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COVID-19 has highlighted the need to reflect on how firms should improve their supply chains (SCs) to enhance agility and robustness. Recent studies focus more on the short-term rather than on the long-term developments and lack insights regarding the enhancement of supply chain resilience (SCRES) based on the interplay between multiple levers. Therefore, using a long-term perspective, this research evaluates the interaction between three SCRES levers – relationships, technologies and organizational structures – to improve SCRES.

Based on an extensive literature review, multiple interviews and workshops, 13 future projections were developed. These projections were assessed using a two-round Delphi study that included 83 international experts from industry, academia and politics/associations to determine the probability of occurrence by 2035, their impact on SCRES and their desirability.

This study provides empirical evidence that the long-term enhancement of SCRES is achieved through the interplay of multiple levers rather than unilateral optimization. The study suggests that, by 2035, collaboration between SC partners will be a key factor for SCRES enhancement. Additionally, SC stakeholders should be aware that failing to invest in digital technologies will negatively impact the agility and robustness of future SCs. Furthermore, humans are expected to continue to play a major role, given that relationship-oriented tasks are perceived to remain important.

This paper adds to current literature, describing how SCRES can be improved in the long term through the interplay of multiple levers and the combination of robust and agile elements. Considering the importance of ensuring resilient SCs, this paper provides valuable insights for academics and practitioners.

The coronavirus disease 2019 (COVID-19) pandemic unveiled resilience deficits in supply chains. Scholars and practitioners aim to identify supply chain resilience (SCRES) measures suitable for this unique disruption; however, empirical evidence on a pandemic's specific characteristics, resulting challenges, and suitable countermeasures is scarce.

A single-case study on an automotive supply chain network (ASCN), including eight nodes, was conducted. Based on current research and interviews with 35 experts, characteristic pandemic challenges for the ASCN were identified. Moreover, promising SCRES measures were determined along the most prominent SCRES levers. The findings lead to five central propositions and advance organizational information processing theory in the context of SCRES.

This study’s results confirm unique pandemic characteristics along the supply chain disruption's duration, severity, propagation, and volatility. The resulting unprecedented challenges made the ASCN apply novel SCRES measures, particularly regarding collaboration and risk management culture. However, well-known visibility and flexibility strategies were also suitable. Overall, agility and collaboration measures showed the highest capacity to address characteristic pandemic challenges. A lack of preparedness impeded some measures' application, calling for enhanced proactive risk management following the pandemic.

This paper addresses several research calls by providing in-depth empirical evidence on hitherto conceptually researched pandemic characteristics, challenges, and suitable SCRES measures from a network perspective. The study uncovers the different perceptions of individual tiers, emphasizing the need to analyze supply chain disruptions from multiple angles.

The purpose of this paper is to explore how intra-industry strategic alliances (SAs) seek to assess supplier risk related to sustainability, what motivation drives single members to form or join such an SA, and how such a joint endeavor affects supplier risk management.

An embedded single case study with multiple units of analysis was conducted. The main data were collected through semi-structured interviews with key respondents from seven leading chemical companies, three of which were founding members of the SA, while four were new members.

This paper shows that forming/joining an SA concerning sustainability-related supplier risk assessment, results in the reduction of task uncertainty and equivocality as well as the increase of information processing capacities. Based on the implemented sharing routines, a higher overall efficiency can be achieved. Moreover, the members benefit from an enhanced identification of varying stakeholder expectations, a facilitated capability building and a more comprehensive supplier risk assessment. In particular, the joint endeavors result in assessment processes of higher robustness, which provide outcomes of higher quality.

This paper is the first to investigate companies’ efforts toward improving their supplier risk management in the area of sustainability by establishing/joining an intra-industry SA. By providing insights into the motivation to form or join such a collaborative platform and illustrating the effects that arise from the SA’s work from an organizational information processing perspective, it provides a contribution to both academics and managerial practice.

The food supply chain worldwide has suffered severely due to the COVID-19 pandemic countermeasures. Previous research suggests that business model innovation (BMI) could be a viable solution for recovering from the pandemic and fostering organizational resilience. This study analyzes the capabilities that enable food companies to innovate their business model and thereby increase organizational resilience.

Results were obtained using a multiple-case study approach consisting of 15 companies along the entire food supply chain. Managers and decision-makers were interviewed, and the collected insights were enriched with additional material.

The results show several capabilities that enable companies to innovate their business model due to disruption. These capabilities are categorized into four phases based on the processual representation of BMIs.

This study contributes to the understanding of BMI in the food supply chain and provides empirical evidence on the potential for business recovery through BMI.

The dynamics of quality performance and quality cost are gaining renewed interest in quality management literature. Using large sample secondary data, the purpose of this paper is to build up empirical evidence for increasing quality performance in manufacturing in the long-run. The authors then examine whether it is possible to reduce internal and external failure cost over time without increasing prevention and appraisal expenditures in return. Finally, a scale effect in reducing quality cost is measured to clarify the long-run dynamics between quality cost and quality performance.

The authors conduct statistical analysis on a large sample secondary data set to reveal relationships between total cost of quality, its components and overall quality performance.

Significantly higher quality performance and lower quality cost are observed in the long-run. Quality costs grow less than half as fast as sales volume, pointing to a significant scale effect in quality cost reduction.

