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2020 | z. 144 | 363--372
Tytuł artykułu

A Concept of Resultant Corporate Innovativeness Assessment Model

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Purpose: The main reason for developing the model was to fulfil the gap in the scope of synthetic/aggregate measure of corporate innovativeness in terms of company's results in this area and their impact on its performance. Design/methodology/approach: In the proposed concept two aspects have been considered: quantitative and qualitative results of company's innovation activity (i) and impact of this results on financial performance of company and its efficiency (ii). Due to the fact, that access to information on innovative activities results of companies is highly diversified, proposed model provides two versions to use: one, more general, based on public sources of data (Public Data Approach) and one, more detailed, based on data which should be collected through survey research (Survey Data Approach). The basis for corporate resultant innovativeness model creation was an assumption, that the ultimate market success of the company is not determined by how many innovative solutions it implements and introduces to the market and with what force it does it, but how these solutions will be accepted by the market and what economic benefits the company will receive due to them. Findings: Proposed methodology of innovativeness assessment gives a chance to eliminate several key shortcomings of the so far used methods and concepts of corporate innovativeness measurement and assessment. Research limitations/implications: Input data accessibility, development of knowledge (rules) bases needed to perform fuzzy inference. Practical implications: Presented model gives an opportunity to assess and compare enterprises in terms of their resultant innovativeness and then to assess the impact of this innovativeness on their performance. Social implications: Assessments generated by presented model can be basis for managerial decisions inside the assessed enterprise or investment decisions of investors in the capital market. Originality/value: Original approach for aggregate corporate resultant innovativeness assessment that eliminates several weaknesses of methods used so far. (original abstract)
Rocznik
Numer
Strony
363--372
Opis fizyczny
Twórcy
  • Silesian University of Technology
Bibliografia
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  • 3. Drucker, P. (1992). Innowacja i przedsiębiorczość. Warszawa: PWE.
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  • 6. Hult, G., Tomas, M., Hurley, R.F., and Knight, G.A. (2004). Innovativeness: its antecedents and impact on business performance. Industrial Marketing Management, 33, pp. 429-38. doi: https://doi.org/10.1016/j.indmarman.2003.08.015.
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  • 8. Jung, D., Wu, A., and Chow, C.W. (2008). Towards understanding the direct and indirect effects of CEO's transformational leadership on firm innovation. The Leadership Quarterly, 19, pp. 582-594. doi: 10.1016/j.leaqua.2008.07.007.
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  • 10. Makri, M., and Scandura, T.A. (2010). Exploring the effects of creative CEO leadership on innovation in high-technology firms. The Leadership Quarterly, 21, pp. 75-88. doi: 10.1016/j.leaqua.2009.10.006.
  • 11. Morgan, R., and Berthon, P. (2008). Market orientation, generative learning, innovation strategy and business performance inter-relationships in bioscience firms. Journal of Management Studies, 45(8), pp. 1329-53. doi: 10.1111/j.1467-6486.2008.00778.x.
  • 12. Nawrocki, T. (2012). Innowacyjność produktowa przedsiębiorstw. Metodyka oceny na przykładzie spółek giełdowych. Warszawa: CeDeWu.
  • 13. Nawrocki, T. (2015). Problematyka pomiaru i oceny innowacyjności przedsiębiorstw, Zeszyty Naukowe Politechniki Śląskiej, Seria: Organizacja i Zarządzanie, 79, pp. 217-26.
  • 14. Nawrocki, T., and Żabka, A. (2011). Działalność innowacyjna spółek giełdowych, Ekonomika i Organizacja Przedsiębiorstwa, 11, pp. 3-12.
  • 15. OECD and Eurostat (1997). Oslo Manual. Guidelines for Collecting and Interpreting Innovation Data. Paris: OECD Publishing. https://doi.org/10.1787/9789264192263-en.
  • 16. OECD and Eurostat (2005). Oslo Manual. Guidelines for Collecting and Interpreting Innovation Data. Paris: OECD Publishing. https://doi.org/10.1787/9789264013100-en.
  • 17. OECD (2015). Frascati Manual. Guidelines for Collecting and Reporting Data on Research and Experimental Development - The Measurement of Scientific, Technological and Innovation Activities. Paris: OECD Publishing. https://doi.org/10.1787/ 9789264239012-en.
  • 18. Piegat, A. (2001). Fuzzy Modeling and Control. Berlin Heidelberg: Springer-Verlag.
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  • 21. Prahalad, C.K., Hamel, G., (1990) The Core Competence of the Corporation. Harvard Business Review, 68, pp. 79-90. doi: 10.1007/3-540-30763-X_14.
  • 22. Rogers, E.M. (1995). Diffusion of innovations. New York: The Free Press.
  • 23. Schumpeter, J.A. (1960). Teoria rozwoju gospodarczego. Warszawa: PWN.
  • 24. Simpson, P.M., Siguaw, J.A., and Enz, C.A. (2006). Innovation orientation outcomes: the good and the bad. Journal of Business Research, 59, pp. 1133-41. doi:10.1016/ j.jbusres.2006.08.001.
  • 25. Strahl, D. (1978). Propozycja konstrukcji miary syntetycznej, Przegląd Statystyczny, 25, 2, pp. 205-215.
  • 26. Yeung, A.C.L., Lai, K., and Yee, R.W.Y. (2007). Organizational learning, innovativeness and organizational performance: a qualitative investigation, International Journal of Production Research, 45, pp. 2459-77. doi: 10.1080/00207540601020460.
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Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171595877

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