Emerald

– The purpose of this research is to explore the resilience domain, which is important in the field of supply chain management; it investigates the effects relational competencies have for resilience and the effect resilience, in turn, has on a supply chain ' s customer value.

– The research is empirical in nature and employs a confirmatory approach that builds on the relational view as a primary theoretical foundation. It utilizes survey data collected from manufacturing firms from three countries, which is analyzed using structural equation modeling.

– It is found that communicative and cooperative relationships have a positive effect on resilience, while integration does not have a significant effect. It is also found that improved resilience, obtained by investing in agility and robustness, enhances a supply chain ' s customer value.

– Some findings contrast the expectations derived from theory. Particularly, practitioners can learn that integration has a limited role in enhancing resilience.

– The study distinguishes between a proactive and reactive dimension of resilience: robustness and agility. The relational view serves as the theoretical basis to explain the effects between three types of relational competencies (communication, cooperation, and integration) and the above-mentioned two dimensions of resilience.

– This paper provides a robust and structured literature review on supply chain resilience (SCRES), the supply chain’s ability to be prepared for unexpected risk events, responding and recovering quickly to potential disruptions to return to its original situation or grow by moving to a new, more desirable state. The purpose of this paper is to analyze the extant research through focussed questions and provide an insightful framework with propositions to guide further publications and identify future research needs.

– The findings underlie a systematic literature review methodology requiring a robust method of literature analysis. The sand cone model is adopted to develop a comprehensive SCRES framework.

– The literature review reveals a strong need for an overarching SCRES definition and a clear terminology for its building elements. It indicates that most research has been qualitative and lacks in assessing and measuring SCRES performance.

– This paper contributes a structured overview of 67 peer-reviewed articles from 2003 to 2013 on an emerging area of supply chain research. The review formulates an overarching definition of SCRES, groups and synthesizes the various SCRES elements into proactive and reactive strategies for the ex-ante/ex-post disruption stage and illustrates SCRES measurement through performance metrics. It provides a comprehensive SCRES framework with propositions and indicates gaps in the literature to target for further development.

To develop an innovative methodology to apply lean value chain improvement techniques to a complete supply chain for a food product from farm to consumer.

Action research based on a UK case study involving farmers, a food processor and a major retailer.

Value stream analysis (VCA) highlights significant opportunities to improve supply chain performance, profitability and relationships.

Lean/VCA methodologies can be readily applied to the retail and processor elements of food chains. However, further research is required to apply the concepts to farm operations.

Subsequent to this research, VCA techniques have been increasingly adopted in UK agri‐food sectors including meat, dairy, cereals and horticulture.

Application of lean concepts and VCA in the agri‐food sector. Development of a multi‐echelon supply chain improvement methodology.

Supply chain resilience (SCR) is a key concept for managers who wish to develop the capacity to enhance their supply chain’s (SC’s) ability to cope with unexpected turbulence. SC digital tools are often seen as a solution that provides more visibility, anticipation and collaboration (SCR capability factors). The purpose of this paper is to investigate the link between SCR and SC digitalisation

A sample was considered with 300 managers in the field of SCM, and the results were analysed using factor analysis and structural equation modelling (SEM). SEM was employed to test the impact of the degree of digital maturity and SC digital tools on SCR.

SC digitalization is characterised by the degree of digital maturity and the adoption of SC digital tools. The degree of digital maturity has a strong influence on digital tool adoption. SCR is positively impacted by both the degree of digital maturity and the adoption of digital tools.

The findings do not indicate which tools contribute the most to SCR.

Managers should reflect on the need to continue digitalizing their SCs if they want greater SCR in the current uncertain environment.

This is the first quantitative study that focuses on assessing the impact of the degree of digital maturity and the SC digital tools adopted on SCR. Validation of the hypotheses model confirms the positive impact of SC digitalisation on SCR for researchers and managers.

Journals in business logistics, operations management, supply chain management, and business strategy have initiated ongoing calls for Big Data research and its impact on research and practice. Currently, no extant research has defined the concept fully. The purpose of this paper is to develop an industry grounded definition of Big Data by canvassing supply chain managers across six nations. The supply chain setting defines Big Data as inclusive of four dimensions: volume, velocity, variety, and veracity. The study further extracts multiple concepts that are important to the future of supply chain relationship strategy and performance. These outcomes provide a starting point and extend a call for theoretically grounded and paradigm-breaking research on managing business-to-business relationships in the age of Big Data.

A native categories qualitative method commonly employed in sociology allows each executive respondent to provide rich, specific data. This approach reduces interviewer bias while examining 27 companies across six industrialized and industrializing nations. This is the first study in supply chain management and logistics (SCMLs) to use the native category approach.

This study defines Big Data by developing four supporting dimensions that inform and ground future SCMLs research; details ten key success factors/issues; and discusses extensive opportunities for future research.

This study provides a central grounding of the term, dimensions, and issues related to Big Data in supply chain research.

