Attitudes towards end-user computing: A structural equation model

Abstract

Success with End-U ser Computing (EUC) is dependen t on the voluntary behaviour of individuals, which is regulated by their attitudes. Even where proven opportunities exist for bene® cial deployment of EUC, adverse attitudes can inhibit use. Structural equation modelling was used to analyse survey data relating to the processes by which individuals form their attitudes towards computers. The results provide support for hypothesized in¯uences on attitudes from personality, product involvement, task characteristics, and com puter anxiety. Additional analyses reveal the eOE ects of dem ographic factors. Attitudes towards com puters provide a potentially more enduring measure of EUC success than do previous measures. Mechanism s for promoting positive attitudes towards computers are critical for full appreciation of the bene® ts of EUC.

Student Use of the Internet: an extension of TAM in technical and vocational institutions in Brunei Darussalam

“…The findings support the preposition that an individual who performs a great variety of tasks by using the Internet will become personally involved with technology that enhance the further use. The findings are in line with several prior studies (Goodhue and Thompson, 1995;Harris, 1999). Institutional support is in fact available to only 33% of the students.…”

“…The inclusion of the various multi-item, multi-dimensional constructs in all four parts of the instrument is based upon existing constructs taken from previous researches (Davis, 1989;Igbaria and Chakraborti, 1990;Igbaria and Tan, 1997;Turner and Zheng, 1998;Harris, 1999). Construct measuring computer experience is adapted from Igbaria (1992).…”

A contingency model of computer and Internet self-efficacy

“…Research also suggested a significant relationship between computer anxiety and user attitude [6,18,23]. For example, Harris suggested that computer anxiety had negative influence on attitude toward end-user-computing.…”

“…The interaction between computer anxiety and user attitude influences training outcome in terms of pattern of change in computer self-efficacy and Internet self-efficacy [6,18,23] efficacy and reported a reliability of 0.96. We used 15 items of the instrument developed by Torkzadeh and Van Dyke for measuring Internet self-efficacy.…”

Internet anxiety: An empirical study of the effects of personality, beliefs, and social support

“…Individuals who reported high levels of PIIT were more likely to take risks in experimenting with new technology [20]. Because of this tolerance to risk, highly innovative individuals are less likely to report computer anxiety [21].…”