The impact of supply chain management practices on competitive advantage and organizational performance

Effective supply chain management (SCM) has become a potentially valuable way of securing competitive advantage and improving organizational performance since competition is no longer between organizations, but among supply chains. This research conceptualizes and develops five dimensions of SCM practice (strategic supplier partnership, customer relationship, level of information sharing, quality of information sharing, and postponement) and tests the relationships between SCM practices, competitive advantage, and organizational performance. Data for the study were collected from 196 organizations and the relationships proposed in the framework were tested using structural equation modeling. The results indicate that higher levels of SCM practice can lead to enhanced competitive advantage and improved organizational performance. Also, competitive advantage can have a direct, positive impact on organizational performance.     

The dynamics of customer dissatisfaction in supply chains

This paper describes field research and its findings that investigate the relationship of a firm's position in the supply chain to behaviour. Specifically, perceptions of requirements, performance and customer satisfaction/dissatisfaction are the behavioural issues of interest here. The field research was carried out in four European supply chains in the automotive aftermarket, or spares industry. It was proven statistically and qualitatively that, in the chains studied, upstream relationships contained more customer dissatisfaction and more misperceptions about performance than did downstream relationships. Delivery performance was identified as the major cause of these problems, This has implications for planning and control. First, the Forrester-type swings in information upstream, proven in industrial dynamics, make planning and control decisions more difficult; this research identifies the detrimental effect of this on customer satisfaction. Secondly, measurement of delivery performance is identified as being a critical issue; not only should measures be made in planning and control but also they should be communicated and agreed with customers to prevent misperceptions occurring. As this research showed these misperceptions to be positively correlated to customer dissatisfaction, efTort to remove them from relationships should be treated as a priority.     

QoS in the internal supply chain: the next lever of competitive advantage and organisational performance

This article presents a research that examines the relationship of quality of service (QoS) and organisational performance in a manufacturing setting. There are few empirical studies that measure QoS in the manufacturing supply chain. A model linking QoS with organisational performance through intermediate variables of satisfaction, loyalty and competitive advantage is introduced and tested in the internal supply chain of three automotive organisations. The research design for this article includes a combination of literature review, exploratory interviews with scholars and practitioners, and a survey of 156 practitioners in three automotive companies in North India. Structural equation modelling has been used for data analysis. This research comes out with four factor scale for internal service quality and six-factor scale for external service quality. The research revealed that employee-driven QoS is a source of value addition that is positively linked with the organisational performance. This study would be of interest to manufacturing industry practitioners interested in internal and external service quality improvements. Future researchers could validate this scale, and empirically test the proposed model.     

Innovations in humanitarian supply chains: the case of cash transfer programmes

Abstract

Cash transfer programmes (CTPs) are revolutionizing humanitarian supply chains (HSCs), yet just how CTPs are to be understood as innovation, and how they impact on HSCs, remains unclear. Innovation in the humanitarian context more often than not stems from outside humanitarian organizations – that is innovation occurs in their supply chain. The aim of this study is to further the understanding of supply chain innovation (SCI) in the humanitarian context. Based on empirical evidence this article suggests a supply chain innovation model (SCIM). This SCIM is useful because it allows different processes to be understood and compared, by providing guidance on how innovations progress. The contribution of this research is threefold: First, the research presents a SCIM for the humanitarian context. Second, this is the first application of a SCIM to the humanitarian environment. Finally, the research is field based and grounded in empirical observations thus adding to the literature and offering insights to practice.     

A hybrid approach to configure eco-efficient supply chains under consideration of performance and risk aspects

Formal models that support multi-criteria decision making represent a strongly growing area in sustainable supply chain management research. However, uncertainties and risks are seldom considered in quantitative models for green supply chain (SC) design. The paper at hand suggests a hybrid approach to configure an eco-efficient SC for a new product under consideration of economic and environmental risks. Discrete-event simulation is applied to assess the financial, operational and environmental performance of different SC configuration options while the value-at-risk concept is adapted to evaluate related SC risks. The analytic hierarchy process is employed to solve the resulting multi-criteria decision problem of choosing the best option. The approach is illustrated at a case example of a fast moving consumer goods manufacturer.     

