The Determinants of User Behavior of Computer Based Transaction Processing Systems: The Case of Minimarket Employees in Padang, Indonesia
Keywords:Technology Acceptance Model (TAM), User Behavior of Computer Based Transaction Processing System.
This study was aimed to investigate the determinants of actual use of computer based transaction processing system among employees in minimarkets in Padang, Indonesia. In addition to Perceived ease of use and perceived usefulness which are the basic models of Technology Acceptance Model (TAM), Subjective norm was conceptualized as an external variable that affecting Technology Acceptance among users of transaction processing system. In total, 246 employees participated in this study. The results show that the perceived ease of use positively affects Perceived Usefulness and Attitude. Furthermore, perceived usefulness and subjective norm have positively affected on Attitude. Likewise Attitude has positively affected on Actual Use. This study reveals that employees tend to comply the peersâ€™ opinion on using transaction processing system. For future research is expected to expand the TAM model by adding external variables and individual characteristics as a moderator variable
 Mahar, E. F. (2003). Role of Information Technology in Transaction Processing System. Pakistan Journal of Information and Technology, 2(2), 128â€“134. https://doi.org/10.3923/itj.2003.128.134
 Vlahos, G. E., Ferratt, T. W., & Knoepfle, G. (2004). The use of computer-based information systems by German managers to support decision making. Information and Management, 41(6), 763â€“779. https://doi.org/10.1016/j.im.2003.06.003
 Davis, F. (1989). Perceived Usefulness, Perceived Ease Of Use, And User Accep. MIS Quarterly, 13(3), 319. https://doi.org/10.2307/249008
 Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology : a Comparison of Two Theoretical Models *. Management Science, 35(8), 982â€“1003.
 Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications, 9(3), 209â€“216. https://doi.org/10.1016/j.elerap.2009.07.005
 Taylor, S., & Todd, P. A. (1995b). Understanding information technology usage: A test of competing models. Information Systems Research. https://doi.org/10.1287/isre.6.2.144
 Fishbein, M. & Ajzen, I. (1975). Belief, attitude, attitude, intention and behavior: An introduction to theory of research. Reading, MA : Addison-Wesley Addison-Wesley, 578.
 Venkatesh, Viswanath., Davis, F. D. (2000). Theoretical Acceptance Extension Model : Field Four Studies of the Technology Longitudinal. Management Science, 46(2), 186â€“204. https://doi.org/10.1287/mnsc.184.108.40.20626
 Wei, W. C. (2009). A technology acceptance model: Mediate and moderate effect. Asia Pacific Management Review, 14(4), 461â€“476.
 Wallace, L. G., & Sheetz, S. D. (2014). Information & Management The adoption of software measures : A technology acceptance model ( TAM ) perspective. Information & Management, 51(2), 249â€“259. https://doi.org/10.1016/j.im.2013.12.003
 Fathema, N., Shannon, D., & Ross, M. (2015). Expanding The Technology Acceptance Model ( TAM ) to Examine Faculty Use of Learning Management Systems ( LMSs ) In Higher Education Institutions. MERLOT Journal of Online Learning and Teaching, 11(2), 210â€“232. https://doi.org/10.12720/joams.4.2.92-97
 Venkatesh Viswanath ; Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273â€“315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
 Natarajan, T., Balasubramanian, S. A., & Kasilingam, D. L. (2017). Understanding the intention to use mobile shopping applications and its influence on price sensitivity. Journal of Retailing and Consumer Services, 37, 8â€“22. https://doi.org/10.1016/j.jretconser.2017.02.010
 Cheng, Y. M. (2015). Towards an understanding of the factors affecting m-learning acceptance: Roles of technological characteristics and compatibility. Asia Pacific Management Review, 1â€“11. https://doi.org/10.1016/j.apmrv.2014.12.011
 Darsono, L. I. (2005). Examining Information Technology Acceptance by Individual Professionals. Gadjah Mada International Journal of Business, 7(2), 155â€”178.
