IDEAS home Printed from https://ideas.repec.org/a/spr/gjofsm/v24y2023i2d10.1007_s40171-022-00330-z.html
   My bibliography  Save this article

Novelty Score and Technological Relatedness Measurement Using Patent Information in Mergers and Acquisitions: Case Study in the Japanese Electric Motor Industry

Author

Listed:
  • Katsuyuki Kaneko

    (Tokyo Institute of Technology)

  • Yuya Kajikawa

    (Tokyo Institute of Technology)

Abstract

Technological mergers and acquisitions (M&A) have been major strategic options for firm growth. However, it is not a rudimentary task to build a long list of target firms among a vast number of candidates. Technological relatedness measurement based on patent information is expected to support such a task. Although different measurement indicators have been proposed, there is still room to explore their functionality in regards to M&A. Therefore, we aim to quantify the technological relatedness between acquirers and acquired firms by investigating the cases in the Japanese electric motor industry. Our results showed that the common-IPC mode can efficiently eliminate the effects of irrelevant elements and effectively focus on the novelty level of the technologies in M&A. The measure is expected to help extract potential acquired firms for acquiring firms, construct exit strategies for startups, and monitor the dynamic capability of the focal firm.

Suggested Citation

  • Katsuyuki Kaneko & Yuya Kajikawa, 2023. "Novelty Score and Technological Relatedness Measurement Using Patent Information in Mergers and Acquisitions: Case Study in the Japanese Electric Motor Industry," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(2), pages 163-177, June.
    • Handle: RePEc:spr:gjofsm:v:24:y:2023:i:2:d:10.1007_s40171-022-00330-z
    DOI: 10.1007/s40171-022-00330-z
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s40171-022-00330-z
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s40171-022-00330-z?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Luigi Aldieri & Maxim Kotsemir & Concetto Paolo Vinci, 2020. "The role of environmental innovation through the technological proximity in the implementation of the sustainable development," Business Strategy and the Environment, Wiley Blackwell, vol. 29(2), pages 493-502, February.
    2. Frederic Gaschet & Mathieu Becue & Vanessa Bouaroudj & Marina Flamand & André Meunie & Guillaume Pouyanne & Damien Talbot, 2017. "Related variety and the dynamics of European photonic clusters," European Planning Studies, Taylor & Francis Journals, vol. 25(8), pages 1292-1315, August.
    3. Martha A. Schary, 1991. "The Probability of Exit," RAND Journal of Economics, The RAND Corporation, vol. 22(3), pages 339-353, Autumn.
    4. Benner, Mary & Waldfogel, Joel, 2008. "Close to you? Bias and precision in patent-based measures of technological proximity," Research Policy, Elsevier, vol. 37(9), pages 1556-1567, October.
    5. McNamee, Robert C., 2013. "Can’t see the forest for the leaves: Similarity and distance measures for hierarchical taxonomies with a patent classification example," Research Policy, Elsevier, vol. 42(4), pages 855-873.
    6. Luigi Aldieri & Michele Cincera, 2009. "Geographic and technological R&D spillovers within the triad: micro evidence from US patents," The Journal of Technology Transfer, Springer, vol. 34(2), pages 196-211, April.
    7. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    8. Nicholas Bloom & Mark Schankerman & John Van Reenen, 2013. "Identifying Technology Spillovers and Product Market Rivalry," Econometrica, Econometric Society, vol. 81(4), pages 1347-1393, July.
    9. Nooteboom, Bart & Van Haverbeke, Wim & Duysters, Geert & Gilsing, Victor & van den Oord, Ad, 2007. "Optimal cognitive distance and absorptive capacity," Research Policy, Elsevier, vol. 36(7), pages 1016-1034, September.
