DOI QR코드

DOI QR Code

A Study on Development and Application of Taxonomy of Internet of Things Service

사물인터넷 서비스 분류체계 개발 및 활용에 관한 연구

  • Kim, Eun-A (Department of Information and Industrial Engineering, Yonsei University) ;
  • Kim, Kwang Soo (Department of Information and Industrial Engineering, Yonsei University) ;
  • Leem, Choon Seong (Department of Information and Industrial Engineering, Yonsei University) ;
  • Lee, Choong Hyun (Department of Information and Industrial Engineering, Yonsei University)
  • Received : 2015.04.30
  • Accepted : 2015.05.19
  • Published : 2015.05.31

Abstract

Internet of Things (IoT) is being globally spotlighted as a fundamental technology to realize hyper-connected society, and as new growth engines of nation and enterprises. Although the technical aspect of IoT receives a great deal of attention as a new business opportunity, the business aspect of IoT is suffering insufficient scholarly research and objective insight. Thus, the business aspect of IoT requires a thorough research on its service market and business opportunities. In order to stimulate the IoT service market and facilitate objective statistic data aggregation, this paper aims to suggest an IoT service categorization model. This model is comprised of three perspectives which are IoT purpose, IoT Player, and IoT Domain; they function as tools to comprehensively analyze the IoT industry. Efficacy of this model has been confirmed by simulating 117 IoT services on the model, in which the results successfully offered the market trend of the IoT service based on Case. This study is able to apply for basic research of IoT-Service Development Plan, and provide practical implications.

초연결사회를 구현하는 핵심 기술이자 정부와 기업의 새로운 신성장동력으로써 사물인터넷이 전 세계적으로 주목 받고 있다. 하지만 새로운 비즈니스 기회로써 받는 주목과는 대조적으로 기술적인 관점이 아닌 비즈니스 관점에서의 사물인터넷에 대한 학계의 연구는 미비한 수준에 머무르고 있으며, 사물인터넷 시장에 대한 객관적인 이해 또한 부족하다. 따라서 사물인터넷 서비스 시장의 실태를 파악하고, 신사업 기회를 포착 할 수 있는 연구가 필요하다. 본 연구는 사물인터넷 서비스 시장 활성화를 위한 기반연구로서 사물인터넷 시장에 대한 객관적인 통계 수집을 위한 사물인터넷 서비스 분류체계를 제시한다. 사물인터넷 서비스 분류체계는 사물인터넷 산업에 대한 포괄적인 분석을 위해 서비스 목적(IoT Purpose), 서비스 제공자(IoT Player), 서비스 영역(IoT Domain)의 관점으로 구성하였다. 문헌조사를 통해 총 117개의 사물인터넷 서비스를 수집하여 분류체계에 대입해 봄으로써 분류체계의 유용성을 검증하였고, 분류결과를 통해 사례 통계 기반의 사물인터넷 서비스 시장의 동향을 제시하였다. 본 연구는 향후 사물인터넷 서비스 활성화를 위한 기반 연구로써 활용될 수 있을 것으로 사료된다.

