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Using Data Envelope Analysis for measurement of entrepreneurial network performance in manufacturing firms

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Języki publikacji
PL
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EN
The aim of the paper is the analysis of the possibilities of measurement of entrepreneurial network performance in manufacturing firms, using Data Envelope Analysis (DEA) method - a non-parametric approach, allowing for the assessment of the effectiveness of the entrepreneur's social networks in the context of generating information effects. The research uses data obtained from 30 randomly selected Polish enterprises to explore the levels of entrepreneurial networks and their information effects (as performance indicator). The research limitations are the following: the research is limited exclusively to Polish randomly selected entities, and the results cannot be generalized. The originality/value of this paper consists in the fact that this study constitutes both the contribution to the development of the discipline of management and practical guidelines for managers-entrepreneurs since it should be pinpointed that the recognition of the efficiency of gathering information from social networks can be the basis for the conscious creation of the effectiveness of acquiring information from social networks, and thus the conscious use of social networks in economic activity. The novelty of the results presented consists in filling the gap while conducting the research taking into account the assessment of entrepreneurial networks performance using DEA method.
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271--278
Opis fizyczny
Bibliogr. 43 poz., tab.
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autor
  • Częstochowa University of Technology, Dąbrowskiego 69, 42-200 Częstochowa, Poland
Bibliografia
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  • 17. Halkos, G. E., Salamouris, D. S., 2004. Efficiency measurement of the Greek commercial banks with the use of financial ratios: a data envelopment analysis approach. Management accounting research, 15(2), 201-224. DOI: 10.1016/j.mar.2004.02.001
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  • 19. Jemric, I., Vujcic, B., 2002. Efficiency of banks in Croatia: A DEA approach.
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  • 22. Kozuń-Cieślak, G., 2011. Wykorzystanie metody DEA do oceny efektywności w usługach sektora publicznego. Wiadomości Statystyczne, 56(3), 14-42.
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  • 26. Kuzior, A., Sira, M., Brożek, P., 2023. Use of Artificial Intelligence in Terms of Open Innovation Process and Management. Sustainability, 15(9), 7205 DOI: 10.3390/su15097205
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  • 28. Lee, H., Kim, C., 2012. A DEA-SERVQUAL approach to measurement and benchmarking of service quality. Procedia-Social and Behavioral Sciences, 40, 756-762 doi: 10.1016/j.sbspro.2012.03.262
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  • 30. Marjanović, I., Stanković, J. J., Popović, Ž., 2018. Efficiency estimation of commercial banks based on financial performance: Input oriented DEA CRS/VRS models. Economic Themes, 56(2), 239-252 DOI:10.2478/ ethemes-2018-0014
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  • 37. Schott T., 2010. Education, Training and Networking for Entrepreneurship in Denmark 2010, Syddansk Universitet, Esbjerg.
  • 38. Solymossy E., 2000. Knowledge networks: differences and performance effects, Journal of Business Strategy, 11(1), 14-25.
  • 39. Tomski P., 2016. Sieć społeczna przedsiębiorcy w teorii i praktyce zarządzania małą firmą, Wydawnictwo Wydziału Zarządzania Politechniki Częstochowskiej, Częstochowa.
  • 40. Witt P., Schroeter A., Merz C., 2008. Entrepreneurial resource acquisition via personal networks: An empirical study of German start-ups. “The Service Industries Journal” 28. 953–971 DOI: 10.1080/02642060701846846
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  • 42. Zali M.R, Schott T., Kordnaeij A., Najafian M., 2012. Entrepreneur's networks affecting innovation: Firms in Iran and Denmark, African Journal of Business Management, 6(17), 5737-5743 DOI: 10.5897/AJBM11.1795
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Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-79aa32ff-5b35-4cbd-ab30-57cd72b098af
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