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This study advocates the importance of taking an evolutionary perspective in the strategic configuration of closed-loop supply chains (CLSC) in the transition to a circular economy. Building on the supply chain management and industrial dynamics research domains, an evolutionary analytical framework was developed and applied in the empirical context of the ongoing industrial transition to e-mobility.

This study is designed as an in-depth exploratory case study to capture the multi-layer dynamic complexities and their interplay in CSLC development. The empirical investigation was based on two-year interactions between the authors and various departments in a leading European heavy vehicle manufacturer. The proposed evolutionary analytical framework was used for investigating the dynamics of four CLSC configurations through ten possible trajectories.

The findings demonstrate that the evolution of each CLSC configuration comes with multiple challenges and requirements and point out the necessity for the co-development of technologies, product design and production, and infrastructure through long-term relationships among key supply chain actors. However, this evolutionary journey is associated with multiple dilemmas caused by uncertainties in the market and technology developments. All these factors were properly captured and critically analyzed, along with their interactions, thanks to the constructs included in the proposed evolutionary analytical framework.

The proposed evolutionary framework is applicable for examination of SC transformation in the context of market and technology development, and is particularly relevant for transitioning from linear SC to CLSC. The framework offers a single actor perspective, as it does not directly tackle dynamics and effects of actions taken by SC actors.

The developed framework can support SC managers in identifying, framing, and comparing alternative strategies for CLSC configuration in the transition process.

This study proposes the framework for understanding and guiding the evolutionary process of CLSC development. Its uniqueness lies in the integration of concepts from innovation and evolutionary theories coming from industrial dynamics and SCM literature streams.

Many studies have found that Lean practices provide better performance in a stable business environment. However, there is limited information on how Lean practices influence performance gains (defined in this paper as improvement and sustenance of performance) in an uncertain (complex and dynamic) environment. This study aims to investigate how the implementation of Lean helps to sustain performance in such context.

The study draws on an in-depth investigation of two capital goods manufacturing engineer-to-order (ETO) cases, in which performance sustenance is discussed in relation to the extent, locus and extensiveness of implemented Lean practice bundles.

Findings indicate that a higher extent of Lean practices’ implementation, covering both shop floor and transactional processes, increases the possibility of performance sustenance in ETO. Furthermore, a coherent approach in the pre-, during- and post-implementation phases of the Lean change process is required to foster performance sustenance. Lean practices in ETO are modified to suit context change from repetitive manufacturing.

This study proposes performance sustenance as a performance measure in a highly uncertain context, such as ETO, as a single reference cannot effectively measure performance improvements over diverse orders. From this perspective, appropriate Lean implementation contributes towards building capabilities for flexibly and proactively managing uncertain circumstances.

Even companies operating in highly uncertain (complex and dynamic) contexts may benefit from significant performance gains, thanks to the Lean implementation. This can be achieved by a balanced implementation of practices at shop floor and transactional processes, and their mindful customisations.

The study compares Lean implementation in ETO with that of high-volume–low-variety systems established in the literature. It qualitatively discusses how Lean implementation as an overarching effort both in shop floor and transactional processes leads to better sustenance of achieved performance improvements in shop floor under high uncertainty.

During the planning and delivery, iron triangle criteria, are essential for internal stakeholders (e.g. owner, sponsors and delivery company), mostly ignoring external stakeholders such as local communities (often perceived as inconvenient) or end users. In the medium-long term, infrastructure cost and benefit are far more important for external stakeholders and the environment.

The iron triangle criteria, i.e. delivering on time, budget and quality/scope, is the traditional perspective to assess the success of infrastructure projects. Delivering on cost and time is significant, but particularly for infrastructure, there are more relevant success criteria. The authors argue which criteria are important, and explain why.

The authors challenge the traditional view of judging projects based on respecting time, budget and quality/scope. The authors explain that discussing the social value and contribution to achieving the UN Sustainable Development Goals (SDGs) is extremely relevant. Crucially these metrics keep changing, even after the project is terminated.

The authors provide a new seven-step action plan for decision-makers to improve infrastructure provision by reflecting on SDGs and engaging with external stakeholders, particularly minorities and the weaker members of their communities. Such an action plan is focused on the cost and value for different stakeholders on different timeframes and progress toward social value and achieving SDGs.

