Browse > Article
http://dx.doi.org/10.13106/jafeb.2020.vol7.no10.1007

Understanding the Employee's Intention to Use Information System: Technology Acceptance Model and Information System Success Model Approach  

MARTONO, S. (Faculty of Economics, Universitas Negeri Semarang)
NURKHIN, Ahmad (Faculty of Economics, Universitas Negeri Semarang)
MUKHIBAD, Hasan (Faculty of Economics, Universitas Negeri Semarang)
ANISYKURLILLAH, Indah (Faculty of Economics, Universitas Negeri Semarang)
WOLOR, Christian Wiradendi (Faculty of Economics, Universitas Negeri Jakarta)
Publication Information
The Journal of Asian Finance, Economics and Business / v.7, no.10, 2020 , pp. 1007-1013 More about this Journal
Abstract
This study aims to understand the determinant of the employee's intention to use information system within the framework of the Technology Acceptance Model (TAM) and Information System Success Model (ISSM). This paper also aims to examine the influence of ISSM dimension on the perceived usefulness and the perceived ease of use. The research respondents were 248 employees of Universitas Negeri Semarang (UNNES) who are users of the Financial Information System (SIKEU). Data was obtained using a questionnaire that was distributed online via Google form. The data analysis method used is Structural Equation Model (SEM) analysis using the Warp-PLS software. The results showed that the dimensions of TAM (perceived ease of use and perceived usefulness) had a positive and significant influence on the employee's intention to use SIKEU. The ISSM dimension (system quality and information quality) also had a significant influence, although other ISSM dimensions (service quality) had not been proven to have a significant influence on the employee's intention to use SIKEU. Moreover, the results showed that the employee's intention to use is a determinant of SIKEU's actual usage. Perceived ease of use was significantly determined by system quality, information quality, and service quality. In addition, the perceived usefulness was significantly determined by system quality and information quality.
Keywords
Technology Acceptance Model; Information System Success Model; Financial Information System; Employee's Intention;
Citations & Related Records
Times Cited By KSCI : 10  (Citation Analysis)
연도 인용수 순위
1 Kardoyo, K., Nurkhin, A., & Arief, S. (2015). The determinants of student's intention to use mobile learning. PEOPLE: International Journal of Social Sciences, Special Issue, 102-117.
2 Kesharwani, A., & Bisht, S. S. (2012). The impact of trust and perceived risk on internet banking adoption in India: An extension of technology acceptance model. International Journal of Bank Marketing, 30(4), 303-322. https://doi.org/10.1108/02652321211236923   DOI
3 Kim, J. (2016). An extended technology acceptance model in behavioral intention toward hotel tablet apps with moderating effects of gender and age. International Journal of Contemporary Hospitality Management, 28(8), 1535-1553. https://doi.org/10.1108/IJCHM-06-2015-0289   DOI
4 Kim, T., & Chiu, W. (2018). Consumer acceptance of sports wearable technology: The role of technology readiness. International Journal of Sports Marketing and Sponsorship, 20(1), 109-126 https://doi.org/10.1108/IJSMS-06-2017-0050   DOI
5 Le, H. B. H., Ngo, C. T., Trinh, T. T. H., & Nguyen, T. T. P. (2020). Factor affecting customers' decision to use mobile banking service: A case of Thanh Hoa province, Vietnam. Journal of Asian Finance, Economics and Business, 7(2), 205-212. https://doi.org/10.13106/jafeb.2020.vol7.no2.205   DOI
6 Le, Q. B., Nguyen, M. D., Bui, V. C., Mai, T., & Dang, H. (2020). The Determinants of management information systems effectiveness in small- and medium-sized enterprises. Journal of Asian Finance, Economics and Business, 7(8), 567-576. https://doi.org/10.13106/jafeb.2020.vol7.no8.567   DOI
7 Lestari, N. N., & Indrasari, S. Y. (2019). Teachers' adoption of 1 : 1 iPad implementation in the classroom The role of efficacy and perceived impact. Interactive Technology and Smart Education, 16(3), 278-299. https://doi.org/10.1108/ITSE-06-2018-0041
8 Lin, H. F. (2013). The effect of absorptive capacity perceptions on the context-aware ubiquitous learning acceptance. Campus-Wide Information Systems, 30(4), 249-265. https://doi.org/10.1108/CWIS-09-2012-0031   DOI
9 Ma, H. (2020). Building the training system of physical education innovation ability in higher vocational colleges based on computer information technology. Journal of Physics: Conference Series, 1578, 012064. https://doi.org/10.1088/1742-6596/1578/1/012064
10 Martono, S., Mukhibad, H., Anisykurlillah, I., & Nurkhin, A. (2020). Evaluation of acceptance of information systems in state university with theory of planned behavior and theory of acceptance model approaches. Management Science Letters, 10(4), 3225-3234. https://doi.org/10.5267/j.msl.2020.6.016