Using vulnerability performance indicators to attain food supply chain robustness

High effectiveness and leanness of modern supply chains (SCs) increase their vulnerability, i.e. susceptibility to disturbances reflected in non-robust SC performances. Both the SC management literature and SC professionals indicate the need for the development of SC vulnerability assessment tools. In this article, a new method for vulnerability assessment, the VULA method, is presented. The VULA method helps to identify how much a company would underperform on a specific Key Performance Indicator in the case of a disturbance, how often this would happen and how long it would last. It ultimately informs the decision about whether process redesign is appropriate and what kind of redesign strategies should be used in order to increase the SC's robustness. The applicability of the VULA method is demonstrated in the context of a meat SC using discrete-event simulation to conduct the performance analysis.     

Eco-efficient supply chain networks: development of a design framework and application to a real case study

This paper presents a supply chain network design framework that is based on multi-objective mathematical programming and that can identify ‘eco-efficient’ configuration alternatives that are both efficient and ecologically sound. This work is original in that it encompasses the environmental impact of both transportation and warehousing activities. We apply the proposed framework to a real-life case study (i.e. Lindt & Sprüngli) for the distribution of chocolate products. The results show that cost-driven network optimisation may lead to beneficial effects for the environment and that a minor increase in distribution costs can be offset by a major improvement in environmental performance. This paper contributes to the body of knowledge on eco-efficient supply chain design and closes the missing link between model-based methods and empirical applied research. It also generates insights into the growing debate on the trade-off between the economic and environmental performance of supply chains, supporting organisations in the eco-efficient configuration of their supply chains.     

A Structural model for the impact of supply chain relationship traits on project performance in construction

The objectives of this study are to discover the supply chain relationship traits in construction and their impact on the project performance. Using factor analysis technique, the supply chain relationship traits were determined to be collaboration in the supply chain, support and commitment to the supply chain, and sharing the benefits and risks. A two-step SEM model was then established to test the hypothesised relationship between the supply chain relationship traits and the project performance. The findings indicated that the supply chain relationship traits have a significant positive impact on the project performance. This study contributes to the body of knowledge relating to the construction supply chain management. The findings may help the parties to identify the attributes that may improve the relationships among them and result in better project performance.     

Performance of spare parts supply chains in developing industries

Spare parts supply chains of manufacturing equipment in developing industries such as the Saudi manufacturing sector often operate in one direction. Importing production machinery and setups to run such developing industries, from more developed industrial countries, sway the flow of spare supplies upstream. Based on empirical data collected from 210 local manufacturing firms, this study characterises and models such supply chains. The effects of supplier proximity, diversity and time lag on spare parts supply chain performance were explained using structural equation modelling. Delivery time lag and supplier diversity increased the deficiency of spare parts availability. Opposite to earlier consensus found in the literature, the impact of supplier proximity on spare parts supply chain performance was insignificant. Recent improvements in the agility and capacity of logistical services might have diminished the influence of supplier remoteness. However, supplier proximity correlated with supplier diversity in such supply chains.     

Supply chain relationship quality and its impact on firm performance

Abstract

This paper examines the impact of supply chain relationship quality (SCRQ) on firm performance (FP) through the mediators of supply chain management processes (SCMP) and supply chain performance (SCP). In the literature, these linkages have been examined separately; in contrast, this study takes a holistic perspective on the antecedents of FP. The model was tested using survey data from manufacturing companies. Variance-based structural equation modelling revealed that both SCMP and SCP lead to FP, unlike SCRQ. On the other hand, SCRQ affects SCMP. Drawing on the resource-based view, consistency in SCRQ can lead to not only efficient and effective supply chain management but also improvements in FP and SCP. This research has practical implications, providing supply chain decision makers with insights on enhancing FP. Supply chain decision makers will be able to benefit from the findings of our study by improving supply chain relationships with supply chain members and ensuring FP. This research also highlights how effective management of SCRQ, SCMP and SCP can provide better FP and a competitive advantage.     

