General Computer Self-efficacy Research Articles

Librarian’s Computer Self-Efficacy as Correlate for Creation of Institution Repository in South-South Universities in Nigeria

This study investigated librarian’s computer self-efficacy as correlate for creation of Institution Repository in South-South universities in Nigeria. The study employed the descriptive survey design of the correlational type and the population for the study consisted of 181 librarians drawn from public university libraries in south-south Nigeria. The instrument for data collection is the structured questionnaire titled “Librarians Computer Self-efficacy as Correlate for Creation of Institutional Repository Questionnaire (LCSCCIRQ)”. The data collected was analyzed using descriptive statistics such as frequency and mean to answer the research questions. Pearson Product Moment Correlation (PPMC) and multiple regression statistics was used to test the Hypothesis at 0.05 level of significance. The findings of the study revealed that: (i) there was a high level of general computer self-efficacy among librarians towards the creation of IR in the universities in South-South Nigeria; (ii) librarians possesses high level of advanced computer-self efficacy skills towards the creation of IR in the universities; (iii) librarians are highly willing to create IR in their institutions; (iv) both librarians general computer self-efficacy and advanced computer-self efficacy influenced the creation of IR in South-South, Nigeria. It was therefore recommended that librarians should continue to improve on their current state of computer-self efficacy skills most especially the advanced computer-self efficacy in order to be fully equipped to fit into the 21st century technology, and be prepared at all times to take up new challenges as regards new inventions in the library (IR).

Issues regarding IT Consumerization: How Mixed IT Portfolios of Private and Business IT Components Cause Unreliability

With increasing mobile work due to the COVID-19 pandemic, the usage and relevance of consumer IT for business purposes have substantially increased. In this light, an understudied area of IT consumerization, the adverse outcomes for employees using consumer IT for business purposes, is of major importance. We conduct a mixed-methods study to investigate the adverse outcomes of IT consumerization. We build on prior studies and end-user interviews to draw connections between IT consumerization and unreliability as one known technostressor. A quantitative survey of 162 full-time employees shows that IT consumerization is associated with increased unreliability. The users’ general computer self-efficacy, instead, decreases unreliability, and unreliability leads to various job-related and health-related outcomes. We show that unreliability is driven by users’ experience while trying to integrate private and business IT components for business purposes. We follow up on this observation through a qualitative analysis of open-ended survey questions to detail users’ experiences. Our findings emphasize the need to examine the negative outcomes of IT consumerization, despite its well-studied positive effects. We suggest that organizations should strive to integrate business and private IT as much as IT security constraints allow for reduced technostress.

Telehealth Satisfaction in Patients Receiving Virtual Atrial Fibrillation Care: Quantitative Exploratory Study.

Telehealth can optimize access to specialty care for patients with atrial fibrillation (AF). Virtual AF care, however, may not fit with the complex needs of patients with AF. This study aims to explore the correlation among attitudes toward health care technologies, self-efficacy, and telehealth satisfaction as part of the future planning of virtual AF clinic care. Patients with AF older than 18 years from an urban-based, highly specialized AF clinic who had an upcoming telehealth visit were invited to participate in a web-based survey. The survey asked about demographic characteristics; use of technology; general, computer, and health care technology self-efficacy (HTSE) and health care technology attitudes, using a validated 30-item tool; and telehealth satisfaction questionnaire using a validated 14-item questionnaire. Data were analyzed with descriptive statistics, correlational analyses, and linear regression modeling. Participants (n=195 of 579 invited, for a 34% response rate) were primarily older, male, and White, had postsecondary schooling or more, and had high self-reported overall and mental health ratings. A variety of technologies were used in their daily lives and for health care, with the majority of technologies comprising desktop and laptop computers, smartphones, and tablets. Self-efficacy and telehealth satisfaction questionnaire scores were high overall, with male participants having higher general self-efficacy, computer self-efficacy, HTSE, and technology attitude scores. After controlling for age and sex, only HTSE was significantly related to individuals' attitudes toward health care technology. Both general self-efficacy and attitude toward health care technology were positively related to telehealth satisfaction. Consistent with a previous study, only HTSE significantly influenced attitudes toward health care technology. This finding confirms that, in this regard, self-efficacy is not a general perception but is domain specific. Considering participants' predominant use of the telephone for virtual care, it follows that general self-efficacy and attitude toward health care technology were significant contributors to telehealth satisfaction. Given our patients' frequent use of technology and high computer self-efficacy and HTSE scores, the use of video for telehealth appointments could be supported.

Self-Efficacy in the Prediction of GPA and Academic Computer Use in Undergraduate Translation Students at a Saudi University.

