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Towards a Comprehensive Understanding of Business Model Literature : A Network-based Cluster Analysis

  • The aim of this study is to analyze the bibliographic network of business model literature, to identify research streams and clusters as well as to describe their content. To achieve this objective, an extensive literature review is conducted to identify the most relevant research papers in that field. The scholarly work is extracted from the OpenAlex scientific database encompassing publications up to the end of the year 2023. A specific search for the term “Business Model” in the titles of scholarly works found 30,590 publications. For each document, the total strength of its bibliographic coupling links with other documents, and thus the similarity between their reference lists, is calculated. The inner circle of this network, consisting of the 928 publications with the highest coupling strengths, is selected for further analysis. In the resulting bibliographic network core, a cluster analysis is performed.

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Author:Michael Schuricht, Ahsanullah MohsenORCiD
Title (English):Towards a Comprehensive Understanding of Business Model Literature : A Network-based Cluster Analysis
URL:https://ebesweb.org/wp-content/uploads/2024/10/49th-EBES-Conference-Program_v16.pdf
Parent Title (English):49th EBES Conference Proceedings
Document Type:Conference Proceeding
Language:English
Year of Completion:2024
Release Date:2024/11/12
Tag:Bibliographic Network Analysis; Business Models; Cluster Analysis; Research Streams; Scholarly Literature; Thematic Analysis
Note:
49th EBES Conference, October 16-18, 2024, Athens, Greece
Faculties:Fakultät MKT / Institut für Management und Technik
DDC classes:300 Sozialwissenschaften / 300 Sozialwissenschaften, Soziologie, Anthropologie
Review Status:Eingereichte Fassung
Collections:nur Publikationsnachweis