Syddansk Universitet Using Fuzzy-TOPSIS Method to Rank Investors’ Decision Variables in Venture Proposals Evaluation Giones, Ferran; Riu, David; Rovira, Xari Publication date: 2016 Document version Publisher's PDF, also known as Version of record Citation for pulished version (APA): Giones, F., Riu, D., & Rovira, X. (2016). Using Fuzzy-TOPSIS Method to Rank Investors’ Decision Variables in Venture Proposals Evaluation. Abstract from 83rd Meeting of Euro Working Group on MCDA, Sant Cugat, Spain. General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal ? Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Download date: 29. Jul. 2017 83 ND MEETING OF EURO WORKING GROUP ON MCDA, MARCH 31-APRIL, 2016 Using Fuzzy-TOPSIS Method to Rank Investors’ Decision Variables in Venture Proposals Evaluation Ferran Giones, David Riu La Salle URL Xari Rovira ESADE Business School Keywords: Fuzzy variables, Group Decision-Making, Ranking, Entrepreneurial Investment ABSTRACT Understanding the criteria used by investors to evaluate new ventures’ proposals remains an active area of research in entrepreneurship (Nunes et al. 2014). Prior research identifies that there are differences in the types and importance of criteria used to evaluate venture proposals (Streletzki & Schulte 2013), and suggests that in some cases just a few element define the criteria used to make investment decisions (Maxwell et al. 2011). Despite scholars’ interest in understanding the evaluation criteria it is still remains unclear the criteria and order of importance (Franke et al. 2008; Nunes et al. 2014). We propose a method based on Fuzzy Order Preference by Similarity to an Ideal Solution (Fuzzy TOPSIS) to help entrepreneurs to analyze the evaluation, in terms of fuzzy opinions, of new ventures proposals. To this end a set of fuzzy linguistic terms based on triangular fuzzy numbers are considered. A group of investment experts has been considered to assess different factors and variables by means of linguistic terms with different levels of precision. Results provide not only a ranked list of variables obtained from the group of experts’ opinion buy also a measure of the consensus reaches. A real example is presented to show the real applicability and efficiency of the proposed methodology. References: Franke,N.etal.,2008.VentureCapitalists’EvaluationsofStart-UpTeams:Trade-Offs,Knock-Out Criteria,andtheImpactofVCExperience.EntrepreneurshipTheoryandPractice,32(3),pp.459– 483. Maxwell,A.L.,Jeffrey,S.A.&Lévesque,M.,2011.Businessangelearlystagedecisionmaking.Journal ofBusinessVenturing,26(2),pp.212–225. Nunes,J.C.,GomesSantanaFélix,E.&PachecoPires,C.,2014.Whichcriteriamattermostinthe evaluationofventurecapitalinvestments?JournalofSmallBusinessandEnterprise Development,21(3),pp.505–527. Streletzki,J.-G.&Schulte,R.,2013.Start-upteamsandventurecapitalexitperformanceinGermany: venturecapitalfirmsarenotselectingontherightcriteria.JournalofSmallBusiness& Entrepreneurship,26(6),pp.601–622. 1
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