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Applied the Technology Acceptance Model to Survey the Mobile-Learning Adoption Behavior in Science Museum

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Cross-Cultural Design. Applications in Health, Learning, Communication, and Creativity (HCII 2020)

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Abstract

The purpose of study is to propose and verify that the extended technology acceptance model can be applied to explain and predict the acceptance of mobile learning in museum. In the study, we try to review and establish the relationship between the external variables and user’s attitude and behavior in museum mobile learning system. According the relationship between the external variables and user’s attitude and behavior, we will do the investigation in our museum for the m-learning system exhibition. We have finished the detail investigation and find the constructs relationship between the external variables and user’s attitude and behavior in museum.

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References

  • Adams, D.A., Nelson, R.R., Todd, P.A.: Perceived usefulness, ease of use, and usage of information technology: a replication. MIS Q. 16, 227–247 (1992)

    Article  Google Scholar 

  • Agarwal, R., Prasad, J.: Are individual differences germane to the acceptance of new information technologies? Decis. Sci. 30(2), 361–391 (1999)

    Article  Google Scholar 

  • Bagozzi, R.P., Davis, F.D., Warshaw, P.R.: Development and test of a theory of technological learning and usage. Hum. Relat. 45(7), 660–686 (1992)

    Article  Google Scholar 

  • Brown, I., Licker, P.: Exploring differences in internet adoption and usage between historically advantaged and disadvantaged groups in South Africa. J. Glob. Inf. Technol. Manage. 6(4), 6–22 (2003)

    Google Scholar 

  • Bruner II, G.C., Kumar, A.: Applying T.A.M.: to consumer usage of handheld Internet devices. J. Bus. Res. 58, 553–558 (2005)

    Article  Google Scholar 

  • Childers, T., Carr, C., Peck, J., Carson, S.: Hedonic and utilitarian motivations foronline retail shopping behaviour. J. Retail. 77(4), 511–535 (2001)

    Article  Google Scholar 

  • Chin, W., Todd, P.: On the use, usefulness, and ease of use of structural equationmodelling in MIS research: a note of caution. MIS Q. 19, 237–246 (1995)

    Article  Google Scholar 

  • Compeau, D.R., Higgins, C.A.: Computer self-efficacy: development of a measure and initial test. MIS Q. 19(2), 189–211 (1995)

    Article  Google Scholar 

  • Coursaris, C., Hassanein, K., Head, M.: M-Commerce in Canada: an interaction framework for wireless privacy. Can. J. Adm. Sci. 20(1), 54–73 (2003)

    Article  Google Scholar 

  • Dabholkar, P., Bagozzi, R.: An attitudinal model of technology-based self-service:moderating effects of consumer traits and situational factors. J. Acad. Mark. Sci. 30(3), 184–201 (2002)

    Article  Google Scholar 

  • Davis, F.D.: Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Q. 13(3), 319–340 (1989)

    Article  Google Scholar 

  • Doll, W.J., Hendrickson, A., Deng, X.: Using Davis’s perceived usefulness andease-of-use instrument for decision making: a confirmatory and multigroup invarianceanalysis. Decis. Sci. 29(4), 839–869 (1998)

    Article  Google Scholar 

  • Eason, K.: Changing perspectives on the organizational consequences of information technology. Behav. Inf. Technol. 20(5), 323–328 (2001). https://doi.org/10.1080/01449290110083585

    Article  Google Scholar 

  • Falk, J.H., Dierking, L.D.: School field trips: assessing their long-term impact. Curator 40(3), 211–218 (1997)

    Article  Google Scholar 

  • Gefen, D., Straub, D.W.: Gender differences in the perception and use of e-mail:an extension to the TAM. MIS Q. 21(4), 389–400 (1997)

    Article  Google Scholar 

  • Hannafin, M., Peck, K. : The Design Development and Evaluation of Instructional Software. MacMillian Publishing, New York (1988)

    Google Scholar 

  • Heijden, H.: Factors influencing the usage of websites: the case of a generic portal in the Netherlands. Inf. Manage. 40(6), 541–549 (2003)

    Article  Google Scholar 

  • Hendrickson, A.R., Massey, P.D., Cronan, T.P.: On the test-retest reliability of perceived usefulness and perceived ease of use scales. MIS Q. 17, 227–230 (1993)

    Article  Google Scholar 

  • Hill, T.R., Roldan, M.: Toward third generation threaded discussions for mobile learning: opportunities and challenges for ubiquitous collaborative environments. Inf. Syst. Front. 7, 55–70 (2005). https://doi.org/10.1007/s10796-005-5338-7

    Article  Google Scholar 

  • Hu, P.J., Chau, P.K., Liu Sheng, O.R., Tam, K.Y.: Examining the TAM using physicianacceptance of technology. J. MIS. 16(2), 91–112 (1999)

