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RFID within High-Tech Clusters – Towards a Knowledge-Based Economy

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  • Bembenek Boguslaw

    (Rzeszow University of Technology)

Abstract

- The concept of knowledge-based economy (KBE) in this article constitutes the basis for the undertaken considerations regarding the implementation of Radio Frequency Identification (RFID) technology in the development process of high-tech clusters. It has been indicated in the article that this type of economy is characterised by quick development, particularly, of these disciplines which are related to information processing and science development, mainly the high-tech industry, including the technologies and services of an information society. It has been emphasised that in these market conditions the key sources of competitive advantage of business entities comprise, inter alia, the efficiency of knowledge management as well as various knowledge-intensive undertakings, which create newer and newer value for key stakeholders. The main subject of this paper is to analyse the development and application of RFID within the high-tech cluster. Firstly, the paper aims to present a literature review on the strategic importance of RFID technology for firms located in high-tech clusters through tracing a broad range of literature. Secondly, it constitutes an attempt to characterise the factors determining the decision to implement this technology, by focusing on the research results.

Suggested Citation

  • Bembenek Boguslaw, 2016. "RFID within High-Tech Clusters – Towards a Knowledge-Based Economy," Economics and Business, Sciendo, vol. 28(1), pages 52-60, April.
    • Handle: RePEc:vrs:ecobus:v:28:y:2016:i:1:p:52-60:n:8
    DOI: 10.1515/eb-2016-0008
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    References listed on IDEAS

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    2. Frederic Rychen & Jean-Benoit Zimmermann, 2008. "Clusters in the Global Knowledge-based Economy: Knowledge Gatekeepers and Temporary Proximity," Regional Studies, Taylor & Francis Journals, vol. 42(6), pages 767-776.
    3. Bo Carlsson, 2013. "Knowledge Flows in High-Tech Industry Clusters: Dissemination Mechanisms and Innovation Regimes," Economic Complexity and Evolution, in: Andreas Pyka & Esben Sloth Andersen (ed.), Long Term Economic Development, edition 127, pages 191-221, Springer.
    4. Madalina Cristina Tocan, 2012. "Knowledge Based Economy Assessment," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 2(5), pages 1-13, October.
    5. Andreas Pyka & Esben Sloth Andersen (ed.), 2013. "Long Term Economic Development," Economic Complexity and Evolution, Springer, edition 127, number 978-3-642-35125-9, May.
    6. Bresnahan,Timothy & Gambardella,Alfonso (ed.), 2004. "Building High-Tech Clusters," Cambridge Books, Cambridge University Press, number 9780521827225, October.
    7. Min-Ren Yan & Kuo-Ming Chien, 2013. "Evaluating the Economic Performance of High-Technology Industry and Energy Efficiency: A Case Study of Science Parks in Taiwan," Energies, MDPI, vol. 6(2), pages 1-15, February.
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