    10. Ornaghi, Carmine, 2009. "Mergers and innovation in big pharma," International Journal of Industrial Organization, Elsevier, vol. 27(1), pages 70-79, January.
    11. Olsson, Ola & Frey, Bruno S, 2002. "Entrepreneurship as Recombinant Growth," Small Business Economics, Springer, vol. 19(2), pages 69-80, September.
    12. Carmen Cotei & Joseph Farhat, 2018. "The M&A exit outcomes of new, young firms," Small Business Economics, Springer, vol. 50(3), pages 545-567, March.
    13. Gilsing, Victor & Nooteboom, Bart & Vanhaverbeke, Wim & Duysters, Geert & van den Oord, Ad, 2008. "Network embeddedness and the exploration of novel technologies: Technological distance, betweenness centrality and density," Research Policy, Elsevier, vol. 37(10), pages 1717-1731, December.
    14. Katia Angué & Cécile Ayerbe & Liliana Mitkova, 2014. "A Method Using Two Dimensions of the Patent Classification for Measuring the Technological Proximity. An Application in Identifying a Potential R&D Partner in Biotechnology," Post-Print hal-01133957, HAL.
    15. Wennberg, Karl & Wiklund, Johan & DeTienne, Dawn R. & Cardon, Melissa S., 2010. "Reconceptualizing entrepreneurial exit: Divergent exit routes and their drivers," Journal of Business Venturing, Elsevier, vol. 25(4), pages 361-375, July.
    16. David J. Teece & Richard Rumelt & Giovanni Dosi & Sidney Winter, 2000. "Understanding Corporate Coherence: Theory and Evidence," Chapters, in: Innovation, Organization and Economic Dynamics, chapter 9, pages 264-293, Edward Elgar Publishing.
    17. Luciano Kay & Nils Newman & Jan Youtie & Alan L. Porter & Ismael Rafols, 2014. "Patent overlay mapping: Visualizing technological distance," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(12), pages 2432-2443, December.
    18. Aharonson, Barak S. & Schilling, Melissa A., 2016. "Mapping the technological landscape: Measuring technology distance, technological footprints, and technology evolution," Research Policy, Elsevier, vol. 45(1), pages 81-96.
    19. Engelsman, E. C. & van Raan, A. F. J., 1994. "A patent-based cartography of technology," Research Policy, Elsevier, vol. 23(1), pages 1-26, January.
    20. Bar, Talia & Leiponen, Aija, 2012. "A measure of technological distance," Economics Letters, Elsevier, vol. 116(3), pages 457-459.
    21. Sam Arts & Bruno Cassiman & Juan Carlos Gomez, 2018. "Text matching to measure patent similarity," Strategic Management Journal, Wiley Blackwell, vol. 39(1), pages 62-84, January.
    22. H. Simon & N. Sick, 2016. "Technological distance measures: new perspectives on nearby and far away," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1299-1320, June.
    23. Lori Rosenkopf & Paul Almeida, 2003. "Overcoming Local Search Through Alliances and Mobility," Management Science, INFORMS, vol. 49(6), pages 751-766, June.
    24. Breschi, Stefano & Lissoni, Francesco & Malerba, Franco, 2003. "Knowledge-relatedness in firm technological diversification," Research Policy, Elsevier, vol. 32(1), pages 69-87, January.
    25. Marianna Makri & Michael A. Hitt & Peter J. Lane, 2010. "Complementary technologies, knowledge relatedness, and invention outcomes in high technology mergers and acquisitions," Strategic Management Journal, Wiley Blackwell, vol. 31(6), pages 602-628, June.
    26. Fabian Homberg & Katja Rost & Margit Osterloh, 2009. "Do synergies exist in related acquisitions? A meta-analysis of acquisition studies," Review of Managerial Science, Springer, vol. 3(2), pages 75-116, July.
    27. Olga Petricevic & David J Teece, 2019. "The structural reshaping of globalization: Implications for strategic sectors, profiting from innovation, and the multinational enterprise," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 50(9), pages 1487-1512, December.
    28. Katia Angue & Cécile Ayerbe & Liliana Mitkova, 2014. "A method using two dimensions of the patent classification for measuring the technological proximity: an application in identifying a potential R&D partner in biotechnology," The Journal of Technology Transfer, Springer, vol. 39(5), pages 716-747, October.
