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

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Resumo: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.
Autores principais:Farahat, Alireza
Assunto:Idea Evaluation Idea Assessment Idea Quality Idea Generation Start-up Idea Entrepreneurship Idea SDG 9 - Industry, innovation and infrastructure
Ano:2022
País:Portugal
Tipo de documento:dissertação de mestrado
Tipo de acesso:acesso aberto
Instituição associada:Universidade Nova de Lisboa
Idioma:inglês
Origem:Repositório Institucional da UNL
Descrição
Resumo: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.