Delineating the effects of general and system-specific computer self-efficacy beliefs on IS acceptance

Hasan, Bassam

doi:10.1016/j.im.2005.11.005

Cited by 120 publications

(61 citation statements)

References 43 publications

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“…Thus, it received support for research hypothesis. This finding is consistent with previous research that has found positive relationship between computer self-efficacy and PEOU of use in IS research (e.g., Hong et al, 2002;Thong et al, 2004;Ramayah & Aafaqi, 2004;Hasan, 2006;Amin, 2007). This finding implies that the high level of computer self-efficacy indicated that the students will be have high levels of confidence in using e-library in general especially in doing their assignment and more likely to find the e-library is easy to use.…”

Section: Computer Self-efficacysupporting

confidence: 92%

“…Prior IS research has found that computer self-efficacy has a positive impact on perceived ease of use (Agarwal, Sambamurthy, & Stair, 2000;Venkatesh, 2000;Hong et al, 2002;Thong et al, 2004;Hasan, 2006;Amin, 2007). The proposed relationship between computer self-efficacy and PEOU is based on the theoretical argument by Davis (1989) and Mathieson (1991).…”

Section: Computer Self-efficacymentioning

confidence: 99%

“…Individual differences play a major role in determining user performance on information retrieval systems (Chen, Czerwinski, & Macredie, 2000). Previous studies have examined various individual differences such as computer self-efficacy (Chau, 2001;Hong et al, 2002;Ramayah & Aafaqi, 2004;Thong, Hong, & Tam, 2004;Ramayah, 2006;Amin, 2007;Hasan, 2006), knowledge of search domain (Hong et al, 2002;Thong et al, 2004;Ramayah, 2006), computer experience (Thong et al, 2004;Ramayah, 2006), and demographic variables (Lu, Yu, Liu, & Yao, 2003) on technology acceptance. Following research by Hong et al (2002), this study will examine computer self-efficacy and knowledge of search domain as individual differences in the context of e-library usage.…”

Section: Individual Differencesmentioning

confidence: 99%

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Computer and Information Science, Vol. 2, No. 1, February 2009, all in one file, Part A

CIS¹

2009

CIS

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Information systems are increasingly becoming regarded as crucial to an organisation's success. A development methodology for an information system is a framework to organize, program and supervise the process of developing an information system. There many are different methodologies for information systems development. Obviously, no methodology can claim that it can be applied to any organisation. Therefore, organisations should have an evaluation framework for selecting an appropriate and efficient methodology. In this paper, we propose an evaluation framework for selecting information systems development methodology in order to facilitate the development process of information systems in organisations.In this work, we will describe and compare different hard and soft systems approaches at first, then in the following sections, one kind of methodology's classifications is pointed and one methodology from each class is introduced. Finally, a comparison framework is proposed and methodologies are compared by this framework. The value of this framework is that, with use of it, organisations can evaluate their development methodology with respect to the key features of it before implementing any methodology as well as expending extra costs. This framework is theoretical in nature, and is build based on a review of related literature.

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Section: Computer Self-efficacysupporting

confidence: 92%

Section: Computer Self-efficacymentioning

confidence: 99%

Section: Individual Differencesmentioning

confidence: 99%

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Computer and Information Science, Vol. 2, No. 1, February 2009, all in one file, Part A

CIS¹

2009

CIS

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“…The effects of self-efficacy on technology usage have also been explored and proven vital in many other studies, such as older studies on web-based IS acceptance (Laver, George, Ratcliffe, & Crotty, 2012;Mun & Hwang, 2003), e-service acceptance (Hsu & Chiu, 2004;Wang, Yeh, & Liao, 2013), and IS acceptance (Hasan, 2006), to recent studies relating to educators' technology acceptances (Celik & Yesilyurt, 2013;Holden & Rada, 2011), internet banking (Ariff, Yeow, Zakuan, Jusoh, & Bahari, 2012), and e-learning acceptance (Calisir et.al, 2014;Hsia, Chang, & Tseng, 2014). Lee and Lehto's (2013) study examined user behavioural intention to use YouTube for procedural learning, and findings acknowledged self-efficacy as significant predictor of usefulness towards behavioural intention.…”

Section: Social Cognitive Theorymentioning

confidence: 99%

Promoting interactions between lecturers and students in classrooms via mobile technologies: An empirical study

Gan

Balakrishnan

2017

AJET

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The current study sets out to identify determinants affecting tertiary students' behavioural intentions to use mobile technology in lectures. The study emphasises that the reason for using mobile technology in classrooms with large numbers of students is to facilitate interactions among students and lecturers. The proposed conceptual framework has four main antecedents of behavioural intention: system perception, intrinsic motivation, system and information quality, and uncertainty avoidance. Sample data was collected from 396 tertiary students in Malaysia. Results from structural equation modelling on the sample indicated that behavioural intention was significantly influenced by system and information quality, followed by intrinsic motivation, and uncertainty avoidance. System perception was not significantly predictive of behavioural intention. The proposed framework explained 54% of the variance in behavioural intention of mobile technology use in lecture classes. The study findings are indicative of the importance of system development efforts to ensure overall quality system design. The findings further suggest that mobile technology may serve as a tool to facilitate interaction among students and lecturers in large lecture classes.

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“…Self-efficacy does not involve the assessment of actual skills people hold, but refers to the self-appraisal of what people believe they can accomplish [19], [43]. Self-efficacy will influence people's behavior by affecting their motivation and confidence to overcome difficulties and improve in performance [43], [44].…”

Section: B the Relationship Between The Sense Of Virtual Community Amentioning

confidence: 99%

Toward an Understanding of Uses and Gratifications Theory and the Sense of Virtual Community on Knowledge Sharing in Online Game Communities

Chuang¹

2015

IJIET

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Abstract-Online games have been prevailing over the last decade and becoming a most popular leisure activity. Specifically, one of the recent and favorite types of online games is massively multiplayer online role-playing games (MMORPGs). MMORPGs are very prevalent in the adolescent, resulted from their characteristics, such as network connected, interactive, team-based type, and virtual challenge tasks. Antecedent studies have never thought of uses and gratification approach and the sense of virtual community at the same time when investigating the knowledge sharing in MMORPGs communities; however, the factors of uses and gratification theory will affect knowledge sharing through the sense of virtual community practically. This study is catering to this trend and attempts to build a comprehensive model for capturing the dynamic of knowledge sharing behaviors in MMORPGs communities.

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Delineating the effects of general and system-specific computer self-efficacy beliefs on IS acceptance

Cited by 120 publications

References 43 publications

Computer and Information Science, Vol. 2, No. 1, February 2009, all in one file, Part A

Computer and Information Science, Vol. 2, No. 1, February 2009, all in one file, Part A

Promoting interactions between lecturers and students in classrooms via mobile technologies: An empirical study

Toward an Understanding of Uses and Gratifications Theory and the Sense of Virtual Community on Knowledge Sharing in Online Game Communities

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