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The vulnerability of customers to malware attacks through weak supplier links has prompted a need for collaboration as a strategic alternative in improving supply chain cybersecurity (SCC). Current studies overlook the fact that the effectiveness of cybersecurity strategies is dependent on the form of interfirm relationship mechanisms within which supply chain digital assets are embedded. This paper analyses the association between interfirm collaborative cybersecurity management capabilities (ICCMC) and cybersecurity parameters across a supply chain and proposes an agenda for future research.

A systematic literature review (SLR) is conducted, employing text mining software to analyse content extracted from 137 scholarly articles on SCC from January 2013 to January 2022.

The co-occurrence analysis strongly confirms the potential of ICCMC to reinforce SCC. Furthermore, we establish that relational factors could have multiple roles: as antecedents for ICCMC, and as factors that directly affect SCC parameters. The analysis reveals knowledge gaps in SCC theory grounding, including a fragmented and sparse representation of SCC parameters and the potential presence of an omitted variable – SCC – that could improve subsequent testing of causal relationships for theory development.

The paper’s contribution is at the intersection of interfirm collaboration and mandating cybersecurity requirements across a supply chain. Our paper contributes to closing a social-technical gap by introducing social aspects such as the Relational View and the importance of developing ICCMC to reinforce SCC. We offer a method for testing co-occurrences in SLRs, a comprehensive definition of SCC, and a framework with propositions for future research on increasing the effectiveness of collaborative cybersecurity management. We position collaboration as a necessary condition for the transition from cybersecurity of a firm to cybersecurity across a supply chain, and its ecosystem.

This study focuses on (re-)introducing computer simulation as a part of the research paradigm. Simulation is a widely applied research method in supply chain and operations management. However, leading journals, such as the International Journal of Operations and Production Management, have often been reluctant to accept simulation studies. This study provides guidelines on how to conduct simulation research that advances theory, is relevant, and matters.

This study pooled the viewpoints of the editorial team of the International Journal of Operations and Production Management and authors of simulation studies. The authors debated their views and outlined why simulation is important and what a compelling simulation should look like.

There is an increasing importance of considering uncertainty, an increasing interest in dynamic phenomena, such as the transient response(s) to disruptions, and an increasing need to consider complementary outcomes, such as sustainability, which many researchers believe can be tackled by big data and modern analytical tools. But building, elaborating, and testing theory by purposeful experimentation is the strength of computer simulation. The authors therefore argue that simulation should play an important role in supply chain and operations management research, but for this, it also has to evolve away from simply generating and analyzing data. Four types of simulation research with much promise are outlined: empirical grounded simulation, simulation that establishes causality, simulation that supplements machine learning, artificial intelligence and analytics and simulation for sensitive environments.

This study identifies reasons why simulation is important for understanding and responding to today's business and societal challenges, it provides some guidance on how to design good simulation studies in this context and it links simulation to empirical research and theory going beyond multimethod studies.

Dominant quality standards are present in all industries. Implicit in their use is the assumption that once adopted, there is little or no reason to replace them. However, there is evidence that, under certain circumstances, such standards do get replaced. The reasons for this action are not well-understood, either as they pertain to the displacement decision or to the selection and adoption of the alternative standard. The purpose of this study is to identify and explore these two issues (displacement and replacement) by drawing on data from the American healthcare system. This study is viewed through the theoretical lens of legitimacy theory. In addition, the process is viewed from a temporal perspective. The resulting findings are used to better understand how this displacement process takes place and to identify directions for interesting and meaningful future research.

This is an explanatory study that draws on data gathered from quality managers in 89 hospitals that had adopted a new healthcare quality standard (of these, some fifty percent had displaced the dominant quality standard – the Joint Commission – with a different standard – DNV Healthcare.

The combined literature review and case study data provide insights into the displacement process. This is a process that evolves over time. Initially, the process is driven by the need to meet customer demands. However, over time, as the organizations try to integrate the guidelines contained within the standards into the organization, gaps in the quality standard emerge. It is these gaps that motivate the need to displace standards. The legitimacy perspective is highly effective at explaining this displacement process. In addition, the study uncovers some critical issues, namely the important role played by the individual auditors in the certification process and the importance of fit between the standard and the context in which it is deployed.

The data for the propositions in this case study were derived from interviews and survey data from 89 healthcare organizations. It would be interesting to examine similar relationships with other quality standards and industries.

