The effects of self-efficacy on computer usage

Igbaria, Magid

doi:10.1016/0305-0483(95)00035-6

Cited by 710 publications

(499 citation statements)

References 67 publications

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“…The finding that supportive management has a positive influence on computer self-efficacy (H3) corroborates the observations by some researchers (Compeau & Higgins, 1995;Igbaria & Iivari, 1995;Venkatesh, 2000). Provision of management support to computer users improves their ability and judgment of self-efficacy.…”

Section: Discussionsupporting

confidence: 87%

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The Influence of User Efficacy and Expectation on Actual System Use

Akinbobola

Adeleke

2013

IJIKM

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Many studies have been done on human-computer interaction (HCI), but there is a dearth of studies on the mandatory actual system use in Nigerian university libraries. The relationship between sources of computer self-efficacy and outcome expectancy on actual system use was assessed, based on social cognitive theory, by surveying mandatory use of KOHA version 3.0.1 integrated library management software. The questionnaire survey was conducted on 61 library personnel in 5 private Nigerian universities. Data were analyzed by multiple regression analysis and Pearson product moment correlation. The structural model accounted for 48% of variance in actual system use, 80% in computer self-efficacy, and 19% in outcome expectancy. This study suggests that usability, supportive management, and computer self-efficacy are important determinants of actual system use of KOHA software. Self-efficacy had influence on outcome expectancy. The implication of applying the social cognitive theory to actual system use of KOHA software by library personnel is discussed.

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Section: Discussionsupporting

confidence: 87%

“…Researchers have also argued that by providing management support to computer users, their ability is improved, which in turn results in perception of higher self-efficacy (Compeau & Higgins, 1995;Igbaria & Iivari, 1995;Venkatesh, 2000). Thus the hypothesis below:…”

Section: Figure 1 Proposed Research Model (With Hypotheses Indicatedmentioning

confidence: 99%

The Influence of User Efficacy and Expectation on Actual System Use

Akinbobola

Adeleke

2013

IJIKM

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“…For example, individuals must learn how to establish and maintain an Internet connection, learn how to effectively surf the World Wide Web, as well as be able to use the multitude of applications it offers. This may be daunting, particularly for novices with little computer experience (Igbaria & Iivari, 1995). Early research on Internet self-efficacy concentrated primarily on the execution of particular tasks, such as entering Web addresses and creating bookmarks.…”

Section: Introductionmentioning

confidence: 99%

Online recreation: The relationship between loneliness, Internet self-efficacy and the use of the Internet for entertainment purposes

Whitty

McLaughlin

2007

Computers in Human Behavior

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In this study, 150 undergraduates answered questions about their Internet usage and completed a loneliness and an Internet self-efficacy questionnaire. A factor analysis of the Internet usage items revealed three facets of online recreation, including, using the Internet for: computer-based entertainment, to facilitate offline entertainment, and for information about the entertainment world. Those who scored higher on loneliness were more likely to use the Internet for computerbased entertainment, as well as, use the Internet to obtain information about the entertainment world. Individuals higher in Internet self-efficacy were more likely to use the Internet for computer-based entertainment and to facilitate offline entertainment. Implications for the study of the psychological influences of the Internet are discussed in this paper.

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“…Self-efficacy has been widely used in explaining individual differences [64][65][66][67]. Bandura [68] mentions that self-efficacy is the belief in an individual's capabilities to organize and execute a specific task, required to produce given attainments.…”

Section: Agarwal and Prasadmentioning

confidence: 99%

“…In this line, Fenech [71] conducted research to predict web usage by examining perceived ease-of use factors adding computer self-efficacy to enhance the predictability of the model, and gained the enhanced model. According to Igbaria and Iivary [67], self-efficacy directly affects perceived ease-of use. Agarwal et al [66] mentions that self-efficacy is an important factor of the antecedents of perceived ease-of-use.…”

Section: Agarwal and Prasadmentioning

confidence: 99%

The moderating role of prior experience in technological acceptance models for ubiquitous computing services in urban environments

Torres

Díaz‐Fernández

Toral

et al. 2015

Technological Forecasting and Social Change

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Ubiquitous computing services constitute a new information technology that can be used in thousands of potential applications and environments. Ubiquitous computing is also changing the classic paradigm of information technology as it is forcing social and cultural changes. Determining factors affecting the use of ubiquitous services is essential to correctly define the characteristics of new value added services. However, this study investigates not only these factors, but also the moderating effect of previous experience. Due to the technological nature of ubiquitous services, previous experience alters the way in which potential users face these services. Findings suggest that previous experience changes the way in which antecedent relates to basic TAM constructs. The derived research models and empirical results also provide valuable indicators for future research and managerial guidelines for the successful adoption of ubiquitous computing services.

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The effects of self-efficacy on computer usage

Cited by 710 publications

References 67 publications

The Influence of User Efficacy and Expectation on Actual System Use

The Influence of User Efficacy and Expectation on Actual System Use

Online recreation: The relationship between loneliness, Internet self-efficacy and the use of the Internet for entertainment purposes

The moderating role of prior experience in technological acceptance models for ubiquitous computing services in urban environments

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