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Multi-criteria evaluation of innovative projects by means of ELECTRE application

    Oleh Vysochan   Affiliation
    ; Olha Vysochan   Affiliation
    ; Vasyl Hyk   Affiliation
    ; Andriy Boychuk Affiliation

Abstract

The purpose of this article is to study the possibilities of using multi-criteria decision-making tools (MCDM), a separate method of multi-criteria analysis (MCA), to evaluate and rank a set of innovative projects that come to innovation development programs, microorganisms. To assess the relative effectiveness of the implementation of innovative projects of the enterprise using the method of the ELECTRE family, namely – ELECTRE-I. The study demonstrated the effectiveness of using ELECTRE-analysis to evaluate innovative projects within the program of innovative development of the enterprise,taking into account performance (benefit factor), time (cost factor) and resources (cost factor). The study concerned a specific machine-building enterprise to prove the possibility of implementing the ELECTRE method and obtain clear results while expanding the input analytical information in the model by including data from other enterprises of the machine-building industry of Ukraine, which will be the subject of our further research. To build a weighted normalized matrix in the framework of ELECTRE-analysis used weights obtained by interviewing managers of innovative projects of the enterprise, which suggests the presence of a certain level of subjectivity in the assessment. The article is designed to close the gaps in the lack of practical experience in using the tools of multi-criteria analysis to establish the relative effectiveness of the implementation of a set of projects in the program of innovative development of Ukrainian enterprises.

Keyword : innovative project, efficiency, ELECTRE analysis, multicriteria decision making

How to Cite
Vysochan, O., Vysochan, O., Hyk, V., & Boychuk, A. (2022). Multi-criteria evaluation of innovative projects by means of ELECTRE application. Business: Theory and Practice, 23(2), 445–455. https://doi.org/10.3846/btp.2022.15001
Published in Issue
Dec 7, 2022
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Andres, A., & Padilla, E. (2018). Driving factors of GHG emissions in the EU transport activity. Transport Policy, 61, 60–74. https://doi.org/10.1016/j.tranpol.2017.10.008

Benayoun, R., Roy, B., & Sussman, N. (1966). Manual de reference du programme electre. In Note de synthese et formation. No. 25. Direction Scientifique SEMA, Paris, France.

Blindenbach-Driessen, F., van Dalen, J., & van den Ende, J. (2010). Subjective performance assessment of innovation projects. Journal of Product Innovation Management, 27(4), 572–592. https://doi.org/10.1111/j.1540-5885.2010.00736.x

Borocki, J., Tekic, A., & Cvijic, M. (2013). Measuring organizational innovativeness. In H. J. Bullinger & D. Spath (Eds.), Challenges for the future – engineering management (pp. 147–164). Faculty of Technical Sciences, Fraunhofer IAO, DAAAM International.

Bouyssou, D. (2001). Outranking methods. In C. A. Floudas & P. M. Pardalos (Eds.), Encyclopedia of optimization. Springer. https://doi.org/10.1007/0-306-48332-7_376

Boychuk, A. (2018). Control over the implementation of the innovative development program and evaluation of its efficiency. Economics, Entrepreneurship, Management, 5(1), 73–80. https://doi.org/10.23939/eem2018.01.073

Chen, P.-Ch., & Hung, Sh.-W. (2016). An actor-network perspective on evaluating the R&D linking efficiency of innovation ecosystems. Technological Forecasting & Social Change, 112(C), 303–312. https://doi.org/10.1016/j.techfore.2016.09.016

Chwastyk, P. (2013). Multicriteria analysis for decision making in the innovation processes. International Journal of Innovation and Regional Development, 5(2), 196–209. https://doi.org/10.1504/IJIRD.2013.055240

Decision radar. (n.d.). ELECTRE by Decision radar. https://decision-radar.com/electre

Denes, R. V., Kecskes, J., Koltai, T., & Denes, Z. (2017). The application of data environment analysis in healthcare performance evaluation of rehabilitation departments in Hungary. Quality. Innovation. Prosperity, 21(3), 127–142. https://doi.org/10.12776/qip.v21i3.920

Durana, P., Zauskova, A., Vagner, L., & Zadnanova, S. (2020). Earnings drivers of Slovak manufacturers: Efficiency assessment of innovation management. MDPI Applied Sciences, 10(12), 4251. https://doi.org/10.3390/app10124251

Ershova, N., Shangaraev, R., Kostyshak, M., Safonova, N., Sukhova, V., Popkova, E., & Tinkova, E. (2019, 9 August). Assessment of the efficiency of innovation projects in the energy sector. In E3S Web of Conferences SPbWOSCE-2018, International Science Conference on Business Technologies for Sustainable Urban Development. St. Petersburg, Russia. https://doi.org/10.1051/e3sconf/201911002132

Hyk, V., Vysochan, O., & Vysochan, O. (2021). Modeling the options for accounting for the innovation costs of industrial enterprises in Ukraine. Intellectual Economics, 15(1), 88–103. https://doi.org/10.13165/IE-21-15-1-06

Kandybin, A. (2009). Which innovation efforts will pay? MIT Sloan Management Review, 51(1), 53–60.

