Computer attitude, statistics anxiety and self-efficacy on statistical software adoption behavior: An empirical study of online MBA learners

Hsu, Maxwell K.; Wang, Wen‐Hung; Chiu, Kevin Kuan‐Shun

doi:10.1016/j.chb.2008.10.003

Cited by 133 publications

(124 citation statements)

References 49 publications

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“…Individuals that possess high computer SE beliefs tend to be more persistent when facing usage problems and they are more determined computer users (Compeau & Higgins, 1995). The literature suggests that the computer SE beliefs influence all of the TAM's constructs: BIU (e.g., Teo, 2009), ATU (e.g., Macharia & Pelser, 2014), and PU (e.g., Hsu, Wang, & Chiu, 2009). Consequently, in this study, the TAM was extended by including SE as another construct.…”

Section: Technology Acceptance Model and Self-efficacy Beliefsmentioning

confidence: 99%

Pre-Service Teachers’ Intention to Use MUVEs as Practitioners – A Structural Equation Modeling Approach

Fokides

2017

JITE:Research

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Aim/PurposeThe study examines the effectiveness of university courses in shaping preservice teachers' intention to use 3D multi-user virtual environments (MUVEs) when they become practicing teachers. Background Four variables (perceived usefulness, perceived ease of use, self-efficacy, and attitude toward use), as well as behavioral intention to use MUVEs, were used to build a research model that extended the Technology Acceptance Model, and structural equation modeling was used for parameter estimation and model testing. Methodology Self-reported data was gathered from 325 pre-service teachers studying at the Department of Primary School Education at the University of the Aegean in Greece. ContributionThe study demonstrated the applicability of the TAM as a model that can adequately explain pre-service teachers' intention to use MUVEs as practicing teachers. FindingsResults analyses revealed a good model fit and, overall, 64% of the variance in behavioral intention was explained. Perceived usefulness and perceived ease of use were the most influential factors. Recommendations for PractitionersIn order to increase the odds of a successful use of MUVEs in educational settings, institutions need to address specific organizational factors that will positively influence pre-service teachers' intentions to use them and provide experiences relevant to that technology. Also, more emphasis is needed on the usability of MUVEs.

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Section: Technology Acceptance Model and Self-efficacy Beliefsmentioning

confidence: 99%

Pre-Service Teachers’ Intention to Use MUVEs as Practitioners – A Structural Equation Modeling Approach

Fokides

2017

JITE:Research

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“…In fact, effectively accessing music and relevant information has become one of the key benefits sought by online music consumers. Perceived Usefulness was found to have positively influenced the Behavioural Intention to use a computer system (Fagan, Wooldridge, & Neill, 2008;Guriting & Ndubisi, 2006;Ha & Stoel, 2009;Hsu, Wang, & Chiu, 2009;Huang, 2008;Norazah, Ramayah, & Norbayah, 2008;Norazah, Ramayah, & Michelle, 2010;Ruiz-Mafe´, SanzBlas, Aldas-Manzano, 2009;Seyal & Rahman, 2007;Tong, 2009). Hence, this study believes that Perceived Value will increase with Perceived Usefulness of online music.…”

Section: Perceived Usefulnessmentioning

confidence: 99%

Gender, Age, and Education: Do They Really Moderate Online Music Acceptance?

Suki¹

2011

CIBIMA

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The objective of this paper is to investigate whether gender, age, and education really moderate online music acceptance of early adopters. An empirical survey was used to test the hypotheses. Data were collected from a total of 200 questionnaires distributed to early adopters of online music and were analysed using Structural Equation Modeling (SEM) via the Analysis of Moment Structure (AMOS 16) computer program. Results enumerates that younger people (younger than 25 years), male and higher educated were more strongly affected by Perceived Playfulness and Perceived Ease of Use towards online music. This study helps practitioners to extend online music market with greater understanding about early adopters' willingness to involve in online music purchase. The paper rounds off with conclusions and an agenda for future research in this area.

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“…According to Hsu et al (2009), there is a positive influence of computer self-efficacy on perceived usefulness and no significant influence on perceived ease of use. Individual's self-efficacy is a possible barrier to user acceptance of e-Government services.…”

Section: Self-efficacymentioning

confidence: 99%

“…Carter & Belanger, 2004 (Fagan, Wooldridge, & Neill, 2008;Hsu, Wang, & Chiu, 2009;Ramayah, Chin, Norazah, & Amlus, 2005). These results suggest the following hypothesis:…”

Section: Perceived Ease Of Usementioning

confidence: 99%

User Acceptance of the E-Government Services in Malaysia: Structural Equation Modelling Approach

Suki

Ramayah²

2010

IJIKM

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This paper identifies the factors that determine users' acceptance of e-Government services and its causal relationships using a theoretical model based on the Technology Acceptance Model. Data relating to the constructs were collected from 200 respondents in Malaysia and subjected to Structural Equation Modeling analysis. The proposed model fits the data well. Results indicate that the important determinants of user acceptance of the e-Government services are perceived usefulness, ease of use, compatibility, interpersonal influence, external influence, self efficacy, facilitating conditions, attitude, subjective norms, perceived behavioral control, and intention to use e-Government services/system. Finally, implications and recommendations of these finding are discussed.

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Computer attitude, statistics anxiety and self-efficacy on statistical software adoption behavior: An empirical study of online MBA learners

Cited by 133 publications

References 49 publications

Pre-Service Teachers’ Intention to Use MUVEs as Practitioners – A Structural Equation Modeling Approach

Pre-Service Teachers’ Intention to Use MUVEs as Practitioners – A Structural Equation Modeling Approach

Gender, Age, and Education: Do They Really Moderate Online Music Acceptance?

User Acceptance of the E-Government Services in Malaysia: Structural Equation Modelling Approach

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