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The objective of this paper is to illustrate and examine the different flexibility strategies adopted by supply chain participants as a result of different environmental uncertainties.

An exploratory multi‐case study, involving five Chinese companies in the textile and apparel industry, was conducted.

The analysis, based on the supply chain literature, reveals that the unpredictable dynamics of the supply chain can arise from a variety of internal and external sources, including suppliers, operating systems, customers, and competitors. In response to the various environmental uncertainties and risks in the supply chain, four types of flexibility strategy are identified in our case analysis: laggard, conservative, agile, and aggressive. The results also suggest that the adoption of flexibility strategies should match a firm's business environment and that better supply chain responsiveness can be achieved in two ways: by reducing uncertainties and by improving supply chain flexibility.

The key limitation of the study is that it focuses solely on the textiles and clothing industry, which makes it difficult to generalize the results to other industries. Another difficulty arises from the subjective criteria employed in some constructs, such as the perceived aggressiveness of competition, the predictability of customer demand, and the designations of companies in the proposed strategy categories.

The proposed theoretical framework can assist managers in properly diagnosing and deploying supply chain flexibility strategies. The actions identified for promoting supply chain flexibility can also be used to assess the various options for exploiting or acquiring flexibility strategies.

Expanding on the previous research approach of examining flexibility strategies from the perspective of a single firm, this study draws on the multi‐case approach to posit a series of propositions that link the adoption of specific supply chain flexibility strategies to various environmental conditions in a supply chain context and proposes a conceptual framework to illustrate how supply chain responsiveness can be improved in today's volatile market environment.

This paper aims to design an optimal supply chain network and to develop a suitable distribution planning under uncertainty for perishable product's supply chain. The ultimate goal is to help in making decisions under uncertain environments.

In this paper, stochastic programming is used under conditions of demand, supply and process uncertainties, and a non-linear mathematical model is developed for perishable product’s supply chain. Authors’ study considers disruptions in transportation routes and also within the facilities and investigates optimal facility location and shipment decisions while minimising the total supply chain cost. A scenario-based approach is used to model these disruptions. The retailer level uncertainty due to demand-supply mismatch is handled by incorporating the newsvendor model into the last echelon of supply chain network. In this paper, two policies are proposed for making decisions under uncertain environments. In the first one, the expected cost of the supply chain is minimised. To also consider the risk behaviour of the decision maker, authors propose the second policy through a conditional value-at-risk approach.

Authors discuss the model output through various examples that are provided via a case study from the milk industry. The supply chain design and planning of the disruption-free model are different from those of the resilient model.

Authors’ research benefits the perishable products industries which encounter the disruption problems in their transportation routes as well as in the facilities. Authors have demonstrated the research through a real-life case in a milk industry.

The major contribution of authors’ work is the design of the supply chain network under disruption risks by incorporating aspects of product perishability. This work provides insight into areas such as the simultaneous consideration of demand, supply and process uncertainties. The amalgamation of newsvendor model and the approximation of the non-linearity of retailer level cost function especially in the context of supply chain under uncertainty is the first of its kind. We provide a comprehensive statistical study of uncertainties that are present in the supply chain in a unique manner.

The purpose of this paper is to review the growing literature examining supply chain risk management (SCRM) and to develop a typology of risks in the supply chain.

The paper draws its insights and conclusions from a review of the literature on supply chain risk, and a synthesis of the broader domain of risk management.

While the literature on SCRM is growing, the literature lacks an organized structure for the sources of supply chain risk. The current paper bridges this gap by synthesizing the diverse literature into a typology of risk sources, consisting of environmental factors, industry factors, organizational factors, problem‐specific factors, and decision‐maker related factors.

The paper devises a typology that can be used by managers to measure and assess the vulnerabilities of their company and supply chain. The typology also provides avenues for future research that further guides practitioners in the management of their supply chain risk portfolio.

SCRM is rapidly developing into a favored research area for academicians as well as practitioners, especially after the attacks of September 11 and the recent array of natural disasters. This paper develops a methodology for structuring academic inquiry in this important research area.

A growing need for global sourcing of business has subjected firms to higher levels of uncertainty and increased risk of supply disruption. Differences in industry and infrastructure make it more difficult for firms to manage supply disruption risks effectively. The purpose of this paper is to extend developing research in this area by addressing gaps within existing literature related to environmental turbulence and uncertainties.

The authors test the model using data collected from 253 senior managers and directors in the Thai beverage industry using advanced statistical techniques to explore the relationship between representations of supply disruption risk and uncertainty.

