Search results

The purpose of this paper is to test the moderating effects of technological and demand uncertainties on the relationship between supply chain integration and customer delivery performance.

Based on a survey questionnaire with 151 participants in the Thai automotive industry supply chain, hierarchical regressions are used to test the moderating effects.

Internal and supplier integration, but not customer integration, were positively associated with customer delivery performance. Technological and demand uncertainties were found to moderate the relationships between internal integration and customer delivery performance, and supplier integration and customer delivery performance.

The moderating effects of technological and demand uncertainties in the Thai automotive just‐in‐time (JIT) environment are explained. This research contributes to the development of a contingency theory of supply chain integration suggesting that the impacts of supply chain integration on customer delivery performance vary under different levels of technological and demand uncertainties.

Managers recognize the diminishing effects of internal integration and supplier integration under demand uncertainty, and the increasing effect of supplier integration under high technological uncertainty.

This study contributes to the supply chain management literature by clarifying the moderating effects of technological and demand uncertainties on the relationship between supply chain integration and customer delivery performance.

The purpose of this paper is to refine a logistics triad uncertainty model taking a supply chain perspective, to determine and assess the different causes and sources of supply chain uncertainty that impact on the sustainability of the UK road freight transport sector.

To clarify the link between sustainability and transport uncertainty, a methodological triangulation strategy is applied combining the results of eight focus groups and an online structured questionnaire.

The findings indicate that the main drivers impacting the sustainability of transport operations are delays, variable demand/poor information, delivery constraints and insufficient supply chain integration. The consequence of these problems is to reduce the efficiency of transport operations.

The model has been refined based only on participants' perceptions. Therefore, the finding should also be verified through the investigation of real‐world situations. Moreover, the transport uncertainty model needs to be incorporated within a wider business process re‐engineering approach to evaluate solutions to reduce transport uncertainty within supply chains.

The findings further strengthen the understanding of the main uncertainty sources within supply chains in the UK. The internal root causes of uncertainty can be mitigated while external issues have to be accommodated; therefore, mitigation techniques, methods and strategies for reducing external and internal supply chain uncertainty in transport operations need to be identified through the research.

This paper determines the industry perceived economic and environmental risks associated with transport operations in four UK sectors.

The concept of uncertainty is a relevant yet little understood area within supply chain risk management. Risk is often associated with uncertainty, but in reality uncertainty is a much more elaborate concept and deserves more in-depth scrutiny. To bridge this gap, the purpose of this paper is to propose a conceptual framework for assessing the levels and nature of uncertainty in this context.

The aim of the study is to link established theories of uncertainty to the management of risk in supply chains, to gain a holistic understanding of its levels and nature. The proposed conceptual model concerns the role of certainty and uncertainty in this context. Illustrative examples show the applicability of the model.

The study describes in detail a way of analysing the levels and nature of uncertainty in supply chains. Such analysis could provide crucial information enabling more efficient and effective implementation of supply chain risk management.

The study enhances understanding of the nature of the uncertainties faced in supply chains. Thus it should be possible to improve existing measures and analyses of risk, which could increase the efficiency and effectiveness of supply chain and logistics management.

The proposed conceptual framework of uncertainty types in the supply chain context is novel, and therefore could enhance understanding of uncertainty and risk in supply and logistics management and make it easier to categorise, as well as initiate further research in the field.

The purpose of this paper is to understand how the consistency between objective and perceived environmental uncertainty might affect supply chain flexibilities that cope with supply chain risk.

This study adopted a case study of comparative four companies in order to obtain an in-depth knowledge of the environmental conditions under which the companies implement different types of supply chain risk management (SCRM) strategies: logistics flexibility and relationship flexibility.

The case analysis not only distinguished the different effects of objective and perceived environmental uncertainty on supply chain flexibility, but also established the propositions about the effects of the consistency between objective and perceived environmental uncertainty on logistics flexibility and relationship flexibility in SCRM.

In principle, supply chain flexibility aims to cope with complex and turbulent environments. Yet, empirical findings about the effects of environmental uncertainty on supply chain flexibility are inconclusive. This study addressed this question by differentiating between objective and perceived environmental uncertainty as well as between logistics and relationship supply chain flexibilities.

