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Cross-Competitor Analysis: Case Study for RFID Patent Mining
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Cross-Competitor Analysis: Case Study for RFID Patent Mining

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Cross-Competitor Analysis: Case Study for RFID Patent Mining Cross-Competitor Analysis: Case Study for RFID Patent Mining Presentation Transcript

  • Cross-Competitor Analysis: Case Study for RFID Patent Mining 1Q. 2009
  • 1. Introduction to Cross-Competitor Analysis
    • According to Dr. Benjamin Gilad at the Academy of Competitive Intelligence, the
    • goal of the cross-competitor analysis is to enable you to simplify predictions of
    • competitors’ moves and countermoves when multiple competitors are involved.
    • Through the cross-competitor analysis, we can understand that:
    • Competitors’ behavior when there are several significant competitors.
    • Paradigm shifts in industries undergoing rapid change or transition.
    • Entry of new competitors into the competitive landscape.
    • Future directions in strategic move among industry contenders.
  • 2. Strategic Map
    • According to Dr. Benjamin Gilad at the Academy of Competitive Intelligence, the
    • strategic map is a tool used in the cross-competitor analysis for visualizing
    • the competitive landscape:
    • A chart for a strategic parameter No.1 (e.g. product/service portfolio, distribution channel etc.) vs. a strategic parameter No.2 (e.g. product/service price, quality, brand etc.).
    • The map is static (for dynamics, we can use arrows).
  • 3. RFID Patent Mining Process
    • Step 1. Getting Patent Data:
    • Patent Data Base Used in the Research: USPTO PAIR, WIPSGlobal, and Delphion
    • Searching Method: keyword search for RFID and its variations such as IC tag, RF card, and RF label etc.
    • Field of Search: front page (title, abstract, references etc.) and the first independent claim of a patent issued before January, 1, 2009
    • Step 2. Cleaning: review the keyword searched patent data for excluding design patents and patents whose subject field is not directly related with RFID (e.g. CallerID)
    • The number of patents reduces to 2559 from 3703 initially keyword searched patents in this step.
    • Step 3. Statistical analysis: analyze the bibliographical information
    • Step 4. Customized technology classifications: classification by RFID expert
    • Step 5. Analytical analysis: quantitative and qualitative analysis for patent data categorized by the customized classifications
  • 4. Strategic Parameters for RFID Strategic Map
    • Activity Index (AI) is a measure of a company’s innovation activities in a specific technology field:
    • AI = share of a specific sub-class in a company/share of a company’s patent in total patents, where
    • share of a specific sub-class in a company = patents(sub
    • class)/patents(company)
    • company/share of a company’s patent in total patents = patents(company)/patents(total)
    • Product Portfolio: Tag, Reader, Sub-system, Application
    • For further analysis, we can classify each product into a sub-product portfolio:
    • e.g. Reader: IC/Module, Protocol SW, Antenna/RF, Design/Platform,
    • Control/Operation.
  • 5. Strategic Map for RFID Strategic Map Fig. 5.1 shows the AI vs. Product Portfolio strategic map for the top 6 RFID IPR contenders. The size of the circle represents the total number of the issued patents for each product. Key interpretation: as for the tag, the map show a intensive technology innovation competition among contenders except IBM as for the application, IBM is the leader in technology innovation
  • Fig 5.1 AI vs. Product Portfolio strategic map for RFID
  • 5. Strategic Map for RFID Strategic Map -2 Fig. 5.2 shows the AI vs. Reader Product Portfolio strategic map for the top 4 RFID IPR contenders. The size of the circle represents the total number of the issued patents for each product. Key interpretation: Micron Technology shows a competitive advantage in reader protocol SW Motorola shows a competitive advantage in reader design/platform and reader control/operation
  • Fig 5.2 AI vs. Reader Portfolio strategic map for RFID
  • Thank you!
    • If you have any questions
    • please contact
    • Dr. Alex G. Lee
    • at alexglee@techipm.com