Business Model Canvas Should Pay More Attention to the Software Startup Team
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
Authors
Date
2020Discipline
TietojärjestelmätiedeStrategia ja yrittäjyysResponsible Management, Leardership, Digitalization & StrategyKestävä liiketoiminta ja talous (painoala)Information Systems ScienceStrategy and EntrepreneurshipResponsible Management, Leardership, Digitalization & StrategySustainable Business and Economy (focus area)Copyright
© 2020, IEEE
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.
Publisher
IEEEParent publication ISBN
978-1-7281-9533-9Conference
Is part of publication
SEAA 2020 : 46th Euromicro Conference on Software Engineering and Advanced ApplicationsISSN Search the Publication Forum
1089-6503Keywords
Publication in research information system
https://converis.jyu.fi/converis/portal/detail/Publication/43381903
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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.License
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