The results show that both magnitude and probability of risk impact on the disruption risk, but the probability of loss is a dominant determinant. The authors also find that demand uncertainty and quality uncertainty affect the risk perception of purchasing managers, and are related to the magnitude of disruption risk, rather than the frequency of occurrence. Interestingly, the results show that quality uncertainty negatively impacts on the severity of disruption risk.

The construct validity of demand uncertainty was under the required threshold, intimating the need for further construct development.

The framework provides managers with direction on how to formulate and target their disruption risk management strategies. The work also allows practitioners to critical reflect on implicit risk management strategies they may already employ and their effectiveness.

The paper identifies key antecedents of supply disruption risk and tests them within a novel industrial context of the beverage industry and a novel national context of Thailand.

The purpose of this paper is to discuss how decisions regarding organisational flexibility can be improved through targeted resource allocation, by focusing on the supply chain's level of uncertainty exposure. Specifically, the issue of where and in what ways flexibility has been incorporated across the organisation's supply chain is addressed.

A two-phase methodology design based on literature review and case study was used. Using 83 journal articles in the areas of uncertainty and flexibility an analytical process for assessing uncertainty-flexibility mismatches was developed. Furthermore, results from ten interviews with senior/middle managers within the Australian manufacturing sector were used to provide preliminary insights on the usefulness and importance of the analytical process and its relationship with organisational practice.

The paper emphasises the importance of having a systematic and encompassing view of uncertainty-flexibility mismatches across the supply chain, as well as the significance of socio-technical engagement. The paper both conceptually and empirically illustrates how, using a structured analytical process, flexibility requirements across the supply, process, control and demand segments of a supply chain might be assessed. A four-step analytical process was accordingly developed and, its application, usefulness and importance discussed using empirical data.

The analytical process presented in this paper can assist managers to obtain a comprehensive overview of supply chain flexibility when dealing with situations involving uncertainty. This can facilitate and improve their decision-making with respect to prioritising attention on identified flexibility gaps in order to ensure stability of their performance.

The paper presents a supply chain-wide discussion on the difficulties that uncertainty brings to organisations, and how organisational flexibility might serve to moderate those challenges for supply chain management. It discusses how to identify the flexibility gap and proposes an original analytical process for systematic assessment of uncertainty-flexibility mismatches.

The purpose of this paper is to present an empirical evidence of the impacts of supply chain uncertainty and risk on the logistics performance in the Australian courier industry. This study examines the impacts of supply chain and risk on the logistics performance in the Australian courier industry.

This study provides an in-depth analysis of supply chain uncertainty and risk’s impacts on the logistics performance. The structure equation modelling approach is applied to examine the relationship between supply chain uncertainty and risk and logistics performance. Company-side uncertainty and risk, customer-side uncertainty and risk, and environment uncertainty and risk are used to measure the impacts of supply chain uncertainty and risk on the industry. This paper gives attention to the supply chain uncertainty and risk in the industry.

The results indicate that supply chain uncertainty and risk have negative impacts on logistics performance. Moreover, the greatest impact of supply chain uncertainty and risk was from outside company in the Australian courier industry.

The study focuses on the Australian courier industry, this may limit the implications of findings in different industries. However, the research models may be examined and validated in the different context.

The results may provide directions in the implementation of strategies to manage supply chain uncertainty and risk and improve logistics performance. The findings may enlighten both academics and practitioners to understand and pay attention to the supply chain uncertainty and risk in the courier industry.

There is an argument whether the impacts of supply chain uncertainty and risk are positive or negative in previous studies. In addition, there are very few studies on courier industry. This study clarifies the impacts of supply chain uncertainty and risk on the logistics performance in the courier industry.

Logistics capability is an important ability for transport and logistics firms to deliver the value and services to the customers. In contrast, supply chain uncertainty and risk is an issue in supply chain and logistics to obstruct the delivery. The purpose of this paper is to evaluate and understand the logistics capability, and to provide empirical evidence for logistics capability mitigating supply chain uncertainty and risk in the Australian courier firms.

This study examines the relationship between logistics capability and supply chain uncertainty and risk. Partial least squares approach for structural equation modelling is applied for data analysis involving the interplay of theoretical thinking and empirical data. Empirical data are collected through a web-based survey. Total 98 Australian courier firms are identified and invited in the study.

Based on the factor analysis, the authors identify the key factors of logistics capability for the Australian courier firms. This would help both academics and practitioners to have a better understanding of logistics capability in the transport ad logistics firms. In addition, results indicate that there is a negative relationship between logistics capability and supply chain uncertainty and risk in the Australian courier firms.

The result in support of logistics capability mitigating supply chain uncertainty and risk. It also makes a contribution to logistics risk management literature. The paper focuses on the Australian courier industry. Therefore, any generalisation to other countries or sectors must be made with caution.

