IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i12p1315-d85103.html
   My bibliography  Save this article

Investigation of Strategic Changes Using Patent Co-Inventor Network Analysis: The Case of Samsung Electronics

Author

Listed:
  • Sungchul Choi

    (Department of Industrial and Management Engineering, Gachon University, Seongnam-si, Gyeonggi-do 13120, Korea)

  • Hyunseok Park

    (Department of Information System, Hanyang University, Seoul 04763, Korea)

Abstract

The aim of this paper is to propose a method to investigate a firm’s strategic changes. Technologies or technological capabilities are a major resource for achieving competitive advantages, so a firm’s R&D effort to improve capabilities on specific technologies is aligned with strategic direction. Therefore, this research analyzes changes in R&D efforts by identifying key R&D personnel using patent co-inventor network and social network analysis. Based on characteristics of application and granted patents, the method analyzes current and future R&D efforts and so identifies strategic changes of a firm. We conducted an empirical analysis using the patents of Samsung Electronics. Our method analyzed the current and future strategies of Samsung Electronics and the result shows clear strategic changes in their focal technologies and business.

Suggested Citation

  • Sungchul Choi & Hyunseok Park, 2016. "Investigation of Strategic Changes Using Patent Co-Inventor Network Analysis: The Case of Samsung Electronics," Sustainability, MDPI, vol. 8(12), pages 1-13, December.
  • Handle: RePEc:gam:jsusta:v:8:y:2016:i:12:p:1315-:d:85103
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/12/1315/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/8/12/1315/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Popp David & Juhl Ted & Johnson Daniel K.N., 2004. "Time In Purgatory: Examining the Grant Lag for U.S. Patent Applications," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 4(1), pages 1-45, November.
    2. Jyun-Cheng Wang & Cheng-hsin Chiang & Shu-Wei Lin, 2010. "Network structure of innovation: can brokerage or closure predict patent quality?," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 735-748, September.
    3. Xiao-Ping Lei & Zhi-Yun Zhao & Xu Zhang & Dar-Zen Chen & Mu-Hsuan Huang & Jia Zheng & Run-Sheng Liu & Jing Zhang & Yun-Hua Zhao, 2013. "Technological collaboration patterns in solar cell industry based on patent inventors and assignees analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 427-441, August.
    4. Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
    5. Cantner, Uwe & Graf, Holger, 2006. "The network of innovators in Jena: An application of social network analysis," Research Policy, Elsevier, vol. 35(4), pages 463-480, May.
    6. Scherer, F. M., 1983. "The propensity to patent," International Journal of Industrial Organization, Elsevier, vol. 1(1), pages 107-128, March.
    7. Ernst, Holger, 2003. "Patent information for strategic technology management," World Patent Information, Elsevier, vol. 25(3), pages 233-242, September.
    8. Hyunseok Park & Janghyeok Yoon & Kwangsoo Kim, 2013. "Identification and evaluation of corporations for merger and acquisition strategies using patent information and text mining," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 883-909, December.
    9. Francisco José Acedo & Carmen Barroso & Cristóbal Casanueva & José Luis Galán, 2006. "Co‐Authorship in Management and Organizational Studies: An Empirical and Network Analysis," Journal of Management Studies, Wiley Blackwell, vol. 43(5), pages 957-983, July.
    10. Sternitzke, Christian & Bartkowski, Adam & Schramm, Reinhard, 2008. "Visualizing patent statistics by means of social network analysis tools," World Patent Information, Elsevier, vol. 30(2), pages 115-131, June.
    11. Jung, Sungchang & Imm, Keun-Young, 2002. "The patent activities of Korea and Taiwan: a comparative case study of patent statistics," World Patent Information, Elsevier, vol. 24(4), pages 303-311, December.
    12. Lobo, José & Strumsky, Deborah, 2008. "Metropolitan patenting, inventor agglomeration and social networks: A tale of two effects," Journal of Urban Economics, Elsevier, vol. 63(3), pages 871-884, May.
    13. Alireza Abbasi & Jorn Altmann, 2010. "On the Correlation between Research Performance and Social Network Analysis Measures Applied to Research Collaboration Networks," TEMEP Discussion Papers 201066, Seoul National University; Technology Management, Economics, and Policy Program (TEMEP), revised Oct 2010.
    14. Nicholas S. Argyres & Brian S. Silverman, 2004. "R&D, organization structure, and the development of corporate technological knowledge," Strategic Management Journal, Wiley Blackwell, vol. 25(8‐9), pages 929-958, August.
    15. Han, Yoo-Jin & Park, Yongtae, 2006. "Patent network analysis of inter-industrial knowledge flows: The case of Korea between traditional and emerging industries," World Patent Information, Elsevier, vol. 28(3), pages 235-247, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Byeongki Jeong & Janghyeok Yoon, 2017. "Competitive Intelligence Analysis of Augmented Reality Technology Using Patent Information," Sustainability, MDPI, vol. 9(4), pages 1-22, March.
    2. Joohyung Lim & Sungchul Choi & Chiehyeon Lim & Kwangsoo Kim, 2017. "SAO-Based Semantic Mining of Patents for Semi-Automatic Construction of a Customer Job Map," Sustainability, MDPI, vol. 9(8), pages 1-17, August.
    3. Alptekin Durmuşoğlu, 2017. "Effects of Clean Air Act on Patenting Activities in Chemical Industry: Learning from Past Experiences," Sustainability, MDPI, vol. 9(5), pages 1-10, May.
    4. Donghyun You & Hyunseok Park, 2018. "Developmental Trajectories in Electrical Steel Technology Using Patent Information," Sustainability, MDPI, vol. 10(8), pages 1-15, August.
    5. Fang Han & Sejun Yoon & Nagarajan Raghavan & Hyunseok Park, 2022. "Investigating Company’s Technical Development Directions Based on Internal Knowledge Inheritance and Inventor Capabilities: The Case of Samsung Electronics," Sustainability, MDPI, vol. 14(5), pages 1-19, March.
    6. Choi, Jaewoong & Jeong, Byeongki & Yoon, Janghyeok, 2019. "Technology opportunity discovery under the dynamic change of focus technology fields: Application of sequential pattern mining to patent classifications," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
    7. Lin Zhu & Donghua Zhu & Xuefeng Wang & Scott W. Cunningham & Zhinan Wang, 2019. "An integrated solution for detecting rising technology stars in co-inventor networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(1), pages 137-172, October.

