The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A research framework for analysing eBusiness models
Abstract
As eBusiness is moving towards maturity, research interests shift to the investigation of opportunities for market exploitation of eBusiness technologies. As a result, the debate around business models naturally becomes more topical. However, while many researchers and practitioners are contemplating business models, there is an alarming lack of theoretical tools in the literature to structure and codify knowledge in the area. This paper draws on an extensive review of the literature to propose an analytic framework that decomposes the area of business models into eight research sub-domains. The proposed framework is then applied to organize and critically review existing research under each sub-domain as well as to define an agenda of future challenges on business model research. The framework can benefit future research by allowing researchers to better concentrate their efforts and place their contributions in an overall context, thus assisting in building a coherent body of knowledge in the challenging research domain of business models.
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Citations
Cites
The business model ontology a proposition in a design science approach
Osterwalder, A. (2004) · Unknown · doi:10.22005/bcu.15985 · Cited by 1,932
The business model concept: Theoretical underpinnings and empirical illustrations
Hedman, J., & Kalling, T. (2003) · European Journal of Information Systems · doi:10.1057/palgrave.ejis.3000446 · Cited by 919
Cited by
Developing a unified framework of the business model concept
Al-Debei, M. M., & Avison, D. (2010) · European Journal of Information Systems · doi:10.1057/ejis.2010.21 · Cited by 879
From strategic goals to business model innovation paths: An exploratory study
Heikkilä, M., Bouwman, H., & Heikkilä, J. (2018) · Journal of Small Business and Enterprise Development · doi:10.1108/jsbed-03-2017-0097 · Cited by 147
A Survey of Data Quality Measurement and Monitoring Tools
Ehrlinger, L., & Wöß, W. (2022) · Frontiers in Big Data · doi:10.3389/fdata.2022.850611 · Cited by 25
Metadata
- Authors
- Pateli, A. G., & Giaglis, G. M.
- Venue
- European Journal of Information Systems
- Publisher
- Informa UK Limited
- Published
- 2004-12
- Volume
- 13
- Issue
- 4
- Pages
- 302-314
- ISSN
- 0960-085X (ISSN-L)
- 1476-9344
- OpenAlex
- W1969253151
- Cited by
- 386
- References
- 2
- FWCI
- 17.65
- Type
- journal article
- Language
- en
- Open access
- closed
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