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
DisciplineTietojärjestelmätiedeStrategia ja yrittäjyysResponsible Management, Learning, Digitalization & StrategyVastuullinen liiketoiminta (painoala)Information Systems ScienceStrategy and EntrepreneurshipResponsible Management, Learning, Digitalization & StrategyResponsible Business (focus area)
© 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.
Parent publication ISBN978-1-7281-9533-9
Is part of publicationSEAA 2020 : 46th Euromicro Conference on Software Engineering and Advanced Applications
Publication in research information system
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Additional information about fundingThis 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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