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- W4387017462 abstract "Startup valuation has difficulties due to the facts that these companies have a very short history, limited estimation possibilities for the future of the company, negative cash flows of the company and difficulties to find comparable companies. These difficulties can be partially overcome by developing various assumptions. Firm valuation method with Data Envelopment Analysis (DEA), where valuation tests have been performed for mature firms in the literature and it has been seen that quite satisfactory results are obtained, can also be used in the valuation of startup firms if the input and output data to be used in the analysis can be estimated with various assumptions. In this study, first of all, DEA and the methodology of valuation with DEA are explained, then the value range of a hypothetical startup firm, as well as its maximum value, are estimated by analyzing it with real comparable firm data. As with other valuation methods, the realistic assumptions used in startup valuation with DEA will increase the success of the valuation. In this framework, it is an important requirement to select the most appropriate input-output mix in the startup valuation with DEA and to realistically estimate the selected input-output mix for the startup to be valued." @default.
- W4387017462 created "2023-09-26" @default.
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- W4387017462 date "2023-01-01" @default.
- W4387017462 modified "2023-09-26" @default.
- W4387017462 title "Startup Valuation with Data Envelopment Analysis" @default.
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- W4387017462 doi "https://doi.org/10.1007/978-3-031-35291-1_13" @default.
- W4387017462 hasPublicationYear "2023" @default.
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