Since the beginning of the COVID-19 pandemic, academic institutions have faced the challenge of understanding the social-psychological features that produce better academic performance among translation students in an online learning environment. Although self-efficacy is widely studied in a variety of teaching and learning models, few studies have examined self-efficacy in regard to translation students. This empirical study aims to examine the roles of general self-efficacy and computer self-efficacy in terms of the academic achievement and computer use of translation students during the COVID-19 pandemic. The participants included 83 undergraduate translation students at the English Language Department of Umm Al-Qura University, Saudi Arabia. They completed the General Self-Efficacy Scale and Computer Self-Efficacy Scale questionnaires. The results found self-efficacy scores were a significant predictor of overall GPA scores, highly predictive of computer self-efficacy, and also predicted an increased typing frequency and computer usage. This study suggests that translation students with greater levels of self-efficacy will be more likely to possess social-psychological features that align with the independent, self-directed nature of online learning environments.

Entrepreneurial Intention: The Impact of General Computer Self-Efficacy and Computer Anxiety

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.

Effects of General and ERP Self-Efficacy Beliefs on the Acceptance of ERP Systems

The impact of computer self-efficacy (CSE) on acceptance and utilisation of enterprise resource planning (ERP) systems is widely recognised in the literature. However, past ERP adoption research has mostly used CSE as a universal and general computer cognitive variable across the computing domain. While CSE is a multifaceted concept which can be conceptualised and assessed at the general computer or application-specific level, past studies did not differentiate between the general and application self-efficacy belief in examining the acceptance of ERP systems. This study aims to address this issue and make a clear distinction between general computer and application (ERP) self-efficacy beliefs and examines the effects of both types of efficacy beliefs on known determinants of acceptance and use of ERP systems. The results provide strong support for the effects of self-efficacy beliefs at the ERP level. The results show that the effects of CSE beliefs at the ERP level are stronger than those of general CSE beliefs on ERP acceptance behaviour.

Training, Self-Efficacy, and Performance; a Replication Study

A conceptual replication of multiple prior IS studies was conducted with the aim of providing stronger empirical support for those results. Conducting six separate longitudinal studies, the effect of professional training on improving one’s application-specific computer self-efficacy (AS-CSE) was shown. Also in line with some prior IS studies it was shown that an application-specific measure of self-efficacy is better able to predict one’s performance in accomplishing tasks in the corresponding domain than a general computer self-efficacy (GCSE) measure. Moreover, it is shown that, regardless of the type and characteristics of the training method, individuals’ perceptions of quality of training significantly affects their AS-CSE after the training course.

Investigating Saudi Parents’ Intention to Adopt Technical Mediation Tools to Regulate Children’s Internet Usage

The adverse and harmful effects of Internet on young children have become a global concern. Parents tend to use different strategies to ensure their children’s online safety. Many studies have suggested that parental mediation may play a positive role in controlling children’s online behavior. The purpose of this study is to identify the factors that shape Saudi parents’ intention to regulate their children’s online practices using technical mediation tools. An integrated model has been proposed based on famous Information System theories and models to investigate parental intention to adopt technical mediation tools. A questionnaire-based survey is conducted for data collection. Basic descriptive statistical analysis, reliability, and validity assessments were used to analyze the data at the preliminary stage, followed by advanced analysis using Structural Equation Modeling to test the research hypotheses. Research results indicate that effort expectancy, performance expectancy, general computer self-efficacy, perceived severity, and perceived vulnerability are the main predictors of Saudi parent’s intention to regulate their children’s online behaviors using technical mediation tools.

Unraveling the Mystery of New Technology Use: An Investigation into the Interplay of Desire for Control, Computer Self-efficacy, and Personal Innovativeness

In this paper, we examine how intrinsically motivated competence and autonomy (two basic psychological needs derived from self-determination theory) in concert with personal innovativeness in IT motivate individuals to try new information technologies. In a study with 202 participants we found 1) competence, operationalized as general computer self-efficacy (GCSE), and 2) autonomy, operationalized as desire for control over information technology (DCIT), to positively influence individuals’ intention to use new or unfamiliar technologies. Further, we hypothesize and find evidence of an interaction effect that suggests there may be a tradeoff between these constructs. That is, individuals may be inclined to use new technologies because they perceive themselves as having high levels of ability or because they have high levels of desire; they are either competence-driven or desire-driven users. Therefore, correctly identifying potential users into the appropriate user category and providing the necessary training or control mechanisms will likely increase an individual’s intention to try new and innovative IT products.

A Longitudinal Examination of the Effects of Computer Self-efficacy Growth on Performance during Technology Training

Technology training in the classroom is critical in preparing students for upper level classes as well as professional careers, especially in fields such as technology. One of the key enablers to this process is computer self-efficacy (CSE), which has an extensive stream of empirical research. Despite this, one of the missing pieces is how CSE actually changes during training, and how such change is related to antecedents and performance outcomes. Measuring change requires repeated data gathering and the use of latent growth modeling, a relatively new statistical technique. This study examines CSE (specifically general CSE or GCSE) growth over time during training, and how this growth is influenced by anxiety and gender and influences performance, using a semester-long lab course covering three applications. The use of GCSE growth more accurately models how students actually learn in a technology classroom. It provides novel clarity in the interaction of gender, anxiety, GCSE, specific CSEs, and performance during training. The study finds that the relationship between anxiety and self-efficacy decreases over time during training, becoming non-significant; it clarifies the significant role gender plays in influencing GCSE at the start of and during training. It finds GCSE influences application performance only through specific CSEs.

