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Assessing commercial viability of technology start-up businesses in a government venture capital under intuitionistic fuzzy environment

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dc.title Assessing commercial viability of technology start-up businesses in a government venture capital under intuitionistic fuzzy environment en
dc.contributor.author Afful-Dadzie, Eric
dc.contributor.author Afful-Dadzie, Anthony
dc.contributor.author Komínková Oplatková, Zuzana
dc.relation.ispartof International Journal of Fuzzy Systems
dc.identifier.issn 1562-2479 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2017
utb.relation.volume 19
utb.relation.issue 2
dc.citation.spage 400
dc.citation.epage 413
dc.type article
dc.language.iso en
dc.publisher Springer Heidelberg
dc.identifier.doi 10.1007/s40815-016-0141-9
dc.relation.uri https://link.springer.com/article/10.1007/s40815-016-0141-9
dc.subject Commercialization en
dc.subject Government venture capital (GVC) en
dc.subject Intuitionistic fuzzy TOPSIS (IFS) en
dc.subject Multi-criteria decision making en
dc.subject Technology start-up businesses en
dc.description.abstract Governments around the world are increasingly showing keen interests in venture capital investments in technology start-up businesses. However, determining the commercial potential of a new Technology start-up business is generally seen as a complex exercise especially in a government-controlled setting where selection of candidates can be clouded by several peripheral considerations. To generate more interests in decision-making models aimed at assessing the commercial viability of candidate start-up businesses in a government-run venture capital, this study (1) provides a modified form of the Strategic Technology Evaluation Program (STEP) called G-STEP as a new selection criteria for a government-controlled venture capital scheme (2) adopts a comprehensive intuitionistic fuzzy TOPSIS framework with a sensitivity analysis component for the assessment of early stage but high potential tech start-up firms and (3) demonstrates its applicability with a numerical example assessing the commercial potential of start-up businesses in a Government technology venture capital program. The proposed decision-making framework could be useful in the assessment and selection problems in other government priority areas. © 2016, Taiwan Fuzzy Systems Association and Springer-Verlag Berlin Heidelberg. en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1007156
utb.identifier.rivid RIV/70883521:28140/16:43875603
utb.identifier.obdid 43876370
utb.identifier.scopus 2-s2.0-85016728125
utb.identifier.wok 000399118100011
utb.source j-wok
dc.date.accessioned 2017-08-01T08:27:22Z
dc.date.available 2017-08-01T08:27:22Z
dc.description.sponsorship Tech CZ.1.05/2.1.00/03.0089, ERDF, European Regional Development Fund
dc.description.sponsorship Grant Agency of the Czech Republic-GACR [P103/15/06700S]; NPU I [MSMT-7778/2014]; Ministry of Education of the Czech Republic; European Regional Development Fund under the Project CEBIA-Tech [CZ.1.05/2.1.00/03.0089]; Internal Grant Agency of Tomas Bata University [IGA/FAI/2015/054, IGA/FaME/2014/007, IGA/FaME/2015/023]
utb.contributor.internalauthor Afful-Dadzie, Eric
utb.contributor.internalauthor Komínková Oplatková, Zuzana
utb.fulltext.affiliation Eric Afful-Dadzie 1 http://orcid.org/0000-0003-1514-7825 • Anthony Afful-Dadzie 2 • Zuzana Komíková Oplatková 1 & Eric Afful-Dadzie afful@fai.utb.cz Anthony Afful-Dadzie atosarsah@gmail.com Zuzana Komíková Oplatková kominkovaoplatkova@fai.utb.cz 1 Faculty of Applied Informatics, Tomas Bata University in Zlin, Zlin, Czech Republic 2 University of Ghana Business School, University of Ghana, Accra, Ghana
utb.fulltext.dates Received: 1 June 2015 / Revised: 13 December 2015 / Accepted: 4 January 2016 / Published online: 14 March 2016
utb.fulltext.sponsorship This work was supported by Grant Agency of the Czech Republic–GACR P103/15/06700S, further by financial support of research project NPU I no. MSMT-7778/2014 by the Ministry of Education of the Czech Republic and also by the European Regional Development Fund under the Project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089. Further, this work was supported by Internal Grant Agency of Tomas Bata University under the project nos. IGA/FAI/2015/054 and IGA/FaME/2014/007, IGA/FaME/2015/023.
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