An extension of Delone and McLean IS success model with self-efficacy

Abstract

Purpose While many researchers have investigated the adoption and usage of online learning in different settings, one area that has yet to be examined thoroughly, particularly in the context of online learning in Yemen, is the self-efficacy role. The purpose of this paper is to extend the Delone and McLean information system success model by incorporating a self-efficacy construct as an antecedent to user satisfaction and actual usage to predict student performance. Design/methodology/approach Questionnaire survey method was used to collect primary data from 448 students in nine public universities in Yemen. The six constructs in the proposed model were measured using existing scales. The data analysed using confirmatory factor analysis and structural equation modelling via AMOS. Findings Three main results were revealed, namely that overall quality (system, information and service quality) and self-efficacy have a positive impact on user satisfaction and actual usage; that actual usage significantly predicts user satisfaction; and that both user satisfaction and actual usage have a positive impact on student performance. Research limitations/implications First as the study population were students from nine public universities, it excluded academics and administrative staff. Second, the study depends on self-reported measures to test the proposed research model. This is because getting objective data about the performance was not probable due to the issue of privacy. Practical implications The findings of this study can be a guideline for Yemeni higher education institutions to develop efficient and effective plans to improve the performance of education institutions, and train and develop student ability to use online learning. Additionally, it highlights the areas that university management needs to concentrate on, namely information systems (IS) tools that will contribute to higher student enrolment, address the lack of infrastructure and improve the quality of education outcomes, things which represent Yemen’s main challenges in the higher education sector. Originality/value This paper adds to the existing literature of IS by combining overall quality, self-efficacy, actual usage and user satisfaction to predict performance impact of online learning among students in nine public universities in Yemen. Furthermore, the predictive power of the proposed model has a higher ability to explain and predict performance impact compared to those obtained from some of the previous studies.

The Impact of Task Technology Fit on Employee Job Performance

“…Supervisor support is proposed between the relationship of employee intention to adopt technology and employee job performance in such a way that the positive relationship between employee intention to adopt technology and employee job performance will be stronger when supervisory support is higher. Earlier studies have confirmed that supervisor support influence on employee intention to adopt information technology and employee job performance (Aldholay, et al, 2018;Bandura, et al, 1999;Choi, 2004;Makokha & Ochieng, 2014;Samar Rahi & Abd. Ghani, 2018;Tierney & Farmer, 2002;Y.-S. Wang & Liao, 2008;Yu, 2012).…”

Investigating the success of an E-Auction system initiatives among public servants: Validation of an integrated IS success model

“…Navimipour & Soltani (2016) defined user satisfaction as the sum of positive and negative user (subjective) experiences to a particular information system. A previous study from Aldholay et al (2018) established a meaningful relationship between overall quality and user satisfaction with regards to online learning students in Yemeni.…”

“…Prior studies from Alzahrani, Al-Karaghouli, & Weerakkody ( 2017) and Aldholay et al (2018) suggest that the greater the overall quality that consist of system quality, information quality, and service quality of newer technologies, the more likely that these will enhances desires and lifestyles of their users. Montesdioca & Maçada (2015) referred to user satisfaction as the degree to which users confident and believes that a system meets their needs.…”

“…Moreover, the specific correlation of each quality dimensional namely system quality, Aldholay et al (2018), and Sebetci (2018) that there is a positive relationship between compatibility, perceived usefulness, and ease of use and user satisfaction. Therefore, the proposed hypotheses of this study can be described as follows.…”

Examining the Impact of Dubai Smart Government Characteristics on User Satisfaction

“…T AbdelghaffarT &T MagdyT (2012)T[29]T impliesT thatT awarenessT isT theT firstT stepT towardsT usersT knowingT thatT theT governmentT providesT itsT servicesT overT theT InternetT technology.T TheT lackT ofT awarenessT hasT aT negativeT impactT onT citizens'T intentionsT toT adoptT e-governmentT andT m-governmentT servicesT[24].T InT viewT ofT that,T itT canT arguablyT saidT thatT theT lackT ofT awarenessT leadsT toT aT declineT inT interestT inT smartT governmentT services,T andT therebyT users'T satisfaction.Furthermore,T theT qualityT ofT information,T system,T andT servicesT providedT byT smartT governmentT initiativesT areT saidT toT beT havingT aT remarkableT impactT onT endT users'T intentionT toT useT andT theirT satisfactionT[30].T ThisT isT clearlyT evidentT fromT informationT systemT successT modelT developedT byT aT studyT[10].InTaddition,T trustT andT publicT safetyT canT beT concernedT asT aT crucialT determinantT ofT theT satisfactionT ofT beneficiariesT ofT smartT governmentT services.T SmartT CityT IndicatorT surveyT conductedT byT JohnsonT Controls,T pointT outT theT trustT andT publicT safetyT asT oneT ofT theT importantT driversT ofT smartT cityT initiativesT allT overT theT world.T AT modelT ofT trustT andT riskT inT e-governmentT adoption,T whichT wasT proposedT byT [25]T canT beT usedT toT reviewT theT aboveT claim. Finally,T accordingT toT AlmuraqabT &T M.T JasimuddinT (2017)T [24],T socialT influenceT isT theT degreeT toT whichT anT individualT perceivesT importantT thatT otherT peopleT suchT asT familyT andT friendsT believeT heT orT sheT shouldT useT theT newT system.T ItT isT vitalT toT realizeT theT importanceT ofT theT influenceT ofT friendsT andT familyT onT decisionsT toT useT aT technology.T SocialT influenceT isT emergingT asT aT factorT inT theT intentionT toT useT smartT governmentT servicesT asT theT communitiesT areT increasinglyT usedT advancedT ICTsT inT theirT dailyT activities.T Hence,T suchT factorsT canT beT categorizedT asT anotherT dimensionT influencingT theT levelT ofT user'sT satisfactionT overT smartT governmentT servicesT [27].…”