Integrating Balanced Scorecard and Fuzzy TOPSIS for Innovation Performance Evaluation
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F18%3A39913296" target="_blank" >RIV/00216275:25410/18:39913296 - isvavai.cz</a>
Výsledek na webu
<a href="https://aisel.aisnet.org/pacis2018/26" target="_blank" >https://aisel.aisnet.org/pacis2018/26</a>
DOI - Digital Object Identifier
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Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Integrating Balanced Scorecard and Fuzzy TOPSIS for Innovation Performance Evaluation
Popis výsledku v původním jazyce
Innovation performance measurement is challenging due to the complexity and multidimensionality of the innovation processes. In fact, it is difficult to recognize what and how it should be measured. A solution can be the use of Balanced Scorecard (BSC) method that is easily adaptable to the needs of the organization in any of its strategic areas. However, the comprehensive measurement of innovation performance is also associated with a high level of uncertainty. This is mainly due to the fact that measurement methods are very often based on respondents' opinions. Hence, fuzzy set-based approaches are appropriate for this evaluation. Fuzzy TOPSIS is reported to be a reliable method used for multi-criteria decision making, where reference is made to a preferred/non-preferred alternative. This method allows not only taking into account the uncertainty present in the evaluation of innovation performance, but it also allows comparison and ranking of companies both within and among the different branches of industry. Hence, we propose an approach for innovation performance evaluation that integrates BSC and fuzzy TOPSIS. Empirical experiments are carried out on a large data set of European companies and the results are verified by the division of companies into knowledge intensive and high-tech industries. Further, the results are compared with exploratory factor analysis, the traditional statistical method used to evaluate innovation performance.
Název v anglickém jazyce
Integrating Balanced Scorecard and Fuzzy TOPSIS for Innovation Performance Evaluation
Popis výsledku anglicky
Innovation performance measurement is challenging due to the complexity and multidimensionality of the innovation processes. In fact, it is difficult to recognize what and how it should be measured. A solution can be the use of Balanced Scorecard (BSC) method that is easily adaptable to the needs of the organization in any of its strategic areas. However, the comprehensive measurement of innovation performance is also associated with a high level of uncertainty. This is mainly due to the fact that measurement methods are very often based on respondents' opinions. Hence, fuzzy set-based approaches are appropriate for this evaluation. Fuzzy TOPSIS is reported to be a reliable method used for multi-criteria decision making, where reference is made to a preferred/non-preferred alternative. This method allows not only taking into account the uncertainty present in the evaluation of innovation performance, but it also allows comparison and ranking of companies both within and among the different branches of industry. Hence, we propose an approach for innovation performance evaluation that integrates BSC and fuzzy TOPSIS. Empirical experiments are carried out on a large data set of European companies and the results are verified by the division of companies into knowledge intensive and high-tech industries. Further, the results are compared with exploratory factor analysis, the traditional statistical method used to evaluate innovation performance.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
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OECD FORD obor
50601 - Political science
Návaznosti výsledku
Projekt
<a href="/cs/project/GA17-11795S" target="_blank" >GA17-11795S: Modelování dynamiky determinantů národní a regionální produktivity založené na znalostních a kooperačních efektech</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
PACIS 2018 Proceedings
ISBN
978-4-902590-83-8
ISSN
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e-ISSN
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Počet stran výsledku
8
Strana od-do
"nestrankovano"
Název nakladatele
Association for Information Systems
Místo vydání
Atlanta
Místo konání akce
Jokohama
Datum konání akce
26. 6. 2018
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
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