Browse > Article
http://dx.doi.org/10.22156/CS4SMB.2019.9.4.021

A Study of Factors Affecting on the Intention for Continuous Uses of ERP System  

Lee, Seong-Hyo (Division of General Education, Myongji University)
Kim, Kyung-Ihl (Division of Convergence Management, Korea National University of Transportation)
Park, Ji-Young (Consulting Team, SYSWARE CO., Ltd.)
Publication Information
Journal of Convergence for Information Technology / v.9, no.4, 2019 , pp. 21-27 More about this Journal
Abstract
The ERP System is used as a useful tool for corporate management. The ERP system needs to be researched for continued use, taking into account the mandatory acceptance environment. This study was validated through AMOS 18 by setting up a model that adds variables in the mandatory acceptance environment based on prior studies on factors affecting the intended use of ERP system. Analysis shows that the intended use of ERP system users is significantly influenced by user satisfaction and objective usefulness, and that user satisfaction and objective usefulness are significantly affected by the quality of service quality of service. This study suggests that it is important to make users to feel the usefulness and satisfaction of the system through user's prior knowledge and participation. It also says that there is a need to maintain service quality.
Keywords
ERP; Mandatory environment; Objective usefulness; IS Post-Adoption; IS Continuous Use;
Citations & Related Records
연도 인용수 순위
  • Reference
1 D. N. Chorafas, (2001). Integrating ERP, CRM, Supply Chain Management and Smart Materials : CRC Press.
2 C. Sheu, B. Chae & C. L. Yang. (2004). National Differences and ERP Implementation: Issues and Challenges. Omega, 32(5), 361-371. DOI : 10.1016/j.omega.2004.02.001   DOI
3 S. Taylor. & P. A. Todd. (1995). Understanding inforamtion techonology usage: a test of competing models. Infromation Systems Research, 6(2), 144-176. DOI : 10.1287/isre.6.2.144   DOI
4 A. Bhattacherjee. (2001). Understanding inforamtion systems continuance: an expectation-confirmation model. MIS Quarterly, 25(3), 351-370. DOI : 10.2307/3250921   DOI
5 Ministry of SMEs and Startups (2017). Survey on the Information Level of Korean Small and Medium Enterprises. Seoul : Ministry of SMEs and Startups.
6 D. Gefen. & D. W. Straub (2003). Managing user trust in B2C e-services. e-services Journal, 2(2), 7-24. DOI : 10.2979/ESJ.2003.2.2.7   DOI
7 S. Ha. & L. Stoel. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Jounal of Business Research, 62(5), 565-571. DOI : 10.1016/j.busres.2008.06.016
8 G. Chang. & L. Caneday. (2011). Web-based GIS in tourism information search: perceptions, tasks, and trip attributes. TourismManagement, 32(6), 1435-1437. DOI : 10.1016/j.tourman.2011.01.006   DOI
9 F. D. Davis. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. DOI : 10.2307/249008   DOI
10 C. S. Lin., S. Wu. & R. J. Tsai. (2005). Integrating perceived playfulness into expectation-confirmation model for web portal context. Information and Management, 42(5), 683-693. DOI : 10.1016/j.im.2004.04.003   DOI
11 P. B. Seddon. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240-253. DOI : 10.1287/isre.8,3,240   DOI
12 V. Venkatesh. & F. D. Davis. (2000). A theoretical extension of the technology acceptance. Management Science, 46(2), 186-204. DOI : 10.1287/mnsc.46.2.186.11926   DOI
13 T. M. Lee. & C. Park. (2008). Mobile technology usage and B2B market performance under mandatory adoption. Industrial Marketing management, 37(7), 833-840. DOI : 10.1016/j.indmarman.2008.02.008   DOI
14 N. Gorla. & T. M. Somers & B. Wong. (2010). Organizational Impact of System Quality, Information Quality, and Service Quality. The Journal of Strategic Information Systems, 19(3), 207-228. DOI : 10.1016/j.jsis.2010.05.001   DOI
15 L. F. Pitt. & R. T. Watson. & C. B. Kavan. (1995). Service quality: a measure of information systems effectiveness. MIS Quarterly, 19(2), 173-187. DOI : 10.2307/249687   DOI
16 C. C. Chen., L. Chuck. & C. Y. Samuel. (2009). Managing ERP implementation failure: A project management perspective. IEEE Transaction on Engineering Management, 56(1), 157-170. DOI : 10.1109/TEM.2008.2009802   DOI
17 H. Y. Lee, Y. K. Lee & D. Kwon. (2005). The intention to use computerized reservation systems: the moderating effects of organizational support and supplier incentive. Journal of Business Research, 58(11), 1552-1561. DOI : 10.1016/j.jbusres.2004.07.008   DOI
18 D. J. Kim. (2012). An investigation of the effect of online consumer trust on expectation, satisfaction, and post-expectation, Information Systems and e-Business Management, 10(2), 219-240. DOI : 10.1007/s10257-010-0136-2   DOI
19 R. P. Bagozzi. & Y. Yi. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94. DOI : 10.1007/BF02723327   DOI