Businesses can use these implications for targeting failure costs and budgeting appraisal and prevention costs. Based on company-specific historical learning behavior through prevention and appraisal activities, an increasingly reliable prognosis of failure cost shall be possible.

For the first time, quality performance and cost dynamics are assessed using a secondary data set with more than 400 observations. A scale effect for quality cost reduction is measured. The results are of great importance to quality management practice and research.

The purpose of this paper is to offer a comprehensive overview of challenges and risks of the Internet of Things (IoT) in supply chain management (SCM) and provide a structured framework for classifying and analyzing the relevant literature to deduce insights for research and practice.

A systematic literature review (SLR) of 102 peer-reviewed journal articles on the topic of IoT in SCM was conducted.

This review identifies, categorizes and describes the relevant literature regarding the dimensions time and specificity. The resulting framework contains a holistic overview including focus areas and relations of macro-environmental, network-related and organizational challenges and risks. Furthermore, this review represents a conceptual framework for future research, considering the multidisciplinary body of the subject and provides an analysis of the timeline of literature, journals and used methodologies.

This study offers valuable insights into IoT and its impact on applications, processes and the structure of organizations and supply chains (SCs). The identification of challenges and risks helps to prepare for changes in the future because of the disruptive nature of this technology.

The originality of this paper lies in the synthesis of the fragmented body of literature of IoT challenges and risks for SCM. The derived framework and identification of relations and research gaps provide the foundation for further research to evaluate the relations between challenges and risks and offer solutions.

The purpose of this paper is to provide empirical evidence for competing representations of the prevention-appraisal-failure model of quality cost.

The authors conduct regression analysis on a secondary data set to reveal relationships among total cost of quality, its components and overall quality performance.

Total cost of quality and its failure cost component are significantly lower at higher levels of quality, while the prevention and appraisal cost components are not observed to be significantly higher at higher levels of quality. The authors propose a modification to the modern representation of the prevention-appraisal-failure model.

In manufacturing, ever higher levels of quality are associated with significantly lower quality cost.

Using a large, unique data set for secondary analysis, combined with employing a high-level measure for overall quality performance, the authors provide evidence for the aggregate explanatory power of prevalent representations of the prevention-appraisal-failure cost of quality model.

The importance of integrating sustainability into business activities rises continuously. In addition to an established focus on forward logistics, there is a growing awareness of reverse logistics. Reverse logistics ensures sustainable practices and increases competitiveness for companies, but it also comes with challenges. Therefore, the implementation of reverse logistics is associated with uncertainties. This paper aims to fill this gap by analyzing the development and comprehensive potential of reverse logistics as a sustainability tool.

To bridge the research gap, a real-time Delphi study was conducted. Through an extensive desk research, semi-structured interviews and an expert workshop, 14 projections for the German food sector of 2040 were created. A total of 49 experts in the field of logistics, reverse logistics and food logistics assessed the future projections concerning estimated probability, impact and desirability of occurrence.

The findings derived lead to three possible future scenarios as well as potential drivers and barriers that food companies, the government and society need to consider to enable a successful transition toward implementing reverse logistics in food supply chains.

The study examined the future role of reverse logistics as a sustainability tool in food supply chains. The results serve as a framework for decision-making on the sustainable orientation of business practices, leading to increased competitiveness and resilient business strategy. Several implications are derived for practitioners, policymakers and society to promote reverse logistics. Methodologically, this study extends existing Delphi methods by conducting a quantitative dissent and sentiment analysis, considering various surface-level and deep-level diversity characteristics.

The purpose of this paper is to investigate the implications for supply chain risk management (SCRM) by applying internet of things (IoT). Therefore, the impact and effects on the SCRM process, as well as the internal and external pathway and the outcome of SCRM are examined.

This study adopts a multiple case study methodology with twelve companies from the manufacturing industry. This study is guided by the information processing theory (IPT) and a theory-grounded research framework to provide insights into information requirements and information processing capabilities for IoT-supported SCRM.

The studied cases demonstrate an increase in data availability in the companies that contribute to improved process transparency and process management. Furthermore, the process steps, risk transparency, risk knowledge and risk strategies have been enhanced, which enabled improved SCRM performance by fitting information requirements and information processing capabilities, thus allowing for competitive advantage.

This study offers in-depth insights for SCRM managers into the structure of IoT systems, primary use cases and changes for the process itself. Furthermore, implications for employees, incentives and barriers are identified, which could be used to redesign SCRM.

This study addresses the requirement for additional empirical research on technology-enhanced SCRM, supported by IPT as a theoretical foundation. The radical change of SCRM by IoT is demonstrated while discussing the human role, implications for SCRM strategies and identifying relevant topics for future development.

This study examines the interactions between entrepreneurial orientation, supply chain resilience (SCRES) as well as the financial and commercial dimensions of business performance.

Drawing on a literature review, the authors develop a research model to identify positive relationships between five specific dimensions of entrepreneurial orientation, SCRES and business performance based on the dynamic capabilities view. The hypotheses are then empirically validated by applying partial least squares structural equation modeling (PLS-SEM) on survey data obtained from a questionnaire and 168 global companies.

The results partially support the hypotheses and suggest that entrepreneurial activities complement the resilience of supply chains to sudden disruptions and therefore also foster competitive advantage.

The relationships between entrepreneurial orientation, SCRES and business performance are examined and validated empirically in a single model, bridging the gap between these distinct research streams and shedding further light on supply chain risk management.