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Traditional Technology Acceptance Model Essay

884 Words4 Pages

Abstract—ERP systems are the largest software applications adopted by universities, along with quite significant investments in their implementation, but as per previous literatures it find that the success rate of such system is low, may be lack of consideration of user role in acceptance of such ICT applications in the education industry. The objective of this study is to test the traditional technology acceptance model (TAM) a framework use to study the various aspects of acceptance of application of ICT, addition to this we used the TAM 2 (Extended Technology Acceptance Model) which can helpful for designing the research framework for Educational ERP System. this will also provide a an analysis of which factors influence the acceptance …show more content…

Population for this research is considered as students. Secondary data gathered by literature review.

The finding of this research is to realize the need of consideration of User role in acceptance of Educational ERP System, Which can effectively change the outlook of Education industry that exists in today's cutthroat business world. It’s to justify that proper consideration these Factors Affecting User Acceptance, which can benefit the growth prospects of any System & its organization.
The conclusion of this study not only forms the basis of an evaluation of previous research and research needs, it also makes inroads in identifying the payoff of ERPs in the education sector from different perspectives with particular reference to the user by providing a conceptual framework of technology acceptance using Extended Technology Acceptance Model
Keywords—Enterprise Resource Planning System, Educational ERP, Implementation, User Acceptance, Critical Success Factors (CSFs), Top Management Support.
1. …show more content…

The goal of TAM2 is a theoretical extension of the Technology Acceptance Model (TAM) to include additional key determinants of TAM that explain perceived usefulness and usage intensions in terms of social influence and cognitive instrumental processes and to understand how the effects of these determinants change with increasing user experience over time with the target system. A better understanding of the determinants of perceived usefulness would enable us to design organizational interventions that would increase user acceptance and usage of new systems

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