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NTIS 바로가기서비스연구 = Journal of service research and studies, v.9 no.2, 2019년, pp.55 - 76
이일구 (광운대학교 일반대학원 경영정보학과) , 김상훈 (광운대학교 일반대학원 경영정보학과)
This study conducted empirical analyses to investigate the factors affecting the intention to use smart home services. Based on the previous relevant studies, the characteristics of smart home service were found to influence on the intention to use smart home service, and four variables(ubiquitous c...
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핵심어 | 질문 | 논문에서 추출한 답변 |
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Fishbein & Ajzen가 이성적 행동이론을 제안한 연구 내용은 어떻게 되는가? | 그들의 연구에 따르면 [Fig. 2-4]에서 보는 바와 같이 개인행동은 그 행동을 수행하려는 개인의 행동의도에 의해서 결정되며, 행동의도는 개인의 행동에 영향을 미치는 태도와 행동과 관련된 주관적 규범에 의해 결정된다고 하였다(Fishbein & Ajzen, 1975). 주관적 규범은 개인이 중요하게 여기는 대부분의 사람들이 어떤 문제에 있어서 개인이 행동을 하거나 하지 않아야 한다는 그들의 지각을 의미하며(Ajzen & Fishbein, 1975; Venkatesh & Davis, 2000), 사회적 영향 또는 사회적 압력으로 표현되기도 한다(Yoh, 1999; Park, J. | |
현대사회는 무슨 시대인가? | 현대사회는 4차 산업혁명 시대로서 정보통신 기술이 매우 빠른 속도로 발전함에 따라 모든 사물들이 인터넷과 모바일을 통해 연결되어 소통하는 사회로 바뀌어 가고 있다. 즉 사람과 사물이 서로 네트워크를 통해 연결된 사물인터넷(Internet of Things, IoT) 의 보급이 매우 빠른 속도로 이루어지고 있다(Lee at al. | |
스마트 홈 서비스는 어떤 서비스인가? | 즉, 스마트폰을 비롯한 스마트 디바이스의 대중화와 인공지능, 사물인터넷 등 다양한 기술의 발전으로 인해 스마트 홈을 비롯한 스마트카, 스마트 헬스케어 등의 스마트 서비스가 등장하게 되었다. 이 중에서도 스마트 홈 서비스는 남녀노소를 불문하고 사용할 수 있는 광범위한 서비스이며, 그 발전 가능성이 무한하다. 스마트 홈 서비스는 우리 생활을 윤택하게 할 것으로 기대되고 있지만, 아직은 모바일 앱을 통해 기기를 조작하는 등의 초기 상용 단계에 머물러있다. |
Agarwal, R., & Karahanna, E. (2000). Time flies when you're having fun: Cognitive absorption and beliefs about information technology usage. MIS quarterly, 665-694.
Agarwal, R., & Prasad, J. (1998). The antecedents and consequents of user perceptions in information technology adoption. Decision support systems, 22(1), 15-29.
Balta-Ozkan, N., Davidson, R., Bicket, M., & Whitmarsh, L. (2013). Social barriers to the adoption of smart homes. Energy Policy, 63, 363-374.
Barclay, Donald, Christopher Higgins, & Ronald Thompson, (1995). The partial least squares (PLS) approach to causal modeling: personal computer adoption and use as an illustration. Technology studies 2.2, pp. 285-309.
Chin, W. W., & Todd, P. A. (1995). On the use, usefulness, and ease of use of structural equation modeling in MIS research: a note of caution. MIS quarterly, 237-246.
Choi, Y. N., (2015), Analysis and Factors of Smart Healthe Care Service on Acceptances and Differences by User's Type.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: a ten-year update. Journal of management information systems, 19(4), 9-30.
Duxbury, L. E., & Higgins, C. A. (1991). Gender differences in work-family conflict. Journal of applied psychology, 76(1), 60.
Falk, R. F., & Miller, N. B. (1992). A primer for soft modeling. University of Akron Press.
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics.
Gartner, G. S. W. P. C. (2017). Services Market to Grow 18 Percent in 2017.
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55.
Jung, D. W. & Ann, H. J., (2015). Impact of the Characteristics of Docent Mobile Apps on User Satisfaction and Intention to Re-use. The Korea Contents Society, 16(1), pp. 329-341.
Jung, J. W., (2018). A Study on the Information Security Factors Affectingof Smart Home IoT Services. The Graduate School of Soongsil University.
Karahanna, E., Straub, D. W., & Chervany, N. L. (1999). Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs. MIS quarterly, 183-213.
Kim, H. S., (2011). A Study on Influencing of the Impact of Factors on the IPTV Interactive Service Adoption to Re-Use Intention : Focused on IPTV Service Quality, The Department of Business Administration Major in Information Media Management. The Graduate School of Kwangwoon University.
Kim, J. D., (2015). The Effect of Art Museum Visitation Experience on Re-visitation Intention According to the Characteristic of Smart Device Application Programs: Focusing on Participatory Visitation Experience. The Graduated School of Chung-Ang University.
Kim, K. H., (2017). A Study on the Factors Affecting Switching Intention of PublicCertificate Storage - Focused on Smart Certificate(USIM)-, Department of Business Administration Graduate School of Soongsil University.
Kim, S. J., (2014). Factors Influencing the Intention to Use Mobile Services in Academic Libraries. Journal of the Korean Biblia Society for Library and Information Science, 25(1). pp. 85-105.
Kim. B. R., (2019). A Study on the Use Intention of Smart-home Service Based on the UTAUT Model : Focused on the Characteristics of the Digital Natives. The Graduate School of Hanyang University.
