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This paper aims to investigate the role of upper management in designing performance measurement systems (PMS) that account for external turbulence of the organization and to show how this PMS design for turbulence impacts organizational resilience and distribution service performance.

Hypotheses are developed by integrating management accounting and strategic management perspectives into supply chain management and subsequently tested based on data from 431 logistics organizations (i.e. both logistics companies and internal logistics departments of manufacturing and retailing companies).

Attention focusing usage type of the PMS by the upper management fosters incorporating the element of risk into the PMS of the company. Further, PMS design for turbulence enhances organizational resilience, and, indirectly, this also leads to improved distribution service performance.

This paper is the first to introduce the concept of PMS design for turbulence to the literature and to show that it is relevant for supply chain risk management by fostering the capabilities and the performance of logistics organizations. Further, it is shown that a seemingly detached issue such as the general PMS use focus of the upper management impacts supply chain risk management.

This invited article explores current developments in supply chain risk management (SCRM) practices by revisiting the classical case of Ericsson (Norrman and Jansson, 2004) after 15 years, and updating its case description and analysis of its organizational structure, processes and tools for SCRM.

An exploratory case study is conducted with a longitudinal focus, aiming to understand both proactive and reactive SCRM practices using a holistic perspective of a real-life example.

The study demonstrates how Ericsson's SCRM practices have developed, indicating that improved functional capabilities are increasingly combined across silos and leveraged by formalized learning processes. Important enablers are IT capabilities, a fine-grained and cross-functional organization, and a focus on monitoring and compliance. Major developments in SCRM are often triggered by incidents, but also by requirements from external stakeholders and new corporate leaders actively focusing on SCRM and related activities.

Relevant areas for future research are proposed, thereby increasing the knowledge of how companies can develop SCRM practices and capabilities further.

Being one of few in-depth holistic case studies of SCRM, decision-makers can learn about many practices and tools. Of special interest is the detailed description of how Ericsson reactively responded to the Fukushima incident (2011), and how it proactively engaged in monitoring and assessment activities. It is also exemplified how SCRM practices could continuously be developed to make them “stick” to the organization, even in stable times.

This is one of the first case studies to delve deeper into the development of SCRM practices through taking a longitudinal approach.

“Scale purification” – the process of eliminating items from multi-item scales – is widespread in empirical research, but studies that critically examine the implications of this process are scarce. The goals of this research are threefold: to discuss the methodological underpinning of scale purification, to critically analyze the current state of scale purification in supply chain management (SCM) research and to provide suggestions for advancing the scale-purification process.

A framework for making scale-purification decisions is developed and used to analyze and critically reflect on the application of scale purification in leading SCM journals.

This research highlights the need for rigorous scale-purification decisions based on both statistical and judgmental criteria. By applying the proposed framework to the SCM discipline, a lack of methodological rigor and coherence is identified when it comes to current purification practices in empirical SCM research. Suggestions for methodological improvements are provided.

The framework and additional suggestions will help to advance the knowledge about scale purification.

This paper demonstrates that the justification for scale purification needs to be driven by reliability, validity and parsimony considerations, and that this justification needs to be based on both statistical and judgmental criteria.

Disruptive events caused by cyber incidents, such as supply chain (SC) cyber incidents, can affect firms’ SC operations on a large scale, causing disruptions in material, information and financial flows and impacting the availability, integrity and confidentiality of SC assets. While SC resilience (SCRES) research has received much attention in recent years, the purpose of this study is to investigate specific capabilities for building SCRES to cyber risks. Based on a nuanced understanding of SC cyber risk characteristics, this study explores how to build SC cyber resilience (SCCR) using the perspective of dynamic capability (DC) theory.

Based on 79 in-depth interviews, this qualitative study examines 28 firms representing 4 SCs in Central Europe. The researchers interpret data from semistructured interviews and secondary data using the DC perspective, which covers sensing, seizing and transforming.

The authors identify SCRES capabilities, in general, and SCCR-specific capabilities that form the basis for the realignment of DCs for addressing cyber risks in SCs. The authors argue that SCRES capabilities should, in general, be combined with specific capabilities for SCCR to deal with SC cyber risks. Based on these findings, 10 propositions for future research are provided.

