Araştırma Makalesi

KNOWLEDGE POTENTIAL: MAIN AGGREGATED ASSESSMENT PRINCIPLES

Cilt: 8 Sayı: 1 1 Haziran 2013
  • Antanas Buracas – Vytas Navıckas
  • Antanas Buracas
  • Algis Zvırblıs
  • Vytas Navickas
  • Algis Zvirblis
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KNOWLEDGE POTENTIAL: MAIN AGGREGATED ASSESSMENT PRINCIPLES

Öz

The growth of economic competitiveness as well as effective use of knowledge potential (KP) is of foremost importance for sustainable development of the newly EU countries. Though scientists have studied the country‘s KP assessing components, a single quantitative potential assessment technique has not been accepted. The authors of the performed study provided a theoretical framework and empirical viewing for the complex evaluation of the KP determinants based on multiple criteria assessment methodology. The essence of the principal approach lies in quantitative measure of KP level, i.e. determination of general relative level index. The formulated main multiple criteria evaluation principles are focused on the formalization of an investigated system describing knowledge components independencies with adequate composite determinants and primary indicators, i.e. background evaluation models. Thus, the direct and indirect influence of primary criteria is taken into account; application of different significances of determinants is provided. The proposed technique is oriented towards incorporation into multicriteria decision making system and may be used for the reasoning of strategic decisions in the KP development. When applying the Simple Additive Weighting \method, which is especially applicable for the aggregate evaluation of substantially different criteria having both quantitative and qualitative expression, the general KP level index has been established. The idiosyncratic components revealed with account of preliminary situation analysis in newly EU countries and classification of international institutions are as follows: innovative capacity, use of information technologies and quality of primary & secondary education. Those components may be described by adequate primary indicator system formulated in the study. The proposed methodology was approbated by evaluation of the KP level in Lithuania and by forecasting its prospective situation.

Anahtar Kelimeler

Kaynakça

  1. Berger, F. (2012). Measuring the KE – Intangible Spending and Investment in Germany. Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), 232(1): 12-30.
  2. Buligescu B., Hollanders H. (Maastricht Economic and Social Research Institute on Innovation and Technology). Presentations in: Proceedings of the technical Workshop on EPSIS–10 May 2012. Retrieved from: http://ec.europa.eu/enterprise/policies/ innovation/ files/epsis/workshop-presentation - preliminary- results_en.pdf.
  3. Brannstrom, D; Catasus, B.; Giuliani, M.; Grojer, J.E. (2009). Construction of intellectual capital – the case of purchase analysis. Journal of Human Resource Costing and Accounting, 13: 61-76.
  4. Buracas, A. (2007). The Competitiveness of the EU in the context of the intellectual capital development. Intellectual Economics, 1(1):19–28.
  5. Burinskiene, M.; Rudzkiene, V. (2009). Future insights, scenarios and expert method application in sustainable territorial planning. Technological and Economic Development of Economy, 15 (1): 10-25.
  6. Challenges and Opportunities for a European Strategy in Support of Innovation in Services. Fostering New Markets and Jobs through Innovation (2009). The European Union, Luxembourg. Retrieved from: http://ec.europa.eu/enterprise/policies/innovation/files/ swd_services_en.pdf>
  7. Chan, P. Ch.; Lee, W. B. (2011). Knowledge Audit with Intellectual Capital in the Quality Management Process: An Empirical Study in Electronics Company. The Electronic Journal of Knowledge Management, 9(2): 98 – 116.
  8. Chu, M. T., Shyu, J., Tzeng, G. H.; Khosla, R. (2007). Comparison among three analytical methods for knowledge communities group-decision analysis. Expert systems with applications, 33(4), 1011-1024.

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

Araştırma Makalesi

Yazarlar

Antanas Buracas – Vytas Navıckas Bu kişi benim

Antanas Buracas Bu kişi benim

Algis Zvırblıs Bu kişi benim

Vytas Navickas Bu kişi benim

Algis Zvirblis Bu kişi benim

Yayımlanma Tarihi

1 Haziran 2013

Gönderilme Tarihi

15 Şubat 2015

Kabul Tarihi

-

Yayımlandığı Sayı

Yıl 2013 Cilt: 8 Sayı: 1

Kaynak Göster

APA
Navıckas, A. B. – V., Buracas, A., Zvırblıs, A., Navickas, V., & Zvirblis, A. (2013). KNOWLEDGE POTENTIAL: MAIN AGGREGATED ASSESSMENT PRINCIPLES. Bilgi Ekonomisi ve Yönetimi Dergisi, 8(1), 63-86. https://izlik.org/JA25YK92UY
AMA
1.Navıckas AB – V, Buracas A, Zvırblıs A, Navickas V, Zvirblis A. KNOWLEDGE POTENTIAL: MAIN AGGREGATED ASSESSMENT PRINCIPLES. BEYDER. 2013;8(1):63-86. https://izlik.org/JA25YK92UY
Chicago
Navıckas, Antanas Buracas – Vytas, Antanas Buracas, Algis Zvırblıs, Vytas Navickas, ve Algis Zvirblis. 2013. “KNOWLEDGE POTENTIAL: MAIN AGGREGATED ASSESSMENT PRINCIPLES”. Bilgi Ekonomisi ve Yönetimi Dergisi 8 (1): 63-86. https://izlik.org/JA25YK92UY.
EndNote
Navıckas AB – V, Buracas A, Zvırblıs A, Navickas V, Zvirblis A (01 Haziran 2013) KNOWLEDGE POTENTIAL: MAIN AGGREGATED ASSESSMENT PRINCIPLES. Bilgi Ekonomisi ve Yönetimi Dergisi 8 1 63–86.
IEEE
[1]A. B. – V. Navıckas, A. Buracas, A. Zvırblıs, V. Navickas, ve A. Zvirblis, “KNOWLEDGE POTENTIAL: MAIN AGGREGATED ASSESSMENT PRINCIPLES”, BEYDER, c. 8, sy 1, ss. 63–86, Haz. 2013, [çevrimiçi]. Erişim adresi: https://izlik.org/JA25YK92UY
ISNAD
Navıckas, Antanas Buracas – Vytas - Buracas, Antanas - Zvırblıs, Algis - Navickas, Vytas - Zvirblis, Algis. “KNOWLEDGE POTENTIAL: MAIN AGGREGATED ASSESSMENT PRINCIPLES”. Bilgi Ekonomisi ve Yönetimi Dergisi 8/1 (01 Haziran 2013): 63-86. https://izlik.org/JA25YK92UY.
JAMA
1.Navıckas AB – V, Buracas A, Zvırblıs A, Navickas V, Zvirblis A. KNOWLEDGE POTENTIAL: MAIN AGGREGATED ASSESSMENT PRINCIPLES. BEYDER. 2013;8:63–86.
MLA
Navıckas, Antanas Buracas – Vytas, vd. “KNOWLEDGE POTENTIAL: MAIN AGGREGATED ASSESSMENT PRINCIPLES”. Bilgi Ekonomisi ve Yönetimi Dergisi, c. 8, sy 1, Haziran 2013, ss. 63-86, https://izlik.org/JA25YK92UY.
Vancouver
1.Antanas Buracas – Vytas Navıckas, Antanas Buracas, Algis Zvırblıs, Vytas Navickas, Algis Zvirblis. KNOWLEDGE POTENTIAL: MAIN AGGREGATED ASSESSMENT PRINCIPLES. BEYDER [Internet]. 01 Haziran 2013;8(1):63-86. Erişim adresi: https://izlik.org/JA25YK92UY