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Consumer Experience and Adoption Intention of Internet of Things Services: The Impact of Network Externalities

소비자의 사물인터넷 서비스 경험과 수용의도 : 네트워크 외부성을 중심으로

  • Zhang, Minxin (Dept. of Consumer Science, Chungnam National University) ;
  • Lee, Jin-Myong (Dept. of Consumer Science, Chungnam National University)
  • Received : 2019.07.30
  • Accepted : 2019.10.20
  • Published : 2019.10.28

Abstract

The purpose of this study is to enhance the understanding of consumer experience and behavior of Internet of Things (IoT) services and to provide practical implications through investigating the impact of benefits-cost factors and network externalities on consumers' adoption intention of IoT services. An online survey was conducted on general consumers in their 20s to 60s who were aware of the IoT services and 328 data were collected. Using SPSS 24.0, frequency analysis, correlation analysis, factor analysis, and hierarchical regression analysis were conducted. As a result, the level of consumers' IoT service experience in various contexts was examined, and entertainment, informativeness, loss of humanity, compatibility, and complementarity were found to have a significant effect on consumers' adoption intention of IoT services. This study suggests that strengthening network externality effects by increasing compatibility and complementarity is important in promoting consumers' adoption of IoT services. In future studies, it is necessary to adopt specific Internet of Things services to verify the validity of the models developed in this study.

본 연구의 목적은 사물인터넷 서비스의 효용 비용 및 네트워크 외부성 요인이 소비자의 수용의도에 미치는 영향을 분석하는 것을 통해 사물인터넷 서비스에 대한 소비자 경험 및 행태에 대한 이해를 높이고 실무적으로 유용한 시사점을 제공하는 것이다. 사물인터넷 서비스를 인지하고 있는 20대에서 60대까지의 일반 소비자를 대상으로 온라인 설문조사를 통해 328부의 자료를 수집하였고, SPSS 24.0을 이용하여 빈도분석, 상관관계 분석, 요인분석, 위계적 회귀분석을 실시하였다. 연구결과, 다양한 맥락에서의 사물인터넷 서비스에 대한 소비자 경험 수준이 확인되었고, 오락성, 정보성, 인간가치 상실, 적합성, 호환성이 소비자의 사물인터넷 서비스 수용의도에 유의한 영향을 미치는 것으로 나타났다. 본 연구는 적합성과 호환성을 높임으로써 네트워크 외부성 효과를 강화하는 것이 소비자의 사물인터넷 서비스 수용을 촉진하는 데 있어 중요하다는 점을 시사한다. 향후 연구에서는 구체적인 사물인터넷 서비스를 채택하여 본 연구에서 개발한 모형의 타당성을 보다 정교하게 검증하는 것이 필요하다.