    29. Nooteboom, Bart, 1999. "Innovation, Learning and Industrial Organisation," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 23(2), pages 127-150, March.
    30. Gautam Ahuja & Riitta Katila, 2001. "Technological acquisitions and the innovation performance of acquiring firms: a longitudinal study," Strategic Management Journal, Wiley Blackwell, vol. 22(3), pages 197-220, March.
    31. Gary Dushnitsky & Michael J. Lenox, 2005. "When do firms undertake R&D by investing in new ventures?," Strategic Management Journal, Wiley Blackwell, vol. 26(10), pages 947-965, October.
    32. Lu Huang & Lining Shang & Kangrui Wang & Alan L. Porter & Yi Zhang, 2016. "Identifying Targets for Technology Mergers and Acquisitions Using Patent Information and Semantic Analysis," Innovation, Technology, and Knowledge Management, in: Tugrul U. Daim & Denise Chiavetta & Alan L. Porter & Ozcan Saritas (ed.), Anticipating Future Innovation Pathways Through Large Data Analysis, chapter 0, pages 173-186, Springer.
    33. Bablu Kumar Dhar & Alessandro Stasi & Jesper Ole Döpping & Md Abu Issa Gazi & Jakhongir Shaturaev & Sabrina Maria Sarkar, 2022. "Mediating Role of Strategic Flexibility Between Leadership Styles on Strategic Execution: A Study on Bangladeshi Private Enterprises," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 23(3), pages 409-420, September.
    34. Davide Settembre-Blundo & Rocío González-Sánchez & Sonia Medina-Salgado & Fernando E. García-Muiña, 2021. "Flexibility and Resilience in Corporate Decision Making: A New Sustainability-Based Risk Management System in Uncertain Times," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 22(2), pages 107-132, December.
    35. Katia Angué & Cécile Ayerbe & Liliana Mitkova, 2014. "A method using two dimensions of the patent classification for measuring the technological proximity: an application in identifying a potential R&D partner in biotechnology," Post-Print halshs-01111790, HAL.
    36. Katia Angue & Cécile Ayerbe & Liliana Mitkova, 2014. "A method using two dimensions of the patent classification for measuring the technological proximity: an application in identifying a potential R&D partner in biotechnology," Post-Print halshs-00925820, HAL.
    37. Srikanth Paruchuri & Atul Nerkar & Donald C. Hambrick, 2006. "Acquisition Integration and Productivity Losses in the Technical Core: Disruption of Inventors in Acquired Companies," Organization Science, INFORMS, vol. 17(5), pages 545-562, October.
    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. H. Simon & N. Sick, 2016. "Technological distance measures: new perspectives on nearby and far away," Scientometrics, Springer;Akadémiai Kiadó, vol. 107(3), pages 1299-1320, June.
    2. Luigi Aldieri & Maxim Kotsemir & Concetto Paolo Vinci, 2020. "The role of environmental innovation through the technological proximity in the implementation of the sustainable development," Business Strategy and the Environment, Wiley Blackwell, vol. 29(2), pages 493-502, February.
    3. Aldieri, Luigi & Kotsemir, Maxim & Vinci, Concetto Paolo, 2017. "Jacobian spillovers in environmental technological proximity: the role of Mahalanobis index on European patents within the Triad," MPRA Paper 77274, University Library of Munich, Germany.
    4. Koki Oikawa, 2017. "Inter-firm Technological Proximity and Knowledge Spillovers," Public Policy Review, Policy Research Institute, Ministry of Finance Japan, vol. 13(3), pages 305-324, November.
    5. Hain, Daniel S. & Jurowetzki, Roman & Buchmann, Tobias & Wolf, Patrick, 2022. "A text-embedding-based approach to measuring patent-to-patent technological similarity," Technological Forecasting and Social Change, Elsevier, vol. 177(C).
    6. Kuan, Chung-Huei & Chen, Dar-Zen & Huang, Mu-Hsuan, 2019. "Bibliographically coupled patents: Their temporal pattern and combined relevance," Journal of Informetrics, Elsevier, vol. 13(4).
