EVALUASI PENERAPAN UNDIKNAS MOBILE: ANALISIS TECHNOLOGY ACCEPTANCE MODEL
Undiknas Mobile is an application to facilitate students in carrying out their education. Based on the Technology Acceptance Model (TAM) with the addition of output quality and social influences this study aims to analyze the application of Undiknas Mobile through user intentions to continue using this system until they graduate from Undiknas University. This study is conducted by carrying a survey of 263 students at Undiknas university and use statistic descriptive as a technique of data analysis. The result of this study is the students have an intention to continue using Undiknas Mobile until they complete their study since they perceived the use and the ease of use of Undiknas Mobile. The output quality that is produced by Undiknas Mobile also accurate. In terms of social influences, it can be seen that only injunctive norm that can influence the users’ intention to use Undiknas Mobile.
K. Hornbæk and M. Hertzum, “Technology Acceptance and User Experience: A Review of the Experiential Component in HCI,” ACM Trans. Comput. Interact., vol. 24, no. 5, pp. 1–30, 2017.
W. R. King and J. He, “A meta-analysis of the technology acceptance model,” Inf. Manag., vol. 43, no. 6, pp. 740–755, 2006.
W. R. King and D. I. Cleland, “Manager-analyst teamwork in MIS. Cooperation vital in systems design,” Bus. Horiz., vol. 14, no. 2, pp. 59–68, 1971.
Schultz, R.L., Slevin, D.P., The Implementation Profile. 1983.
F. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Q., vol. 13, no. 3, pp. 319–340, 1989.
F. D. Davis, “A technology acceptance model for empirically testing new end-user information systems: Theory and results,” Management, vol. Ph.D., no. April, p. 291, 1986.
M. Fishbein and I. Ajzen, Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. United States of America: Addison-Wesley, 1975.
F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models,” Manage. Sci., vol. 35, no. 8, pp. 982–1003, 1989.
V. Venkatesh, F. D. Davis, R. H. Smith, and S. M. Walton, “A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field,” Source Manag. Sci., vol. 46, no. 2, pp. 186–204, 2000.
M. Y. Wu, H. P. Chou, Y. C. Weng, and Y. H. Huang, “TAM2-based study of website user behavior-using web 2.0 websites as an example,” WSEAS Trans. Bus. Econ., vol. 8, no. 4, pp. 133–151, 2011.
F. D. Davis, R. P. Bagozzi, and P. R. Warshaw, “Extrinsic and Intrinsic Motivation to Use Computers in the Workplace,” J. Appl. Soc. Psychol., vol. 22, no. 14, pp. 1111–1132, 1992.
G. Lee and H. Lin, “Customer perceptions of e‐service quality in online shopping,” Int. J. Retail Distrib. Manag., vol. 33, no. 2, pp. 161–176, 2005.
A. D. Beldad and S. M. Hegner, “Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App: A Structural Equation Modeling Approach,” Int. J. Hum. Comput. Interact., vol. 34, no. 9, pp. 882–893, 2018.
R. B. Cialdini and N. J. Goldstein, “Social Influence: Compliance and Conformity,” Annu. Rev. Psychol., vol. 55, no. 1, pp. 591–621, 2004.
S. C. Chen, D. C. Yen, and M. I. Hwang, “Factors influencing the continuance intention to the usage of Web 2.0: An empirical study,” Comput. Human Behav., vol. 28, no. 3, pp. 933–941, 2012.
C. M. K. Cheung, P.-Y. Chiu, and K. O. L. Matthew, “Online social networks: Why do students use facebook?,” Comput. Human Behav., vol. 27, pp. 1337–1343, 2011.
B. Arie Minartiningtyas and I. K. Adi Sumariata, “Rancang Bangun Sistem Informasi Perhitungan Angka Kredit Dosen STMIK STIKOM Indonesia,” SINTECH (Science Inf. Technol. J., vol. 1, no. 1, pp. 41–50, 2018.
W. G. Chismar and S. Wiley-Patton, “Does the extended technology acceptance model apply to physicians,” Proc. 36th Annu. Hawaii Int. Conf. Syst. Sci. HICSS 2003, 2003.
M. K. Lapinski, J. Zhuang, H. Koh, and J. Shi, “Descriptive Norms and Involvement in Health and Environmental Behaviors,” Communic. Res., vol. 44, no. 3, pp. 367–387, 2017.
M. K. Meisel and A. S. Goodie, “Descriptive and injunctive social norms’ interactive role in gambling behavior,” Psychol. Addict. Behav., vol. 28, no. 2, pp. 592–598, 2014.
I. Etikan, “Comparison of Convenience Sampling and Purposive Sampling,” Am. J. Theor. Appl. Stat., vol. 5, no. 1, p. 1, 2016.
Copyright (c) 2019 Ngakan Kutha Krisnawijaya, IGAA Pradnya Dewi
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright in each article belongs to the author.
- The authors admit that SINTECH Journal as a publisher who published the first time under Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License.
- Authors can include writing separately, regulate distribution of non-ekskulif of manuscripts that have been published in this journal into another version (eg sent to respository institution author, publication into a book, etc.), by recognizing that the manuscripts have been published for the first time in SINTECH Journal