Business Model Canvas Should Pay More Attention to the Software Startup Team
Abstract
Business Model Canvas (BMC) is a tool widely used to describe startup business models. Despite the various business aspects described, BMC pays a little emphasis on team- related factors. The importance of team-related factors in software development has been acknowledged widely in literature. While not as extensively studied, the importance of teams in software startups is also known in both literature and among practitioners. In this paper, we propose potential changes to BMC to have the tool better reflect the importance of the team, especially in a software startup environment. Based on a literature review, we identify various components related to the team, which we then further support with empirical data. We do so by means of a qualitative case study of five startups.
Main Authors
Format
Conferences
Conference paper
Published
2020
Series
Subjects
Publication in research information system
Publisher
IEEE
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202101111049Käytä tätä linkitykseen.
Parent publication ISBN
978-1-7281-9533-9
Review status
Peer reviewed
ISSN
1089-6503
DOI
https://doi.org/10.1109/seaa51224.2020.00063
Conference
Euromicro Conference on Software Engineering and Advanced Applications
Language
English
Published in
Euromicro Conference on Software Engineering and Advanced Applications
Is part of publication
SEAA 2020 : 46th Euromicro Conference on Software Engineering and Advanced Applications
Citation
- Kemell, K.-K., Elonen, A., Suoranta, M., Nguyen-Duc, A., Garbajosa, J., Chanin, R., Melegati, J., Rafiq, U., Aldaeej, A., Assyne, N., Sales, A., Hyrynsalmi, S., Risku, J., Edison, H., & Abrahamsson, P. (2020). Business Model Canvas Should Pay More Attention to the Software Startup Team. In A. Martini, M. Wimmer, & A. Skavhaug (Eds.), SEAA 2020 : 46th Euromicro Conference on Software Engineering and Advanced Applications (pp. 342-345). IEEE. Euromicro Conference on Software Engineering and Advanced Applications. https://doi.org/10.1109/seaa51224.2020.00063
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Additional information about funding
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 754489 and with the financial support of the Science Foundation Ireland grant 13/RC/2094.
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