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A Study on the Factors Affecting the Usage Intentions of 5G Mobile Communication Service

5G 서비스의 이용의도에 영향을 미치는 요인에 관한 연구

  • Jeong, Man Soo (College of Engineering, Graduate School of Technology Policy) ;
  • Hong, Dae Sik (College of Engineering, Department of Electrical and Electronic Engineering) ;
  • Ji, Yong Gu (College of Engineering, Department of Industrial Engineering)
  • Received : 2019.12.17
  • Accepted : 2020.02.20
  • Published : 2020.02.28
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Abstract

This study is to investigate the factors affecting the usage intentions of 5G service between 5G service subscribers and non-subscribers based on the Integratively Extended Technology Acceptance Model in the initial B2C 5G service market. We designed the integratively extended technology acceptance model to find the more specific factors to affect the usage intentions by integrating the exogenous factors including the technical factors, the social factors, and the personal factors with the ETAM(Extended Technology Acceptance Model). Referring to the previous studies, we constructed the hypotheses of structural influence relationship from the exogenous factors to the dependent usage intentions factors through the mediating belief factors. We designed the 5G service usage intentions model based on these hypotheses and operational definitions of the factors. Using the analysis of SEM(Structural Equation Model), the proposed model and the hypotheses were empirically tested by the data collected from 245 subscribed respondents and 245 non-subscribed respondents. As a result, the perceived ease of use has an effect on the perceived usefulness and enjoyment, and the perceived usefulness/enjoyment and the personal innovativeness have positive effects on the usage intentions of both groups.

본 연구는 5G 서비스 초기 시장에서 통합적으로 확장된 기술수용모형을 기반으로 가입자 집단과 미가입자 집단의 5G 서비스의 이용의도에 영향을 미치는 요인을 도출하고 비교 분석을 하였다. 선행 연구를 고찰하고 영향 요인의 명확한 규명을 위하여, 5G 서비스의 기술적 요인과 사회적 요인, 개인적 요인들로 구성되는 외생변수들과 매개변수들 및 종속변수 간의 영향 관계를 분석해 가설을 설정하고 변수들의 측정 항목을 정의하여, 5G 서비스의 이용의도에 관한 연구 모형을 설계하였다. 5G 서비스 가입자 집단과 미가입자 집단 별로, 각 245명을 대상으로 측정 항목에 대한 설문을 조사하였다. 구조방정식 모형 분석 결과, 두 집단에 공통으로, 지각된 용이성이 지각된 유용성과 유희성에, 지각된 유용성과 유희성 및 개인 혁신성이 지속적 이용의도 및 수용의도에 정의 영향을 미쳤으며, 이용비용은 지각된 유용성에 부의 영향을 미쳤다. 가입자 집단에서는 네트워크 품질과 광고가 지각된 유용성과 유희성에, 스마트폰 품질과 사회적 영향력이 지각된 용이성에 정의 영향을 미쳤다. 특히 개인 혁신성이 지각된 유용성에 부의 영향을 미쳤다. 미가입자 집단에서는 네트워크 품질과 광고가 지각된 용이성에, 스마트폰 품질은 지각된 유용성과 유희성에, 자아 효능감은 지각된 용이성과 유용성 및 유희성에 정의 영향을 미쳤으며, 특히 개인 혁신성은 지각된 유희성에 부의 영향을 미치는 것이 파악되었다. 두 집단에 공통으로 지각된 유희성, 개인 혁신성, 지각된 유용성의 순으로 이용의도에 직접적인 영향을 미쳤다. 5G 초기 과도기적인 서비스에서 네트워크 품질과 스마트폰 품질의 신념변수에 미치는 영향은 집단 간 상반되는 결과를 보였으며, 서비스 품질은 사회적 요인 및 개인적 요인의 신념변수에 대한 영향에 관여를 하는 것으로 추정되었다.

Keywords

References

  1. 5G Service Roadmap 2022(Technical Report), TTA, TTAR-06.0190, 2017. 11.
  2. 5G+ Strategy to Realize Innovative Growth, Ministry of Science and ICT, 2019. 4.
