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Methodological aspects of innovation performance measurement in the IT sector

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PL
Metodologiczne aspekty pomiaru sprawności innowacyjnej w sektorze IT
Języki publikacji
EN
Abstrakty
EN
The aim of the paper is to answer the research question of what innovation performance indicators are appropriate for research on innovation process in the IT sector in the Lubuskie voivodship. The authors have used the method of systematic review of literature and have analysed 125 research papers and additional sources. The research consluions are that the indicators shoud consider such aspects as the dimmension of innovation performance, the type of product novelty and level of analysis.
PL
Celem pracy była odpowiedź na pytanie badawcze, które wskaźniki sprawności innowacyjnej są odpowiednie w odniesieniu do badań nad procesem innowacji w sektorze IT w województwie lubuskim. Autorzy wykorzystali metodę systematycznego przeglądu literatury i przeanalizowali 125 prac badawczych oraz dodatkowych źródeł. Analiza pokazała, że wskaźniki powinny uwzględniać następujące aspekty: wymiary innowacyjności, rodzaj nowości i poziom analizy.
Czasopismo
Rocznik
Strony
20--33
Opis fizyczny
Bibliogr. 38 poz., rys.
Twórcy
autor
  • University of Zielona Góra Faculty of Economics and Management
autor
  • University of Zielona Góra Faculty of Economics and Management
Bibliografia
  • 1. Chen, X.-H., Zhao, K., Liu, X., Wu, D.D. ( 2012), Improving employees’ job satisfaction and innovation performance using conflict management, “International Journal of Conflict Management”, Vol. 23, no. 2, pp. 151-172, Doi: 10.1108/10444061211218276.
  • 2. Chen C.J., Huang Y.F. (2010), Creative workforce density, organizational slack, and innovation performance, “Journal of Business Research”, Vol. 63, pp. 411–417.
  • 3. Czakon W. (2011), Metodyka systematycznego przeglądu literatury, „Przegląd Organizacji”, No. 3, pp. 57 – 61.
  • 4. de la Maza-y-Aramburu X., Vendrell-Herrero F., Wilson J.R. (2012) Where is the value of cluster associations for SMEs?, “Intangible Capital”, Vol. 8, no. 2, pp. 472-496.
  • 5. European Comission, (2016), Regional Innovation Scoreboard 2016, ec.europa.eu/DocsRoom/ documents/17824/attachments/1/translations/en/renditions/pdf (18.09.2017 - access date).
  • 6. European Comission (2013), Innovation Union Scoreboard 2013, http://www.eurosfaire.prd.fr /7pc/doc/1364552692_union_scoreboard_2013_en.pdf (18.09.2017- access date).
  • 7. Freeman C., Soete, L. (1997), The Economics of Industrial Innovation. Pinter, London.
  • 8. Hagedoorn J., Cloodt M. (2003), Measuring innovative performance: Is there an advantage in using multiple indicators? “Research Policy”, Vol. 32, no. 8, pp. 1365–1378.
  • 9. Han, Y., Liao, J.Q., Long, L.R. (2007), Model of development and empirical study on employee job performance construct, “Journal of Management Sciences in China”, Vol. 10, pp. 62-77.
  • 10. Harhoff, D., F. Narin, F. M. Scherer, and K. Vopel (1999), Citation frequency and the value of patented inventions. “Review of Economics and Statistics” Vol. 81, no. 3, pp. 511–515.
  • 11. Hsu, Ch.-W., Lien, Y-Ch., Chen, H., (2015), R&D internationalization and innovation performance, “International Business Review” Vol. 24 (2015), pp. 187–195, Doi:10.1016/j.ibusrev.2014.07.007.
  • 12. http://www.bankier.pl/wiadomosc/10-najwazniejszych-faktow-natemat-polskiego-rynku-IT-7276863.html (18.09.2017 - access date).
  • 13. Huang, Y.-F., Chen, Ch.-J., (2010), The impact of technological diversity and organizational slack on innovation, “Technovation” Vol. 30 (2010), pp. 420–428.
  • 14. Huňady, J., Orviská, M., (2014), The impact of research and development expenditures on innovation performance and economic growth of the country - the empirical evidence, “Cbu International Conference on Innovation, Technology Transfer and Education”, Doi:10.12955/cbup.v2.454.
  • 15. Jin, X., Wang, J., Chen, S., Wang, T., (2015), A study of the relationship between the knowledge base and the innovation performance under the organizational slack regulating, “Management Decision” Vol. 53, No. 10, pp. 2202-2225, Doi:10.1108/MD-05-2014-0253.
  • 16. Laursen, K., Salter, A., (2006), The Role of Openness in Explaining Innovation Performance among U.K. Manufacturing Firms, “ Strategic Management Journal” Vol. 27, no. 2, pp. 131-150, Doi: 10.1002/smj.507.
  • 17. MingJi, J., Ping, Z., (2014), Research on the Patent Innovation Performance of University–Industry Collaboration Based on Complex Network Analysis, “Journal of Business-to-Business Marketing” Vol. 21, pp. 65–83, Doi:10.1080/1051712X.2014.903454.