11 Masrek, M. N., & Gaskin, J. E. (2016). Assessing users satisfaction with web digital library: The case of Universiti Teknologi MARA. The International Journal of Information and Learning Technology, 33(1), 36-56. https://doi.org/10.1108/IJILT-06-2015-0019
12 Muhsin, T. P., & Nurkhin, A. (2016). Intention to use E-Journal; A unified theory of acceptance and use of technology perspective. IOSR Journal of Research & Method in Education, 6(4), 100-106. https://doi.org/10.9790/7388-060404100106
13 Nguyen, O. T. (2020). Factors affecting the intention to use digital banking in Vietnam. Journal of Asian Finance, Economics and Business, 7(3), 303-310. https://doi.org/10.13106/jafeb.2020.vol7.no3.303   DOI
14 Nguyen, X. T., & Luu, Q. K. (2020). Factors affecting adoption of industry 4.0 by small-and medium-sized enterprises: A case in Ho Chi Minh city, Vietnam. Journal of Asian Finance, Economics and Business, 7(6), 255-264. https://doi.org/10.13106/jafeb.2020.vol7.no6.255   DOI
15 Schöpfel, J., Azeroual, O., & Saake, G. (2019). Implementation and user acceptance of research information systems; An empirical survey of German universities and research organisations. Data Technologies and Applications. https://doi.org/10.1108/DTA-01-2019-0009
16 Pal'Ova, D., Vejacka, M., & Kakalejcik, L. (2020). Project-based learning as a tool of enhancing of entrepreneurial attitude of students. Advances in Science, Technology and Engineering Systems, 5(1), 346-354. https://doi.org/10.25046/aj050144
17 Park, E., & Kwon, S. J. (2016). The adoption of teaching assistant robots: A technology acceptance model approach. Program, 50(4), 354-366. https://doi.org/10.1108/PROG-02-2016-0017   DOI
18 Samsudeen, S. N. (2019). University students' intention to use e-learning systems. Interactive Technology and Smart Education, 16(3), 219-238. https://doi.org/10.1108/ITSE-11--2018-0092   DOI
19 Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425-478. https://doi.org/10.2307/30036540   DOI
20 Wu, C., & Wu, P. (2019). Investigating user continuance intention toward library self-service technology. Computer Science, 37(3), 401-417. https://doi.org/10.1108/LHT-02-2018-0025
21 Yadav, R., Chauhan, V., & Pathak, G. S. (2015). Intention to adopt internet banking in an emerging economy: A perspective of Indian youth. International Journal of Bank Marketing, 33(4), 530-544. https://doi.org/10.1108/IJBM-06-2014-0075   DOI
22 Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-339. https://doi.org/10.2307/249008   DOI
23 Ahmed, E., & Akhlaq, A. (2015). Digital commerce in emerging economies: Factors associated with online shopping intentions in Pakistan. International Journal of Emerging Markets, 10(4), 634-647. https://doi.org/10.1108/IJoEM-01-2014-0051   DOI
24 Byun, S. (2018). Evaluating information technology systems using consumer surveys: The role of personal product knowledge. Journal of Asian Finance, Economics and Business, 5(4), 117-125. https://doi.org/10.13106/jafeb.2018.vol5.no4.117   DOI
25 Cahyono, A. N., & Munawar, A. (2020). UNNES MOOCs: What strengths does the University have and the society needs? Journal of Physics: Conference Series, 1567(3). https://doi.org/10.1088/1742-6596/1567/3/032026
26 Camilleri, M. A., & Camilleri, A. C. (2019). The students' readiness to engage with mobile learning apps. Interactive Technology and Smart Education. https://doi.org/10.1108/ITSE-06-2019-0027
27 Chen, J. F., Chang, J. F., Kao, C. W., & Huang, Y. M. (2016). Integrating ISSM into TAM to enhance digital library services: A case study of the Taiwan digital meta-library. Electronic Library, 34(1), 58-73. https://doi.org/10.1108/EL-01-2014-0016   DOI
28 DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information Systems Research, 3(1), 60-95. https://doi.org/10.1287/isre.3.1.60   DOI
29 DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success. Journal of Management Information Systems, 19(4), 9-30. https://doi.org/10.1080/07421222.2003.11045748   DOI
30 Fang, Y. H., Chiu, C. M., & Wang, E. T. G. (2011). Understanding customers' satisfaction and repurchase intentions. Internet Research, 21(4), 479-503. https://doi.org/10.1108/10662241111158335   DOI
31 Hameed, A., Ramzan, M., Zubair, H. M. K., Ali, G., & Arslan, M. (2014). Impact of compensation on employee performance (Empirical evidence from banking sector of Pakistan). International Journal of Business and Social Science, 5(2), 302-309.
32 Huang, Y. M., Pu, Y. H., Chen, T. S., & Chiu, P. S. (2015). Development and evaluation of the mobile library service system success model: A case study of Taiwan. The Electronic Library, 33(6), 1174-1192.   DOI