  3. Adams, D. A., Nelson, R. R., and Todd, P. A., "Perceived usefulness, ease of use, and usage of information technology: A replication," MIS Quarterly, Vol. 16, No. 2, pp. 227-247, 1992. https://doi.org/10.2307/249577
  4. Agarwal, R. and Kanahanna, E., "Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage," Mis Quarterly, Vol. 24, No. 4, pp. 665-694, 2000. https://doi.org/10.2307/3250951
  5. Agarwal, R. and Prasad, J., “Are individual differences germane to the acceptance of new information technologies?,” Decision Sciences, Vol. 30, No. 2, pp. 361-391, 1999. https://doi.org/10.1111/j.1540-5915.1999.tb01614.x
  6. Anderson, J. W. and Gerbing, D. W., “Structural equation modeling in practice: A review and recommended two-step approach,” Psychological Bulletin, Vol. 103, No. 3, pp. 411-423, 1988. https://doi.org/10.1037/0033-2909.103.3.411
  7. Bae, D. H., Ryu, K. J., and Choi, J. W., "A study on the effects on usage intentions of trust, self efficacy, and flow," Korea Distribution Association, pp. 150-171, 2012.
  8. Bae, J. K., "An empirical study on the effect of perceived privacy, perceived security, perceived enjoyment on continuance usage intention in mobile cloud computing," The e-Business Studies, Vol. 15, No. 3, pp. 3-27. 2014.
  9. Bae, S. H., Park, J. G., and Baek, S. I., “Exploring the effects of service/product quality in building customer Loyalty,” Entrue Journal of Information Technology, Vol. 10, No. 2, pp. 163-180, 2011.
  10. Bandura, A., "Social foundations of thought and action: A social cognitive theory," Prentice-Hall, Inc, 1986.
  11. Bass, F., "A new product growth for model consumer durables," Management Science, Vol. 15, pp. 215-227, 1969. https://doi.org/10.1287/mnsc.15.5.215
  12. Choi, M. S., "A study on the influence of factors such as personal innovativeness, social influence and user interface on smart phone acceptance," Dissertation, Business Administration Graduate School Ehwa Womans University, 2011.
  13. Choi, Y. G., "The effect of service quality on customer satisfaction and willingness to purchase in the mobile telecommunication industry," The Journal of Business Education, Vol. 15, pp. 287-308, 2007.
  14. Cohen, J. B. and Charles, S. A., Affective and consumer behavior. In T. S. Robertson & H. J. Kassarjian (Eds.), Handbook of consumer behavior. Prentice Hall: Englewood Cliffs, pp. 189-240, 1991.
  15. Compeau, D. R. and Higgins, C. A., Computer self-efficacy: Development of a measure and initial test, MIS Quarterly, Vol. 19, No. 2, pp. 189-211, 1995. https://doi.org/10.2307/249688
  16. Datanet News, http://www.datanet.co.kr/news/articleView.html?idxno=123685, 2018. 6.
  17. Davis, F. D., "A technology acceptance model for empirically testing new end-user information systems: Theory and results," Doctorial Dissertation, Sloan School of Management, MIT, 1986.
  18. Davis, F. D., Bagozzi, R. P., and Warshaw, P. R., “User acceptance of computer technology: A comparison of two theoretical models,” Management Science, Vol. 35, No. 8, pp. 982-1003, 1989. https://doi.org/10.1287/mnsc.35.8.982
  19. Davis, F. D., “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Quarterly, Vol. 13, No. 3, pp. 319-340, 1989. https://doi.org/10.2307/249008
  20. Fishbein, M. and Ajzen, I., "Belief, attitude, intention and behavior: An introduction to theory and research," Reading, MA: Addison-Wesley, 1975.
