Research Report: The Evolving Relationship Between General and Specific Computer Self-Efficacy - An Empirical Assessment

By Ritu Agarwal, V. Sambamurthy, R. Stair. Information systems research, 2000

914 citations recorded by the source corpus.

Subfields: Communication, Gender Studies, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/70073606467bbbb95469aff16f6734b30e488dd4

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Citations in the corpus

Avoidance of Information Technology Threats: A Theoretical Perspective (2009, background): “Self-efficacy has been examined in numerous studies in the IS literature and its relationship with intention to IT adoption is well established (Agarwal et al. 2000; Bandura 1977; Bandura 1982; Chau 2001; Compeau et al. 1999; Venkatesh 2000).”
Predictors of Engagement and Participation in an On-Line Course (2003, background): “Computer self-efficacy (CSE) is defined as the judgment of one’s capability to use an information technology (Agarwal et al., 2000; Compeau et al., 1995; Gist, 1989; Gist et al., 1989).”
User acceptance of mobile internet based on the Unified Theory of Acceptance and Use of Technology: Investigating the determinants and gender differences (2010, result): “This finding is the same as was recorded in previous studies (Agarwal et al., 2000; Hong et al., 2002).”
Conceptualizing and Testing a Social Cognitive Model of the Digital Divide (2011, background): “There is a strong correlation between both types of CSE (Agarwal et al. 2000, Downey 2006, Wang et al. 2008).”
Understanding Security Behaviors in Personal Computer Usage: A Threat Avoidance Perspective (2010, neutral): “Self-efficacy has been examined by numerous studies and its relationship with IT adoption intent is well established (Agarwal et al., 2000; Bandura, 1977; Bandura, 1982; Chau, 2001; Compeau et al., 1999; Venkatesh, 2000).”
Understanding Technology Adoption: Theory and Future Directions for Informal Learning (2009, background): “…construct beliefs about technology based on a variety of personal factors including prior experience, beliefs about specific and general abilities (Agarwal et al., 2000), stable personality traits (Agarwal et al., 2000; Wood & Swait, 2002), and mandated versus voluntary use of technology (Jones &…”
Predicting consumer intention to use mobile service (2006, methodology): “There also exists empirical evidence of a causal link between self-efﬁcacy and perceived ease of use (e.g. Igbaria & Iivari, 1995; Venkatesh & Davis, 1996; Agarwal et al ., 2000; Venkatesh, 2000; Wang, 2003).”
The acceptance and use of computer based assessment (2011, background): “A number of technology acceptance studies used Social Influence into their proposed models and found useful results (e.g. Agarwal & Karahanna, 2000; Karahanna & Straub, 1999; Lu, Yu, Liu, & Yao, 2003; Taylor & Todd, 1995; Venkatesh & Davis, 2000; Venkatesh et al., 2003).”
Modeling Citizen Satisfaction with Mandatory Adoption of an E-Government Technology (2010, background): “For example, self-efficacy has been found to affect computer use and early adoption of a computer system (Agarwal et al., 2000).”
Cell phone banking: predictors of adoption in South Africa - an exploratory study (2003, background): “Agarwal et al. (2000) further demonstrate the importance of self-efficacy in their study of user behaviour with information technology.”