 Premkumar, G., & Bhattacherjee, A. (2008). Explaining information technology usage: A test of competing models. Omega, 36, 64â€“75. https://doi.org/10.1016/j.omega.2005.12.002
 Hsu, M. H., & Chiu, C. M. (2004). Predicting electronic service continuance with a decomposed theory of planned behaviour. Behaviour and Information Technology, 23(5), 359â€“373. https://doi.org/10.1080/01449290410001669969/10.1108/APJML-06-2013-0061
 Macedo, I. M. (2017). Predicting the acceptance and use of information and communication technology by older adults: An empirical examination of the revised UTAUT2. Computers in Human Behavior, 75. https://doi.org/10.1016/j.chb.2017.06.013
 Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2017). Re-examining the Unified Theory of Acceptance and Use of Technology (UTAUT): Towards a Revised Theoretical Model. Information Systems Frontiers, 1â€“16. https://doi.org/10.1007/s10796-017-9774-y.
 Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer Acceptance And Use of Information Technology: Extending The Unified Theory of Acceptance and Use of Technology. Forthcoming in MIS Quarterly, Vol. 36, No. 1 (2012), Pp. 157-178, 36(1), 157â€“178.
 Wu, B., & Chen, X. (2016). Continuance intention to use MOOCs: Integrating the technology acceptance model (TAM) and task technology fit (TTF) model. Computers in Human Behavior, 67, 221â€“232. https://doi.org/10.1016/j.chb.2016.10.028
 Hair, J. F., Black. W. C., Babin. B. J.; and Anderson. R. E. (2010), Multivariate Data Analysis, 7th ed. Pearson Prentice Hall, New Jersey.
 Erasmus, E., Rothmann, S., & Van Eeden, C. (2015). A structural model of technology acceptance. SA Journal of Industrial Psychology, 41(1), 1â€“12. https://doi.org/10.4102/sajip.v41i1.1222
 Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2013). Technology acceptance model ( TAM ) and social media usage : an empirical study on Facebook. https://doi.org/10.1108/JEIM-04-2012-0011
 Giovanis, A. N., Binioris, S., & Polychronopoulos, G. (2012). An extension of TAM model with IDT and security/privacy risk in the adoption of internet banking services in Greece. EuroMed Journal of Business, 7(1). https://doi.org/10.1108/14502191211225365
 Ayeh, J. K. (2015). Travelers acceptance of consumer-generated media: An integrated model of technology acceptance and source credibility theories. Computers in Human Behavior, 48, 173â€“180. https://doi.org/10.1016/j.chb.2014.12.049
 Taylor, S., & Todd, P. (1995a). Assessing IT Usage: The Role of Prior Experience. MIS Quarterly, 19(4), 561. https://doi.org/10.2307/249633
 Bashir, I., & Madhavaiah, C. (2015). Consumer attitude and behavioral intention towards Internet banking adoption in India. Journal of Indian Business Research, 7(1), 67â€“102. https://doi.org/10.1108/JIBR-02-2014-0013
 Alsamydai, M. J. (2014). Adaptation of the Technology Acceptance Model (TAM) to the Use of Mobile Banking Services. International Review of Management and Business Research, 3(4), 2016â€“2028. Retrieved from www.irmbrjournal.com
 Afshan, S., & Sharif, A. (2016). Acceptance of mobile banking framework in Pakistan. Telematics and Informatics, 33(2). https://doi.org/10.1016/j.tele.2015.09.005
 Chaouali, W., Ben Yahia, I., & Souiden, N. (2016). The interplay of counter-conformity motivation, social influence, and trust in customersâ€™ intention to adopt Internet banking services: The case of an emerging country. Journal of Retailing and Consumer Services, 28, 209â€“218. https://doi.org/10.1016/j.jretconser.2015.10.007
 Moshki, M. K., Teimouri, H., & Ansari, R. (2013). A Survey on the Level of Organization Agility and Proposition of a Comprehensive Model (the Case of Nir Pars Company). International Journal of Human Resource Studies, 3(3), 62. https://doi.org/10.5296/ijhrs.v3i3.4271
 Gao, Lingling and Bai, Xuesong, (2014). A Unified perspective on the factors influencing consumer acceptance of internet of things technology, Asia Pacific Journal of Marketing and Logistics, 26(2), 211 - 231. http://dx.doi.org
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