  21. Fisher, R. J. and Price, L. L., “An investigation into the social context of early adoption behavior,” Journal of Consumer Research, Vol. 19, No. 3, pp. 477-486, 1992. https://doi.org/10.1086/209317
  22. Fitzsimmons, J. A. and Sullivan, R. S., "Service Operations Management," NY, Mcgraw-Hill, Inc., 1982.
  23. Gu, S. H., Kang, H. S., and Jang, S. Y., "A study on effects that service factors of telecommunication company and switching benefit influence to the customer satisfaction and switching intention," Korean Management Science Review, Vol. 31, No. 2, pp. 87-103, 2014. https://doi.org/10.7737/KMSR.2014.31.2.087
  24. Gu, S. H., Kim, D. W., Park, C. M., and Kim, K. H.. "Influence of LTE characteristic and personal innovativeness on LTE smart phone acceptance," Journal of Digital Contents Society, Vol. 14, No. 3, pp. 291-301, 2013. https://doi.org/10.9728/dcs.2013.14.3.291
  25. Hong, S. J., Thong, J. Y. L., and Tam, K. Y., "Understanding continued information technology usage behavior," Decision Support Systems, Vol. 42, pp. 1819-1834, 2006. https://doi.org/10.1016/j.dss.2006.03.009
  26. Huang, Y. C., Chang, S. J., and Cho, W. S., "An empirical analysis on the factors affecting the adoption of smartphone," Asia-Pacific Journal of Business Venturing and Entreprenuership, Vol. 6, No. 4, 2011.
  27. Igbaria, M. and Iivari, J., “The effects of self-efficacy on computer usage,” International Journal of Management Science, Vol. 23, No. 6, pp. 587-605, 1995.
  28. Igbaria, M., Zinatelli, N., Cragg, P., and Cavaye, A. L. M., “Personal computing acceptance factors in small firms: A structural equation model,” MIS Quarterly, Vol. 21, No. 3, pp. 279-305, 1997. https://doi.org/10.2307/249498
  29. Jeong, J. G. and Jang, K. J., “A study on the factors of smart-phone selection centered on actual users,” The e-Business Studies, Vol. 11, No. 4, pp. 361-379, 2010. https://doi.org/10.15719/geba.11.4.201011.361
  30. Kang, S. K., Kim, H. T., Ji, Y. G., and Lee, J. Y., “A study on the acceptance factors of the introduction of a smart IoT technology for well-being companion animal,” The Journal of Society for e-Business Studies, Vol. 24, No. 2, pp. 143-164, 2019.
  31. Ki, Y. S., Ahn, S. M., Cho, M. K., and Choi, B. G., “An analysis on affecting factors of healthcare applications continuous usage intention and their relationships,” The Journal of Society for e-Business Studies, Vol. 24, No. 1, pp. 49-89, 2019.
  32. Kim, B. S., Choi, M. S., and Han, I. G., "User behaviors toward mobile data services: The role of perceived fee and prior experience," Expert Systems with Applications, Vol. 36, pp. 8528-8536, 2009. https://doi.org/10.1016/j.eswa.2008.10.063
  33. Kim, D. W., "Core Infrastructure in the Fourth Industrial Revolution, 5G," KISDI Premium Report, Vol. 17, No. 06, pp. 1-16, 2017. 06. 14
  34. Kim, G. J., "The study on constructing acceptance model of digital multimedia broadcasting," dissertation, The Graduate School of Sogang University, 2007.
  35. Kim, H. J. and Kim, D. Y., "Perceptions and usages of smartphone users in the different phases of adoption," Korean Journal of Journalism & Communications Studies, Vol. 55, No. 4, pp. 382-405, 2011.
  36. Kim, H. W., Chan, H. C., and Gupta, S., "Value-based adoption of mobile internet: An empirical investigation," Decision Support Systems, Vol. 43, pp. 111-126, 2007. https://doi.org/10.1016/j.dss.2005.05.009
  37. Kim, S. H., “Effects of perceived attributes on the purchase intention of smart-phone,” Journal of the Korea Contents Association, Vol. 10, No. 9, pp. 318-326, 2010. https://doi.org/10.5392/JKCA.2010.10.9.318
  38. Kim, S. Y., Lee, S. H., and Hwang, H. S., “A study of the factors affecting adoption of a smartphone,” Entrue Journal of Information Technology, Vol. 10, No. 1, pp. 29-39, 2011. https://doi.org/10.3923/itj.2011.29.39
  39. Kim, W. P., "Basic statistics analysis," Wisein Company, 2017.
  40. Kim, W. P,, "Structural equation model analysis," Wisein Company, 2017.
  41. Kwon, G. B., 5G Mobile Standardization Trend, Weekly Technology Trend of IITP, https://www.itfind.or.kr jugidong file9363564664778516-189701, 2019. 5. 22.