供应链竞争优势的租金贡献分析与评价研究

运用企业资源理论在竞争优势方面的研究成果及作者以往的研究,提出供应链竞争优势来源的租金贡献分析与评价方法.文章首先概括了资源理论对竞争优势问题的解释,以及作者在供应链资源观模型构建,供应链上下游成员在交易价格与变动成本之间存在的传递关系等方面进行的研究.随后,提出成员企业租金贡献的概念,并给出成员企业租金贡献和供应链竞争优势的相应表述,由此认为供应链竞争优势来源于各个成员企业的租金贡献,但不是它们的简单加和,而是通过水平结构上的依次传递,逐步汇集到供应链最终成员企业而形成的.最后,文章给出供应链竞争优势来源的租金贡献评价方法的模拟评价,说明了该方法在供应链竞争优势分析、供应链构建、成员企业选择与评价等方面的应用.     

Channel coordination in supply chains with agents having mean-variance objectives

This paper investigates the issues of channel coordination in a supply chain when the individual supply chain decision makers take mean-variance (MV) objectives. We propose an MV formulation to capture the risk preference of each individual supply chain agent. Through the studies of a wholesale pricing policy, we find that the incorporation of risk concerns into the setting of supply chain coordinating policy is very important because it can substantially affect the achievability of channel coordination. It is also interesting to find that channel coordination depends on how big the net difference between the risk preferences of the supply chain coordinator and the retailer is. Thus, a slightly risk averse supply chain coordinator can successfully coordinate with a slightly risk prone retailer but not a very risk averse retailer. Numerical analyses are included and managerial insights are developed.     

Development and validation of a lean supply chain management measurement instrument

It is widely argued that to be competitive, a company not only needs to focus on internal aspects but on the entire supply chain. Lean supply chain management has become a means of enhancing competitiveness by improving efficiency and increasing flexibility at all stages of the supply chain. This research develops and validates a lean supply chain management measurement instrument. A two-phase approach is used for scale development and refinement. In the first phase, a literature review is conducted to identify definitions of lean supply chain management and agile supply chain management and their corresponding measurement items. In the second phase, the lean supply chain management measurement instrument is validated using survey data based on scales developed in the first phase by 59 scholars with experience in lean management and/or supply chain management. The results provide a structured and comprehensive measure of lean supply chain management indicating that there are two differentiated dimensions in the measurement instrument: one related to the operational aspects of lean supply chain strategy implementation and the second related to lean supply chain planning.     

Characterizing order processes of using inventory policies in supply chains

This study characterizes order processes under (R,nQ) inventory policies. We show first that the order distribution at an installation is stationary when it uses an (R,nQ) control policy, for any arbitrary stationary distribution of customer demand. We then quantify variance amplification and show that variance of orders is never less than the demand variance. Finally, we extend the analysis to the case where the supply chain comprises of one distributor and N retailers serving customers.     

The relationship between supply chain manager capabilities and performance: empirical evidence

This study seeks to answer the question how supply chain managers’ capabilities impact individual and firm performance. Organisations have begun to recognise the importance of their supply chain and the necessity for qualified supply chain managers. Therefore, there is a need for further research on the impact of these capabilities on individual and firm performance. Sustained performance of a firm depends on dynamic capabilities and it allows firms to align and adapt strategies according to the volatile external environment. Using dynamic capabilities theory, the supply chain manager capabilities model was developed as a way for supply chain managers to effectively use their skills and past experiences to improve their own and firm’s performance. Primary data was collected through a survey distributed to supply chain management professionals. The results strongly support the relationship between technology and soft skills with supply chain manager capabilities. Interestingly, our study identifies sequential relationship amongst the three constructs such as capabilities, individual and firm performance. Capabilities are related with individual performance whereas individual performance is related with the firm performance. However, our findings revealed that there is no direct relationship between supply chain manager capabilities and firm performance.     

A network-based approach to integrated supply chain design

The inherent complexity of supply chains, combined with their economic importance, has prompted research in supply chain management. While there has been a significant amount of work reported in modelling supply chains, the effectiveness of these models in addressing the complex area of supply chain management is questionable. What is giving added urgency to the need for research in this area are the recent developments in communications that offer the promise of connecting suppliers, assemblers and customers in a seamless network of information that can form integrated supply chain management. This paper aims to address the deficiency in modelling by proposing a methodology that models the integrated supply chain as an abstracted network, called a Trans-Net. The Trans-Net approach offers three main potential advantages. First, the multiple participants in a supply chain can be modelled without undue complexity. Second, it is an approach that allows users to examine the interactions between different considerations so that important attributes such as cost and lead-time can be readily calculated and bottleneck areas identified. Third, it applies a mathematical formalism to the problem, with the potential of being relatively straightforward to computerize.     