Keywords

References

  1. H. S. Jun. (2014). Application of Internet of Things and its future direction. Local Information magazine, 85, 34-35.
  2. Y. M. Kim & H. Y. Ryoo. (2017). User experience research paradigm in Internet of Things environment. Journal of Integrated Design Research, 16(3), 19-29. DOI: 10.21195/jidr.2017.16.3.002
  3. J. H. Park & H. Y. Ryoo. (2016). User value factors of Internet of Things service. Journal of the HCI Society of Korea, 11(2), 23-30. DOI: 10.17210/jhsk.2016.08.11.2.23
  4. N. Cha, J. Hwang & S. Lee. (2019). Analysis on the determinants of acceptance intention toward the public safety service using IoT. Innovation Studies, 14(1), 142-278.
  5. J. M. Lee. (2018). The effects of consumers' perceived value and network externality on continuous use intention of Internet primary bank. Journal of Consumer Studies, 29(4), 139-159. https://doi.org/10.35736/JCS.29.4.7
  6. Y. G. Hong, M. K. Shin & H. J. Kim. (2013). Internet of Things standardization trends. OSIA Standards & Technology Review, 26(2), 8-17.
  7. K. S. Cha. (1997). Service company's human relationship management. Seoul: Dawang Publisher.
  8. S. H. Lee, D. H. Shim & D. W. Lee. (2016). Actual cases of Internet of Thing on smart city industry. Journal of Convergence for Information Technology, 6(4), 65-70. DOI: 10.22156/CS4SMB.2016.6.4.065
  9. J. K. Bae. (2017). A study on the innovation resistance and deactivating factors of Internet of Things services: Focusing on the indepth interview method. The e-Business Studies, 18(2), 289-300. DOI : 10.20462/TeBS.2017.04.18.2.289
  10. M. S. Kim & J. J. Won. (2014). Current status of IoT-related value chain and market components. ICT & Media Policy, 26(8), 22-27.
  11. Ministry of Science, ICT and Future Planning. (2014). Internet of Things Basic Plan. Information and Communication Strategy Committee.
  12. D. Y. Joo & J. K. Kim. (2014). A plan to promote creative convergence of the Internet of Things (IoT) in the era of super-connectedness. Seoul: Korea Institute of Industrial Economics and Trade.
  13. J. J. Won. (2014). A study on legal and institutional improvement measures to promote the Internet of Things. Journal of Law and Politics research, 14(4), 1835-1867. https://doi.org/10.17926/kaolp.2014.14.4.1835
  14. K. B. Kim & H. J. Cho. (2017). A study on the regulation improvement measures for activation of Internet of Things and big data convergence. Journal of the Korea Convergence Society, 8(5), 29-35. DOI : 10.15207/JKCS.2017.8.5.029
  15. S. H. Lee & D. W. Lee. (2016). A study on u-health fusion field based on Internet of Thing. Journal of the Korea Convergence Society, 7(4), 19-24. DOI : 10.15207/JKCS.2016.7.4.019
  16. B. T. Kim. (2015). UX design utilization system research for improvement of user satisfaction in object Internet environments: Focus on beacon. Journal of Digital Design, 15(2), 649-660. DOI :10.17280/jdd.2015.15.2.061
  17. H. R. Kim, S. P. Hong & S. M. Park. (2016). A study on personal information protection guideline: Through research case study analysis in Internet of Things environment. Journal of Security Engineering, 13(2), 155-168. DOI: 10.14257/jse.2016.04.08
  18. A. R. Lee, S. M. Son, H. J. Kim & B. S. Kim. (2016). Improving personal data protection in IoT environments. Journal of the Korea Institute of Information Security & Cryptology, 26(4), 995-1012. DOI: 10.13089/jkiisc.2016.26.4.995
  19. J. H. Um & J. K. Park. (2015). A study on the interaction paradigm shift in environment of Internet of Things focusing on smart devices. The Korean Society of Science & Art, 19, 471-487. DOI: 10.17548/ksaf.2015.03.19.471
  20. J. S. Kim. (2015). Design of business reference model and technical reference model for IoT services in the smart early childhood education. The e-Business Studies, 16(4), 119-139. DOI: 10.15719/geba.16.4.201508.119
  21. J. Y. Lee, H. S. Choi & W. S. Rhee. (2015). Development of the web-based participation IoT service brokering platform. Journal of the Korea Contents Association, 15(2), 40-57. DOI: 10.5392/jkca.2015.15.02.040
  22. S. M. Chung, J. H. Choi & J. W. Park. (2016). Design of software quality evaluation model for IoT. Journal of the Korea Institute of Information and Communication Engineering, 20(7), 1342-1354. DOI: 10.6109/JKIICE.2016.20.7.1342
  23. D. H. Lee, S. M. Cho & J. H. Whang. (2013). A study of the factors affecting adoption of a mobile RFID: Focused on the technology area of mobile RFID. Journal of Information Technology Applications & Management, 20(1), 67-85. DOI: 10.21219/JITAM.2013.20.1.067
  24. J. K. Lee, J. H. Kang, Y. S. Ahn, M. J. Oh & H. B. Kim. (2014). A study on factors influencing usage intention of wearable device Adoption of the early users through TAM: Focusing on the smart watch. Journal of the Korea IT Service, 16(1), 507-510.
  25. J. W. Lee, J. H. Choi & J. W. Park. (2014). An empirical study on the individual and device characteristics affecting user's intention to use smart watch. Journal of Korean Institute of Information Technology, 12(11), 201-214. DOI: 10.14801/kitr.2014.12.11.201
  26. Y. H. Kim. (2016). A study on adoption of IoT smart home service: Based on contingent valuation method and value-based adoption model. Doctoral dissertation. Soongsil University, Seoul.
  27. J. W. Jung. (2018). A study on the information security factors affecting of smart home IoT services. Master's dissertation. Soongsil University, Seoul.
  28. N. J. Cha, J. S. Hwang & S. E. Lee. (2019). Analysis on the determinants of acceptance intention toward the public safety service using IoT. Journal of the Korea Innovation Studies, 14(1), 243-278. https://doi.org/10.46251/INNOS.2019.02.14.1.243
  29. P. S. Ring & A. H. Van. (1994). Developmental processes of cooperative interorganizational relationships. Academy of Management Review, 19(1), 90-118. DOI: 10.5465/amr.1994.9410122009
  30. M. L. Katz & C. Shapiro. (1985). Network externalities, competition, and compatibility. The American Economic Review, 75(3), 424-44.
  31. H. R. Cho, M. H. Lee & S. K. Lim. (2017). Analysis of marketing channel competition under network externality. Journal of Society of Korea Industrial and Systems Engineering, 40(1), 105-113. DOI: 10.11627/jkise.2017.40.1.105
  32. K. Y. Lin & H. P. Lu. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computers in Human Behavior, 27(3), 1152-1161. DOI: 110.1016/j.chb.2010.12.009
  33. E. M. Rogers. (1983). Diffusion of innovations. New York: FreePress.
  34. J. W. Kang & K. Y. Nam. (2014). The effects of individual motivation factors and network externalities on satisfaction in restaurant information sharing on SNS. Journal of Tourism Sciences, 38(8), 203-225.
  35. J. M. Lee, M. J. Jung, J. R. Lee, Y. E. Kim & C. Y. An. (2019). Consumer perception and adoption intention of artificial intelligent speaker: Non-users perspective. Journal of Consumer Studies, 30(2), 193-213. https://doi.org/10.35736/JCS.30.2.9
  36. M. M. Tsang, S. C. Ho & T. P. Liang. (2004). Consumer attitudes toward mobile advertising: An empirical study. International journal of electronic commerce, 8(3), 65-78. DOI: 10.1080/10864415.2004.11044301
  37. Y. Chang, X. Dong & W. Sun. (2014). Influence of characteristics of the Internet of Things on consumer purchase intention. International journal of Social Behavior and Personality, 42(2), 321-330. DOI: 10.2224/sbp.2014.42.2.321
  38. J. M. Lee, M. Y. Sim, M. S. Kang, H. G. Kang, J. A. Jang & D. Kim. (2019). Effects of perceived risk and consumer characteristics on the continuous use intention of technology based self service. Journal of Consumer Studies, 30(1), 69-92. https://doi.org/10.35736/JCS.30.1.4
  39. C. L. Hsu & J. C. C. Lin. (2016). An empirical examination of consumer adoption of Internet of Things services: Network externalities and concern for information privacy perspectives. Computers in Human Behavior, 62, 516-527. DOI: 10.1016/j.chb.2016.04.023