IDEAS home Printed from https://ideas.repec.org/p/zbw/cauman/264.html
   My bibliography  Save this paper

Instruments for patent data analyses in business firms

Author

Listed:
  • Brockhoff, Klaus K.

Abstract

The availability of patent data in data banks has largely increased the possibilities for patent analyses. In this paper we discuss overall measures of patent activity for individual firms. As the data are broken down by technology fields we introduce patent portfolios that represent the patent position of a firm relative to its competitors over all technology fields covered. We then use matrix algebra to suggest an alternative to standard procedures of importance weightings for patents, and we extent the analysis to show the relations between inventors and end-products via patents that are used in the end-products. This may have many applications, from inventor remuneration to human resource management. The paper concludes with suggestions for further research.

Suggested Citation

  • Brockhoff, Klaus K., 1991. "Instruments for patent data analyses in business firms," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 264, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    • Handle: RePEc:zbw:cauman:264
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/161398/1/manuskript_264.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Bosworth, Derek L, 1973. "Changes in the Quality of Inventive Output and Patent Based Indices of Technological Change," Bulletin of Economic Research, Wiley Blackwell, vol. 25(2), pages 95-103, November.
    2. Campbell, Richard S., 1983. "Patent trends as a technological forecasting tool," World Patent Information, Elsevier, vol. 5(3), pages 137-143.
    3. Hans H. Glismann & Ernst-Jürgen Horn, 1988. "Comparative Invention Performance of Major Industrial Countries: Patterns and Explanations," Management Science, INFORMS, vol. 34(10), pages 1169-1187, October.
    4. Carpenter, Mark P. & Narin, Francis & Woolf, Patricia, 1981. "Citation rates to technologically important patents," World Patent Information, Elsevier, vol. 3(4), pages 160-163, October.
    5. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    6. Wilson, R.M., 1987. "Patent analysis using online databases -- II. Competitor activity monitoring," World Patent Information, Elsevier, vol. 9(2), pages 73-78.
    7. Wilson, R.M., 1987. "Patent analysis using online databases--I. Technological trend analysis," World Patent Information, Elsevier, vol. 9(1), pages 18-26.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    2. Haupt, Reinhard & Kloyer, Martin & Lange, Marcus, 2007. "Patent indicators for the technology life cycle development," Research Policy, Elsevier, vol. 36(3), pages 387-398, April.
    3. Ernst, Holger, 1998. "Evaluation of dynamic technological developments by means of patent data," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 485, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    4. Jungpyo Lee & So Young Sohn, 2017. "What makes the first forward citation of a patent occur earlier?," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(1), pages 279-298, October.
    5. Banai, Reza, 2010. "Evaluation of land use-transportation systems with the Analytic Network Process," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 3(1), pages 85-112.
    6. Pishchulov, Grigory & Trautrims, Alexander & Chesney, Thomas & Gold, Stefan & Schwab, Leila, 2019. "The Voting Analytic Hierarchy Process revisited: A revised method with application to sustainable supplier selection," International Journal of Production Economics, Elsevier, vol. 211(C), pages 166-179.
    7. Seung-Jin Han & Won-Jae Lee & So-Hee Kim & Sang-Hoon Yoon & Hyunwoong Pyun, 2022. "Assessing Expected Long-term Benefits for the Olympic Games: Delphi-AHP Approach from Korean Olympic Experts," SAGE Open, , vol. 12(4), pages 21582440221, December.
    8. Seyed Rakhshan & Ali Kamyad & Sohrab Effati, 2015. "Ranking decision-making units by using combination of analytical hierarchical process method and Tchebycheff model in data envelopment analysis," Annals of Operations Research, Springer, vol. 226(1), pages 505-525, March.
    9. V. Srinivasan & G. Shainesh & Anand K. Sharma, 2015. "An approach to prioritize customer-based, cost-effective service enhancements," The Service Industries Journal, Taylor & Francis Journals, vol. 35(14), pages 747-762, October.
    10. Mónica García-Melón & Blanca Pérez-Gladish & Tomás Gómez-Navarro & Paz Mendez-Rodriguez, 2016. "Assessing mutual funds’ corporate social responsibility: a multistakeholder-AHP based methodology," Annals of Operations Research, Springer, vol. 244(2), pages 475-503, September.
    11. Fontana, Roberto & Nuvolari, Alessandro & Shimizu, Hiroshi & Vezzulli, Andrea, 2013. "Reassessing patent propensity: Evidence from a dataset of R&D awards, 1977–2004," Research Policy, Elsevier, vol. 42(10), pages 1780-1792.
    12. Luis Pérez-Domínguez & Luis Alberto Rodríguez-Picón & Alejandro Alvarado-Iniesta & David Luviano Cruz & Zeshui Xu, 2018. "MOORA under Pythagorean Fuzzy Set for Multiple Criteria Decision Making," Complexity, Hindawi, vol. 2018, pages 1-10, April.
    13. Paul L. G. Vlek & Asia Khamzina & Hossein Azadi & Anik Bhaduri & Luna Bharati & Ademola Braimoh & Christopher Martius & Terry Sunderland & Fatemeh Taheri, 2017. "Trade-Offs in Multi-Purpose Land Use under Land Degradation," Sustainability, MDPI, vol. 9(12), pages 1-19, November.
    14. Kumar B, Pradeep, 2021. "Changing Objectives of Firms and Managerial Preferences: A Review of Models in Microeconomics," MPRA Paper 106967, University Library of Munich, Germany, revised 13 Mar 2021.
    15. Greco, Salvatore & Ishizaka, Alessio & Tasiou, Menelaos & Torrisi, Gianpiero, 2018. "σ-µ efficiency analysis: A new methodology for evaluating units through composite indices," MPRA Paper 83569, University Library of Munich, Germany.
    16. Anirban Mukhopadhyay & Sugata Hazra & Debasish Mitra & C. Hutton & Abhra Chanda & Sandip Mukherjee, 2016. "Characterizing the multi-risk with respect to plausible natural hazards in the Balasore coast, Odisha, India: a multi-criteria analysis (MCA) appraisal," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 80(3), pages 1495-1513, February.
    17. Chamoli, Sunil, 2015. "Hybrid FAHP (fuzzy analytical hierarchy process)-FTOPSIS (fuzzy technique for order preference by similarity of an ideal solution) approach for performance evaluation of the V down perforated baffle r," Energy, Elsevier, vol. 84(C), pages 432-442.
    18. H. S. C. Perera & W. K. R. Costa, 2008. "Analytic Hierarchy Process for Selection of Erp Software for Manufacturing Companies," Vision, , vol. 12(4), pages 1-11, October.
    19. G. La Scalia & F.P. Marra & J. Rühl & R. Sciortino & T. Caruso, 2016. "A fuzzy multi-criteria decision-making methodology to optimise olive agro-engineering processes based on geo-spatial technologies," International Journal of Management and Decision Making, Inderscience Enterprises Ltd, vol. 15(1), pages 1-15.
    20. Andersen, Steffen & Harrison, Glenn W. & Lau, Morten Igel & Rutström, Elisabet E., 2014. "Dual criteria decisions," Journal of Economic Psychology, Elsevier, vol. 41(C), pages 101-113.
      • Andersen, Steffen & Harrison, Glenn W. & Lau, Morten Igel & Rutström, Elisabet, 2009. "Dual Criteria Decisions," Working Papers 02-2009, Copenhagen Business School, Department of Economics.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:cauman:264. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/ibkiede.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.