  42. Kwon, G. Y. and Lee, D. G., “A study on the impact of personal characteristics on the use intent of smartphone,” Journal of Corporation and Innovation, Vol. 6, No. 1, pp. 85-107, 2013.
  43. Kwon, O. J., “An empirical study on potential smartphone users,” Internet and Information Security, Vol. 1, No. 1, pp. 55-83, 2010.
  44. Kwon, Y. S., "Study of the effect of the adoption and sustainable use of mobile devices," Doctorial Dissertation, The Graduate School Hansung University, 2013.
  45. Leavitt, C. and Walton, J., "Development of a scale for innovativeness," Advances in Consumer Research, Vol. 2, pp. 545-554, 1975.
  46. Lee, D., Rhee, Y., and Dunham, R. B., “The role of organizational and individual characteristics in technology acceptance,” International Journal of Human-Computer Interaction, Vol. 25, No. 7, pp. 623-646, 2009. https://doi.org/10.1080/10447310902963969
  47. Lee, J. Y. and Kang, T. G., "A study on the use intention of long term evolution mobile service," Wireless Pers Commun, Vol. 98, pp. 3245-3264, 2018. https://doi.org/10.1007/s11277-017-4929-1
  48. Liu, F., Park, C. K., and Kim, C. B., "A study on correlations between service quality, customer satisfaction, customer loyalty, switching barriers, and switching intention regarding mobile carriers," The Academy of Customer Satisfaction Management, Vol. 18, No. 2, pp. 127-151. 2016.
  49. Lu, J., Yu, C., Liu, C., and Yao, J., “Technology acceptance model for wireless internet,” Internet Research: Electronic Networking Applications and Policy, Vol. 13, No. 3, pp. 206-222, 2003. https://doi.org/10.1108/10662240310478222
  50. Min, B. S., “A study on the effects of the mobile telecommunication quality on customer satisfaction and customer loyalty,” J. Korean Soc. Qual. Manag, Vol. 44, No. 4, pp. 921-934, 2016. https://doi.org/10.7469/JKSQM.2016.44.4.921
  51. Mittal, V., Ross, W. T., Jr., and Baldasare, P. M., “The asymmetric impact of negative and positive attribute-level performance on overall satisfaction and repurchase intentions,” Journal of Marketing, Vol. 62, No. 1, pp. 33-47, 1998. https://doi.org/10.1177/002224299806200104
  52. Mobile telecommunication subscribers statistics as of 2019. 10, Ministry of Science and ICT.
  53. Moon, J. H., "The impact of bloggers' perceived system quality on their e-loyalty towards blogging service providers," The e-Business Studies, Vol. 6, No. 3, pp. 95-118, 2005.
  54. Nam, C. H., “A study on factors influencing DMB adoption,” Journal of Communication Science, Vol. 7, No. 2, pp. 143-188, 2007.
  55. New Daily Business, http://biz.newdaily.co.kr/site/data/html/2019/12/02/2019120200164.html, 2019. 12. 02.
  56. Park, J. H. and Shin, G. K., "The effect of smartphone's perceived functional attributes and personal innovativeness on the intention to adopt and actual usage," Korean Business Education Review, Vol. 26, No. 5, pp. 191-214, 2011.
  57. Park, J. H. and Shin. G. K., “Effects of smartphones usability on user’s satisfaction and loyalty: Focusing on moderating effect of terms of use,” Korean Journal of Business Administration, Vol. 25, No. 2, pp. 811-831, 2012.
