Integrating Information System Success Model (ISSM) And Technology Acceptance Model (TAM): Proposing Students’ Satisfaction with University Web Portal Model

Ismail Olatunji Adeyemi, Abdulwahab Olanrewaju Issa

= http://dx.doi.org/10.20473/rlj.V6-I1.2020.69-79
Abstract views = 841 times | downloads = 588 times

Abstract


 

Background of the study: The web portal is a tool that has been adopted by universities to manage data and information of students and faculty. The portal is an information system as it is driven by information.

Purpose: The study proposes a model of students’ satisfaction with Web portal for the integration of Information System Success Model ISSM and Davis’ Technology Acceptance Model (TAM).

Method: The methodology adopted for this study is the critical review of literature that borders on the constructs and/or variables embedded in ISSM and TAM.

Findings: The study theorizes that information quality, service quality and system quality and perceived usefulness individually determine students’ satisfaction of a Web portal. The study also predicts that all of these variables compositely determine the students’ satisfaction of university Web.

Conclusion: The study established that the “mandatory use” of Web portal does not primarily translate to students’ satisfaction with the portal. This is because whether users are satisfied or not, the onus is still on them to come back to use the portal.


Keywords


Satisfaction; ISSM; TAM; Web Portal; Students

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References


Abugabah, A., Sanzogni, L., & Alfarraj, O. (2010). Evaluating the impact of information systems on end-user satisfaction: A proposed model. International Journal of Advanced Computer Science and Application, 1(1), 22-29.

Adeyemo, S. A., Adedoja, G. O., & Adelore, O. (2013). Mobile technology: Implications of its application on learning. Open Praxis, 5(3), 249-254.

Ajoye, M. B.,& Nwagwu, W. E. (2014). Information systems users’ satisfaction: A survey of the postgraduate school portal, University of Ibadan, Nigeria. Library Philosophy and Practice (e-journal), paper 1192. Retrieved from http://digitalcommons.unl.edu/libphilpract/1192

Akinde, T. A., & Adetimirin, A. A. (2017). Perceived usefulness as a correlate of extent of information and communications technologies (ICTs) use for teaching by library educators in universities in Nigeria. International Journal of Library and Information Science, 9(3), 14-24.

Al-Somali, S. A., Gholami, R., & Clegg, B. (2009). An investigation into the acceptance of online banking in Saudi Arabia. Technovation , 29, 130-141.

Amin, H. (2007). Internet banking adoption among young intellectuals. Journal of Internet Banking and Commerce, 12(3), 1-13.

Au, N., Ngai, E. W. T., & Cheng, T. C. E. (2008). Extending the understanding of end user information systems satisfaction formation: An equitable needs fulfillment model approach. MIS Quarterly, 32(1), 43-66.

Aypay, A., Celik, H. C., Aypay, A., & Sever, M. (2012). Technology Acceptance in Education: A Study ofPre-Service Teachers in Turkey. The Turkish Online Journal of Educational Technology, 11(4), 264-272.

Bhatti, T. (2015). Exploring Factors Influencing the Adoption of Mobile Commerce. Journal of Internet Banking and Commerce, 2(3), 7-15.

Chen, Y. H. (2012). Undergraduates’ perceptions and use of the university libraries web portal: Can information literacy instruction make a difference? Information Systems Research, 5(4), 378-399.

Danila, R., & Abdullah, A. (2014). User’s satisfaction on e-government services: An integrated model. Procedia – Social and Behavioral Science, 164, 574-582.

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

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. (2016). Information systems success measurement. Foundations and Trends in Information Systems, 2(1), 1–116.

Gable, G., Sedera, D., & Chan, T. (2008). Re-conceptualizing information system success: The IS-impact measurement model. Journal of the Association for Information Systems, 9(7), 377-408.

Hsieh, J. J. P. A., & Wang, W. (2007). Explaining employees’ extended use of complex information systems. European Journal of Information Systems, 16(3), 216–227.

Khan, N. A. A., & Siang, L. H. (2014). The effect of perceived usefulness and perceived quality towards the intention to use internet financial reporting in Malaysia. Middle-East Journal of Scientific Research, 21(8), 1357-1364.

Klein, R. (2007). An empirical examination of patient-physician portal acceptance. European Journal of Information Systems, 16(6), 751–760.