    Google Scholar 

  • Igbaria, M., Iivari, J.: The effects of self-efficacy on computer usage. Omega Int. J. Manag. Sci. 23(6), 587–605 (1995)

    Article  Google Scholar 

  • Jyri, N.: Reflections on technology acceptance in higher education (2004). http://is2.lse.ac.uk/asp/aspecis/20040115.pdf. Accessed 5 Dec 2006

  • Mathieson, K.: Predicting user intentions: comparing the TAM with the theory of planned behaviour. Inf. Syst. Res. 2(3), 173–91 (1991)

    Article  Google Scholar 

  • McDermott, K.J., Nafalski, A., Gol, O.: Active learning in the University of South Australia. Front. Educ. Conf. 1(18–21), 18–21 (2000)

    Google Scholar 

  • Moon, J.W., Kim, Y.G.: Extending the TAM for a world-wide-web context. Inf. Manage. 38(4), 217–230 (2001)

    Article  MathSciNet  Google Scholar 

  • O’Cass, A., Fenech, T.: Web retailing adoption: exploring the nature of internet users’ web retailing behavior. J. Retail. Consum. Serv. 10, 81–94 (2003)

    Article  Google Scholar 

  • Quin, C.: Mlearning: mobile, wireless, in – your-pocket learning. LiNE Zine (2001)

    Google Scholar 

  • Revans, R.: The Origins and Growth of Action Learning. Chartwell Bratt, Sweden (1982)

    Google Scholar 

  • Segars, A.H., Grover, V.: Re-examining perceived ease of use and usefulness: a confirmatory factor analysis. MIS Q. 17, 517–525 (1993)

    Article  Google Scholar 

  • Subramanian, G.H.: A replication of perceived usefulness and perceived ease of use measurement. Decis. Sci. 25(5/6), 863–873 (1994)

    Article  Google Scholar 

  • Szajna, B.: Software evaluation and choice: predictive evaluation of the technology acceptance instrument. MIS Q. 18(3), 319–324 (1994)

    Article  Google Scholar 

  • Ting, R.Y.L.: Mobile learning: current trend and future challenges. In: Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies (ICALT 2005)

    Google Scholar 

  • Tornatzky, L.G., Klein, R.J.: Innovation characteristics and innovation adoption-implementation: a meta-analysis of findings. IEEE Trans. Eng. Manag. EM 29, 28–45 (1982)

    Article  Google Scholar 

  • Traxler, J.: Mobile Learning: It’s Here but Where Is It? (2005). http://www2.warwick.ac.uk/services/cap/resources/ineractions/archive/issue25/traxler/. Accessed 5 Dec 2006

  • Venkatesh, V.: Determinants of perceived ease of use: integrating control, intrinsic motivation, and emotion into the technology acceptance model. Inf. Syst. Res. 11(4), 342–365 (2000)

    Article  Google Scholar 

  • Venkatesh, V., Davis, F.D.: A model of the antecedents of perceived ease of use: development and test. Decis. Sci. 27(3), 451–481 (1996)

    Article  Google Scholar 

  • Venkatesh, V., Davis, F.D.: A theoretical extension of the technology acceptance model: four longitudinal field studies. Manag. Sci. 46(2), 186–204 (2000)

    Article  Google Scholar 

  • Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D.: User acceptance of information technology: toward a unified view. MIS Q. 27(3), 425–478 (2003)

    Article  Google Scholar 

  • Wang, Y., Wang, Y., Lin, H., Tang, T.: Determinants of user acceptance of Internet banking: an empirical study. Int. J. Serv. Ind. Manage. 14(5), 501–519 (2003)

    Article  Google Scholar 

  • Yi, M.Y., Hwang, Y.: Predicting the use of web-based information systems:self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. Int. J. H-C Stud. 59(4), 431–449 (2003)

    Google Scholar 

  • Young, S.C., Chung, C.H., Liu, I.F.: An overview of integration of mobile technologies into teaching and learning settings. Instr. Technol. Media 73, 62–76 (2005). (in Chinese)

    Google Scholar 

  • Yu, J., Ha, I., Choi, M., Rho, J.: Extending the TAM for a t-commerce. J. Inf. Manage. 42(7), 965–976 (2005)

    Article  Google Scholar 

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Fan, Cw. (2020). Applied the Technology Acceptance Model to Survey the Mobile-Learning Adoption Behavior in Science Museum. In: Rau, PL. (eds) Cross-Cultural Design. Applications in Health, Learning, Communication, and Creativity. HCII 2020. Lecture Notes in Computer Science(), vol 12193. Springer, Cham. https://doi.org/10.1007/978-3-030-49913-6_23

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  • DOI: https://doi.org/10.1007/978-3-030-49913-6_23

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-49912-9

  • Online ISBN: 978-3-030-49913-6

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