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The European Union (EU) and European companies are striving for net-zero carbon targets by 2050 and are therefore focused on urgent decarbonization efforts. Manufacturing contributes to 20% of European carbon emissions, although the primary challenge lies in supply chain (SC) emissions, which highlights the field's need to transform. Amid the dissonance between public and private net-zero commitments and persistent carbon emissions, uncertainties surround the development of net-zero carbon supply chains (NZCSCs). This paper aims to address this lack of knowledge by presenting an exploration of the development of NZCSCs within the EU through 2050.

Using a real-time Delphi methodology and tool from durvey.org, this study involves a multiphase panel discussion process with 67 SC and sustainability experts. Twelve prospective theses for NZCSC development in the EU were formulated through desk research, interviews and an expert workshop. The panel assessed these theses in terms of impact, desirability and anticipated occurrence year and provided justification for their evaluations.

The study identifies three clusters that influence NZCSC development, comprising 68 implications that scholars, managers and policymakers should consider during this transition.

This study contributes to the available information regarding NZCSCs by offering insights from a multilevel perspective into the influences on NZCSC development in the EU's manufacturing sector.

In a volatile and highly dynamic business environment, supply chain operations face various challenges. This study, grounded in dynamic capability theory (DCT), investigates how supply chain collaboration (SCC) and supply chain transparency (SCT) influence the relationship between supply chain finance (SCF) and supply chain resilience (SCR) in manufacturing firms. This demonstrates the intrinsic mechanism between SCF and SCR, which provides insights for relative research.

The quantitative research approach was utilized. Employing data collected from 289 Chinese manufacturing firms, structural equation modeling is conducted to test the theoretical hypotheses.

The research findings have revealed that SCF has a positive impact on SCC and SCT and SCC has a positive impact on SCT. Moreover, both SCC and SCT can improve SCR, and SCT plays a positive mediating role between SCC and SCR.

This study provides insightful ideas for managers in enhancing SCR by considering SCF. Moreover, this study highlights the concrete responses firms should do to improve SCC and SCT, thus managers can develop more effective strategies to optimize SCR.

This study contributes to the extant literature on improving SCR through SCF, considering the two dimensions of dynamic capability (i.e. SCC and SCT), which explains the intrinsic mechanisms by which SCF affects SCR. This study also broadens the scope of application of DCT.

This study aims to develop an integrative framework for strategic intelligence (SI) tailored to guide companies navigating systemic disruptions within global supply chains, identifying key determinants for its effective deployment. Current literature on management systems addresses SI components individually, hindering a precise definition and implementation strategy. This systematic review aims to fill these gaps by establishing a conceptual model of SI capability, emphasizing the interdependence of its dimensions.

Following the Joanna Briggs Institute (JBI) mixed-method analysis approach and Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement, this systematic review synthesizes empirical studies, conceptual papers, mathematical models and literature reviews on SI capability dimensions. It adopts a flexible approach to explore SI within supply chain resilience during systemic crises.

The study enhances and broadens the field of dynamic capabilities (DCs) by advancing knowledge on SI as a dynamic capability inducing resilience within supply chains facing systemic risks. Additionally, it synthesizes and offers perspective on a rapidly expanding body of literature from the past three years, identifying emerging trends and gaps.

This research focused on three capacities: Supply Chain Visibility (SCV), Environmental Dynamism (ED) and Timely Seizing and Detection-Making (TSDM). While other dynamic capabilities may enhance SC resilience (SCR), this study emphasized the analytical and decision-making dimensions critical for improving SCR.

This systematic literature review introduces a novel conceptual framework, providing a foundation for empirical investigations. By offering an integrated theoretical perspective, the study proposes actionable research propositions and insights into SI’s strategic role in crisis management within supply chains.

This study aims to assess the feasibility and effectiveness of incorporating predictive maintenance (PdM) into existing practices of spare part inventory management and pinpoint the barriers and identify economic values for such integration within the supply chain (SC).

A two-staged embedded multiple case study with multi-method data collection and a combined discrete/continuous simulation were conducted to diagnose obstacles and recommend a potential solution.

Several major organisational, infrastructure and cultural obstacles were revealed, and an optimum scenario for the integration of spare part inventory management with PdM was recommended.

