DOI QR코드

DOI QR Code

A study on prioritizing the application areas for business development of IoT(Internet of Things)

사물 인터넷의 사업화 영역에 대한 우선순위 선정에 관한 연구

  • 문태희 (SK텔레콤 IoT사업팀) ;
  • 김태훈 (국민대학교 비즈니스IT전문대학원) ;
  • 안현철 (국민대학교 비즈니스IT전문대학원)
  • Received : 2014.09.10
  • Accepted : 2014.11.20
  • Published : 2014.11.28

Abstract

This study aims at identifying and prioritizing the application areas for business development of IoT(Internet of Things). In specific, we collected the opinions of the experts on IoT in Korea through the survey based on pairwise comparison, and then we analyzed them using AHP(analytic hierarchy process). As a result, we found that 'Public Safety & Security', 'Automotive & Transportation', and 'Utility & Energy' are the most promising area in realizing IoT-related businesses. Also, we found that the experts had different views according to the positions of their industry in IoT value chain. The analysis showed that the device industry prioritizes 'Public Safety & Security', whereas the network industry does 'Automotive & Transportation'. The experts from the service industry were found to regard 'Utility and Energy' as the most promising commercialization area of IoT.

본 연구에서는 최근 부상하고 있는 디지털 기술 중 하나인 사물 인터넷(이하 IoT)과 관련하여, 기업들이 사업을 전개할 수 있는 사업화 영역들을 기존 문헌을 토대로 식별하고, 이러한 영역들 중 과연 어떤 영역이 사업화하기에 적합한 지를 파악하기 위해 우선순위를 선정하는 연구를 수행하였다. 구체적으로 본 연구에서는 쌍대비교에 기반한 설문을 통해 국내 IoT 전문가들의 의견을 수렴하였으며, 분석적 계층 프로세스(이하 AHP) 기법을 적용해 IoT 사업화 영역의 우선순위를 도출하였다. 분석 결과, 전체적으로는 '공공안전 & 보안', '자동차 & 교통', '공공사업 & 에너지' 분야가 IoT 기술이 우선 적용될 수 있는 분야로 나타났다. 아울러, IoT의 가치사슬 중 기기, 네트워크, 서비스 분야에 소속되어 있는 전문가들 사이에 사업화 영역의 우선순위를 서로 다르게 판단하고 있음을 발견하였는데, 기기 분야에서는 '공공안전 & 보안' 분야를, 네트워크 분야에서는 '자동차 & 교통'을, 서비스 분야에서는 '공공사업 & 에너지' 분야를 우선시 하는 것으로 나타났다.

Keywords

References

  1. H. S. Jeon, IoT applications and their future directions. Local Informatization Magazine, Vol. 85, pp. 34-37, 2014.
  2. W. S. Jeong.S. H. Kim.K. S. Min, An Analysis of the Economic Effects for the IoT Industry. Journal of Korean Society for Internet Information, Vol. 14, No. 5, pp. 119-128, 2013. https://doi.org/10.7472/jksii.2013.14.5.119
  3. W. Y. Kim, The IoT age is coming with new business opportunities. Technology and Management - A Monthly Journal, No. 9, pp. 54-57, 2013.
  4. Machina Research, The global M2M market in 2012, 2013.
  5. Ministry of Science, ICT and Future Planning, The basic plan of IoT, 2014.
  6. D. Y. Joo.J. K. Kim, Fostering creative fusion of IoT in the hyper-connectivity age (Issue Paper 2014-342), Korea Institute for Industrial Economics & Trade, 2014.
  7. H. W. Kim.D. K. Kim, IoT technologies and security. Journal of Information Security, Vol. 22, No. 1, pp. 7-13, 2012.
  8. Y. J. Kim.Y. G. Jeong.I. Y. Jeong, Device objectification and orchestration mechanism for IoT intelligent service. Journal of Korea Information and Communications Society, Vol. 38, No.1, pp. 19-32, 2013.
  9. J. S. Yoon, M2M / IOT communication technology standardization. OSIA Standards & Technology Review, Vol. 26, No. 2, pp. 18-27, 2013.
  10. S. H. Lee.K. K. Kim.W. G. Jang, A study on the technology for global device discovery and service lookup based on IoT-A. Proceedings of 2014 Winter Conference of Korea Information and Communications Society, pp. 329-330, 2014.
  11. T. L. Saaty, The Analytic Hierarchy Process. NY: McGraw Hill, 1980.
  12. S. Y. Song, A study on the factors of choosing the liner shipping companies using AHP method by international freight forwarder. International Commerce and Information Review, Vol. 13, No. 2, pp. 95-117, 2011. https://doi.org/10.15798/kaici.13.2.201106.95
  13. T. L. Saaty, How to make a decision: The analytic hierarchy process. European Journal of Operation Research, Vol. 48, No. 1, pp. 9-26, 1990. https://doi.org/10.1016/0377-2217(90)90057-I
  14. T. L. Saaty, G. V. Luis, Diagnosis with dependent symptoms: Bayes theorem and the analytic hierarchy process. Operations Research, Vol. 46, No. 4, 1998, pp. 491-502. https://doi.org/10.1287/opre.46.4.491
  15. K. T. Cho.S. J. Kim.S. M. Kim.Y. U Kim.S. J. Kim.Y. G. Cho, Cost benefit analysis of CT and MRI using the AHP, Korean Management Science, Vol. 21, No. 2, pp. 93-109, 2004.
  16. W. H. Byun.D. S. Yang.H. Y. Kee. M. C. Jeong, The study on U-service priority for low-income people using AHP. The Journal of the Korea Institute of Intelligent Transport Systems, Vol. 10, No. 1, pp. 100-111, 2011.
  17. S. J. Park.C. Koh, Analysis of key factors in operational control transition resolution using analytic hierarchy process (AHP). Journal of Digital Convergence, Vol. 9, No. 6, pp. 153-163. 2011.
  18. D. H. Byun, Selecting a mobile device using the analytic hierarchy process, Journal of Digital Convergence, Vol. 9, No. 4, pp. 1-8. 2011.
  19. D. W. Han.M. C. Kang, Policy directions for special education teachers to invigorate smart education using AHP, Journal of Digital Convergence, Vol. 10, No. 11, pp. 681-689, 2012.
  20. D. W. Han.M. C. Kang, Policy directions for parents of students with disability to invigorate smart education in special education, Journal of Digital Convergence, Vol. 12, No. 3, pp. 63-68, 2014. https://doi.org/10.14400/JDC.2014.12.3.63
  21. S. Y. Kim, A study on the strategic priority for defense quality management factors by using analytic hierarchy process. Journal of the Society of Korea Industrial and Systems Engineering, Vol. 35, No. 3, pp. 217-224, 2011.
  22. Beecham Research, M2M/IoT Sector Map, 2014. http://www.beechamresearch.com/article.aspx?id=4 (Accessed on October 10, 2014).