This paper provides an insight into supply chain uncertainties and risks management. This would result in the development of a practical guidance for practitioners developing and deploying logistics capability to support and enable supply chain risk management strategies.

The dynamic nature of uncertainty sources in regional operations represents supply chain management (SCM) imperatives to review uncertainty management frameworks on an ongoing basis with a view to identifying and prioritising critical indices of uncertainty for effective SCM. The purpose of this study is to identify the critical indices of uncertainty for regional supply chains and analyse how SCM practitioners perceive uncertainty.

This paper presents a Delphi-based study with a panel of 70 SCM experts from the Sultanate of Oman in the Gulf Cooperation Council (GCC) region. It applies three rounds of a Delphi exercise to identify, select and prioritise the critical indices of supply chain uncertainty perceived by panel experts. The thematic analysis also provides theorisations on the process for uncertainty perception and factors shaping perception.

A total of 39 uncertainty indices were identified from demand, supply, manufacturing, control, technology, competitive, project, transport and geological sources. The Delphi selection round captured the top 12 indices of experts. The research found an accumulative–aggregative duality that explains uncertainty perception and a cost–conformance–connection triadic set of factors underlying the perceived critical indices. Project uncertainty produced the top-ranked index in the final Delphi round.

This paper makes three main contributions. First, it offers a bottom-up based insight into supply chain uncertainty using the Delphi-based study and from a GCC perspective. Second, the research is unique in its focus on Oman and, third, it is of value for the international operations of GCC companies and for international firms with intentions of expanding, moving or outsourcing their operations to a GCC country such as Oman.

The purpose of this paper is to verify a transport uncertainty triad model taking a supply chain perspective, and determine which different forms of uncertainty impact on transport operations. The aim is to qualitatively evaluate the different types of uncertainty impacting on transport operations rather than estimating the risk that each of them involved. The literature indicates that there are many factors that influence transport operations. This paper aims to determine the key factors that impinge practice.

On the basis of a literature review, a conceptual model was developed to categorise the different factors that impact on transport operations. In order to determine the credibility of this model and assess which factors are the main barriers to effective transport operations a series of focus groups involving UK logistics practitioners and policy makers was undertaken.

The findings indicate that the main drivers impacting on transport operations are delays, delivery constraints, lack of coordination, and variable demand/poor information. The consequence of these is to reduce the efficiency of transport operations. Also, in the overall focus groups' data, unplanned road congestion represents the biggest individual issue leading to uncertainty.

The model is refined based only on participants' perceptions. Therefore, further empirical‐based research is needed to quantitatively validate it, for each cluster identifying the frequency with which it occurs and the impact on economic and environmental performance. This will further strengthen understanding of the main uncertainty causes within supply chains in the UK. The model should also be tested through the investigation of real‐world situations, measuring the marginal impact of logistics disruptions, in economic and environmental terms.

The paper highlights the importance of looking at the whole of the logistics triad when dealing with uncertainty, as often there are multiple sources involving the shipper, carrier and customer. Equally, the paper highlights the importance of external factors, and managers need to consider how to deal with these issues. Although the easiest approach is to accommodate them within operational plans, there is scope for engaging with policy makers to identify ways forward.

Many researchers have developed supply chain uncertainty models focusing mainly on manufacturing. Transport has traditionally been considered as a marginal activity within supply chains and it has not been explicitly taken into account in those frameworks. It is necessary to determine the forms of supply chain uncertainty that exist and their impact on transport operations, as they will define the performance of logistics operations.

The purpose of this paper is to develop exploratory propositions and a conceptual framework on the interaction between organisational structure (decision-making centralisation and internal coordination) and the relationship between supply chain fit and firm performance.

Through a case study, two corporate groups with distinctive organisational structures were examined; both are undergoing a critical moment of changes to their top management and are reshaping their corporate and supply chain strategies. Data on decision-making centralisation, internal coordination mechanisms, supply, demand and innovation uncertainties, and supply chain strategies were collected from key respondents.

The analysis conducted suggests the need to consider the joint interaction between organisational structure and supply chain fit in offsetting the implications of a potential misfit on firm performance. Furthermore, the context sensitivity of a supply chain is often overlooked, hence simply modifying supply chain strategy does not necessarily lead to a variation in firm performance.

This research is of particular importance to most organisations in the testing times of uncertainty in the global landscape. It guides supply chain practitioners to better understand which elements of the organisational structure interact with the uncertainty of supply, demand and innovation.

This paper is one of the first to investigate the interaction between elements of organisational structure and supply chain fit and identify decision-making centralisation and coordination as the internal uncertainty factors that are most relevant to supply chain fit research. A conceptual framework has been built for future testing, in which the organisational structure moderates the relationship between supply chain fit and firm performance.