Designing business model taxonomies – synthesis and guidance from information systems research
| Autor: | Frederik Möller, Maleen Stachon, Can Azkan, Thorsten Schoormann, Boris Otto |
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| Přispěvatelé: | Publica |
| Rok vydání: | 2021 |
| Předmět: |
Literature review
Marketing Automatische Klassifikation Economics and Econometrics Geschäftsmodell Taxonomie Informationsmanagement Classification Computer Science Applications Business model taxonomy Management of Technology and Innovation Informationssystem Business and International Management Taxonomy Business model |
| Zdroj: | Electronic Markets. 32:701-726 |
| ISSN: | 1422-8890 1019-6781 |
| Popis: | Classification is an essential approach in business model research. Empirical classifications, termed taxonomies, are widespread in and beyond Information Systems (IS) and enjoy high popularity as both stand-alone artifacts and the foundation for further application. In this article, we focus on the study of empirical business model taxonomies for two reasons. Firstly, as these taxonomies serve as a tool to store empirical data about business models, we investigate their coverage of different industries and technologies. Secondly, as they are emerging artifacts in IS research, we aim to strengthen rigor in their design by illustrating essential design dimensions and characteristics. In doing this, we contribute to research and practice by synthesizing the diffusion of business model taxonomies that helps to draw on the available body of empirical knowledge and providing artifact-specific guidance for building taxonomies in the context of business models. Electronic markets;Vol. 32. 2022, Issue 2, pp 701-726 |
| Databáze: | OpenAIRE |
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