최소 단어 이상 선택하여야 합니다.
최대 10 단어까지만 선택 가능합니다.
다음과 같은 기능을 한번의 로그인으로 사용 할 수 있습니다.
NTIS 바로가기한국전자거래학회지 = The Journal of Society for e-Business Studies, v.25 no.1, 2020년, pp.135 - 176
정만수 (College of Engineering, Graduate School of Technology Policy) , 홍대식 (College of Engineering, Department of Electrical and Electronic Engineering) , 지용구 (College of Engineering, Department of Industrial Engineering)
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 ...
핵심어 | 질문 | 논문에서 추출한 답변 |
---|---|---|
주변 사람들과 즉시적, 지속적 관계를 유지하기 위한 사회적 영향력은 무엇으로도 이해할 수 있는가? | 근래 사회적 네트워크의 증폭으로 인한 대인 간 커뮤니케이션이 매우 밀접하게 촉진되고 있기 때문에 주변 사람들과 즉시적, 지속적 관계를 유지하기 위한 사회적 영향력이 강조되고 있다. 이는 다른 사람들과 차별화되고 싶은 과시 또는 상징의 욕구로도 이해할 수 있다[12]. | |
사회적 영향력이란? | 사회적 영향력은 이용자가 사회적 관계 속에서 서로 간의 행위에 의해 영향을 주고받는 정도로 정의하였다[62]. 새로운 제품에 대한 사용 경험이 없거나 잘 알지 못하는 제품을 구매하게 되는 경우에 주변 사람의 영향을 많이 받게 된다 하였다[21]. | |
개인 혁신성이란? | 개인 혁신성은 같은 사회체계에 속한 사회구성원이 다른 구성원보다 먼저 새로운 정보기술을 수용하려는 정도로 정의하였다[45]. Rogers[63]는 혁신성은 확산 과정을 형성하는 필수적 행동 요인이며 혁신성을 근거로 사회체계의 구성원을 분류하여, 혁신성이 강한 사용자일수록 조기 채택자의 욕구가 강하게 나타난다고 주장하였다. |
5G Service Roadmap 2022(Technical Report), TTA, TTAR-06.0190, 2017. 11.
5G+ Strategy to Realize Innovative Growth, Ministry of Science and ICT, 2019. 4.
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.
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.
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.
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.
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.
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.
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.
Bandura, A., "Social foundations of thought and action: A social cognitive theory," Prentice-Hall, Inc, 1986.
Bass, F., "A new product growth for model consumer durables," Management Science, Vol. 15, pp. 215-227, 1969.
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.
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.
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.
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.
Datanet News, http://www.datanet.co.kr/news/articleView.html?idxno123685, 2018. 6.
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.
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.
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.
Fishbein, M. and Ajzen, I., "Belief, attitude, intention and behavior: An introduction to theory and research," Reading, MA: Addison-Wesley, 1975.
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.
Fitzsimmons, J. A. and Sullivan, R. S., "Service Operations Management," NY, Mcgraw-Hill, Inc., 1982.
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.
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.
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.
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.
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.
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.
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.
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.
Kim, D. W., "Core Infrastructure in the Fourth Industrial Revolution, 5G," KISDI Premium Report, Vol. 17, No. 06, pp. 1-16, 2017. 06. 14
Kim, G. J., "The study on constructing acceptance model of digital multimedia broadcasting," dissertation, The Graduate School of Sogang University, 2007.
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.
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.
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.
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.
Kim, W. P., "Basic statistics analysis," Wisein Company, 2017.
Kim, W. P,, "Structural equation model analysis," Wisein Company, 2017.
Kwon, G. B., 5G Mobile Standardization Trend, Weekly Technology Trend of IITP, https://www.itfind.or.kr jugidong file9363564664778516-189701, 2019. 5. 22.
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.
Kwon, O. J., “An empirical study on potential smartphone users,” Internet and Information Security, Vol. 1, No. 1, pp. 55-83, 2010.
Kwon, Y. S., "Study of the effect of the adoption and sustainable use of mobile devices," Doctorial Dissertation, The Graduate School Hansung University, 2013.
Leavitt, C. and Walton, J., "Development of a scale for innovativeness," Advances in Consumer Research, Vol. 2, pp. 545-554, 1975.
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.
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.
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.
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.
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.
Mobile telecommunication subscribers statistics as of 2019. 10, Ministry of Science and ICT.
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.
Nam, C. H., “A study on factors influencing DMB adoption,” Journal of Communication Science, Vol. 7, No. 2, pp. 143-188, 2007.
New Daily Business, http://biz.newdaily.co.kr/site/data/html/2019/12/02/2019120200164.html, 2019. 12. 02.
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.
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.
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.
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.
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.
Recommendation ITU-R M.2083-0. IMT Vision-Framework and Overall Objectives of the Future Development of IMT for 2020 and Beyond, 2015. 9.
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.
Rogers, E., Diffusion of innovations(5th), New York, NY: Free Press, 2003.
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.
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.
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.
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.
Van der Heijden, H., “User acceptance of hedonic information systems,” MIS Quarterly, Vol. 28, No. 4, pp. 695-704, 2004.
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.
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.
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.
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.
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.
Yun, S. U., “A study on the acceptance decision factor of IPTV,” Journal of Communication Science, Vol. 9, No. 1, pp. 162-197, 2009.
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.
*원문 PDF 파일 및 링크정보가 존재하지 않을 경우 KISTI DDS 시스템에서 제공하는 원문복사서비스를 사용할 수 있습니다.
오픈액세스 학술지에 출판된 논문
※ AI-Helper는 부적절한 답변을 할 수 있습니다.