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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

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&apos; 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&apos; 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

  • 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

  • e-ISSN

  • 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