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RETRACTED ARTICLE: Tracing Knowledge Flows in Innovation Systems—an Informetric Perspective on Future Research Science-based Innovation

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  • Martin Meyer

Abstract

We, the Editors and Publisher of Economic Systems Research, have retracted the following article:Martin Meyer, ‘Tracing Knowledge Flows in Innovation Systems—an Informetric Perspective on Future Research Science-based Innovation’, Economic Systems research, 14(4), 2002, Pages 323–344, doi:10.1080/0953531022000024824 This retraction, made in August 2020, is at the request of the author due to significant overlap with the following article:Martin Meyer, ‘Tracing knowledge flows in innovation systems’, Scientometrics, 54 (2), 2002, Pages 193–212, doi:10.1023/A:1016057727209.We note the breach of warranties made by the author with respect to originality, and of our policy on publishing ethics and integrity. We note we received, peer-reviewed, accepted, and published the article in good faith based on these warranties, and censure this action. We have been informed in our decision-making by our policy on publishing ethics and integrity and the COPE guidelines on retractions.The retracted article will remain online to maintain the scholarly record, but it will be digitally watermarked on each page as “Retracted”.

Suggested Citation

  • Martin Meyer, 2002. "RETRACTED ARTICLE: Tracing Knowledge Flows in Innovation Systems—an Informetric Perspective on Future Research Science-based Innovation," Economic Systems Research, Taylor & Francis Journals, vol. 14(4), pages 323-344, December.
    • Handle: RePEc:taf:ecsysr:v:14:y:2002:i:4:p:323-344
    DOI: 10.1080/0953531022000024824
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    Citations

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    Cited by:

    1. Martin Meyer & Tatiana Siniläinen & Jan Timm Utecht, 2003. "Towards hybrid Triple Helix indicators: A study of university-related patents and a survey of academic inventors," Scientometrics, Springer;Akadémiai Kiadó, vol. 58(2), pages 321-350, October.
    2. Mohohlo Molatudi & Neo Molotja & Anastassios Pouris, 2009. "A bibliometric study of bioinformatics research in South Africa," Scientometrics, Springer;Akadémiai Kiadó, vol. 81(1), pages 47-59, October.
    3. Iman Miremadi & Yadollah Saboohi, 2018. "Planning for Investment in Energy Innovation: Developing an Analytical Tool to Explore the Impact of Knowledge Flow," International Journal of Energy Economics and Policy, Econjournals, vol. 8(2), pages 7-19.
    4. Wang, Ming-Yeu & Fang, Shih-Chieh & Chang, Yu-Hsuan, 2015. "Exploring technological opportunities by mining the gaps between science and technology: Microalgal biofuels," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 182-195.
    5. Saeed-Ul Hassan & Iqra Safder & Anam Akram & Faisal Kamiran, 2018. "A novel machine-learning approach to measuring scientific knowledge flows using citation context analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(2), pages 973-996, August.
    6. Shen, Yung-Chi & Wang, Ming-Yeu & Yang, Ya-Chu, 2020. "Discovering the potential opportunities of scientific advancement and technological innovation: A case study of smart health monitoring technology," Technological Forecasting and Social Change, Elsevier, vol. 160(C).

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