Computer self efficacy, computer anxiety, attitudes towards the Internet and reported experience with the Internet, by gender, in an East European sample

Durndell, Alan; Haag, Z.

doi:10.1016/s0747-5632(02)00006-7

Cited by 529 publications

(368 citation statements)

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“…This could be due to the recognition that men tend to have better technological self-efficacy, and therefore HTSE does not affect their perceptions of PHR use. Although several studies have observed that women revealed lower self-efficacy regarding technological usage than men [52,53]. The lower self-confidence of women toward the usage of technologies may have consequences for their own aptitude beliefs in the use of PHR for health-care activities.…”

Section: Discussionmentioning

confidence: 99%

Modeling the adoption of personal health record (PHR) among individual: the effect of health-care technology self-efficacy and gender concern

Dutta

Peng

Sun

2018

Libyan Journal of Medicine

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Background: With the development of information technology (IT) and medical technology, medical information has been developed from traditional paper-based records into up-to-date medical information exchange system called personal health record (PHR). Empowering PHR provides health awareness and intention for health promotion.Objective: The purpose of this study was to present a research framework to examine individuals’ intention to PHR use.Methods: This cross-sectional study used the questionnaire to collect data from the individual in Taiwan. Individual’s intention to use PHR has been examined by a framework based on extended technology acceptance model (TAM), with gender and health-care technology self-efficacy (HTSE) as external variables. Additionally, gender differences were explored in perceptions and relationships among factors influencing an individual’s intention to PHR use. The research framework was evaluated by structural equation modeling (SEM) and represented by Analysis of a Moment Structures (AMOS).Results: A total of 234 valid responses were used for analysis. The results suggest that the extended TAM model explains 40.6% of the variance of intention to PHR use (R2 = 0.406). The findings also supported that perceived usefulness, perceived ease of use, and attitude toward using PHR significantly influenced individual’s intention to PHR use. Additionally, results also indicated that women were more strongly influenced by perceptions of HTSE.Conclusions: The extended TAM model contributes reasonable explanation for interprets and anticipates of individuals’ intention to use and adopt PHR. Moreover, the results have provided support for HTSE and gender as significant variables in TAM. However, the study identified three relevant factors directly and one factor indirectly influencing on individuals’ intention to PHR use. Thus, health care providers and hospital authorities must take these factors and gender difference into consideration in the development and validation of the theories regarding the acceptance of PHR. Based on the findings, the theoretical and practical implications are discussed.

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Section: Discussionmentioning

confidence: 99%

Modeling the adoption of personal health record (PHR) among individual: the effect of health-care technology self-efficacy and gender concern

Dutta

Peng

Sun

2018

Libyan Journal of Medicine

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“…The socio-demographic section describes personal and contextual features of students, following similar approaches in previous studies (Busch, 1995;Chen, 1986;Durndell & Haag, 2002;Ogan et al, 2005;Shashaani, 1993). Sáinz and López-Sáez (2010), and Stockdale and Keane (2016) indicate the importance of the influence of the family in the stereotypical perception of the ICT jobs and in the choice of studies and the professional orientation of the girls and boys.…”

Section: Figure 1 Percentage Of Females (In Dark Grey) and Males (Inmentioning

confidence: 86%

“…For example, we did not find remarkable differences in anxiety between boys and girls. Although another study pointed in the same direction (Teo, 2008), most of the studies suggest gender differences (Adebowale et al, 2009;Baloğlu & Çevik, 2008;Durndell & Haag, 2002;Kaino, 2008;Kubiatko et al, 2011;Shasshaani, 1993).…”

Section: Attitudes In the Use Of Ictmentioning

confidence: 96%

“…the experience of being successful in carrying out a task increases the self-efficacy related to that task; observing someone else's success or failure influences self-efficacy; verbal persuasion may have an impact on the possibilities of success; and the issue of one's emotional status. Self-efficacy is lower among girls (Durndell & Haag, 2002;Miura, 1987). Downes and Looker (2011) established a correlation between self-efficacy and the intention of students to enrol in ICT studies in the future.…”

Section: Attitudes and Self-efficacymentioning

confidence: 98%

“…As pointed out by Downes and Looker (2011), the level of self-efficacy is correlated with the intention of students to enrol in ICT careers. According to Durndell and Haag (2002), low levels of self-efficacy shown by girls may explain the low numbers of girls enrolling in ICT studies.…”

Section: Figure 1 Percentage Of Females (In Dark Grey) and Males (Inmentioning

confidence: 99%

See 2 more Smart Citations

Are Boys and Girls still Digitally Differentiated? The Case of Catalonian Teenagers

2017

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Aim/Purpose: This article presents a study of ICT use and attitudes related to the computer use of girls and boys from Catalonia in order to detect which gender differences may explain the low presence of women in the ICT field and to design a proposal of actions in schools to help reduce these differences. Background: Since the number of women in the field of ICT remains very low, this study looks into the factors that influence girls’ lack of interest in ICT field. Methodology: The study collected data from 29 randomly selected public secondary schools in Catalonia with a total of 1,920 students (972 boys and 815 girls aged between 11 and 13 years old); it analyzes socio-demographic data, frequency and type of computers use and attitudes and self-efficacy on ICT use. Contribution: The study concludes there is a prevalence of stereotypes about the differences of skills and professional vocation among the teenagers and a gender difference when we focus on attitudes toward computers or self-efficacy. Findings: Boys and girls face computer use in different ways and both have a stereotyped image of their mothers’ and fathers’ digital skills and ICT jobs. Girls present higher levels of anxiety than boys when using a computer and lower self-confidence. Boys have higher self-efficacy than girls when asked for their perception about doing tasks with computers. Impact on Society: Policy makers must design strategies to minimize these gender differences in order to engage more girls in technological studies and minimize this imbalance. Future Research: Future research is needed, in the Catalan context, about whether the intensive use of computers in schools can influence the reduction of the gender-gap and identify which interventions must be made to maximize its effect.

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Gender Digital Divide

Joiner

Stewart

Beaney

2015

The Wiley Handbook of Psychology, Technology, and Society

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Computer self efficacy, computer anxiety, attitudes towards the Internet and reported experience with the Internet, by gender, in an East European sample

Cited by 529 publications

References 28 publications

Modeling the adoption of personal health record (PHR) among individual: the effect of health-care technology self-efficacy and gender concern

Modeling the adoption of personal health record (PHR) among individual: the effect of health-care technology self-efficacy and gender concern

Are Boys and Girls still Digitally Differentiated? The Case of Catalonian Teenagers

Gender Digital Divide

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