Assessing Commercial Viability of Technology Start-up Businesses in a Government Venture Capital under Intuitionistic Fuzzy Environment
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 set...
Gespeichert in:
Veröffentlicht in: | International journal of fuzzy systems 2017-04, Vol.19 (2), p.400-413 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | 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. |
---|---|
ISSN: | 1562-2479 2199-3211 |
DOI: | 10.1007/s40815-016-0141-9 |