Innovation accounting methods to assure validated learning : the case of Finnish startups
Soto, Esteban (2015)
Turun ammattikorkeakoulu
2015
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2015113018435
https://urn.fi/URN:NBN:fi:amk-2015113018435
Tiivistelmä
This research takes a look at the different ways to measure progress while in a startup. Based on the different theories explained during the literature review, it is clear that a startup needs to measure its progress in a special manner.
The theoretical background starts from briefly defining a startup, innovation and the sources of innovation. Then moves to explain the Lean Startup method’s ideas, validated learning, measuring innovation and innovation accounting (IA) for startups.
Multi-case qualitative study was selected to be the methodology for this thesis. Therefore, four Finnish startups were interviewed and its data analysed one by one. The purpose for the interview was to be able to know how Finnish new ventures are using validated learning to produce value to users, while taking a look at the metrics and targets these companies use to create a sustainable business. After the individual case analysis a multi-case analysis is performed during chapter 4.2.
The multi-case analysis gives the opportunity to present the research findings in the conclusion, it is in the conclusion were the author matched the findings to the research objectives. The case study indicates that IA is a corner stone for the Finnish startups interviewed. There was a common approach to validate learning. In terms of accounting, the metrics and targets selected varied from company to company. Their approach to IA was significantly similar to the theory presented during the theoretical background part of the research.
The theoretical background starts from briefly defining a startup, innovation and the sources of innovation. Then moves to explain the Lean Startup method’s ideas, validated learning, measuring innovation and innovation accounting (IA) for startups.
Multi-case qualitative study was selected to be the methodology for this thesis. Therefore, four Finnish startups were interviewed and its data analysed one by one. The purpose for the interview was to be able to know how Finnish new ventures are using validated learning to produce value to users, while taking a look at the metrics and targets these companies use to create a sustainable business. After the individual case analysis a multi-case analysis is performed during chapter 4.2.
The multi-case analysis gives the opportunity to present the research findings in the conclusion, it is in the conclusion were the author matched the findings to the research objectives. The case study indicates that IA is a corner stone for the Finnish startups interviewed. There was a common approach to validate learning. In terms of accounting, the metrics and targets selected varied from company to company. Their approach to IA was significantly similar to the theory presented during the theoretical background part of the research.