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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Soft Computing

ISSN

1432-7643

e-ISSN

1433-7479

Svazek periodika

24

Číslo periodika v rámci svazku

18

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

18

Strana od-do

13517-13534

Kód UT WoS článku

000558525400002

EID výsledku v databázi Scopus

2-s2.0-85071082247