Acceptance of Information System Modules in Logistics Program: Perceptions From Logistics and Supply Chain Undergraduate Students

Dazmin Daud, Ong Huey Fang


In most universities, Information System module is embedded into the curriculum for undergraduate logistics and supply chain students. This study applies perceived users towards technology based on the Information System Success Model and intention to use the technology based on the Technology Acceptance Model. Dimensions in these two models are used to study how Information System module influences undergraduate logistics and supply chain student desire to learn it. Data was gathered through questionnaires from 181 logistics and supply chain undergraduate students from a private university. Respondents provided answers by perceiving the user satisfaction, system quality and information quality towards intention to study Information System module. Results indicated that system quality and user satisfaction are positively associated with students’ intention to study. The standardized coefficients for system quality was higher (β = .28) compared to user satisfaction (β = .19) toward intention to use at .05 level. The study implies that improve system quality and user satisfaction in SPA 8i to attract students for learning the module. 


Information system; Logistics; Supply chain management; Higher education; Malaysia

Full Text:



Ahn, T., Ryu, S., & Han, I. (2007). The impact of Web quality and playfulness on user acceptance of online retailing. Information & Management, 44(3), 263-275. doi:

Bai, B., Law, R., & Wen, I. (2008). The impact of Website quality on customer satisfaction and purchase intentions: Evidence from Chienese online visitors. International Journal of Hospitality Management, 27(3), 391-402. doi:

Bharati, P., & Chaudhury, A. (2004). An empirical investigation of decision-making satisfaction in Web-based decision support systems. Decision Support Systems, 37(2) 187-197. doi:

Broadbridge, A. M., Maxwell, G. A., & Ogden, S. M. (2009). Selling retailing to generation Y graduates: Recruitment challenges and opportunities. The International Review of Retail, Distribution and Consumer Research, 19(4), 405-420. doi:

Brown, S. A., Massey, A. P., Montoya-Weiss, M. M., & Burkman, J. R. (2002). Do I really have to? User acceptance of mandated technology. European Journal of Information Systems, 11(4), 283–295. doi: 10.1057/palgrave.ejis.3000438

Cheng, G., & Chau, J. (2016). Exploring the relationships between learning styles, online participation, learning achievement and course satisfaction: An empirical study of a blended learning course. British Journal of Educational Technology, 47(2), 257-278. doi: 10.1111/bjet.12243

Colesca, S. E., & Dobrica, L. (2008). Adoption and use of e-government services: The case of Romania. Journal of Applied Research and Technology, 6(3), 204-217.

Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-340. doi:

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), 982-1003. doi:

DeLone, W. H., & McLean, E. R. (1992). Information system success: The quest for the dependent variable. Information System Research, 3(1), 60-95. doi:

DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30.

DeLone, W. H., & McLean, E. R. (2004). Measuring e-commerce success: Applying the DeLone & McLean information systems success model. International Journal of Electronic Commerce, 19(1), 31-47. doi:

Dineen, B. R., & Noe, R. A. (2009). Effects of customization on application decisions and applicant pool characteristics in a Web-based recruitment context. Journal of Applied Psychology, 94(1), 224-234. doi: 10.1037/a0012832

Eom, S., Ashill, N. Jr., Arbaugh, J. B. & Stapeton, J. L. (2012). The role of information technology in e-learning systems success. Human System Management, 31(3-4), 147-163. doi: 10.3233/HSM-2012-0767

Gardner, S. F. (2006). Preparing for the nexters. American Journal of Pharmaceutical Education, 70(4), 87. doi: 10.5688/aj700487

Goodhue, D. L. (1995). Understanding user evaluations of information systems. Management Science, 41(12), 1827-1844. doi:

Gravier, M. J., & Farris, T. F. (2008). An analysis of logistics pedagogical literature: Past and future trends in curriculum, content, and pedagogy. The International Journal of Logistics Management, 19(2), 233-253. doi:

Han, K. S., & Noh, M. H. (1999). Critical failure factors that discourage the growth of electronic commerce. International Journal of Electronic Commerce, 4(2), 25-43. doi:

Introna, L. D. (1991). The impact of information technology on logistics. International Journal of Physical Distribution & Logistics Management, 21(5), 32-37. doi:

Kumar, S. R., & Balaji, M. S. (2015). Measurement and validation of online financial service quality (OFSQ). Marketing Intelligence & Planning, 33(7), 1004-1026. doi:

Lee, Y. W., Strong, D. M., Kahn, B. K., & Wang, R. Y. (2002). AIMQ: A methodology for information quality assessment. Information & Management, 40(2), 133-146. doi:

Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3) 191-204. doi:

Lewis, I., & Talalayevsky, A. (1997). Logistics and information technology: A coordination perspective. Journal of Business Logistics, 18(1), 141-157.

