Purpose – 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. Design/methodology/approach – 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. Findings – 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. Originality/value – 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.

Purpose – With today's increasing globalization and associated growing demand for talented supply chain managers, human resource management (HRM) in supply chain management (SCM) has emerged as a top priority for firms. However, a thorough analysis of HRM issues in SCM research has not been made so far. To address this gap this paper provides a systematic and comprehensive literature review. The purpose of this paper is threefold: to analyze HRM/SCM issues published in leading SCM journals, to identify different HRM research streams in the SCM literature and to propose areas for future research. Design/methodology/approach – This paper employs a systematic literature review methodology. The selected journal articles are categorized on the basis of an analytical framework that contains seven HRM/SCM research streams derived from the extant literature. Findings – The systematic literature review indicates a growing focus on HRM/SCM issues in recent years, a trend that is predicted to continue. Additionally, the study findings show that research has primarily emphasized certain popular categories while other crucial ones lack analysis. Originality/value – This paper presents a structured overview of 109 peer-reviewed articles published in leading academic journals from 1998 to 2014. The review structures extant HRM/SCM literature and highlights its critical importance in SCM research. Topical gaps in the literature are identified as areas for future research.

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PurposeThe enormous impact of the COVID-19 pandemic showcases the key role of supply chain risk management (SCRM) in achieving and maintaining business performance, competitiveness and survival in the “new normal”. The purpose of this paper is to explore what impact the COVID-19 pandemic has had and may yet have on supply chains (SCs), which SCRM approaches have proved successful and how logistics service providers (LSPs) have applied the knowledge they have gained to improve their SCRM practices and resilience so as to prepare better for the next major disruption.Design/methodology/approachThis paper combines an extensive literature review with a multiple-case study of 10 internationally operating LSPs and how they have handled the impact of the COVID-19 pandemic so far. To bridge the research-practice gap, this study draws on the dynamic-capabilities view and provide insights that are valuable to both academia and practice.FindingsThis study provides empirical evidence on the severe impact of the COVID-19 pandemic on SCs, which has posed several challenges to LSPs. The study identifies eight factors that are critical to the adaptive capabilities of LSPs and, therefore, to their resilience in extreme conditions. The findings of this study show that these factors determine whether an SCRM system is robust and agile enough to allow an LSP to anticipate potential disruption and to respond fast enough when disruption occurs. Specifically, this study finds that robustness and agility demonstrably strengthen business performance, while learning from experience proves key to reconfiguring an SCRM design in response to acute disruption.Originality/valueThis paper is among the first to provide rich, empirical and practically applicable insights into the impact of the COVID-19 pandemic on business in relation to SCRM. These novel insights offer inspiring opportunities for further research.

Purpose This paper integrates research on demand- and supply-side risk management practices to better explain how to achieve competitive advantage in dynamic business conditions. The purpose of this study is to develop a model linking supply chain flexibility, agility, robustness and resilience and to investigate its relationships and impact on business performance. Design/methodology/approach The authors conduct a review of existing literature to derive their hypotheses and operationalize the respective constructs. The formulated research model is then validated applying partial least squares structural equation modeling on survey data from 89 multi-national companies based in Europe. Findings The authors find a significant positive relationship between supply chain flexibility and supply chain agility as well as supply chain robustness and supply chain resilience, respectively. Additionally, it is argued that supply chain flexibility, agility and resilience have significant positive impact on individual dimensions of business performance. Originality/value The relationships between supply chain flexibility, agility, robustness, resilience and business performance are investigated and empirically validated altogether in a single model for the first time, providing a clear separation of these terms and shedding further light on the management of supply chain risks.