This paper investigates the relationships between the core elements of a BCM system and SCRES constituents, i.e. visibility, agility, flexibility, velocity and collaboration. An explorative multiple case studies methodology was adopted, consisting of organizations in the retail, manufacturing and humanitarian sectors that had to withstand the impact of the first wave of the COVID-19 pandemic (January to June 2020).

The paper adopts an interpretative approach to understand organizational behavior through observations. The source of data comes from in-depth interviews as well as the scrutiny of available official documents for triangulation. The unit of analysis is the organizations internal supply chain with a specific focus on their BCM system and SCM arrangements.

This paper shows how core BCM practices have a direct impact on supply chain resilience constituents. Specifically practices such as establishing a crisis management committee and risk assessments boost constituents such as agility and flexibility. This advances the theoretical discussion on supply chain resilience, while providing practical examples for organizations to build a response to pandemic incidents.

This paper validates the contribution of business continuity management to supply chain resilience, a concept that has mainly been linked to practices such as risk management. In this regard, this paper enriches the discussion. Secondly, the analysis explains how specific BCM practices worked during the first wave of the pandemic and how they were implemented, providing a clear path for supply chain resilience.

Recent studies have argued that companies may actively implement practices to mitigate disruptions in their supply chain and reduce the extent of damage on performance. Other studies have shown that disruptions may propagate in supply chains, leading to consequences that are more negative and raising doubts on the effectiveness of mitigation strategies implemented downstream. This study investigates the influence of supply chain complexity on the two phenomena and their interplay, taking a focal company's perspective.

A systematic procedure for data collection, encoding and aggregation based on incident data mainly from secondary sources was used. Multiple regression models were run to analyse direct and moderation effects involving resilience, distance of impact location from trigger point, and supply chain complexity on weighted performance change.

Supply chain complexity is found to have positive moderation on the ripple effect of disruption. Resilience capability remains to have dominating direct positive effect in mitigating disruptions when supply chain complexity is taken into account.

This study extends the research discourse on supply chain resilience and disruption management with focus on the supply side. It demonstrates that, along with the severity of the disruption scenario, the ripple effect must also be considered when analyzing the benefits of resilience practices implemented by the focal company.

Complexity in the supply chain can only help to smooth-out the rippling effects of a disruption, which go largely beyond supply-demand unbalances and lead time fluctuations. To mitigate it better, the focal company has to act proactively with adequate resilience practices, which also connects to the importance of better visibility across multiple supply chain tiers.

To the best of the authors' knowledge, this is the first study that empirically tests the benefits of resilience practices and the ripple effect of disruptions under the moderation role of supply chain complexity.

This study aims to quantify the multifaceted relationship between lean implementation and occupational health and safety (OHS) performance. Hypotheses based on a set of antecedents (mediating factors) are built and quantitatively tested.

Data were collected through an international survey with responses from more than 20 countries. Partial least square-based structural equation modeling was used to test a theoretical framework derived from literature. Leading indicators (formative indices) were used to evaluate the four antecedents of OHS performance (mediating factors).

All the identified antecedents show a significant mediating role. Antecedents related to the working environment and organizational factors have the strongest mediating effect. Results support the importance of using OHS leading indicators to appropriately measure the impact of lean implementation on workers’ health and safety.

The proposed OHS leading indicators connecting lean practices to OHS performance antecedents are only explored in this study. Therefore, to establish a comprehensive, validated and practically usable set of leading indicators, further research is needed.

As there are some synergistic and trade-off relationships between lean and safety, the findings of this study will enable managers and organizations to leverage the positive effects of lean implementation on workers’ health and safety and mitigate the negative effects.

Several prior studies investigated the multifaceted link between lean and OHS; however, this is the first study that tested direct and mediated influence by defining a coherent set of antecedents. The results justify and strongly support the adoption of OHS leading indicators to measure the impact of lean implementation on OHS performance.

This study aims to investigate the influence of supply chain (SC) complexity on the effectiveness of resilience capabilities in mitigating SC disruptions. Hypotheses about direct and moderating influences of complexity on resilience capabilities and performance change after disruption are built and quantitatively tested.

