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政府影响力各异的竞争性B2B网络中的多边平台——港口与货运社区系统商业模式分类法

Multi-sided platforms in competitive B2B networks with varying governmental influence - a taxonomy of Port and Cargo Community System business models.

作者信息

Tessmann Ruben, Elbert Ralf

机构信息

Technical University of Darmstadt, Hochschulstraße 1, 64289 Darmstadt, Germany.

出版信息

Electron Mark. 2022;32(2):829-872. doi: 10.1007/s12525-022-00529-z. Epub 2022 Apr 26.

DOI:10.1007/s12525-022-00529-z
PMID:35602111
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9040361/
Abstract

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.

摘要

我们对于竞争激烈的企业对企业网络(B2B)中蓬勃发展和失败的多边平台(B2B-MSP)商业模式特征差异,以及政府参与度增加所产生的潜在影响的了解仍然支离破碎。本研究开发了一种分类法,用于对在供应链和运输背景下,即港口和货运社区系统(CS)中,受政府影响程度不同的特殊B2B-MSP进行分类。基于对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情况,而所呈现的原型则提供了CS商业模式的综合观点。我们对结果的统计分析提供了关于CS商业模式维度相互依存关系的初步解释方法,从而为更深入理解B2B-MSP的部门和地理差异及其扩散动态奠定基础,并促进未来研究的更高情境化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f082/9040361/c9318978f339/12525_2022_529_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f082/9040361/f97347e90625/12525_2022_529_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f082/9040361/6f1981fd2757/12525_2022_529_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f082/9040361/c9318978f339/12525_2022_529_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f082/9040361/f97347e90625/12525_2022_529_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f082/9040361/6f1981fd2757/12525_2022_529_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f082/9040361/c9318978f339/12525_2022_529_Fig3_HTML.jpg

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