Keyword

Behavioral Intention, Chinese Higher Secondary Institutions (HEIs), Enterprise Resource Planning (ERP), International Students, Technology Acceptance Model (TAM)

Abstract

This study tries to make a theoretical framework for the use of Enterprise Resource Planning (ERP) system through an empirical study of the explanatory capacity of Technology Acceptance Model (TAM) concerning the intention of use by international students in Chinese HEIs. An online questionnaire yielding 363 valid responses was collected from the international students in Chinese HEIs and the quantitative analysis was performed using the Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM) framework verifying the research model and hypothesis. The statistical analysis evaluated and analyzed the behavioral intentions and patterns, and the consequent factor for the use of the ERP system. The study suggests resource optimization, the trust of the ERP system, perceived ease of use, perceived usefulness, and attitude towards using to have a significant impact on international students’ behavioral intention to use the ERP system. Results from the analysis provide a crucial reference for Chinese HEIs while implementing ERP systems for the management of international students.


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References
  1. Wei, H. (2012). An empirical study on the determinants of international student mobility: A global perspective. High Educ., 66, pp. 105–122. DOI 10.1007/s10734-012-9593-5
  2. UNESCO Institute for Statistics. “Inbound internationally mobile students by continent of origin “. Retrieved 2018-10-15. http://data.uis.unesco.org/index.aspx?queryid=169
  3. ICEF Monitor. “Up and down the table: Growth trends across major international study destinations”. Retrieved 2018-09-29 
  4. https://monitor.icef.com/2018/08/up-and-down-the-table-growth-trends-across-major-international-study-destinations/
  5. Fisher, M.D., (2006). Staff perceptions of an enterprise resource planning system implementation: a case study of three Australian universities. Faculty of Arts, Humanities and Education, Central Queensland University.
  6. Nielsen, J.L., (2005). Critical success factors for implementing an ERP system. In Qualitative case studies on implementation of enterprise wide systems (pp. 211-231). Igi Global.
  7. Kositanurit, B., Ngwenyama, O. and Osei-Bryson, K.M., (2006). An exploration of factors that impact individual performance in an ERP environment: an analysis using multiple analytical techniques. European Journal of Information Systems, 15(6), pp.556-568.
  8. King, P., Kvavik, R.B. and Voloudakis, J., (2002). Enterprise resource planning systems in higher education. Centre for Applied Research Bulletin, 22, pp.1-11.
  9. Soliman, M. and Karia, N., (2015). Higher education competitive advantage: enterprise resource planning systems. Journal of Research in Management & Technology, 5(5).
  10. Basoglu, N., Daim, T. and Kerimoglu, O., (2007). Organizational adoption of enterprise resource planning systems: A conceptual framework. The Journal of High Technology Management Research, 18(1), pp.73-97.
  11. Thavapragasam, X.T., (2003). Cultural influences on ERP implementation success. In Proceedings of the first Australian undergraduate students’ computing Conference (pp. 93-99).
  12. Kvavik, R.B., Goldstein, P.J. and Voloudakis, J., (2005). Good Enough! IT Investment and Business Process Performance in Higher Education. EDUCAUSE.
  13. Vevaina, P.D., (2007). Factors affecting the implementation of enterprise systems within government organisations in New Zealand (Doctoral dissertation, Auckland University of Technology).
  14. Kvavik, R.B., Katz, R.N., Beecher, K., Caruso, J., King, P., Voloudakis, J. and Williams, L.A., (2002). The promise and performance of enterprise systems for higher education. EDUCAUSE Center for Applied Research, 4, pp.1-123.
  15. Chauhan, S. and Jaiswal, M., (2016). Determinants of acceptance of ERP software training in business schools: Empirical investigation using UTAUT model. The International Journal of Management Education, 14(3), pp.248-262.
  16. Kulkarni, A., Hegde, N., Sharma, M., Kulkarni, A.A., Hegde, N. and Sharma, M., (2015). Educational ERP systems in the market–a comparative study. International Journal of Innovative Research Science in Technology, 1(8), pp.84-91.
  17. Soliman, M. and Karia, N., (2016). Enterprise Resource Planning (ERP) Systems in the Egyptian Higher Education Institutions: Benefits, Challenges and Issues. In International Conference on Industrial Engineering and Operations Management, Kuala Lumpur, Malaysia.
  18. Abugabah, A. and Sanzogni, L., (2010). Enterprise resource planning (ERP) system in higher education: A literature review and implications. International Journal of Human and Social Sciences, 5(6), pp.395-399.
  19. China Ministry of Education “Statistical report on international students in China for 2018” Retreived April 18, 2019, http://en.moe.gov.cn/news/press_releases/201904/t20190418_378586.html
  20. Regmi, R. and Zhang, Z., (2016). A Case Study of Inflow of Foreign Students in China and Their Overall Satisfaction. Proceedings of 4th NUAA International Conference for Graduates, Nanjing, 2016 (pp. 48-52).
  21. Masrom, M., (2007). Technology acceptance model and e-learning. Technology, 21(24), p.81.
  22. Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model, International Journal of Electronic Commerce, 7 (3), pp. 101–134.
  23. Pikkarainen, T., Pikkarainen, K., Karjaluoto, H. and Pahnila, S., (2004). Consumer acceptance of online banking: an extension of the technology acceptance model. Internet research, 14(3), pp.224-235.
  24. Hsu, M.H. and Chiu, C.M., (2004). Internet self-efficacy and electronic service acceptance. Decision support systems, 38(3), pp.369-381.
  25. Ervasti, M. and Helaakoski, H., (2010). Case study of application-based mobile service acceptance and development in Finland. International Journal of Information Technology and Management, 9(3), pp.243-259.
  26. Amoako-Gyampah, K. and Salam, A.F., (2004). An extension of the technology acceptance model in an ERP implementation environment. Information & management, 41(6), pp.731-745.
  27. Park, S.Y., (2009). An analysis of the technology acceptance model in understanding university students' behavioral intention to use e-learning. Educational technology & society, 12(3), pp.150-162.
  28. Davis, F.D., (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, pp.319-340.
  29. Nah, F.F.H., (2004). A study on tolerable waiting time: how long are web users willing to wait? Behaviour & Information Technology, 23(3), pp.153-163.
  30. Mathieson, K., Peacock, E. and Chin, W.W., (2001). Extending the technology acceptance model: the influence of perceived user resources. ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 32(3), pp.86-112.