IT2-based multidimensional evaluation approach to the signaling: investors’ priorities for the emerging industries

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60162694%3AG43__%2F20%3A00536920" target="_blank" >RIV/60162694:G43__/20:00536920 - isvavai.cz</a>

Result on the web

<a href="https://link.springer.com/article/10.1007/s00500-019-04288-6" target="_blank" >https://link.springer.com/article/10.1007/s00500-019-04288-6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00500-019-04288-6" target="_blank" >10.1007/s00500-019-04288-6</a>

Result language

angličtina

Original language name

IT2-based multidimensional evaluation approach to the signaling: investors’ priorities for the emerging industries

Original language description

Grounded in the signaling theory, the study aims to develop a model for evaluation of emerging industries. The integrated method is proposed to evaluate the emerging industries with DANP (DEMATEL-based Analytic Network Process) and MOORA (Multi-Objective Optimization on the basis of Ratio Analysis) methodologies based on interval type 2 fuzzy sets, respectively. The application is illustrated by considering cleantech, new generation of information technology, biology/biotechnology and high-end equipment manufacturing industries, three dimensions and 12 criteria. The novelties of the study lie in a set of criteria and alternatives for the signaling in emerging industries supported by the literature and suggest a hybrid decision-making model based on the type 2 fuzzy sets. The signaling determinants for emerging industries could be evaluated by the proposed interval type 2 hybrid decision-making approach more accurately. The results demonstrate that the firms, operating in emerging industries at the early stage of their development, have to put emphasis on the third-party endorsements and human capital criteria, aiming to attract external investors. The suggested method lets the external investors narrow their options in selecting emerging industries and select the most attractive industries or spread investments among the most attractive industries.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Soft Computing

ISSN

1432-7643

e-ISSN

1433-7479

Volume of the periodical

24

Issue of the periodical within the volume

18

Country of publishing house

DE - GERMANY

Number of pages

18

Pages from-to

13517-13534

UT code for WoS article

000558525400002

EID of the result in the Scopus database

2-s2.0-85071082247