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dc.contributor.authorSugiarto, Meilan
dc.contributor.authorSoeprapto, Adi
dc.contributor.authorDewanti, Ida Susi
dc.date.accessioned2016-02-29T03:30:08Z
dc.date.available2016-02-29T03:30:08Z
dc.date.issued2015-08
dc.identifier.citationAgarwal, R. dan Prasad, J. 1999. Are individual differences germane to the acceptance of new information technologies ? Decision Sciences. 30 (2) : 361-391. _______, R. 2000. Individual acceptance of information technologies. In Framing the domain of IT Management. Edited by Robert W. Zmud : 85-104. Ajzen, I. 1991. The t heory of planned behaviour, Organisational Behaviour and Human Decision Processes. (50):179–211. Cheong, J.H. dan Park, Myeong-Cheol. 2005. Mobile internet acceptance in Korea. Internet Research. 15 (2):125- 140. Chris Lin, J.S., Hsing-Chi Chang. 2011. The role of technology readiness in self-service technology acceptance. Managing Service Quality. 21 (4): 424-444. Darsono, L.2005. Examining Information technology Acceptance By Individual Profesionals. Gadjah Mada Internasional Journal of Business. (7,2). Davis, F.D. 1989. Perceived usefulness, perceived ease of use, and user acceptance of Information Technology. MIS Quarterly. 13(3): 319–340. Dias, D.S. 1998. Managers’ motivation for using information technology. Industrial Management & Data Systems. 98 (7): 338– 342 Doll, W.J., Hendrickson, A. dan Deng, X. 1998. Using Davis’s perceived usefulness and ease-of-use instruments for decision making: a confirmatory and multi-group invariance analysis. Decision Sciences. 29 (4): 839-69. Fusilier, M. dan Durlabhji, S. 2005. An exploration of student internet use in India : the technology acceptance model and the theory of planned behaviour. Campus-Wide Information Systems. 22 (4):233-246. Hu, J., Chau, Y.K., Sheng, R.L. dan Tam, K.Y. 1999. Examining technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems. 16 (2): 91-112. Lee, Y., Kozar, K.A. dan Larsen, K.R.T. 2003. The technology acceptance model: past, present, and future. Communications of the Association for Information Systems. 12 (50): 752-780. Liljander, V., Gillberg, F., Gummerus, J. dan Van Riel, A. 2006. Technology readiness and the evaluation and adoption of self-service technologies. Journal of Retailing and Consumer Services. 13 (3): 177-91. Lin, C.H., Shih, H.Y. dan Sher, P.J. 2007. Integrating technology readiness into technology acceptance: the TRAM model”, Psychology & Marketing. 24 (7): 641-57. Ming Kuo, K., Liu, C.F., dan Chen-Chung Ma. 2013. An investigation of the effect of nurses technology readiness on the acceptance of mobile electronic medical record systems. BMC Medical Informatics and Decision Making. 13:88. Ndubisi, N.O. dan Jantan, M. 2003. Evaluating IS usage in Malaysian small and medium- sized firms using the technology acceptance model; Logistics Information Management. 16 (6): 440-450. Nunnally, J. C. 1978. Psychometric theory. 2nd ed. McGraw-Hill. New York. USA. Parasuraman, A. 2000. Technology readiness index (TRI): a multiple-item scale to measure readiness to embrace new technologies. Journal of Service Research. 2 (4): 307-20. Sausa, K.J. 2003. Factors Influencing The Adoption Of Electronic Business In The Purchasing Activities Within A Business Organization Using An Extended Technology Acceptance Model. Dissertation. Department of Business Administration. University of Rhode Island. Segars, A.H. dan Grover, V. 1993. Re- examining perceived ease of use and usefulness: a confirmatory factor analysis. MIS Quarterly. 17 (4): 517- 25. Sekaran, U. 1992. Research Methods For Business. Second edition. John Wiley & Sons. Inc. Canada. Seyal, A.H. dan Rahman, N.A. 2007. The influence of external variables on the executives use of the internet. Business Process Management Journal. 13 (2): 263-278. Stoel, L., dan Lee, K.H. 2003. Modeling the effect of experience on student acceptance of Web-based courseware. Internet Research Electronic Networking Application and Policy. 13 (5): 364-374. Sugiyono.(1999). Metode Penelitian Bisnis. Alphabeta, Bandung. Sugiarto, M., Wiendijarti, I., dan Wibowo, R. 2008. Analisis penerimaan usaha kecil menengah terhadap internet berdasarkan technology acceptance model, Studi Pada UKM Eksportir di Propinsi DIY. Laporan Penelitian Unggulan-LPPM UPN Veteran Yogyakarta. _______, M. 2011. Self efficacy dan kesenangan yang dirasakan sebagai variabel antiseden dalam TAM : Studi tentang prilaku penggunaan internet mahasiswa. Laporan Penelitian Hibah Fundamental DP2M Dikti. Teo, T.S.H. 2001. Demographic and motivation variables associated with internet usage activities. Internet Research Electronic Networking Application and Policy. 11 (2): 125- 137. Venkatesh, V., Morris, M.G., Davis,G.B., dan Davis, F.D. 2003. User acceptance of information technology : toward a unified view. MIS Quarterly. 27(3): 425-478. _________,V., dan Davis, F.D. 2000. A Theoretical Extension of the Technology Acceptance Model : Four Longitudinal Field Studies. Management Science. 46(2): 186-204. Walczuch, R., Lemmink, J. dan Streukens, S. 2007. The effect of service employees technology readiness on technology acceptance. Information & Management. 44 (2): 206-15. Wang, Y.S., Wang, Y.M., Lin, H.H. and Tang, T.I. 2003. Determinants of user acceptance of Internet banking: an empirical study. International Journal of Service Industry Management. 14 (5): 501-519.in_ID
dc.identifier.issn2407-9189
dc.identifier.urihttp://hdl.handle.net/11617/6874
dc.description.abstractStudying impact of the external factor on technology acceptance is ones of importance in technology adoption fields. Aims of this research is to investigating the influence of technology readiness on student information technology acceptance model based on TAM (Technology Acceptance Model). Data was collected from 130 student from various university in Yogyakarta which listed in webomatrics. The results of this study show that technology readiness influence several dimension of student information technology acceptance model such as perceived usefulness, perceived ease of use, attitude, behavioralintentions. Based on student technology information use show that many student use internet for collecting information, interface communication, online shopping, and view of them use it for online business.in_ID
dc.language.isoidin_ID
dc.publisherLPPM Universitas Muhammadiyah Semarangin_ID
dc.subjecttechnology readinessin_ID
dc.subjecttechnology informationin_ID
dc.subjecttechnology acceptance modelin_ID
dc.subjectstudentin_ID
dc.titleTechnology Readiness dan Model Penerimaan Teknologi Informasi Mahasiswain_ID
dc.typeArticlein_ID


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