Our findings provide new insights related to motivations to decouple from a dominant quality standard. Results provide a cautionary tale for standards that hold a dominant market share such that perceived legitimacy of such standards is not as stable as originally thought.

This study illuminates the fragile nature of the stability of dominant standards and emphasizes the linkages between legitimacy concerns and divestiture of such standards.

This article seeks to broaden how researchers in supply chain management view supply chain resilience by drawing on and integrating insights from other disciplines – in particular, the literature on the resilience of social-ecological systems.

Before the authors import new notions of resilience from outside the discipline, the current state of the art in supply chain resilience research is first briefly reviewed and summarized. Drawing on five practical examples of disruptive events and challenges to supply chain practice, the authors assess how these examples expose gaps in the current theoretical lenses. These examples are used to motivate and justify the need to expand our theoretical frameworks by drawing on insights from the literature on social-ecological systems.

The supply chain resilience literature has predominantly focused on minimizing the consequences of a disruption and on returning to some form of steady state (often assumed to be identical to the state that existed prior to the disruption) implicitly assuming the supply chain behaves like an engineered system. This article broadens the debate around supply chain resilience using literature on social-ecological systems that puts forward three manifestations of resilience: (1) persistence, which is akin to an engineering-based view, (2) adaptation and (3) transformation. Furthermore, it introduces seven principles of resilience thinking that can be readily applied to supply chains.

A social-ecological interpretation of supply chains presents many new avenues of research, which may rely on the use of innovative research methods to further our understanding of supply chain resilience.

The article encourages managers to think differently about supply chains and to consider what this means for their resilience. The three manifestations of resilience are not mutually exclusive. For example, while persistence may be needed in the initial aftermath of a disruption, adaptation and transformation may be required in the longer term.

The article challenges traditional assumptions about supply chains behaving like engineered systems and puts forward an alternative perspective of supply chains as being dynamic and complex social-ecological systems that are impossible to entirely control.

Inventory management systems in health-care supply chains (HCSC) have been pushed to breaking point by the COVID-19 pandemic. Unanticipated demand shocks due to stockpiling of medical supplies caused stockouts, and the stockouts triggered systematic supply chain (SC) disruptions inconceivable for risk managers working individually with limited information about the pandemic. The purpose of this paper is to respond to calls from the United Nations (UN) and World Health Organization (WHO) for coordinated global action by proposing a research agenda based on a review of current knowledge and knowledge gaps on the role of collaboration in HCSCs in maintaining optimal stock levels and reinforcing resilience against stockout disruptions during pandemics.

A systematic review was conducted, and a total of 752 articles were analyzed.

Collaborative planning, forecasting and replenishment practices are under-researched in the HCSC literature. Similarly, a fragmented application of extant SC collaborative risk management capabilities undermines efforts to enhance resilience against systematic disruptions from medical stockouts. The paucity of HCSC articles in humanitarian logistics and SC journals indicates a need for more research interlinking two interdependent yet critical fields in responding to pandemics.

Although based on an exhaustive search of academic articles addressing HCSCs, there is a possibility of having overlooked other studies due to search variations in language controls, differences in publication cycle time and database search engines.

The paper relies on COVID-19's uniqueness to highlight the limitations in optimization and individualistic approaches to managing medical inventory and stockout risks in HCSCs. The paper proposes a shift from a fragmented to holistic application of relevant collaboration practices and capabilities to enhance the resilience of HCSCs against stockout ripple effects during future pandemics. The study propositions and suggestion for an SC learning curve provide an interdisciplinary research agenda to trigger early preparation of a coordinated HCSC and humanitarian logistics response to future pandemics.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

In industrial and business-to-business (B2B) marketing research, a business network ecosystem is an important antecedent of small- and medium-sized enterprises’ (SMEs’) performance. The purpose of this study is to clarify the direct and indirect effects of ecosystem network health on SMEs’ credit quality.

The data is collected from a survey of operations managers and financial managers of 282 SMEs in China. Structural equation modeling is used to test the hypotheses, and latent moderated structural equations are used to estimate the moderating effect model.

This research indicates that ecosystem network health can directly affect SMEs’ credit quality and have an indirect impact on credit quality through value co-creation capability. In addition, better informal institutional arrangements in the ecosystem can amplify the positive effects of network health and value co-creation capability on SMEs’ credit quality.

From an ecosystem perspective, it is necessary to bring the ecosystem characteristics into business scenario and explore their impacts on SMEs’ financing behaviors. This study contributes to B2B marketing research in terms of investigating the role played by ecosystem characteristics and value co-creation capability.