Do not judge a business idea by its cover: The relation between topics in business ideas and incorporation probability

Jessica Birkholz ()
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Jessica Birkholz: University of Bremen

The Journal of Technology Transfer, 2023, vol. 48, issue 4, No 8, 1327-1358

Abstract: Abstract It is of key importance to identify the degree of novelty and probability of incorporation of business ideas in an early stage, so that targeted support of these different types of entrepreneurship is possible. Selection of business ideas for investments and support programs rely on quantitative and qualitative metrics. The qualitative assessment, however, is biased by subjective impressions and experiences of the decision-maker. Therefore, this paper examines the narrative of business idea descriptions to improve the identification of the degree of novelty and to enhance the estimation of the incorporation probability by advancing the objectivity of qualitative metrics. The paper aims to answer two questions: (1) Are there differences in topic prevalences in novel and non-novel business ideas?, and (2) Does the composition of topics related to a business idea influence its incorporation probability? Structural topic modelling and classification tree analysis are applied on business idea descriptions from a competition in Bremen, Germany, from 2003 until 2019. The results show that business idea descriptions are a rich source of information to identify novel and non-novel business ideas with higher incorporation prospects.

Keywords: Business idea; Machine learning; Incorporation (search for similar items in EconPapers)
JEL-codes: L26 O30 O38 (search for similar items in EconPapers)
Date: 2023
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DOI: 10.1007/s10961-022-09966-6

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