Liang, T., Lai, H., & Ku, Y. (2007). Personalized content recommendation and user satisfaction: Theoretical synthesis and empirical findings. Journal of Management Information Systems, 33(3), 45-70. doi:

Lin, J. C., & Hsieh, P. (2007). The influence of technology readiness on satisfaction and behavioral intentions toward self-service technologies. Computers in Human Behavior, 23(3), 1597-1615. doi:

Liu, C., & Arnett, K. P. (2000). Exploring the factors associated with Web site success in the context of electronic commerce. Information & Management, 38(1), 22-33. doi:

Lu, I., Kuo, T., & Lee, W. (2010). Examining the effects of information quality on behavioral intention of knowledge management system. Journal of Quality, 17(4), 297-309. doi: 10.1016/

Luarn, P., & Lin, H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873-891. doi:

Lutz, H., & Birou, L. (2013). Logistics education: A look at the current state of the art and science. Supply Chain Management: An International Journal, 18(4), 455-467. doi: 10.1108/SCM-08-2012-0269

Mareschal, P. M., & Rudin, J. P. (2010). E-government versus e-business: A comparison of online recruitment in the public and private sectors. The American Review of Public Administration, 20(10), 1-15. doi: 10.1177/0275074010375573

Maurer, S. D., & Cook, D. P. (2011). Using company Web sites to e-recruit qualified applicants: A job marketing based review of theory-based research. Computers in Human Behavior, 27(11), 106-117. doi:

Meuter, M. L., Ostrom, A. L., Bitner, M. J., & Roundtree, R. (2003). The influence of technology anxiety on consumer use and experiences with self-service technologies. Journal of Business Research, 56(11), 899-906. doi:

Mohamad Noorman, M., Adnan, J., & Sobariah, A. W. (2010). Evaluating academic library portal effectiveness. Library Review, 59(3), 198-212. doi: 10.1108/00242531011031188

Muylle, S., Moenaert, R., & Despontin, M. (2004). The conceptualization and empirical validation of Web site user satisfaction. Information & Management, 41(5), 543-560. doi:

Nicolaou, A. I., & McKnight, D. H. (2006). Perceived information quality in data exchanges: Effects on risks, trust, and intention to use. Information Systems Research, 17(4), 332-351.

Norazah, M. S., & Ramayah, T. (2010). User acceptance of the e-government services in Malaysia: Structural equation modelling approach. Interdisciplinary Journal of Information, Knowledge, and Management, 5, 395-412.

Norshidah, M. (2008). Internal users’ self-assessment of Malaysia’s e-government flagship applications in lead implementation agencies. Public Sector ICT Management Review, 2(1), 13-21.

Norshita, M. N., Halimah, B. Z., & Tengku Mohammad, T. S. (2010). Public user assessment of Malaysia’s e-government applications. World Academy of Science, Engineering and Technology, (67), 813-817.

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). New York: McGraw-Hill.

Ozkan, S., & Koseler, R. (2009). Multi-dimensional students’ evaluation of e-learning systems in the higher education context: An empirical investigation. Computers & Education, 53(4), 1285-1296. doi:

Paulemelone, N. (1990). A theoretical assessment of the user-satisfaction construct in information systems research. Management Science, 36(1), 76-91. doi:

Pickens, J. (2005). Organizational behavior in health care. Jones and Bartlett Publishers, Sudbury, MA, USA.