Kogabayev, T., & Maziliauskas, A. (2016). The role of innovation for efficiency of investments. Science and Studies of Accounting and Finance: Problems and Perspectives, 10(1), 85–91. https://doi.org/10.15544/ssaf.2016.08

Kristiansen, J. N., & Ritala, P. (2018). Measuring radical innovation project success: Typical metric’s don’t work. Journal of Business Strategy, 39(4), 34–41. https://doi.org/10.1108/JBS-09-2017-0137

Maghsoudi, S., Duffield, C., & Wilson, D. I. (2015). Innovation evaluation: Past and current models and a framework for infrastructure projects. International Journal of Innovation Science, 7(4), 281–298. https://doi.org/10.1260/1757-2223.7.4.281

Mal, P., & Majumdar, A. (2019). Elimination and choice translating realty (ELECTRE). In Advanced optimization and decision-making techniques in textile manufacturing (pp. 65–84). CRC Press. https://doi.org/10.1201/9780429504419

Mesran, Suginam, Ginting, G., Suginam, & Rahim, R. (2017). Implementation of elimination and choice expressing realty (ELECTRE) method in selecting the best lecturer (case study STMIK BUDI DARMA). International Journal of Engineering Research & Technology (IJERT), 6(02), 141–144.

Napitupulu, J., & Hasibuan, D. (2017). Study approach ELimination Et Choix Traduisant la REalite (ELECTRE) for dynamic multi-criteria decision. International Journal of Scientific Research in Science and Technology, 3(3), 460–465.

Novikova, M. M., & Burmaka, T. M. (2014). Evaluation of efficiency of innovation projects in housing and communal services. Marketing and Management of Innovations, 4, 91–98.

Paraniuk, Ya. (2018). Methodological aspects of evaluating the efficiency of innovation projects. Herald of TNEU, 2(88), 66–73 (in Ukrainian). https://doi.org/10.35774/visnyk2018.02.066

Park, J. H., & Shin, K. (2018). Efficiency of government-sponsored R&D projects: A metafrontier DEA approach. MDPI Sustainability, 10(7), 2316. https://doi.org/10.3390/su10072316

Pererva, P., Besprozvannykh, O., Tiutlikova, V., Kovalova, V., Kudina, O., & Dorokhov, O. (2019). Improvement of the method for selecting innovation projects on the platform of innovative supermarket. TEM Journal – Technology, Education, Management, Informatics, 8(2), 454–461.

Sipos, G. L., & Ciurea, J. B. (2007). Evaluation method of the innovation project global efficiency. Robotica & Management, 12(2), 59–64.

Sipos, G. L. (2009). Measuring the innovation projects effectiveness. Megatrend Review, 6(2), 229–238.

Stosic, B., Milutinovic, R., Zakic, N., & Zivkovic, N. (2016). Selected indicators for evaluation of eco-innovation projects. Innovation: The European Journal of Social Science Research, 29, 177–191. https://doi.org/10.1080/13511610.2016.1157682

Vysochan, O., Vysochan, O., & Hyk, V. (2021a). Cluster analysis of charitable organizations of Ukraine using K-means technology. Administratie si Management Public, 37, 117–131. https://doi.org/10.24818/amp/2021.37-08

Vysochan, O., Vysochan, O., Hyk, V., & Hryniv, T. (2021b). Attributive-spatial tourist clusteration of regions of Ukraine. GeoJournal of Tourism and Geosites, 35(2), 480–489. https://doi.org/10.30892/gtg.35228-675

Vysochan, O., Vysochan, O., Yasinska, A., & Hyk, V. (2021c). Selection of accounting software for small and medium enterprises using the Fuzzy Topsis method. TEM Journal – Technology, Education, Management, Informatics, 10(3), 1348–1356. https://doi.org/10.18421/TEM103-43

Yucel, M. G., & Gorener, A. (2016). Decision making for company acquisition by ELECTRE method. International Journal of Supply Chain Management, 5(1), 75–83.

Zizlavsky, O. (2014). Net present value approach: Method for economic assessment of innovation projects. Procedia – Social and Behavioral Sciences, 156, 506–512. https://doi.org/10.1016/j.sbspro.2014.11.230