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A Study on Definition and Types of Migration Path of Multiple Generation Technology: Case of Customers' and Suppliers' Migration Paths in Semiconductor Technology

다세대 기술 이동경로(Migration path)의 정의 및 종류에 대한 연구: 반도체 기술의 고객 및 공급자 이동경로 사례

  • Park, Changhyun (Office of R&D Budget and Feasibility Analysis, KISTEP (Korea Institute of S&T Evaluation and Planning))
  • 박창현 (한국과학기술기획평가원 재정투자분석본부)
  • Received : 2019.07.26
  • Accepted : 2019.11.01
  • Published : 2019.11.30

Abstract

The migration path of a multiple-generation technology that occurs during a technological substitution by a new technology is important to understanding the phenomenon of technological substitution, and can contribute to understanding the process of technological innovation. This research defines the concept of migration path and develops a model of the types of migration paths by multiple dimensions (actor, generation, and time) in a multiple-generation technology. Based on a literature review and tracking of migration paths according to multiple dimensions, the definitions and types of migration paths were provided, and the accuracy of the model was verified based on a case study of the semiconductor industry. The migration paths of suppliers are modeled with three types (switching, leapfrogging, and new entrance paths), and the migration paths of customers are modeled with four types (switching, leapfrogging, new entrance, and diffusion paths) in a multiple-generation technology. This research will be useful for understanding the migration paths in the phenomenon of technological substitution, and can be applied to other industries in addition to the semiconductor industry, including various actors. In addition, suppliers and customers can understand technological substitution and can establish a technology strategy against their competitors.

새로운 기술의 대체 현상에 의해 발생하는 다세대 기술의 이동경로는 기술의 대체 현상을 이해하는데 중요하며, 궁극적으로 기술혁신의 과정을 이해하는데 기여가능하다. 본 연구에서는 다세대 기술의 대체 과정에서 발생하는 이동경로의 개념을 정의하고, 다세대 기술의 이동경로의 종류에 대한 모형을 다차원 기반(액터, 세대, 시간)으로 개발하였다. 문헌리뷰 및 다차원 기반 이동경로의 궤적 추적을 통해 다세대 기술의 이동경로의 정의 및 종류에 대한 모형을 제시하였고, 도출한 모형의 정합성을 반도체 산업 사례를 바탕으로 검증하였다. 다세대 기술의 공급자들의 이동경로는 3가지 이동경로(전환경로, 뜀뛰기경로, 신규진입경로)로 모형화가 가능하였고, 고객들의 이동경로는 4가지 이동경로(전환경로, 뜀뛰기경로, 신규진입경로 및 확산경로)로 모형화가 가능하였다. 본 연구를 통해 도출한 이동경로의 정의 및 종류에 대한 모형은 다세대 기술의 대체 현상을 통한 이동경로를 이해하는데 유용할 것이고, 반도체 산업 외에도 다양한 산업군에서 다양한 유형의 액터들에 대해서도 적용 가능한 것이다. 또한 실무적으로도 공급자와 고객은 다세대 기술의 대체 현상을 이해하여 경쟁자 대비 기술전략을 수립하는데 유용할 것이다.

