Our knowledge on differences in business model characteristics of thriving and failing Multi-Sided Platforms in competitive B2B networks (B2B-MSP) and potential influences of increasing governmental involvement remains fragmented. This study develops a taxonomy to classify special B2B-MSP with varying governmental influence in the supply chain and transportation context, viz. Port and Cargo Community Systems (CS). Based on the classification of 44 international CS, we identify four archetypes using cluster analysis. The taxonomy provides practitioners with a differentiated view on the configuration options of CS business models including the involvement of governmental institutions, while the presented archetypes contribute an aggregated view of CS business models. The statistical analysis of our results provides initial explanatory approaches on CS business model dimension interdependencies, thereby laying the basis for a deeper understanding of sectoral and geographic differences of B2B-MSP and their diffusion dynamics as well as facilitating a higher contextualization of future research.

我们对竞争性 B2B 网络 (B2B-MSP) 中繁荣和失败的多边平台的商业模式特征差异以及政府参与度增加的潜在影响的了解仍然零散。本研究开发了一种分类法，用于对在供应链和运输环境中具有不同政府影响的特殊 B2B-MSP 进行分类，即。港口和货运社区系统（CS）。基于 44 个国际 CS 的分类，我们使用聚类分析确定了四种原型。该分类法为从业者提供了关于 CS 商业模式配置选项的差异化观点，包括政府机构的参与，而呈现的原型则提供了 CS 商业模式的汇总视图。