supply chain management (GSCM) to emerge as an important corporate environmental strategy for manufacturing enterprises. For manufacturers to fully realise the performance potentials of GSCM, they need to integrate internal GSCM practices emphasising functional coordination with external GSCM practices such as cooperation with suppliers and customers in the implementation. Using coordination theory, this article examines three models used to evaluate the mediation relationships between the external and internal practices of GSCM with respect to environmental, economic, and operational performance. We posit that the strategic stance of manufacturing enterprises in improving their overall performance and competitive position requires a joint coordination of internal and external GSCM practices. Survey data collected from 396 Chinese manufacturing enterprises are used to validate our arguments by testing the mediation effects of two categories of GSCM practices. Our empirical results show support for the mediation effects, which indicates the importance for manufacturers to coordinate between the internal and external aspects of implementing GSCM practices to reap the performance benefits. Coordinating internal and external GSCM practices to seek performance improvements is an important aspect of the manufacturing operations strategy. The dynamics of implementing GSCM practices and the performance contingencies are worthwhile topics to pursue in future research.     

Supply chain relationship quality and performance in technological turbulence: an artificial neural network approach

A well-functioning supply chain management relationship cannot only develop seamless coordination with valuable members, but also improve operational efficiency to secure greater market share, increased profits and reduced costs. An accurate decision-making system considering multifactor relationship quality is highly desired. This study offers an alternative perspective and characterisation of the supply chain relationship quality and performance. A decision-making model is proposed with an artificial neural network approach for supply chain continuous performance improvement. Supply chain performance is analysed via a supervised learning back-propagation neural network. An ‘inverse’ neural network model is proposed to predict the supply chain relationship quality conditions. Optimal performance parameters can be obtained using the proposed neural network scheme, providing significant advantages in terms of improved relationship quality. This study demonstrates a new solution with the combination of qualitative and quantitative methods for performance improvement. The overall accuracy rate of the decision-making model is 88.703%. The results indicated that trust has the greatest influence on the supply chain performance. Relationship quality among supply chain partners impacts performance positively as the pace of technological turbulence increases.     

Strategic purchasing,supply management practices and buyer performance improvement: an empirical study of UK manufacturing organisations

Purchasing is increasingly seen as an important strategic activity of the firm. However, there is little evidence examining the effects of strategic purchasing on a firm's inter-organisational supply management practices and performance. The purpose of this paper is to examine the effect of strategic purchasing on the supply management practices of socialisation, supplier integration and supplier responsiveness, together with relationship performance. Using empirical data collected from 111 United Kingdom purchasing executives, a structural equation model is used to test the theoretical framework. The results provide support for four of the six hypotheses developed. Strategic purchasing was found to have an indirect, significant effect on improving buyer performance, acting through supplier integration. Strategic purchasing also had a significant effect on the use of socialisation mechanisms, but not on supplier responsiveness. Our research indicates that close, long-term supplier relationships can lead to the creation of relational rents. Implications for future research and suggestions for improving the rigour of strategic purchasing research are made.     

Agile supply chain strategy and supply chain performance: complementary roles of supply chain practices and information systems capability for agility

The paper examines the mediating effect of supply chain (SC) practices on the relationship between agile supply chain (ASC) strategy and SC performance. It further examines the moderating effect of information systems (IS) capability for agility on this mediated relationship. Using the theoretical lenses of complementarity and the information processing view of the supply chain, we hypothesise that strategic supplier partnership, customer relationship, postponement and lean practices, mediate the relationship between ASC strategy and SC performance. We further hypothesise that IS capability for agility moderates each of these mediated relationships. We empirically test the hypotheses using survey data from members of senior and executive management in the logistics/supply chain functions of 205 firms. The paper contributes to the literature on ASCs by theoretically explaining and empirically demonstrating how SC practices and IS capability for agility act together to effect a positive relationship between ASC strategy and supply chain performance.     

Developing global supply chain quality management systems

This paper presents a global supply chain quality management (SCQM) framework as an extension of the traditional supply chain operations and quality management. Three distinct groups of variables are adopted in this study to illustrate the conceptual framework: a hierarchy of design variables, a hierarchy of system variables, and a hierarchy of problem solving methods. The aim of this theoretical framework is to offer practical guidelines to global business leaders and their value chain partners. This study also involves interviews with senior executives from a multinational enterprise in Taiwan. Four major SCQM themes are identified – design for six sigma (DFSS); international standards; supply chain management (SCM); global leadership and human resource management. In this study, we also view the cycle of decision making as an integral part of any global SCQM strategy. The analytic hierarchy process (AHP) is used to develop priority indices for the following three hierarchical levels: environmental scanning, strategic choice, and tactical choice. The presented framework adopts a systems approach and ensures that quality conscious products are designed, manufactured, and distributed.     

Postponement in supply chain risk management: a complexity perspective

While the poor response implications of supply are often not elaborated on in the literature, postponement has recently been mentioned as a useful tool for managing supply risk and disruptions. To interpret this in a more complete manner, this paper has attempted to explore the role of postponement in supply chain risk management from a complexity perspective. After a review of the relevant literature, it first draws insights emerging from normal accident theory that addresses the system characteristics of catastrophic accidents and applies them to supply chain disruptions. This is followed by the utilisation of normal accident theory to explain the role of postponement in supply chain risk management. Building on this, this paper also investigates the complexity implications of some commonly recommended measures to mitigate supply chain disruptions. In certain circumstances, the introduction of those measures may add to the complexity of a system and thus become inherently infeasible. The paper concludes with a summary and some suggestions for further research.     