Kim. G. S. & Jeon. H. J. & Shin. J. W., (2010). Consumers' Smart Grid Acceptance Model: Stuctural Equation Modeling Approach. Korean Energy Economic Review. 9(2). pp. 101-128.
Kim. N, H. & Kim, B, S & Seo, J. H. & Kim, J. K., (2008). A Preferencee Analysis of IT Components for Mobile Banking Service. Jiurnal of Information Technology Services. 7(1), PP89-101.
Ko, Y. K. & Kim, K. H., (2011). Analysis on the Factors that Affect the User's Intention of Reusing Mobile App-based Tourism Contents. The Korea Contents Society, 11(12), p. 844-855.
Koh, G, D., (2014). Mobile Tourism Information Search & Purchase Intent: Integrated Model based on TPB and TAM. Graduate School of Tourism & Hospitality Kyonggi University.
Koo, C. & Y. Wati, (2010), Toward an Understanding of the Mediating Role of Trust in Mobile Banking Service: An Empirical Test of Indonesia Case, Journal of Universal Computer Science, 16(13), pp. 1801-1824.
Lee, J. C., (2018). A study on Influence of Smart Home Characteristics on Intension to Use Based on VAM, TAM Integrated Model. The Graduate School Hansung University.
Lee, M. H & HAN, K. S & Jang J. W & KIM, S. Y., (2019), A Study on the Intention of Using IoT based Smart Home Service ?Focusing on fine dust detection Solutions, Journal of Digital Contents Society 20(1), pp. 135-144.
Lee, S. K., (2005). An Empirical Study on Mobile Technology Adoption based on the Technology Acceptance Model and Theory of Planned Behavior, The Korea Society of Management Information Systems, 7(2), pp. 61-84.
Moore, G.C. and Benbasat.I, (1991), Development of an instrument to measure the preceptions of adopting an information techonogy innovation. Information systems research, 2(3), pp. 192-222.
Oh, J., (2011). A Study on Purchasing Intention of Application using Theory of Reasoned Action, 18(4), pp. 141-163, Korean Corporation Management Association,
Park, J. & H. Joo, (2009). Effect That Hotel Customer's Behavior Beliefs and Subjective Norm get in Attitude and Visit Intention : Laying Stress on Planned Behavior Theory. 21(4), pp. 509-524, Journal of tourism and leisure research,
Parveen, F., & Sulaiman, A. (2008). Technology complexity, personal innovativeness and intention to use wireless internet using mobile devices in Malaysia. International Review of Business Research Papers, 4(5), 1-10.
Patnayakuni, R., Rai, A., & Seth, N., (2006). Relational antecedents of information flow integration for supply chain coordination. Journal of Management Information. Journal of information Technology Services Systems, 23(1), pp. 13-49.
Pitt, L. F. and R. T. W. atson, (1995), Service Quality: A M easure of Inform ation Systems Effectiveness. MIS Quarterly, 19(2), pp. 173-187,
Rai, A., R. Patnayakuni, N. Patnayakuni, (2006). Firm performance impacts of digitally enabled supply chain integration capabilities. MIS Quart. 30(2) pp. 225-246.
Ricker, C., Janse, M. D., Portolan, N. & Streitz, N., (2005). User requirements for intelligent home environments : A scenario-driven approach and empirical cross-cultural study., pp. 111-116. 2005.
Rogers, E. M., (1995). Diffusion of Innovations: modifications of a model for telecommunications. In Die diffusion von innovationen in der telekommunikation (pp. 25-38). Springer, Berlin, Heidelberg.
Seddon, P. B., (1997), A Respecification and Extension of the DeLone and McLean Model of IS Success, Information Systems Research, Vol. 8, No. 3, pp. 240-253.
Shim. D. Y., (2018). The Effect of OTT Service's Quality Characteristics, Users'Characteristics on User Satisfaction, Loyalty, and Continuous Use Intention. The Graduate School of Hanyang University.
Shin, H., (2010). Moderating Effects of Personal Innovativeness on the Relationship between Perceived Usefulness, Subjective Norm and Intention to Use Mobile Internet. The Journal of information systems, 19(3), pp. 209-236.
Shin, M. S., (2016). Effects of expectations for IoT u-health based home care service characteristics in service trust, service satisfaction and intention for future use. Graduate School of Dankook University.
Srite, M. & Karahanna, E., (2006), The role of espoused national cultural values in technology acceptance. MIS quarterly, 30(3), pp. 679-704.
Taylor, S. & Todd, P. A., (1995), Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), pp. 144-176.
Tenenhaus, M., Vinzi, V. E., Chatelin, Y. M. & Lauro, C., (2005). PLS path modeling. Computational statistics & data analysis, 48(1), pp. 159-205.
Venkatesh, V. & Davis, F. D., (1996), A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), pp. 451-481.
Venkatesh, V. and F. D. Davis, (2000), A Theoretical Extension of the Technology Acceptance Model : Four Longitudinal Field Studies, Management Science, 46(2), pp. 186-204.
Venkatesh, V., Morris, M., Davis, G. & Davis, F., (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), pp. 447.
Werts, C. E., Linn, R. L. & Jreskog, K. G. (1974). Intraclass reliability estimates: testing structural assumptions. Educational and Psychological measurement, 34(1), pp. 25-33.
Yoh, E., (1999). Consumer Adoption of the internet for apparel shopping, Ph. D. Dissertation, Iowa State University.
Yu, W. Y., (2018). A Study on Access Control Policy Management between IoT Devices for Smart Home Security. The Graduate School of Chung-Ang University.
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