    7. Tom Broekel & Matthias Brachert, 2015. "The structure and evolution of inter-sectoral technological complementarity in R&D in Germany from 1990 to 2011," Journal of Evolutionary Economics, Springer, vol. 25(4), pages 755-785, September.
    8. Pollok, Patrick & Lüttgens, Dirk & Piller, Frank T., 2019. "Attracting solutions in crowdsourcing contests: The role of knowledge distance, identity disclosure, and seeker status," Research Policy, Elsevier, vol. 48(1), pages 98-114.
    9. Ernest Miguelez & Andrea Morrison, 2023. "Migrant inventors as agents of technological change," The Journal of Technology Transfer, Springer, vol. 48(2), pages 669-692, April.
    10. Jeff Alstott & Giorgio Triulzi & Bowen Yan & Jianxi Luo, 2017. "Mapping technology space by normalizing patent networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 110(1), pages 443-479, January.
    11. Katia Angue & Cécile Ayerbe & Liliana Mitkova, 2014. "A method using two dimensions of the patent classification for measuring the technological proximity: an application in identifying a potential R&D partner in biotechnology," The Journal of Technology Transfer, Springer, vol. 39(5), pages 716-747, October.
    12. Alex J. Guerrero & Joost Heijs & Elena Huergo, 2023. "The effect of technological relatedness on firm sales evolution through external knowledge sourcing," The Journal of Technology Transfer, Springer, vol. 48(2), pages 476-514, April.
    13. Hugo Ernesto Martínez Ardila & Julián Eduardo Mora Moreno & Jaime Alberto Camacho Pico, 2020. "Networks of collaborative alliances: the second order interfirm technological distance and innovation performance," The Journal of Technology Transfer, Springer, vol. 45(4), pages 1255-1282, August.
    14. Aharonson, Barak S. & Schilling, Melissa A., 2016. "Mapping the technological landscape: Measuring technology distance, technological footprints, and technology evolution," Research Policy, Elsevier, vol. 45(1), pages 81-96.
    15. Figueroa, Nicolás & Serrano, Carlos J., 2019. "Patent trading flows of small and large firms," Research Policy, Elsevier, vol. 48(7), pages 1601-1616.
    16. Koki Oikawa & Minoru Kitahara, 2017. "Technology Polarization," Working Papers e113, Tokyo Center for Economic Research.
    17. Steffen Runge & Christian Schwens & Matthias Schulz, 2022. "The invention performance implications of coopetition: How technological, geographical, and product market overlaps shape learning and competitive tension in R&D alliances," Strategic Management Journal, Wiley Blackwell, vol. 43(2), pages 266-294, February.
    18. Dai, Lu & Zhang, Jiajun & Luo, Shougui, 2022. "Effective R&D capital and total factor productivity: Evidence using spatial panel data models," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    19. Yawen Qin & Xiaozhen Qin & Haohui Chen & Xun Li & Wei Lang, 2021. "Measuring cognitive proximity using semantic analysis: A case study of China's ICT industry," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6059-6084, July.
    20. Kathryn Rudie Harrigan & Maria Chiara DiGuardo, 2017. "Sustainability of patent-based competitive advantage in the U.S. communications services industry," The Journal of Technology Transfer, Springer, vol. 42(6), pages 1334-1361, December.

    More about this item

    Keywords

    Electric motor industry; M&A; Patent classification; Startup; Technological distance; Technological relatedness;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • L63 - Industrial Organization - - Industry Studies: Manufacturing - - - Microelectronics; Computers; Communications Equipment
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

    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:spr:gjofsm:v:24:y:2023:i:2:d:10.1007_s40171-022-00330-z. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.