Integrating performance and risk aspects of supply chain design processes

Abstract

Supply chain design is a complex and relatively poorly structured process, involving choosing many decisional parameters and it usually requires consideration of numerous sources of uncertainty. Many conventional processes of supply chain design involve taking a deterministic approach, using point estimates, on important measures of supply chain effectiveness such as cost, quality, delivery reliability and service levels. Supply chain disruptions are often separately considered as risks, both in the research literature and in practice, meaning that a purely traditional risk management and risk minimization approach is taken. We have developed and applied an approach that combines the intellect and experience of the supply chain designer with the power of evaluation provided by a Monte Carlo simulation model, which uses decision analysis techniques to explicitly incorporate the full spectrum of uncertain quantities across the set of alternative supply chain designs being considered. After defining and setting out the general decision variables and uncertainty factors for 16 distinct supply chain design decision categories, we then apply that approach to combine the decision-makers’ heuristics with the probabilistic modeling approach, iteratively, to achieve the best of both elements of such an approach. This novel approach to fully integrating performance and risk elements of supply chain designs is then illustrated with a case study. Finally, we call for further developmental research and field work to refine this approach.     

Critical factors affecting information sharing in supply chains

Abstract

The aim of this paper is to empirically examine a comprehensive list of factors that are anticipated to affect information sharing (IS) in supply chains (SC) in the context of a landlocked developing country Nepal. A survey questionnaire was developed and data were collected from 131 supply chain participants in Nepal. Exploratory factor analysis and path analysis were conducted to examine the fitness of the proposed model and the relationships between the identified factors and information sharing. The results suggest that interaction routines and personal connection influenced both operational and strategic information sharing while organisational compatibility, incentives, project payoffs, commitment (inter-organisational), top management commitment and supply network configuration affected operational IS and government support and monitoring were associated with strategic IS. The paper provides empirical evidence on how information sharing is affected in the context of a landlocked developing country. The paper also identifies and discusses the similarities and differences in the importance of these factors on information sharing between developed and developing countries. The main limitation is the moderate sample size as compared to the large number of variables contained in the study which may have limited the use of analytical tools. The study provides a better understanding of information sharing behaviours of supply chain participants in Nepal which will help firms to develop strategies accordingly to enhance information sharing.     

Critical success factors of medical technology supply chains

This paper investigates Critical Success Factors that affect the performance of organizations involved in Medical Technology supply chains (MTSCs) in Germany. The Medical Technology sector in Germany is considered an innovative, fast-growing and promising industry, being third behind the USA and China as the biggest market in the world, worth 29.9 billion euros in 2017. MTSCs in this country are under pressure from health service funding and cheaper imports, primarily from China. Consequently, supply chain success is of high importance and OEM operational improvements are critical. This exploratory study involved a multiple case study approach where 15 OEMs within German MTSCs were investigated. Following within-case and cross-case analysis, empirical results led to the development of testable propositions, which constitute a foundation for further research investigation. The findings show that there are six, prioritized Critical Success Factors for MTSCs that include sales and operations planning, product development process and quality and compliance. These findings challenge existing assumptions about Critical Success Factors within MTSCs, providing practitioners with strategies showing that re-prioritized CSFs should improve the operational performance of OEMs.     

The impact of information sharing in supply chains on organisational performance: an empirical study

Information sharing has been cited as one of the major means to enhance supply chain performance. It allows companies to better coordinate their activities with their supply chain partners that lead to increased performance. This study conceptualises and assesses several factors that influence the degree of information sharing in supply chains, namely integrated information technologies, internal integration, information quality and costs–benefits sharing. The relationship between the degree of information sharing and organisational performance is then tested. Data from 150 manufacturing companies were collected and proposed relationships are examined using structural equation modelling. The results show that integrated information technologies and information quality have positive influence on the intensity of information sharing. However, internal integration and costs–benefits sharing do not relate to the intensity of information sharing. This study finds that information sharing does not directly relate to organisational performance. Its relationship is mediated by collaboration practices with supply chain partners. This suggests that information sharing is essential but insufficient by itself to bring significant performance improvements.