Ramayah, T., Noor Hazlina, A., & Lo, M. (2010). The role of quality factors in intention to continue using an e-learning system in Malaysia. Procedia—Social and Behavioral Sciences, 2(2), 5422-5426. doi: 0.1016/j.sbspro.2010.03.885

Rao, K., Stenger, A. J., & Wu, H. (1992). Integrating the use of computers in logistics education. International Journal of Physical Distribution & Logistics Management, 22(2), 3-15. doi:

Reisenwitz, T., & Iyer, R. (2009). Differences in generation X and generation Y: Implications for the organization and marketers. The Marketing Management Journal, 19(2), 91-103.

Sambasivan, M., Wemyss, G. P., & Raduan, C. R. (2010). User acceptance of a G2B system: A case of electronic procurement system in Malaysia. Internet Research, 20(2), 169-187. doi: 10.1108/10662241011032236

Sarpong, K., Arthur, J., & Amoako, P. (2013). Causes of failure of students in Computer Programming courses: The teacher learner perspective. International Journal of Computer Applications, 77(12). Online journal. doi: 10.5120/13448-1311

Seddon, P. B., & Kiew, M.-Y. (1996). A partial test and development of Delone and Mclean’s model of IS success. Australian Journal of Information Systems, 4(1), 90-104. doi:

Teo, T., Luan, W. S., & Sing, C. C. (2008). A cross cultural examination of the intention to use technology between Singaporean and Malaysian pre-service teachers: An application of the Technology Acceptance Model (TAM). Educational Technology & Society, 11(4), 265-280.

Tong, Y. K. (2009). A study of e-recruitment technology adoption in Malaysia. Industrial Management & Data Systems, 109(2), 281-300. doi:

Trautrims, A., Defee, C., & Farris, T. (2016). Preparing business students for workplace reality—using global virtual teams in logistics and SCM education. The International Journal of Logistics Management, 27(3), 886-907. doi:

Ucker, S. (2008). E-commerce standard user interface: an E-menu system. Industrial Management & Data Systems, 108(8), 1009-1028. doi:

Turban, E., & Gehrke, D. (2000). Determinants of e-commerce Website. Human Systems Management, 19(2), 111-120.

van der Meijden, M. J., Tange, H. J., Troost, J., & Hasman, A. (2003). Determinants of success of inpatient clinical information systems: A literature review. Journal of the American Medical Informatics Association, 10(3), 235-243. doi: 10.1197/jamia.M1094

Vlachos, P. A., & Vrechopoulos, A. P. (2008). Determinants of behavioral intentions in the mobile internet services market. Journal of Services Marketing, 22(4), 280-291. doi:

Wilson, M., & Gerber, L. E. (2008). How generational theory can improve teaching: Strategies for working with the “Millennials”. Currents in Teaching and Learning, 1(1), 29-44.

Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85-102. doi: 10.1287/isre.1050.0042

Wu, Y. J. (2007). Contemporary logistics education: an international perspective. International Journal of Physical Distribution & Logistics Management, 37(7), 504-528. doi:

Yusliza, M. Y., Ramayah, T., & Haslindar, I. (2010). E-HRM: A proposed model based on technology acceptance model. African Journal of Business Management, 4(13), 3039-3045.

Zviran, M., Glezer, C., & Avni, I. (2006). User satisfaction from commercial Web sites: The effect of design and use. Information and Management, 43(2), 157-178. doi:



  • There are currently no refbacks.

Copyright (c) 2017 Dazmin Daud

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Share us to:   


  • How to do online submission to another Journal?
  • If you have already registered in Journal A, then how can you submit another article to Journal B? It takes two steps to make it happen:

1. Register yourself in Journal B as an Author

  • Find the journal you want to submit to in CATEGORIES, click on “VIEW JOURNAL”, “Online Submissions”, “GO TO LOGIN” and “Edit My Profile”. Check “Author” on the “Edit Profile” page, then “Save”.

2. Submission

  • Go to “User Home”, and click on “Author” under the name of Journal B. You may start a New Submission by clicking on “CLICK HERE”.
  • We only use three mailboxes as follows to deal with issues about paper acceptance, payment and submission of electronic versions of our journals to databases:;;

 Articles published in Canadian Social Science are licensed under Creative Commons Attribution 4.0 (CC-BY).


Address1020 Bouvier Street, Suite 400, Quebec City, Quebec, G2K 0K9, Canada.

Website: Http:// Http://,

Copyright © Canadian Academy of Oriental and Occidental Culture