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Discovering business diversification opportunities using patent information and open innovation cases

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  • Mun, Changbae
  • Kim, Yongmin
  • Yoo, Donghyun
  • Yoon, Sejun
  • Hyun, Heesu
  • Raghavan, Nagarajan
  • Park, Hyunseok

Abstract

This paper proposes a method to identify business diversification opportunities for a company. In particular, the method uses M&A cases related to business diversifications to identify atypical diversification opportunities. The underlying idea of the method is that industrial sectors of companies acquired by acquiring companies having similar characteristics with the focal company can be business diversification directions for the company. Industrial sectors of companies are identified by using IPC(International Patent Classification)-ISIC(International Standard Industrial Classification) concordance, and we updated the previous concordance to reflect the recent technological and business environments. For verification of the method, we used a successful M&A case related to business diversification and tested that the method can identify same industrial sector with the case as top priority. The results show that the method identified the same industrial sector as top ranking and other uncommon industrial sectors as recommended opportunities.

Suggested Citation

  • Mun, Changbae & Kim, Yongmin & Yoo, Donghyun & Yoon, Sejun & Hyun, Heesu & Raghavan, Nagarajan & Park, Hyunseok, 2019. "Discovering business diversification opportunities using patent information and open innovation cases," Technological Forecasting and Social Change, Elsevier, vol. 139(C), pages 144-154.
    • Handle: RePEc:eee:tefoso:v:139:y:2019:i:c:p:144-154
    DOI: 10.1016/j.techfore.2018.11.006
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    7. Liang, Liang & Alam, Ashraful & Sorwar, Ghulam & Yazdifar, Hassan & Eskandari, Rasol, 2021. "The combined network effect of sparse and interlocked connections in SMEs’ innovation," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
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