Keywords

References

  1. M. A. Schilling, Strategic Management of Technological Innovation. 3rd ed., New York: McGraw-Hill/Irwin, 2010.
  2. R. N. Foster, Innovation: The attacker's advantage, Summit Books, 1986.
  3. J. J. Mohr, S. Sengupta, and S. Slater, Marketing of High-technology Products and Innovations. Upper Saddle River, NJ: Pearson Prentice Hall, 2010.
  4. C. Park, "Customers' migration paths decided by relative advantage: longitudinal and comparative case study of successive generations of logic semiconductor technology", Technology Analysis & Strategic Management, vol. 31, no. 9, pp. 1063-1080, 2019. DOI: https://doi.org/10.1080/09537325.2019.1584285
  5. J. C. Fisher and R. H. Pry, "A simple substitution model of technological change", Technological Forecasting and Social Change, vol. 3, pp. 75-88, 1971. DOI: https://doi.org/10.1016/S0040-1625(71)80005-7
  6. E. M. Rogers, Diffusion of Innovations, 5th ed., New York: Free Press, 2003.
  7. V. Mahajan and E. Muller, "Timing, Diffusion, and Substitution of Successive Generations of Technological Innovations: The IBM Mainframe Case", Technological Forecasting and Social Change, vol. 51, pp. 109-132, 1996. DOI: https://doi.org/10.1016/0040-1625(95)00225-1
  8. Z. Jiang and D. C. Jain, "A Generalized Norton-Bass Model for Multigeneration Diffusion", Management Science, vol.58, no 10, pp.1887-1897, 2012. DOI: https://doi.org/10.1287/mnsc.1120.1529
  9. D. B. Jun and Y. S. Park, "A choice-based diffusion model for multiple generations of products", Technological Forecasting and Social Change, vol. 61, pp. 45-58, 1999. DOI: https://doi.org/10.1016/S0040-1625(98)00049-3
  10. J. A. Norton and F. M. Bass, "A Diffusion Theory Model of Adoption and Substitution For Successive Generations of High-Technology Products", Management Science, vol. 33, no. 9, pp. 1069-1086, 1987. DOI: https://doi.org/10.1287/mnsc.33.9.1069
  11. A. Herrmann, D. Sprott and T. Schlager, "What drives leapfrogging? empirical assessment of consumer determinants of leapfrogging", Total Quality Management & Business Excellence, vol. 28, no. 3-4, pp. 266-281, 2017. DOI: https://doi.org/10.1080/14783363.2015.1077328
  12. D. B. Jun and Y. S. Park, "A choice-based diffusion model for multiple generations of products", Technological Forecasting and Social Change, vol. 61, pp. 45-58, 1999. DOI: https://doi.org/10.1016/S0040-1625(98)00049-3
  13. V. B. Kreng and H. T. Wang, "A technology replacement model with variable market potential - An empirical study of CRT and LCD TV", Technological Forecasting and Social Change, vol. 76, no. 7, pp. 942-951, 2009. DOI: https://doi.org/10.1016/j.techfore.2009.02.001
  14. K. M. Eisenhardt, "Building theories from case study research", Academy of Management Review, vol. 14, no. 4, pp. 532-550, 1989. DOI: https://doi.org/10.5465/amr.1989.4308385
  15. R. K. Yin, Case Study Research: Design and Methods, Sage publications, Inc., 2009.
  16. C. Park, "A Study on Definition and Measurement of Customer Utility based on Attributes of Multiple Generation Technology: Case of 45nm and 32nm Logic Semiconductor", Journal of the Korea Academia-Industrial cooperation Society, vol. 19, no. 3, pp. 260-266, 2018. DOI: https://doi.org/10.5762/KAIS.2018.19.3.260
  17. N. Siggelkow, "Persuasion with case studies", The Academy of Management Journal Archive, vol. 50, no. 1, pp. 20-24, 2007. DOI: https://doi.org/10.5465/amj.2007.24160882
  18. K. Lee, C. Lim and W. Song, "Emerging digital technology as a window of opportunity and technological leapfrogging: catch-up in digital TV by the Korean firms", International Journal of Technology Management, vol.29, no.1-2, pp.40-63, 2005. DOI: https://doi.org/10.1504/IJTM.2005.006004
  19. Lee, K. and J. H. Ki, "Rise of Latecomers and Catch-Up Cycles in the World Steel Industry", Research Policy, vol.46, no.2, pp.365-375, 2017. DOI: https://doi.org/10.1016/j.respol.2016.09.010
  20. M. B. Lieberman and D. B. Montgomery, "First-mover (dis) advantages: retrospective and link with the resource‐based view", Strategic Management Journal, vol.19, no.12, pp. 1111-1125, 1998. DOI: https://doi.org/10.1002/(SICI)1097-0266(1998120)19:12<1111::AID-SMJ21>3.0.CO;2-W
  21. S. T. Hwang and H. S. Oh, "A Study on The Diffusion Factors and Policies of Advanced Manufacturing Technology", IE interfaces, vol. 12, no. 3, pp. 382-389, 1999.