Keywords

References

  1. Alfonso, V., Eric, G., Sree, C., and Jouni, F., Market Trends: TSPs Must Invest in the Rapidly Evolving IoT Ecosystems Now, Gartner, 2013.
  2. Ansgar, S., Didier, L., Stuart, K., and Gregory, P., Wanted: Smart market makers for the "Internet of Things," Arthur D Little Prism, pp. 35-47, 2011.
  3. AT&T M2M Homepage, http://www.business.att.com/enterprise/Family/mobility-services/machine-to-machine.
  4. Beecham Research, M2M Sector Map, 2010. http://www.beechamresearch.com/article.aspx?id=4.
  5. Cellular-News, Internet of Things Installed Base Will Grow to 26Billion Units By 2020, 2013.
  6. Chong, K. W., Kim, J. C., Kim, J. I., and Lee, W. J., "A System for Analyzing Data Transmission Time in Ubiquitous Sensor Network," The Journal of Society for e-Business Studies, Vol. 13, No. 2, pp. 149-163, 2008.
  7. Dave, E., The Internet of Things How the Next Evolution of the Internet Is Changing Everything, Cisco IBSG, 2011.
  8. Deutsche Telekom-Machine to Machine (M2M), M2M Partner Program, https://partner.m2m.telekom.com/int_m2m-partner-program_2.dtag.
  9. Ericsson, M2M...It's a Fragmented Industry with Varying Roles in the Value Chain, 2012. https://innovationtracker.files.wordpress.com/2013/04/slide14.jpg.
  10. IoT-i(The Internet of Things Initiative), D2.1: Initial report on IoT applications of strategic interest, 2011.
  11. ITU, The Internet of Things, The ITU Strategy and Policy Unit(SPU), 2005.
  12. Jeong, H. and Lee, D. H., The evolution of the Internet of Things and Policy Suggestions, KISDI Premium Report, 2014.
  13. Jim, M., Mobile Operator Strategies for Success in M2M: The Role of Cloud Platforms, Machina Research, September, 2012
  14. Ju, D. Y. and Kim, J. G., Creative fusion Revitalization Plan of Internet of Things (IoT) in Hyper-connected Era, Korea Institute for Industrial Economics and Trade Issue Paper, 2014.
  15. Kim, M. S. and Jeong, W. J., "Internet of Things(IoT) related value chain and market component status," Korea Information Society Development Institute, Vol. 26, pp. 22-27, 2014.
  16. Korea Internet and Security Agency, Market policy trend analysis of Internet of Things, Internet and Security Issue, pp. 3-33, September, 2012.
  17. Lee, D. Y., Everything of Internet of Things, IDG Tech Report and IT World, pp. 1-21, 2013.
  18. Lee, G. Y., Lee, J. H., Jung, C. W., and Tak, Y. J., "IoT 3.0 and Internet of Things Platform Technology," Korea information processing society review, Vol. 21, No. 2, pp. 3-13, 2014.
  19. Lee, H. J., Kim, O. W., Kim, H., Kim, B. S., Han., J. W., Han, C. S., and Jung, J. Y., "Development of Ubiquitous Rice Intake Management Systems for Rice Processing Complex," The Journal of Society for e-Business Studies, Vol. 18, No. 2, pp. 175-189, 2013. https://doi.org/10.7838/jsebs.2013.18.2.175
  20. Lee, S. H. and Lee, D. W., "A Study on Internet of Things in IT Convergence Period," Journal of Digital Convergence, 2014.
  21. Machina Research, The Global M2M Market in 2013, White Paper, 2013.
  22. MarketsandMarkets, Internet of Things (IoT) and Machine-To-Machine(M2M) Communication Market-Worldwide Market Forecasts(2012-2017), 2013.
  23. Min, G. S., Internet of Things, Korea Internet and Security Agency Netterm, p. 32, 2013.
  24. Ministry of Science, ICT and Future Planning, IoT General plan for Leading Country of realization of Super digital revolution, 2014.
  25. Ministry of Science, ICT and Future Planning, Survey and Market Analysis of IoT(Internet of Things), Jinjan M&B, 2014.
  26. More with Mobile.com, Corporate Initiatives along the M2M Value Chain, 2013. http://www.more-with-mobile.com/2013/07/m2m-corporate-initatives-strongh1-2013.html.
  27. Nam, D. G., "Development and Future service model of intelligent communication objects," The Journal of Korean Institute of Communications and Information Sciences, Vol. 27, pp. 3-9, 2010.
  28. Naphade, M., Banavar, G., Harrison, C., Paraszczak, J., and Morris, R., "Smarter cities and their innovation challenges," the IEEE Computer Society, Vol. 44, pp. 32-39, 2011.
  29. Oracle, Internet of Things: Role of Oracle Fusion Middleware, Oracle White Paper, 2014.
  30. OVUM, The Telco Opportunity in Machine- to-Machine Communications, 2011.
  31. Peter, M., Peter, K., and Jim T., Forecast: The Internet of Things, Worldwide, Gartner, 2013.
  32. Pyo, C. S., Gang, H. Y., Kim, N. S., and Bang, H. C., "IoT(M2M) Technology Trends and Future Direction," The Korean Institute of Communications and Information Sciences, Vol. 30, pp. 3-10, 2013.
  33. Verizon M2M Homepage, http://www.verizonenterprise.com/products/m2m/.

Cited by

  1. Analysis of IoT Usage in Korean Key Manufacturing Industries vol.21, pp.4, 2016, https://doi.org/10.7838/jsebs.2016.21.4.081
  2. Real-time Streaming and Remote Control for the Smart Door-Lock System based on Internet of Things vol.25, pp.6, 2015, https://doi.org/10.5391/JKIIS.2015.25.6.565
  3. A Dynamic Estimation of Service Level Based on Fuzzy Logic for Robustness in the Internet of Things vol.18, pp.7, 2018, https://doi.org/10.3390/s18072190
  4. 사물인터넷(IoT) 환경의 응급실에 있어서 진료테스크 선정 지원 알고리즘 개발 vol.25, pp.2, 2015, https://doi.org/10.9709/jkss.2016.25.2.051
  5. 암호화 기법을 활용한 사물인터넷 기반의 스마트 도어락 시스템 vol.27, pp.1, 2017, https://doi.org/10.5391/jkiis.2017.27.1.065
  6. A Study on the Structure of Research Domain for Internet of Things Based on Keyword Analysis vol.36, pp.1, 2015, https://doi.org/10.29214/damis.2017.36.1.014
  7. 사용자의 확장브랜드 수용과 모브랜드의 영향력: 사물인터넷을 중심으로 vol.23, pp.2, 2015, https://doi.org/10.7838/jsebs.2018.23.2.049
  8. 리테일 산업에서의 구매단계별 사물인터넷 활용과 가치 창출 vol.19, pp.1, 2021, https://doi.org/10.14400/jdc.2021.19.1.187