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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.

The purpose of this paper is to establish criteria for evaluating strategic partners in a network of logistics service providers (LSPs) to show how analytical network process (ANP) can be used to identify the weights of these criteria on a case-specific basis, and to investigate whether the ANP model can be used as a starting point to evaluate strategic partners for other LSP networks.

Based on a literature review of vertical cooperation, the authors develop an overview of criteria for the evaluation of partners in a network of LSPs. The authors then apply ANP at LSP1 to validate the criteria, identify weights for these criteria and to validate model outcomes. Furthermore, the authors investigate whether the ANP model developed for LSP1 can be applied to another LSP with similar characteristics (LSP2). In-depth interviews are used to draw conclusions on the modeling approach and the model outcomes.

The research shows that evaluation criteria for partners in vertical partnerships between shippers and LSPs are applicable to LSP partners in horizontal partnership networks. The ANP model with criteria weights provides a good starting point for LSPs to customize the evaluation framework according to their specific needs or operating environments.

Limited research is available on evaluating LSP partners in horizontal partnerships. To the best of the authors’ knowledge, this paper is the first to bring forward horizontal LSP partner evaluation criteria to develop an ANP model for LSP partner evaluation and to apply this to two cases, and to provide a starting point for evaluating partners in similar horizontal LSP networks.