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A Comprehensive Model for Idea Evaluation at Early-Stage Level (Pre-Seed)

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  • Mai, Nhat Chi

Abstract

Nowadays, governments encourage people to be an entrepreneur and start their businesses. Because small and medium enterprises play a critical role in economic growth as well as social subjects. However, statistics show a larger number of start-ups eventually fail due to several reasons. Among all, the cause of this failure could be a lack of correct evaluation of the idea at the early stage. Therefore, this study is seeking the most crucial criteria of the idea evaluation process to aid entrepreneurs to take the right assessment and prevent failure. The study uses a mixed method, which consists of narratives and systematic review, and then follows a series of qualitative interviews with start-up coaches, business investors, and both successful and failed start-up founders to have comprehensive opinions about the explored criteria. In the conclusion, the study suggests a framework of idea evaluation that is consists of the 16 most significant idea evaluation criteria which distributed among four stages. This framework could be considered as a feed for future studies to use artificial intelligence for assessing start-up ideas at the early stage.

Suggested Citation

  • Mai, Nhat Chi, 2021. "A Comprehensive Model for Idea Evaluation at Early-Stage Level (Pre-Seed)," OSF Preprints axngj, Center for Open Science.
    • Handle: RePEc:osf:osfxxx:axngj
    DOI: 10.31219/osf.io/axngj
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    References listed on IDEAS

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