Today's businesses are facing a world that is more complex, turbulent and unpredictable than in the past with increasing levels of environmental complexity. Rather than proposing environmental uncertainty as a mediator/moderator of the relationship between agility and performance as others have done, the authors offer an alternative view where supply chain agility is seen as mediating the relationship between environmental uncertainty and supply chain performance.

The authors propose that supply chain agility is a response to the effects of environmental uncertainty and, as such, environmental uncertainty should be seen as a driver of supply chain agility. Few studies test the direct relationship between uncertainty and supply chain performance, and none simultaneously test for agility's mediation and moderation effect between environmental uncertainty and agility.

The model was statistically assessed using partial-least-squares structural equation modeling (PLS/SEM) by analyzing survey data from manufacturing managers in 136 US firms. The study results did not indicate a significant relationship between environmental uncertainty and supply chain performance. However, the authors did find a significant positive relationship between agile manufacturing and supply chain performance using measures that were primarily operations-centered rather than financial. Additionally, the authors found that agile manufacturing fully mediates the relationship between environmental uncertainty and supply chain performance.

The authors’ model, though simple, provides a base for future research for them and other researchers who can incorporate other impacting variables into the model. The study results show that uncertainty can be a force for good and that utilizing agile manufacturing can be a new source of opportunity.

The aim of this study is to understand the effect of a firm's position in a supply chain in its industry on the attitude of the firm toward green strategies through empirical data analysis. This study aims to answer the following research questions: Do the environmental uncertainties a firm faces differ with the firm's position in the supply chain when going green?, Would the motivation of a firm for going green vary with uncertainties it faces in the supply chain? and Would green-related practices a firm accepts or executes vary with the firm's position in the supply chain?

The case study method was utilized in this study. The main objects are firms in the high-tech industry of Taiwan, and 12 firms were selected for in-depth investigation. The unit of analysis was a firm. Face-to-face in-depth interviews, approximately 90-105 minutes for each, were conducted with each of the 12 cases. The respondents were middle- to high-level managers. The interviews were recorded and transcribed. Additionally, second-hand information was acquired regarding each case through channels such as firm web sites, documents, and media reports. These integrated data were later utilized in the single-case and cross-case analysis stages.

In this study, firms of Taiwan's high-tech industry are divided into the upstream (raw material supplier), midstream (original design manufacturers/original equipment manufacturer), and downstream (brand company) categories. It is first found the uncertainties a firm encounters when implementing green practices are related to its position in the supply chain. The closer a firm is to the upstream of the supply chain, the higher the competitive uncertainty. In contrast, the closer a firm is to the downstream, the higher the demand uncertainty. Furthermore, the internal and external driving forces of firms in promoting green practices are related to the types of uncertainties the firms encounter in the supply chain. A firm's internal driving force is positively associated with the demand uncertainty it faces, however, negatively with the competition and supply uncertainties. On the other hand, a firm's external driving force is positively associated with the competition and supply uncertainties it faces, however, negatively with the demand uncertainties. Additionally, the association between firm willingness to promote green practices and its position in the supply chain is explored. It is found that, for firms located in the downstream of supply chain, it emphasizes more on the practices of green design, purchase, and internal environmental management. If a firm is located in the midstream of supply chain, it will focus more on the practice of green manufacturing and logistics.

This study has expanded the discussion of green supply chain management. It establishes the relationship between the uncertainties and the major driving forces of firms for implementing green practices. This approach is rare in previous literature. Furthermore, past literature has suggested that a specific relationship exists between driving factors and firm practices. The author believes that such a relationship must be based on the position of firms in the supply chain; thus, the author has identified the relationship between supply chain position and green practices.

Dynamic demands and constraints imposed by a rapidly changing business environment make it increasingly necessary for companies in the food supply chain to cooperate with each other. The main questions individual (food) companies face are whether, why, how and with whom they should start supply chain management activities. Presents a qualitative research method for analyzing a supply chain network and for identifying effective chain redesign strategies. Presents a generic list of supply chain redesign strategies based on a multi‐disciplinary literature review. Proposes that in order to identify the most effective strategies in a specific chain scenario one should focus on the identification and management of the sources of uncertainties in the supply chain’s decision‐making processes. The application of the research method in three food supply chains resulted in a valuable tool that can be used in supply chain redesign projects, as it indicates potentially effective redesign strategies when a specific source of uncertainty is encountered in a supply chain.

