Influence of Computer Attitude and Self-Efficacy on IT Usage Behavior

By Patrick Y. K. Chau. Journal of Organizational and End User Computing, 2001

390 citations recorded by the source corpus.

Based on an augmented Technology Acceptance Model (TAM), this paper examines the influence of computer attitude and self-efficacy on IT usage behavior. Computer attitude and self-efficacy were explicitly incorporated in the research model as external variables affecting perceived usefulness and perceived ease of use, the two key factors influencing the IT usage behavior in the original TAM. Data collected from 360 business students were tested against the model using LISREL. The results show that computer attitude has a significant, positive effect on perceived usefulness and perceived ease of use. Computer self-efficacy, on the other hand, has a relatively small, but negative, effect on perceived usefulness and no significant effect on perceived ease of use. The addition of computer attitude and self-efficacy into the TAM greatly improves the explanatory power of the model on the variance of perceived usefulness, which is again found to be a significant factor affecting the behavioral intention of using an IS/IT. Implications of the findings for research and practice are discussed.

Subfields: Information Systems and Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/6888a8a726bfe9591c1dc73140d53b43a8c6970d

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems and Management

In Sociology and Political Science

Citations in the corpus

Understanding e-learning continuance intention: An extension of the Technology Acceptance Model (2006, methodology): “Thus, computer self-efficacy has been shown to influence perceived ease of use in prior studies (Venkatesh and Davis, 1996; Agarwal et al., 2000; Chau, 2001).”
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).”
Evaluating the Role of Trust in Consumer Adoption of Mobile Payment Systems: An Empirical Analysis (2010, neutral): “, 1999], “product involvement and perceived enjoyment” [Koufaris, 2002], “computer self-efficacy” [Igbaria and Iivari, 1995; Hong et al., 2001/2002; Chau, 2001], “personal innovativeness” [Agarwal and Karahanna, 2000], “perceived information quality” [Shih, 2004], and “social factors” [Hsu and Lu, 2”
Predicting consumer intention to use mobile service (2006, methodology): “Prior studies have found that TAM appears to be superior to TPB in explaining behavioural intention of using an IS, and that the decomposed TPB model, which integrates TPB and TAM, is better than TAM but the difference is not substantial (Chau & Hu, 2001; 2002). For example, Taylor & Todd’s (1995a) ”
A consumer perspective of E-service quality (2005, background): “Individual differences are believed to influence consumer behavior and attitudes [32], [56], [70].”
Gender differences in perceptions and relationships among dominants of e-learning acceptance (2006, background): “In an e-learning context, it can be said that perceived usefulness reflects a person's beliefs or expectations about outcome, suggesting that computer self-efficacy may be an important factor affecting perceived usefulness (Chau, 2001).”
The role of the technology acceptance model in explaining effects of image interactivity technology on consumer responses (2006, methodology): “Since, then, TAM has been effective in the modeling of acceptance of IT and has received extensive empirical support through studies predicting the use of information systems (Adams et al., 1992; Agarwal and Prasad, 1997; Chau, 2001; Davis, 1989, 1993; Davis and Venkatesh, 1996; Davis et al., 1989; ”
Understanding e-learning continuance intention in the workplace: A self-determination theory perspective (2008, methodology): “Thus, computer self-efficacy has been shown to influence perceived ease of use in prior studies (Agarwal et al., 2000; Chau, 2001; Venkatesh & Davis, 1996).”
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).”
DETERMINANTS OF USER ACCEPTANCE OF INTERNET BANKING: AN EMPIRICAL STUDY (2003, neutral): “Continuing research efforts on computer self-efficacy can be observed in recent IS studies (Agarwal et al., 2000; Johnson and Marakas, 2000; Hong et al., 2001; Chau, 2001), which confirm the critical role that computer self-efficacy plays in understanding individual responses to information technolo”
USERS ADOPTION OF E-BANKING SERVICES: THE MALAYSIAN PERSPECTIVE (2007, background): “Prior research has empirically found positive relationship between perceived ease of use and perceived usefulness[1] as critical factors on the use of e-banking (Venkatesh and Davis, 1996; Agarwal et al., 2000; Johnson and Marakas, 2000; Hong et al., 2001; Chau, 2001; Wang et al., 2003; Pikkarainen ”