2014
DOI: 10.4018/ijwp.2014040104
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Student Acceptance of University Web Portals

Abstract: A large number of university web portal's content and design do not meet today's students' expectations and requirements. To address students' expectations, universities spend millions on the redesign and maintenance of their web portals which students say are inadequate and lack basic services. To this end, this study explored the factors that influence students' acceptance of university web portals. It proposed an extension of Davis's (1989) Technology Acceptance Model (TAM) by adding three user related ex… Show more

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Cited by 14 publications
(8 citation statements)
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“…The TAM model establishes causal relationships among the variables of perceived usefulness (PU), perceived ease of use (PEOU), attitude toward using (ATU), and intention to use (IU), including the influence of attitude to using (ATU) and behavioral intention to use (BIU) via perceived usefulness (PU) and perceived ease of use (PEOU) [35][36][37]. However, several studies proposed extending the original TAM model (Davis, 1989) [21] by adding external variables in order to explore the effects of external factors on attitude toward using and behavioral intention to use technology [38,39].…”
Section: Conceptual Framework and Hypotheses Developmentmentioning
confidence: 99%
“…The TAM model establishes causal relationships among the variables of perceived usefulness (PU), perceived ease of use (PEOU), attitude toward using (ATU), and intention to use (IU), including the influence of attitude to using (ATU) and behavioral intention to use (BIU) via perceived usefulness (PU) and perceived ease of use (PEOU) [35][36][37]. However, several studies proposed extending the original TAM model (Davis, 1989) [21] by adding external variables in order to explore the effects of external factors on attitude toward using and behavioral intention to use technology [38,39].…”
Section: Conceptual Framework and Hypotheses Developmentmentioning
confidence: 99%
“…On the other hand, TAM operates on individual performance. Davis (1989) asserted the extension and adding of external variables of original TAM of exploring the impacts of external factors on users' approach (competency) and actual use of technology such as IT Innovativeness, technology readiness, and computer anxiety (Abduljalil & Zainuddin, 2015;Fathema, Shannon, Ross, 2015, Fathema, Ross, Witte, 2014. Previous studies documents usage of some parts of TAM instead of the holistic that is appropriate to the respondent under research (Maldonado, Khan, Moon & Rho, 2011;Wang & Yang, 2005).…”
Section: Research Frameworkmentioning
confidence: 99%
“…Even prior to the rapid developments seen in response to the COVID-19 crisis, numerous studies had documented the variable uptake of learning technologies in universities based on end-users' acceptance levels (Al-Adwan et al, 2013;Fathema et al, 2015;Scherer et al, 2019). In connection with this mentioned research area, many theoretical models have been proposed and applied to examine technology acceptance and usage in education over the last few decades.…”
Section: Technology Acceptance Modelsmentioning
confidence: 99%