The purpose of this paper is to investigate how business uncertainty affects the implementation of supply chain integration (SCI). More importantly, this research divides business uncertainty into four dimensions and SCI into three dimensions to examine the role of each dimension. In addition, it investigates the moderating effects of manufacturing approaches, such as push and pull, in the relationship between SCI and performance.

Through a structured survey, this study collected 259 responses from supply executives, and supply and purchasing managers of US manufacturing firms. The empirical data analysis was done by using the partial least squares technique.

The results empirically support the findings that business uncertainty positively affects implementation of SCI. Among the four dimensions of business uncertainty, dynamism and hostility significantly affect implementation of internal integration, integration with suppliers, and integration with customers. In addition, manufacturing approaches, such as push and pull, have a moderating effect on the relationship between SCI and performance.

This study collected survey responses from a manufacturing firm in the supply chain to assist managers to find a solution while dealing with business uncertainty through the implementation of SCI. It also emphasizes manufacturing approaches, such as push and pull, in implementing SCI to improve performance. Thus, supply and purchasing managers should consider the business uncertainty that they are dealing with while developing their supply chain strategy.

To the best of the authors’ knowledge, this study is the first to provide meaningful insights on the effects of SCI toward dealing with business uncertainty. More importantly, by dividing the dimensions of business uncertainty and SCI, this study presents empirical evidence of the significant role of supply chain practices in uncertain business conditions. In addition, this study addresses the gap in extant literature and shows that managers need to consider their manufacturing approach in SCI to improve business performance.

Due to increasing supply chain complexity, the supply chain uncertainty has become an imperative issue, which hinders the development of modern logistics and supply chain management. The paper attempts to conceptualize reverse logistics uncertainty from supply chain uncertainty literature and present the types of reverse logistics uncertainty in a triadic model.

The concept of reverse logistics uncertainty is developed based on a triadic model of logistics uncertainty and supply chain uncertainty literature. A desk research is conducted to develop a taxonomy of reverse logistics uncertainty. To better depict the reverse logistics uncertainty, we use case studies to discuss the types of reverse logistics uncertainty in the triadic model.

The study reveals four types of supply chain uncertainties in the reverse logistics. We call them reverse logistics uncertainty. Type-A and Type-B uncertainty are new types of supply chain uncertainty in the reverse logistics.

The types of reverse logistics uncertainty have not been empirically validated in industries. Especially, the two new types including Type-A and Type-B reverse uncertainty need further exploration.

Although reverse logistics has been discussed in the past decades, very few studies have been conducted on the supply chain uncertainty in returns management arena. The paper offers valuable insights to better understand the supply chain uncertainty in the reverse logistics. This also provides suggestions for both managers and researchers to reflect on the reverse logistics uncertainty management and business sustainability.

The purpose of this paper is to empirically investigate effective management strategies for 14 sources of supply chain uncertainty, with a particular emphasis on uncertainties or strategies that involve ethical issues.

Manufacturing strategy theory, underpinned by alignment and contingency theory, is used as the theoretical foundation. Multi-case study data are collected from 12 companies in the Indonesian food industry, including four focal manufacturers, four first-tier suppliers, and four first-tier customers (retailers).

Within the context of appropriately aligned management strategies to address 14 sources of uncertainty, three ethical issues are empirically identified: first, collusion amongst suppliers to ration supplies and increase prices; second, unethical influences on government policy; and third, “abuse” of power by large retailers at the expense of smaller competitors. Joint purchasing is argued to be a key strategy for combatting the first of these ethical issues.

The study is limited to the Indonesian food industry, and so further research is needed in other cultures/contexts.

Management strategies that aim to reduce an uncertainty at its source lead to better overall supply chain performance than strategies that merely cope with uncertainty, which only have an impact on firm-level performance.

The ethical issues identified have implications for fair negotiations between customers and suppliers.

This study is unique in its in-depth case study-based empirical investigation of the management of multiple supply chain uncertainties; and in its discussion of ethical issues in this context.