The proposed solution can significantly decrease the inventory and SC costs as well as machinery downtimes through minimising unplanned maintenance and addressing shortage of spare parts.

This is the first study with the best of our knowledge that offers further insights for practitioners in the Industry 4.0 (I4.0) era looking into embarking on digital integration of PdM and spare part inventory management as an efficient and resilient SC practice for the automotive sector by providing empirical evidence.

This study aims to explore how operational resilience can be achieved within supply ecosystems in the delicate yet harsh natural environments of the Arctic.

An in-depth, multiple qualitative case study of offshore supply operations in Arctic oil and gas field projects is conducted. Data from semi-structured interviews, personal observations and archival materials are analysed through institutional work and logics approaches.

The findings suggest that achieving social-ecological resilience depends on the interaction between social and natural (irreversible) systems, which are shaped and influenced by various institutional dynamics. Different resilience solutions were detected.

This study develops a comprehensive understanding of how social-ecological resilience emerges in supply ecosystems through institutional dynamics. The study’s empirical basis is limited to offshore oil and gas projects in the Arctic. However, due to anticipated future growth of Arctic economic activities, other types of supply ecosystems may benefit from the study’s results.

This research contributes with empirical knowledge about how social-ecological resilience is created through institutional interaction within supply ecosystems to prevent disruptions of both social and ecological ecosystems under the harsh natural conditions of the Arctic.

This study aims to analyze the factors that drive or prevent interorganizational data sharing in the context of digital transformation (DT). Data sharing appears as a precondition for companies to capture emerging opportunities in supply chain management and for product-related servitization; however, there are ongoing concerns, and data are often perceived as the “new oil.” It is thus important to gain a better understanding of the determinants of firms’ decisions.

The authors develop an embedded case study analysis involving 16 firms within an extended supply network in the automotive industry. The authors focus on the peculiarities of the new context, as opposed to elements highlighted by research prior to the advent of the latest technologies. Abductive reasoning is applied to the theoretical foundations of the resource-based view, resource dependence theory and the complex adaptive systems perspective.

Data sharing is largely underpinned by factors identified prior to DT, such as data specificity, dependence dynamics and protection mechanisms and the dynamism of the business context. DT, however, can influence the extent of data sharing. New factors concern complementarities whenever data are pooled from different sources and digital platforms, as well as different forms of data ownership protection.

This study stresses that data sharing in the context of DT can be explained through established theoretical lenses, providing the integration of elements accounting for new technological opportunities.

Drawing on panarchy theory and adaptive cycles, this study aims to investigate the role of reorganisation capabilities on firms’ supply chain resilience. The conceptual model underpinned by panarchy theory is tested in the agrifood supply chains disrupted by a geopolitical crisis and faced with material shortage. The study considers circularity as a core reorganisational capability and measures its interplay with two other capabilities: new product development and resource reconfiguration capabilities to achieve supply chain resilience.

A quantitative research design is followed to test the relationships between circularity capabilities, resource reconfiguration capabilities, new product development capabilities and supply chain resilience. A cross-sectional survey is applied to a sample drawn from food manufacturers who are dependent on wheat and sunflower oil as raw material and who are faced with material shortages in the aftermath of a geopolitical crisis. Measurement models and hypotheses are tested with the partial least squared structural equation modelling (PLS-SEM) based on 324 responses.

The results show that new product development and resource reconfiguration capabilities fully mediate the relationship between circularity capabilities and supply chain resilience. In other words, the food producers achieved supply chain resilience in response to agrifood supply chain disruption when they mobilised circularity capabilities in combination with new product development and resource reconfiguration capabilities.

The findings suggest that producers in the agrifood industry and even those in other industries need to develop circularity capabilities in combination with new product development and resource reconfiguration capabilities to tackle supply chain disruptions. In a world that is challenged by geopolitical and climate-related crises, this means leveraging 3R practices as well as resource substitution and reconfiguration in new product development processes.

The study explores the release and reorganisation phases of adaptive cycles in a panarchy by analysing the interplay between different capabilities for building supply chain resilience in response to disruptions challenging supply chains from higher levels of the panarchy. The results extend the theoretical debate between circularity and supply chain resilience to an empirical setting and suggest the introduction of new variables to this relationship.