  • 18. New Product Visions, Measuring New Product Development (NPD) Success, http://newproductvisions.com /blog/?p=226 (18.08.2017 - access date).
  • 19. OECD’s Oslo Manual (OECD-EUROSTAT, 1997).
  • 20. OECD’s Oslo Manual (OECD-EUROSTAT, 2005).
  • 21. Patel P, Pavitt K.L.R. (1997). The technological competencies of the world’s largest firms: complex and path dependent, but not much variety. “Research Policy” Vol. 26, pp. 141-156.
  • 22. Rodan, S., Galunic, Ch. (2004), More than Network Structure: How Knowledge Heterogeneity Influences Managerial Performance and Innovativeness, “ Strategic Management Journal” Vol. 25, no. 6, pp. 541-562, Doi: 10.1002/smj.398.
  • 23. Romijn H., Albaladejo M., (2002), Determinants of innovation capability in small electronics and software firms in southeast England, “Research Policy”, Vol. 31, pp. 1053-1057, DOI: 10.1016/S0048-7333(01)00176-7.
  • 24. Scott, S.G. and Bruce, R.A. (1994), Determinants of innovative behavior: a path model of individual innovation in the workplace, “Academy of Management Journal”, Vol. 37, no. 3, pp. 580-607.
  • 25. Shih, H.-A., Susanto, E. (2010), Conflict management styles, emotional intelligence, and job performance in public organizations, “International Journal of Conflict Management”, Vol. 21, no. 2, pp. 147-168.
  • 26. Singh, D., Khamba, J.S., Nanda, T. (2017), Influence of technological innovation on performance of small manufacturing companies, “International Journal of Productivity and Performance Management” Vol. 66 iss. 7, pp. 838-856, Doi:10.1108/IJPPM-02-2016-0035.
  • 27. Teece D.J. (1986). Profiting from technological innovation: implications for integration collaboration, licensing and public policy. Research Policy Vol. 15, pp. 285-305.
  • 28. Tseng, Ch., Tseng, Ch.-Ch. (2016), Strategy for increasing innovation at post-ipo firms, “International Journal of Entrepreneurship” Vol. 20, iss.1, pp. 84-99.
  • 29. Tseng, Ch.-Y., Chang Pai, D., Hung, Ch.-H. (2011), Knowledge absorptive capacity and innovation performance in KIBS, “Journal of Knowledge Management” Vol. 15, no. 6, pp. 971-983, Doi:10.1108/13673271111179316.
  • 30. Wang, X., Ma, L., Wang, Y., (2015), The impact of TMT functional background on firm performance: Evidence from listed companies in China’s IT industry, “Nankai Business Review International”, Vol. 6, Iss. 3, pp. 281-311, Doi:10.1108/NBRI-11-2013-0040.
  • 31. Wang, Y.-L., Ellinger, A.D. (2011), Organizational learning: Perception of external environment and innovation performance, “International Journal of Manpower” Vol. 32, no. 5/6, pp. 512-536, Doi:10.1108/01437721111158189.
  • 32. Wang, Y.-L., Ellinger, A. D., Jim Wu, Y.-Ch. (2013), Entrepreneurial opportunity recognition: an empirical study of R&D personnel, “Management Decision” Vol. 51 no. 2, pp. 248-266, Doi:10.1108/00251741311301803.
  • 33. Wu, H., Chen, J., Jiao, H. (2016), Dynamic capabilities as a mediator linking international diversification and innovation performance of firms in an emerging economy, “Journal of Business Research” Vol. 69 (2016), pp. 2678–2686.
  • 34. Xie, X., Wu, Y., Zeng, S. (2016), A theory of multi-dimensional organizational innovation cultures and innovation performance in transitional economies: The role of team cohesion, “Chinese Management Studies” Vol. 10, iss.: 3, pp.458-479, Doi:10.1108/CMS-01-2016-0023.
  • 35. Xu, G., Liu, X., Zhou, Y., Su, J. (2012), Effects of relational embeddedness on technological innovation: An empirical study in China, “Chinese Management Studies” Vol. 6, iss. 1, pp. 108-123, Doi:10.1108/17506141211213816.
  • 36. Zeng, S.X., Xie, X.M., Tam, C.M. (2010), Relationship between cooperation networks and innovation performance of SMEs, “Technovation” Vol. 30, pp. 181–194.
  • 37. Zhang, S.J., Chen, Y. Q., Sun, H. (2015), Emotional intelligence, conflict management styles, and innovation performance: An empirical study of Chinese employees, “International Journal of Conflict Management” Vol. 26, iss. 4, pp. 450-478, Doi:10.1108/IJCMA-06-2014-0039.
  • 38. Zheng, S., Li, H., Wu. (2013), Network resources and the innovation performance: Evidence from Chinese manufacturing firms, “Management Decision” Vol. 51, iss. 6, pp.1207-1224, Doi:10.1108/MD-02-2012-0102.
Uwagi
PL
Różna numeracja stron w wersji drukowanej i elektronicznej czasopisma.
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-aca73bcf-8736-4a54-9c8c-9657e1fa6350
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