The recent methods of start-up valuation seek to compensate for the lack of data necessary for a standard company valuation with additional information on the person of the entrepreneur and business project. None of the existing approaches, however, takes into consideration information about the environment in which the venture capitalists conduct their investments. Therefore, the aim of this paper is to develop an approach considering factors of the investee companies’ environment. Such a modification will allow a more accurate estimate of the value of the projects investigated. The nature of this study is explorative. It relies on secondary data that was collected using interviews and semi-structured questionnaires in previous empirical studies. During the course of the modelling process, information on the quality of the investee companies’ environment expressed is incorporated into the established start-up project valuations. Our original proposal consists of the modification of the β coefficient calculation for a given type of projects. An essential part of this modification is also a proposal for the extension of the project scoring characteristics to include expert estimates and, in the case of regression analysis, the inclusion of explanatory variables expressing the suitability of the environment for venture capital investments.
Dusatkova, M. S., & Zinecker, M. (2016). Valuing start-ups – selected approaches and their modification based on external factors. Business: Theory and Practice, 17(4), 335-344. https://doi.org/10.3846/btp.17.11129
Authors who publish with this journal agree to the following terms
that this article contains no violation of any existing copyright or other third party right or any material of a libelous, confidential, or otherwise unlawful nature, and that I will indemnify and keep indemnified the Editor and THE PUBLISHER against all claims and expenses (including legal costs and expenses) arising from any breach of this warranty and the other warranties on my behalf in this agreement;
that I have obtained permission for and acknowledged the source of any illustrations, diagrams or other material included in the article of which I am not the copyright owner.
on behalf of any co-authors, I agree to this work being published in Creativity Studies as Open Access, and licenced under a Creative Commons Licence, 4.0 https://creativecommons.org/licenses/by/4.0/legalcode. This licence allows for the fullest distribution and re-use of the work for the benefit of scholarly information.
For authors that are not copyright owners in the work (for example government employees), please contact VILNIUS TECH to make alternative agreements.