General and Specific Computer Self-Efficacy

Author(s):  
James P. Downey ◽  
R. Kelly Rainer Jr. ◽  
Summer E. Bartczak

Computer self-efficacy is known to operate at multiple levels, from application-specific sub-domains like spreadsheets to a judgment of ability for the entire computing domain (general computer self-efficacy- GCSE). Conventional wisdom and many recent studies contend that the level of self-efficacy (specific to general) should match the level of its related constructs to maximize predictive power (Bandura, 1997; Chen, et al., 2001; Pajares, 1996). This thinking claims, for example, that GCSE should be used with a general attitude like computer anxiety (and vice versa). This study examines whether such a limitation is theoretically and empirically sound, given that SE judgments generalize across domains. Results indicate any self-efficacy judgment (specific or general) significantly relates to both general and domain-specific constructs. These results suggest that an individual’s cognitive processing of ability level is multi-faceted; that is, every SE judgment consists of general and specific components. The implication is that CSE is simultaneously generalizable and formative in nature. The results also suggest that the relationship between general and specific CSE is mediated by one’s ability level in the specific domain.

2010 ◽  
Vol 22 (3) ◽  
pp. 82-95 ◽  
Author(s):  
Bassam Hasan ◽  
Mesbah U. Ahmed

Perceptions of computer self-efficacy (CSE) and computer anxiety are valuable predictors of various computer-related behaviors, including acceptance and utilization of information systems (IS). Although both factors are purported to have general and application-specific components, little research has focused on the application or system-specific component, especially in IS acceptance contexts. Thus, little is known about the effects of application-specific beliefs on IS acceptance or how such effects compare with the effects of more general CSE and computer anxiety beliefs. Accordingly, a research model comprising application CSE, application anxiety, perceived ease of use, perceived usefulness, attitude, and intention was proposed and tested via path analysis. The results demonstrated that the direct impacts of application CSE and application anxiety on perceived ease of use and perceived usefulness were almost equal, but in opposite directions. However, the indirect effect of application CSE on attitude and intention was stronger than that of application anxiety.


Author(s):  
Bassam Hasan ◽  
Mesbah U. Ahmed

Perceptions of computer self-efficacy (CSE) and computer anxiety are valuable predictors of various computer-related behaviors, including acceptance and utilization of information systems (IS). Although both factors are purported to have general and application-specific components, little research has focused on the application or system-specific component, especially in IS acceptance contexts. Thus, little is known about the effects of application-specific beliefs on IS acceptance or how such effects compare with the effects of more general CSE and computer anxiety beliefs. Accordingly, a research model comprising application CSE, application anxiety, perceived ease of use, perceived usefulness, attitude, and intention was proposed and tested via path analysis. The results demonstrated that the direct impacts of application CSE and application anxiety on perceived ease of use and perceived usefulness were almost equal, but in opposite directions. However, the indirect effect of application CSE on attitude and intention was stronger than that of application anxiety.


2020 ◽  
Vol 32 (2) ◽  
pp. 118-131
Author(s):  
Mousa Albashrawi ◽  
Tawfiq Alashoor

Abstract Entrepreneurs are valuable assets because of their enormous contribution to their nations’ economy through creating new ventures and job opportunities. The entrepreneurship literature is informative with respect to what drives individuals to become entrepreneurs. However, it does not shed light on IT-related factors that can explain and predict entrepreneurial intention. The current study investigates the technological perspective and develops a theoretical model that extends the theory of planned behavior (TPB) by incorporating cognitive and emotional IT-related factors into established entrepreneurial models. More specifically, the developed model explains how general computer self-efficacy and computer anxiety can influence entrepreneurial intention. The study provides interesting results, as it compares two models generated for entrepreneurs and non-entrepreneurs. Contributions are communicated to both academia and industry.


2017 ◽  
Vol 10 (3) ◽  
pp. 91-108
Author(s):  
Adeneye O.A. Awofala ◽  
◽  
Sabainah O. Akinoso ◽  
Alfred O. Fatade ◽  
◽  
...  

2021 ◽  
Vol 9 (3) ◽  
pp. 800-806
Author(s):  
Hacer Kömürcü ◽  

This research aims to determine the relationship between the computer use related self-efficacy perceptions and academic success of conservatory students in distance education during the COVID-19 pandemic. The sample group of the study consists of 130 students who received distance education at Zonguldak Bülent Ecevit University State Conservatory during the COVID-19 pandemic. The quantitative data of the study were obtained via the "Computer Self-Efficacy Perception Scale" developed by Aşkar and Umay, and the academic success scores were obtained through correspondence with the conservatory administration. The demographic characteristics of the participants including gender, branch, age, and class information in the sample group were collected through a form prepared by the researcher. SPSS 21.0 program was used in the analysis of the research data. The data was analysed using a t-test, ANOVA and correlation and regression analyses. According to the results of the research, there is a positive, significant, and moderate relationship between conservatory students' computer self-efficacy perceptions and their academic success scores in distance education. The current study revealed that conservatory students' computer self-efficacy perceptions are a predictor of the academic success scores in distance education and can explain 30.2% of the academic success score. Gender, branch, age, and class variables do not have a significant effect on academic success scores and computer self-efficacy perceptions.


Author(s):  
Sadia Musharraf ◽  
Sheri Bauman ◽  
Muhammad Anis-ul-Haque ◽  
Jamil Malik

The purpose of this study was to develop and validate the ICT Self-Efficacy Scale and the association of cyberbullying and victimization with ICT self-efficacy. Sample 1 (436 university students) was used to identify the factor structure of the Scale, and sample 2 (1115 university students) provided the data to confirm the factor structure (CFA), and to compute the internal consistency reliability, and convergent validity of the scale. Findings demonstrate that the new scale is a reliable and valid domain-specific measure to assess ICT Self-Efficacy for university students. Suggestions for further research with the scale are provided.


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