Sustainable supply chain management in Indian organisations: an empirical investigation

The present work is an attempt to investigate the adoption of sustainable supply chain management (SSCM) practices amongst manufacturing and process based organisations in India and its impact on organisational performance encompassing all three dimensions of sustainability. SSCM practices conceived in the present study include environmental management practices (EMP), socially inclusive practices for employees (SPE), socially inclusive practices for community (SPC), operations practices (OP) and supply chain integration (SCI) which were treated as exogenous variables. Organisational performance considered in this study includes five dimensions, namely environmental performance (EPR), employee-centred social performance (ESP), community-centred social performance (CSP), operations performance (OPR) and competitiveness, which were regarded as endogenous variables. The analysis was carried out with the help of structural equation modelling considering natural logarithm of manpower as a control variable. Few major findings are mentioned. EMP does not have any significant association with OPR, nor does it result in competitiveness. However, when jointly mediated through both EPR and OPR, EMP leads to competitiveness. SPC has significant negative association with competitiveness, when only direct relationship is considered. However, indirect relationship between SPC and competitiveness shows significant positive association when mediated through CSP. The resultant total effect between SPC and competitiveness turns out to be insignificant. Further, OPR fully mediates the relationship between OP and competitiveness. Managerial implications of the findings are discussed.     

How supply quality management improves an organization's quality performance: a study of Chinese manufacturing firms

Because of unfavourable economic conditions, organizations worldwide have to constantly reconstruct their business strategies in order to survive. Recent studies have stressed the importance of supply quality management (SQM) for the general competitiveness of manufacturers. However, very little empirical research has been carried out that specifically examines how SQM practices lead to improvements in quality across an organization. To scrutinise the impact of SQM practices, a survey was conducted of 138 leading manufacturing companies in the Pearl River Delta (PRD), a manufacturing hub in southern China dubbed ‘the factory floor of the world’. By using path analytic techniques, a model was constructed to portray the relationships among SQM practices and organizational quality performance. This model could act as a tool of reference for companies seeking to improve their SQM systems, and help them in their efforts to raise quality across the company. This paper demonstrates that quality-conscious management practices speed up the implementation of SQM practices. This paper finally reveals the influential effect of SQM practices on both supply quality and organizational quality performance.     

Flexibility in manufacturing enterprises

A manufacturing enterprise is a collection of interrelated, flexible, optimized business processes delivering value to the customers through high quality products and services, faster than competition. This view of an enterprise enables one to consider the entire business system including the suppliers, product development, manufacturing, logistics, distribution, and retailing and to smoothen out the interfaces between them. Performance measures and performance measurement are important for monitoring, control and management. We identify and discuss eight performance measures for generic business processes. These include lead time, customer service, dependability, quality, flexibility, cost, capacity, and asset utilization. In this paper, we concentrate on flexibility of business processes with special emphasis on the supply chain and order-to-delivery processes. We attempt to provide clear definitions and measures of various types of flexibilities as well as discuss the relationship between product structure and supply chain flexibility. The relationship between uncertainties, flexibility, technology, and product structure is clearly brought out in this paper.     

Total quality management: An empirical test for mediation effect

This study reviews empirical studies of total quality management (TQM) and has identified four different approaches of examining TQM practices-performance relationships. It reveals that a consensus on how TQM practices affect quality performance has yet to emerge. Based on their findings, some researchers conclude that 'supportive' practices can bring quality improvement, while some indicate that 'core' practices do. To add to the complexity, some support both. The current study seeks to examine the relationship between supportive and core TQM practices and their direct and indirect effects on quality performance. A mediation model was hypothesized and tested by hierarchical multiple regression based on a sample of 25 electronics companies in Hong Kong. In general, the survey study gives further support for the interdependent nature of TQM practices. The results showed that the effect of training and employee relations on quality performance might be largely transmitted by certain core quality management practices. In particular, it suggests that core TQM practices mediate the effect of supportive TQM practices on quality performance when the practices are taken as two integrated factors. Both researchers and practitioners are advised to consider the interdependencies of supportive and core factors when assessing the impact of any new technology or new management technique on an organization.     

Are quality management practices enough to improve process innovation?

The popularity of quality management as a system for continuous improvement has not been accompanied by deep theoretical understanding of its effects on process innovation. In this work, the resource-based view serves as the basis for the construction of a model designed to explain the effects of quality management practices (QMP) on process innovation performance and the mediating role of dynamic capabilities in this relationship. The empirical data were analysed using the structural equation modelling technique by examining 6 competing models that represent full, partial mediation and non-mediation relationships on a sample of 550 Spanish industrial companies. The findings indicate that the implementation level of QMP is not directly related to process innovation performance, but learning and technological capabilities fully mediate this relationship. Therefore, QMP needs to enhance and develop dynamic capabilities to effectively achieve the improvement and transformation of a firm’s processes.     

Fuzzy QFD for supply chain management with reliability consideration

Although many products are made through several tiers of supply chains, a systematic way of handling reliability issues in a various product planning stage has drawn attention, only recently, in the context of supply chain management (SCM). The main objective of this paper is to develop a fuzzy quality function deployment (QFD) model in order to convey fuzzy relationship between customers needs and design specification for reliability in the context of SCM. A fuzzy multi criteria decision-making procedure is proposed and is applied to find a set of optimal solution with respect to the performance of the reliability test needed in CRT design. It is expected that the proposed approach can make significant contributions on the following areas: effectively communicating with technical personnel and users; developing relatively error-free reliability review system; and creating consistent and complete documentation for design for reliability.