Partial least square-based structural equation modelling with formative constructs was used as an overall approach. Secondary data on SC disruptions, related performance change and resilience practices were collected from multiple sources through a predefined procedure. The collected data were systematically encoded prior to performing statistical analysis.

SC structural complexity is found to have a significant positive relation with performance improvement after disruption, along with resilience capability; it also positively moderates the resilience–performance link.

The SC complexity factors the authors considered in this study do not include dynamic forms because of the nature of data collected. Future research may attempt to include and test whether the results of this study also hold when additional complexity parameters are taken into account.

Managers are often trying to reduce SC complexity. This study implies that some level of complexity is beneficial also for a better recovery of operational performance affected because of disruption. Resilience capabilities become more effective when leveraged on complexity in the SC.

This is the first study to empirically investigate the influence of SC complexity on the resilience–performance link.

This paper aims to propose a model, to operationalize the idea of enterprise risk management (ERM), relying on the concept of capabilities. The proposed model, labelled “Spring model”, is specifically tailored to the characteristics of project-based organisations, where risk is to be managed transversally to different organizational levels (enterprise, project portfolio, functions, projects).

A case study methodology is used to exemplify the functioning of the proposed model and display the suitability of the concept of capabilities, as means whereby companies can manage their risk. Data were collected from different sources over a time frame of three years: semi-structured interviews, official documents and presentations, archives, direct observation and internal document usually not available to the public.

The “Spring model” explains how risk can impact different organizational levels (enterprise, project portfolio, functions, projects), and how risk can be effectively managed, at different organizational levels, through the organization's capabilities.

The paper gives concrete guidance on the operational elements that project-based organisations should consider for managing risks in a comprehensive and integrated way and discusses potential analysis/insights that could be derived embracing the capability perspective. The empirical testing, performed in a leading oil and gas company, provides an example of its functioning.

The paper represents an attempt to apply ERM concepts and tools to operations, making a connection between research in corporate governance and finance, where the ERM concept originated, and research in project management, where attention of researchers tended to concentrate on specific types of risk management practices.

Reviews the latest management developments across the globe and pinpoints practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

As soon as the UK voted to leave the European Union (EU) in 2017, one of the key discussions among businesses throughout Europe centered on what the likely impact would be on supply chains involving UK companies. Whether you were a mainland European country with supply chain partners in the UK, or a UK manufacturer that depended on European companies for supplies, the uncertainty and potential disruption to well-grooved supply chain processes became a major headache. At first, it was the uncertainty that proved the major issue as governments played politics and refused to define the likely deal that would enable supply chain terms to be put in place. As the UK left the EU and the terms of the overall deal became clearer, firms then had to work out how whether any necessary changes to their supply chains were required.

Provides strategic insights and practical thinking that have influenced some of the world’s leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

While humanitarian supply chains (HSCs) inherently contribute to social sustainability by alleviating the suffering of afflicted communities, their unintended adverse environmental impact has been overlooked hitherto. This paper draws upon contingency theory to synthesize green practices for HSCs, identify the contingency factors that impact on greening HSCs and explore how focal humanitarian organizations (HOs) can cope with such contingency factors.

Deploying an action research methodology, two-and-a-half cycles of collaboration between researchers and a United Nations agency were completed. The first half-cycle developed a deductive greening framework, synthesizing extant green practices from the literature. In the second and third cycles, green practices were adopted/customized/developed reflecting organizational and contextual contingency factors. Action steps were implemented in the HSC for prophylactics, involving an operational mix of disaster relief and development programs.

First, the study presents a greening framework that synthesizes extant green practices in a suitable form for HOs. Second, it identifies the contingency factors associated with greening HSCs regarding funding environment, stakeholders, field of activity and organizational management. Third, it outlines the mechanisms for coping with the contingency factors identified, inter alia, improving the visibility of headquarters over field operations, promoting collaboration and resource sharing with other HOs as well as among different implementing partners in each country, and working with suppliers for greener packaging. The study advances a set of actionable propositions for greening HSCs.

Using an action research methodology, the study makes strong practical contributions. Humanitarian practitioners can adopt the greening framework and the lessons learnt from the implementation cycles presented in this study.

This is one of the first empirical studies to integrate environmental sustainability and HSCs using an action research methodology.