Supply chain managers are provided with a peer-specific definition and unified dimensions of Big Data. The authors detail key success factors for strategic consideration. Finally, this study notes differences in relational priorities concerning these success factors across different markets, and points to future complexity in managing supply chain and logistics relationships.

There is currently no central grounding of the term, dimensions, and issues related to Big Data in supply chain research. For the first time, the authors address subjects related to how supply chain partners employ Big Data across the supply chain, uncover Big Data’s potential to influence supply chain performance, and detail the obstacles to developing Big Data’s potential. In addition, the study introduces the native category qualitative interview approach to SCMLs researchers.

The purpose of this paper is to describe the experiences of a wholesaler with time‐driven activity‐based costing (TDABC). Three research questions are addressed: How are complex logistics operations modeled by TDABC? Does TDABC provide more accurate cost information than activity‐based costing (ABC)? How is TDABC cost information used?

Case study research was performed at a Belgian wholesaler. Interviews were conducted. The cost and activity database was analyzed.

This case study illustrates that there are logistics operations that cannot be modeled using a single cost driver, as is done with ABC. TDABC uses time equations to estimate the time spent on each activity. The results herein show how the time equations can capture the different complexities, by including different terms or interaction terms in the time equations. The database analysis clearly demonstrates that TDABC provided more accurate cost information than ABC at this case company. ABC oversimplified 64 percent of the activities, and misallocated 55 percent of all indirect costs.

This study is one of the first, investigating the experiences with TDABC. The results are derived from analyzing all activities, at a single case company.

The study illustrates the technique of TDABC and provides a real company example of time equations in logistics. The users declared the TDABC model very useful for profitability reporting and profit management. The time drivers provided insight into the causes of excessive distribution and logistics costs.

This paper complements current discussion on cost drivers and subtasks and logistics costing.

– The purpose of this paper is to present a content analysis of corporate social responsibility (CSR) reports published by logistics service providers (LSPs), and to analyse factors influencing the level and scope of reporting. In order to address this objective, the authors show to what extent various social and environmental categories are covered in the CSR reports. The authors also investigate whether any differences in the use of CSR indicators can be found with regard to the use of a formal reporting framework, the size of a company, location of its headquarter, and ownership structure.

– The study begins with a comprehensive literature review on the CSR policies and practices in relation to the field of logistics. A database of 350 international LSPs is compiled based on independent rankings of top logistics companies. Applying a content analysis approach, corporate web sites and CSR reports are examined in order to investigate how sustainability is reported and what CSR-related indicators are published. Statistical analysis is carried out to provide insight into whether any differences in the use of CSR indicators can be found with regard to four key factors identified in the literature review.

– Although aspects of sustainability are mentioned on corporate web sites of most LSPs in the database (53 per cent), only 13 per cent publish formal CSR reports. This research identifies a variety of indicators used by LSPs and shows that the use of a formal reporting framework and the size of a company are the two main factors influencing the levels of CSR reporting in the sector.

– This paper provides an insight into how transparently LSPs report on the sustainability of their performance. LSPs can compare their own CSR reporting approaches to the body of scientific literature and the findings presented in this paper, in order to adapt more general concepts and best practice evidence to their needs.

– By focusing on best practice in reporting of the environmental and social performance, this research can potentially improve the long-term sustainability of the logistics sector.

– This is the first study providing a comprehensive review of the CSR reporting practice in the third party logistics sector. As such, this paper provides an important basis for CSR-related research in the field of logistics and supply chain management. Several areas for future research are also identified.

The digital advances in modern industry are accelerating changes in the broad social, economic, political and business environments within which supply chain management (SCM) is practiced. Given this extraordinary contextual upheaval, the conduct of research to identify, define, understand and explain how the digital revolution will impact key SCM concepts is imperative. The purpose of this paper is to introduce a theoretically grounded Digitally Dominant Paradigm (DDP) framework that demonstrates how digital concepts and insights can be infused into existing elements of best-practice SCM, in order to help guide future research.

Middle-range theorizing is proposed as a means to explore the ways in which researchers can explain supply chain phenomena (i.e. build theory) in the age of digitalization.

An example of how a DDP framework can be applied to a well-entrenched logistics/supply chain concept is provided, and the authors conclude by identifying exemplary research propositions for future exploration.

The broad goal of the paper is to spark forward-looking supply chain scholarship based upon development of a DDP of SCM.

The purpose of this paper is to examine the applicability of different drivers for assigning activity costs to products in warehouse logistics environment.

An action research case study in the warehouse logistics of an electronics wholesaler. Data were collected from a single activity which was analysed in depth.

The study illustrates that there may be significant variation in activity costs that cannot be traced with any single transaction‐based driver. Automatic data collection methods can be used to support cost accounting in such a situation. It was clearly demonstrated that in certain environments it is possible to significantly increase the accuracy and versatility of accounting by measuring the actual durations together with other variables.

The results are derived from a single company and activity.

Gives accountants in environments where data is rich and plentiful examples of methods for analysing the data for obtaining a deeper understanding of the cost behaviour of activities and products.

Complements the discussion on activity cost drivers and logistics costing.