Kulkarni, U. R., & Ravindran, S., & Freeze, R. (2006). A knowledge management success model: Theoretical development and empirical validation. Journal of Management Information Systems, 23(3), 309–347.

Leclercq, A. (2007). The perceptual evaluation of information systems using the construct of user satisfaction: case study of a large French group. The DATABASE for Advances in Information Systems, 38(2), 27–60.

Lu, J., Lu, C., Yu, C. S., & Yao, J. E., (2014). Exploring factors associated with wireless internet via mobile technology acceptance in mainland China. Communications of the IIMA, 3(1), 9-15.

Manchanda, A., & Mukherjee, S. (2014). A review of information system success models. International Journal of Innovative Research in Technology and Science, 1(3), 15-18.

Matusiak, K. K. (2012). Perception of usability and usefulness of digital libraries, International Journal of Humanities and Arts Computing, 16(6), 133-147.

Miyamoto, M., Kudo, S., & Iizuka, K. (2012). Measuring ERP success: Integrated model of user satisfaction and technology acceptance: An empirical study in Japan. Journal of Management Information System, 15, 172-185.

Mukherjee, S. (2013). A review of information system success model. International Journal of Innovative Research in Technology and Science, 1(3), 15-18.

Ohk, K., Park, S. B., & Hong, J. W. (2015). The influence of perceived usefulness, perceived ease of use, interactivity, and ease of navigation on satisfaction in mobile application. Advanced Science and Technology Letters, 84, 88-92.

Olaniran, S. O., Duma, M. A. N., & Nzima, D. R. (2017).Assessing the utilization level of e-learning resources among ODL based pre-service teacher trainees. The Electronic Journal of e-Learning, 15(5), 385-395.

Petter, S., DeLone, W., & McLean, E. (2008). Measuring information system success: Models, dimensions, measures, and interrelationship. European Journal of Information Systems, 17, 236-263.

Rabaa'i, A. A. (2009). Assessing Information Systems Success Models: Empirical Comparison (Research in Progress). In Proceedings of the 20th Australasian Conference on Information Systems, 2-4 December 2009, Caulfield Campus, Monash University, Melbourne.

Roses, L. K. (2011). Antecedent of end-user satisfaction with an ERP system in a transnational bank. International Journal of Information Systems and Technology Management, 8(2), 389-406.

Saeed, K. A., & Abdinnour-Helm, S. (2008). Examining the effects of information system characteristics and perceived usefulness on post adoption usage of information Systems. Information & Management, 45(6), 376-386.

Sanusi, N. U. Y., Sanjaya, I. M. G., & Sylvana, A. (2017). UT website user satisfaction improvement model based on perceived usefulness, perceived ease of use, perceived information quality and perceived system quality (case study on page www.makassar.ut.ac.id). Proceedings at the 31st Annual Conference of the Asian Association of Open Universities, 27-29 September 2017, Royal Ambarrukmo Hotel Yogyakarta, Indonesia.

Schroff, R. H., Deneen, C. C., & Ng, E. M. W. (2011). Analysis of the technology acceptance model in examining students’ behavioural intention to use an e-portfolio system. Australasian Journal of Educational Technology, 27(4), 600-618.

Seddon, P. B., & Kiew, K. Y. (1996). A partial test and development of the DeLone and McLean’s model of IS success. American Journal of Information System, 4(1), 90-109.

Sekeran, U., & Bougie, R. (2010). Research Methods for Business: A Skill Building Approach (5th ed.).West Sussex: John Wiley & Sons Ltd., UK.

Sharma, G., Shakya, S., & Kharel, P. (2014). Technology acceptance perspectives on user satisfaction and trust of e-government adoption. Journal of Applied Sciences, 14, 860-872.

Sugianto, L., & Tojib, D. (2006). Modeling user satisfaction with an employee portal. International Journal of Business and Information, 1(2), 239-255.

Tella, A., & Bashorun, M. T. (2012). Undergraduate students’ satisfaction with web portal. International Journal of Web Portal, 4(4), 1-15.

Wu, H. Y., Lin, C. C., Li, O., & Lin, H. H. (2010). A study of bank customers’ perceived usefulness of adopting online banking. Global Journal of Business Research, 4(3), 101-108.

Zhu, D. S., Lee, Z. C., Gwendolyn, O. S., & Chen,Y. H. (2009). The effect of trust and perceived risk on consumers' online purchase intention. Paper presented at the International Conference on Computational Science and Engineering.


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