    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. De Paulo, A.F. & Porto, G.S., 2023. "Unveiling the cooperation dynamics in the photovoltaic technologies’ development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    2. Fang Han & Sejun Yoon & Nagarajan Raghavan & Hyunseok Park, 2022. "Investigating Company’s Technical Development Directions Based on Internal Knowledge Inheritance and Inventor Capabilities: The Case of Samsung Electronics," Sustainability, MDPI, vol. 14(5), pages 1-19, March.
    3. Lee, Changyong & Cho, Yangrae & Seol, Hyeonju & Park, Yongtae, 2012. "A stochastic patent citation analysis approach to assessing future technological impacts," Technological Forecasting and Social Change, Elsevier, vol. 79(1), pages 16-29.
    4. Li, Yingbo & Wei, Yigang & Li, Yan & Lei, Zhen & Ceriani, Alessandra, 2022. "Connecting emerging industry and regional innovation system: Linkages, effect and paradigm in China," Technovation, Elsevier, vol. 111(C).
    5. Park, Jongyong & Lee, Hakyeon & Park, Yongtae, 2009. "Disembodied knowledge flows among industrial clusters: A patent analysis of the Korean manufacturing sector," Technology in Society, Elsevier, vol. 31(1), pages 73-84.
    6. Yunwei Chen & Shu Fang, 2014. "Mapping the evolving patterns of patent assignees’ collaboration networks and identifying the collaboration potential," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(2), pages 1215-1231, November.
    7. Der-Shiuan Lee, 2018. "Towards Urban Resilience through Inter-City Networks of Co-Invention: A Case Study of U.S. Cities," Sustainability, MDPI, vol. 10(2), pages 1-23, January.
    8. A. Fronzetti Colladon & B. Guardabascio & F. Venturini, 2023. "A new mapping of technological interdependence," Papers 2308.00014, arXiv.org, revised Sep 2024.
    9. Jos� Lobo & Charlotta Mellander & Kevin Stolarick & Deborah Strumsky, 2014. "The Inventive, the Educated and the Creative: How Do They Affect Metropolitan Productivity?," Industry and Innovation, Taylor & Francis Journals, vol. 21(2), pages 155-177, February.
    10. Curci, Ylenia & Mongeau Ospina, Christian A., 2016. "Investigating biofuels through network analysis," Energy Policy, Elsevier, vol. 97(C), pages 60-72.
    11. Liu, Weiwei & Song, Yifan & Bi, Kexin, 2021. "Exploring the patent collaboration network of China's wind energy industry: A study based on patent data from CNIPA," Renewable and Sustainable Energy Reviews, Elsevier, vol. 144(C).
    12. Mario V. Tomasello & Mauro Napoletano & Antonios Garas & Frank Schweitzer, 2017. "The rise and fall of R&D networks," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 26(4), pages 617-646.
    13. Michael Roach & Wesley M. Cohen, 2012. "Lens or Prism? Patent Citations as a Measure of Knowledge Flows from Public Research," NBER Working Papers 18292, National Bureau of Economic Research, Inc.
    14. Boeing, Philipp & Mueller, Elisabeth, 2019. "Measuring China's patent quality: Development and validation of ISR indices," China Economic Review, Elsevier, vol. 57(C).
    15. Harpreet Singh & David Kryscynski & Xinxin Li & Ram Gopal, 2016. "Pipes, pools, and filters: How collaboration networks affect innovative performance," Strategic Management Journal, Wiley Blackwell, vol. 37(8), pages 1649-1666, August.
    16. Daniel Tzabbar & Alex Vestal, 2015. "Bridging the Social Chasm in Geographically Distributed R&D Teams: The Moderating Effects of Relational Strength and Status Asymmetry on the Novelty of Team Innovation," Organization Science, INFORMS, vol. 26(3), pages 811-829, June.
    17. Nicolas van Zeebroeck, 2011. "Long Live Patents: the Increasing Life Expectancy of Patent Applications and its Determinants," Review of Economics and Institutions, Università di Perugia, vol. 2(3).
    18. Joshua S. Gans & David H. Hsu & Scott Stern, 2008. "The Impact of Uncertain Intellectual Property Rights on the Market for Ideas: Evidence from Patent Grant Delays," Management Science, INFORMS, vol. 54(5), pages 982-997, May.
    19. Jan M. Gerken & Martin G. Moehrle, 2012. "A new instrument for technology monitoring: novelty in patents measured by semantic patent analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 91(3), pages 645-670, June.
    20. Falk Nathan & Train Kenneth, 2017. "Patent Valuation with Forecasts of Forward Citations," Journal of Business Valuation and Economic Loss Analysis, De Gruyter, vol. 12(1), pages 101-121, February.

    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:gam:jsusta:v:8:y:2016:i:12:p:1315-:d:85103. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.