  58. Park, S. C. and Kim, J. U., "Determinants of users' perceived value on mobile contents service," Journal of Information Technology Applications & Management, Vol. 15, No. 4, pp. 221-245, 2008.
  59. Park, S. T., Im, H., and Noh, K. S., "A study on factors affecting the adoption of LTE mobile communication service: The case of South Korea," Wireless Personal Communications, Vol. 86, No. 1, pp. 217-237, 2016. https://doi.org/10.1007/s11277-015-2802-7
  60. Porter, C. E. and Donthu, N., "Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics," Journal of Business Research, Vol. 59, pp. 999-1007, 2006. https://doi.org/10.1016/j.jbusres.2006.06.003
  61. Recommendation ITU-R M.2083-0. IMT Vision-Framework and Overall Objectives of the Future Development of IMT for 2020 and Beyond, 2015. 9.
  62. Rice, R. E., Grand, A. E. l., Schmitz, J., and Torobin, J., “Individual and network influences on the adoption and perceived outcomes of electronic messaging,” Social Networks, Vol. 12, No. 1, pp. 27-55, 1990. https://doi.org/10.1016/0378-8733(90)90021-Z
  63. Rogers, E., Diffusion of innovations(5th), New York, NY: Free Press, 2003.
  64. Sim, J. S., “A study on the evaluation model of IT service quality: Concentrated on the quality components in mobile communication service,” Korean Business Review, Vol. 17, No. 2, pp. 203-228, 2004.
  65. Sohn, Y. S. and Ahn, K. H., “New product adoption model incorporating the effect of word of mouth and advertising: A micromodeling approach,” Korean Journal of Marketing, Vol. 12, No. 1, pp. 157-181, 1997.
  66. Son, S. H., Choi, Y. J., and Hwang, H. S., “Understanding acceptance of smartphone among early adopters using extended technology acceptance model,” Korean Journal of Journalism & Communication Studies, Vol. 55, No. 2, pp. 227-251, 2011.
  67. Taylor, S. and Todd, P. A., “Understanding information technology usage: A test of competing models,” Information Systems Research, Vol. 6, No. 2, pp. 144-176, 1995. https://doi.org/10.1287/isre.6.2.144
  68. Van der Heijden, H., “User acceptance of hedonic information systems,” MIS Quarterly, Vol. 28, No. 4, pp. 695-704, 2004. https://doi.org/10.2307/25148660
  69. Venkatesh, V. and Davis, F. D., “A theoretical extension of the technology acceptance model: Four longitudinal field studies,” Management Science, Vol. 46, No. 2, pp. 186-204, 2000. https://doi.org/10.1287/mnsc.46.2.186.11926
  70. Venkatesh, V., Morris, M. G., Davis, G. B., and Davis, F. D., “User acceptance of information technology: Toward a unified view,” MIS Quarterly, Vol. 27, No. 3, pp. 425-478, 2003. https://doi.org/10.2307/30036540
  71. Verkasalo, H., Lopez-Nicolas, C., Molina-Castillo, F. J., and Bouwman, H., "Analysis of users and non-users of smartphone applications," Telematics and Informatics, Vol. 27, No. 3, pp. 242-255, 2010. https://doi.org/10.1016/j.tele.2009.11.001
  72. Yang, H. D. and Choi, I. Y., “The impact of social influence on information systems adoption: An extension to the technology acceptance model,” Asia Pacific Journal of Information Systems, Vol. 11, No. 3, pp. 165-184, 2001.
  73. You, J. H. and Park, C., “A comprehensive review of Technology Acceptance Model Researches,” Entrue Journal of Information Technology, Vol. 9, No. 2, pp. 31-50, 2010.
  74. Yun, S. U., “A study on the acceptance decision factor of IPTV,” Journal of Communication Science, Vol. 9, No. 1, pp. 162-197, 2009.
  75. Zu, H. L. and Lee, J. C., "The effect of cellular phone service quality and switching barrier to customer satisfaction and loyalty in Korean mobile telecommunication market," The Journal of Korea Society of IT Services, Vol. 9, No. 2, pp. 43-72, 2010.

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