Computer self-efficacy, gender, and educational background in south africa

Galpin, Vashti; Sanders, Ian; Turner, Heather A.; Venter, Bonnie

doi:10.1109/mtas.2003.1237471

Cited by 25 publications

(16 citation statements)

References 11 publications

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“…Early research conducted at the University of the Witwatersrand has shown that male students are more confident in computer usage than their female classmates (Galpin, Sanders, Turner & Venter, 2003). A later study done at the University of Natal found no significant differences between male and female students in their attitudes towards computers (Smith & Oosthuizen, 2006).…”

Section: Technophobia Among South African Consumersmentioning

confidence: 96%

Technophobia: Gender differences in the adoption of high-technology consumer products

Kotzé

Anderson

Summerfield

2016

SAJBM

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The advent of technology has improved consumers' daily lives; but it has also affected some consumers, by engendering fear of complex technological products. Feelings of anxiety and fear lead to the avoidance of technology; and this fear is known as 'technophobia'. This study aims to establish whether gender differences in technophobia and the adoption of high-technology consumer products continue to exist in this digital age, or whether things have changed over time. The findings show that women are less optimistic than men; they exhibit higher levels of risk-aversion; and they have higher cognitive-processing than do men -when considering the purchases of high-technology products. The greatest challenge in stimulating the adoption of high-technology products is the perceived risk that a consumer experiences when making a purchasing decision. Although marketers tend to assume that in the modern digital age, men and women are consuming electronics in the same manner, this study shows that this is not necessarily the case; and as a new product is introduced to the market, marketers need to employ differentiating strategies, in order to target both men and women successfully.

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Section: Technophobia Among South African Consumersmentioning

confidence: 96%

Technophobia: Gender differences in the adoption of high-technology consumer products

Kotzé

Anderson

Summerfield

2016

SAJBM

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“…It has also been identified in numerous studies as being the predominant factor in career choice and in performance, both during the education phase and subsequently in a career (Akbulut & Looney, 2007Johnson, Stone, & Phillips, 2008;Lent et al, 2002;Looney & Akbulut, 2007;Smith, 2002). It is important to note that, although self-efficacy is built on past performance to some extent, students often either over-estimate their own capabilities (Galpin, Sanders, Turner, & Venter, 2003;Hilberg & Meiselwitz, 2008;Lent et al, 1994;Looney & Akbulut, 2007;Smith, 2002) or, particularly in the case of women, under-estimate them (Beyer, 2008;Zhang, 2007). Hence, past results are not the only, or even necessarily the most important, predictor of self-efficacy.…”

Section: Self-efficacy Beliefsmentioning

confidence: 99%

“…For example, the relationship between computer self-efficacy and gender is commonly studied as there is a noticeable difference in scores between men and women, both at school and university (Beyer, 2008;Galpin et al, 2003;Joshi & Kuhn, 2001;Papastergiou, 2008;Rettenmayer et al, 2007;Zhang, 2007).…”

Section: Computer Self-efficacymentioning

confidence: 99%

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Factors Affecting Career Choice: Comparison Between Students from Computer and Other Disciplines

et al. 2010

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The number of student enrolments in computer-related courses remains a serious concern worldwide with far reaching consequences. This paper reports on an extensive survey about career choice and associated motivational factors amongst new students, only some of whom intend to major in computer-related courses, at two South African universities. The data were analyzed using some components of Social Cognitive Career Theory, namely external influences, self-efficacy beliefs and outcome expectations. The research suggests the need for new strategies for marketing computerrelated courses and the avenues through which they are marketed. This can to some extent be achieved by studying strategies used by other (non-computer) university courses, and their professional bodies.However, there are also distinct differences, related to self-efficacy and career outcomes, between the computer majors and the "other" group and these need to be explored further in order to find strategies that work well for this group. It is not entirely clear what the underlying reasons are for these differences but it is noteworthy that the perceived importance of "Interest in the career field" when choosing a career remains very high for both groups of students.

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“…Although their participation is increasing (National Science Foundation, 2007), the proportion of women in STEM fields falls below that of men (Galpin, Sanders, Turner, & Venter, 2003;National Science Foundation, 2007;vanLangen & Dekkers, 2006). Factors identified as contributors to this gender underrepresentation include discrimination, social pressure from parents and peers, and internalized negative attitudes and beliefs about mathematics (European Commission, 2001;Roger & Duffield, 2000;Steele, 1997;Watt, 2005).…”

Section: Females and Stemmentioning

confidence: 99%

Gender Differences in Perceived Value of a Program to Promote Academic and Career Success for Students with Disabilities

Burgstahler¹

2007

jsesd

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Computer self-efficacy, gender, and educational background in south africa

Cited by 25 publications

References 11 publications

Technophobia: Gender differences in the adoption of high-technology consumer products

Technophobia: Gender differences in the adoption of high-technology consumer products

Factors Affecting Career Choice: Comparison Between Students from Computer and Other Disciplines

Gender Differences in Perceived Value of a Program to Promote Academic and Career Success for Students with Disabilities

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