Practitioners should collaborate specifically to address cyber threats and risks in SCs, integrate new SC partners and use new approaches. Furthermore, this study shows that cyber risks need to be treated differently from traditional SC risks.

This empirical study enriches the SC management literature by examining SCRES to cyber risks through the insightful lens of DCs. It identifies DCs for building SCCR, makes several managerial contributions and is among the few that apply the DC approach to address specific SC risks.

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.

The purpose of this paper is to advance supply chain management by describing the current state of behavioral supply chain management (BSCM) research and paving the way for future contributions by developing a meta-theory for this important field.

The results are generated by applying the systematic literature review methodology and an iterative theory-building approach involving a panel of academics.

This review provides a comprehensive overview of the BSCM research landscape. Additionally, a meta-theory of BSCM is presented that encompasses all central elements of the research field and introduces the concept of emergence to the field of BSCM. Furthermore, five promising future research opportunities are formulated.

The critical discussions and the formulated research opportunities will help scholars in positioning their research to enhance its contribution.

Results from this research indicate that supply chain decisions benefit from explicit consideration for cognitive and social phenomena.

This review is the first to provide a comprehensive overview of the field of BSCM research and facilitates BSCM in advancing further.

This paper aims to identify scale purification criteria for both uni- and multidimensional reflective scales and apply these criteria to an evaluation of the methodological status quo of the hospitality literature.

Based on a literature review, the authors develop a taxonomy of statistical and judgmental criteria across scale levels, from which best practices are derived. Recent publications in leading hospitality journals are then evaluated based on these scale purification steps.

The authors uncover a lack of transparency when reporting scale purification practices. Moreover, methodological steps are often entirely omitted or insufficiently followed, especially when it comes to judgmental scale purification practices.

The authors focus on reflective scales in the hospitality discipline. Methodological traditions in other fields might lead to different results if the chosen approach was to be repeated there.

The authors provide a set of suggestions that will help researchers in hospitality and adjacent disciplines to greater consensus and consistency of application regarding the methodological steps when carrying out scale purification in reflective scales.

Application of scale purification in hospitality research has been scarce. The authors extend existing research and provide the most comprehensive study so far of present and best scale purification practices, using both statistical and judgmental criteria.

The discipline's most common uses for literature reviews—identifying gaps, developing research agendas, and categorizing the literature—too often fail to challenge, change or advance theoretical perspectives. The authors offer guidance to theorization through literature reviews. The key to theory advancement is consistency between the state of theory and the chosen review type.

A conceptual approach is taken. The authors identify shortcomings in literature reviews of logistics and supply chain management (L&SCM) research and develop a framework to aid theorization from literature.

Literature review types are categorized as inductive theory building, contextualized explanations, theory testing and interpretive sensemaking. The authors argue that the effectiveness of a review type depends on the prior state of theory, which ranges from nascent, to intermediate, to mature. The authors propose the interpretive sensemaking review as a novel review type rooted in the interpretive paradigm.

This study should be of immediate interest and value to logistics and supply chain management scholars—as well as scholars in other fields—because it offers a pathway to theory development through literature reviews. Appropriate applications of the proposed review types will result in more comprehensive theories.

This article lays down arguments for the need to change the way L&SCM scholars use literature reviews. It extends earlier work from the authors (Durach et al., 2017; A New Paradigm for Systematic Literature Reviews in Supply Chain Management, Journal of Supply Chain Management) by outlining four review types, and offering further insights to theorization, as is typically the goal in the synthesis step of literature reviews.

This study aims to enhance the understanding of competency requirements of supply chain planners and analysts (SCP&As) and identify different personal preferences of hiring managers toward job candidates’ competency profiles.

A total of 243 supply chain managers with hiring experience participated in an adaptive choice-based conjoint experiment to uncover the relative importance of six competency attributes, namely, analytical and problem-solving ability, interpersonal skills, general management skills, computer/IT skills, supply chain management (SCM) knowledge and industry experience.

SCM knowledge and analytical and problem-solving ability were identified as the most important competencies and were considered three times more important than general management skills. Based on convergent cluster and ensemble analysis, two types of hiring managers were identified. The first group is characterized by a pronounced preference for job candidates with extensive SCM knowledge. In contrast, the second group’s members prefer candidates with a more balanced competency profile.

The authors’ findings help companies to facilitate a better person–job fit, a key determinant of employee performance and job satisfaction.