The Role of Self-Efficacy to Persistence of Technology Students in the Philippines

The attainment of a baccalaureate degree largely determines income and occupational status. Persistence is defined as a constellation of factors leading to completion of the course. Self-efficacy is an important factor that mitigates persistence especially in a technology-related course that is deemed crucial in a global economy. The contribution of domain-specific self-efficacy in student persistence (technology self-efficacy, computer self-efficacy, career self-efficacy, and general self-efficacy) was examined using sample data from students of three institutions of higher education in Metro Manila and nearby province. This study reveals that general self-efficacy and computer self-efficacy are significant predictors of persistence while career self- efficacy and technology self-efficacy are not. Keywords - information technology education, self-efficacy, technology self-efficacy, persistence

Understanding the continuance use of social network sites: a computer self-efficacy perspective

Based on social cognitive theory and the balanced thinking–feelings model, this study proposes a research model to examine the different roles of general computer self-efficacy (CSE) and specific CSE. The research model was tested with a survey of university students in Singapore in the Facebook context. It is found that while general CSE affects continuance intention through both cognition and affection, specific CSE mainly affects continuance intention through cognition. It is also found that general computer experience affects general CSE only and specific computer experience affects specific CSE only.

On Latent Growth Models for Composites and Their Constituents

Over the last decade and a half, latent growth modeling has become an extremely popular and versatile technique for evaluating longitudinal change and its determinants. Most common among the models applied are those for a single measured variable over time. This model has been extended in a variety of ways, most relevant for the current work being the multidomain and the second-order latent growth models. Whereas the former allows for growth function characteristics to be modeled for multiple outcomes simultaneously, with the degree of growth characteristics' relations assessed within the model (e.g., cross-domain slope factor correlations), the latter models growth in latent outcomes, each of which has effect indicators repeated over time. But what if one has an outcome that is believed to be formative relative to its indicator variables rather than latent? In this case, where the outcome is a composite of multiple constituents, modeling change over time is less straightforward. This article provides analytical and applied details for simultaneously modeling growth in composites and their constituent elements, including a real data example using a general computer self-efficacy questionnaire.

Exploring Gender Differences on General and Specific Computer Self-Efficacy in Mobile Learning Adoption

Reasons for contradictory findings regarding the gender moderate effect on computer self-efficacy in the adoption of e-learning/mobile learning are limited. Recognizing the multilevel nature of the computer self-efficacy (CSE), this study attempts to explore gender differences in the adoption of mobile learning, by extending the Technology Acceptance Model (TAM) with general and specific CSE. Data collected from 137 university students were tested against the research model using the structural equation modeling approach. The results suggest that there are significant gender differences in perceptions of general CSE, perceived ease of use, and behavioral intention to use but no significant differences in specific CSE, perceived usefulness. Additionally, the findings reveal that specific CSE is more salient than general CSE in influencing perceived ease of use, while general CSE seems to be the salient factor on perceived usefulness for both female and male combined. Moreover, general CSE was salient to determine the behavioral intention to use indirectly for female despite lower perception of general CSE than male's, and specific CSE exhibited stronger indirect effect on behavioral intention to use than general CSE for female despite similar perception of specific CSE as males'. These findings provide important implications for mobile learning adoption and usage.

Investigating the Influence of Cultural Orientation and Innovativeness on ERP Adoption

This study investigates the phenomena of cultural orientation, such as power distance and collectivism, and personal innovativeness in IT (as stable individual differences) as well as general computer self-efficacy (as a dynamic individual difference) in the context of the technology acceptance model (TAM) for ERP system adoption. One hundred and one survey questionnaire results of an international user group utilizing an ERP system developed by one of the largest IT solution providers in the world were analyzed using PLS. Power distance negatively affects computer self-efficacy and innovativeness positively affects computer self-efficacy, as expected. Computer self- efficacy and innovativeness affect ease of use, while collectivism affects usefulness. Theoretical and practical implications of these findings for global IT management are discussed.

A Path Analysis of the Impact of Application-Specific Perceptions of Computer Self-Efficacy and Anxiety on Technology Acceptance

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.

Understanding the Formation of General Computer Self-Efficacy

This study investigates the information sources of general computer self-efficacy suggested by its origin in Social Cognitive Theory. These antecedents are rarely explored in the literature, and much of the focus has been on personal experiences or environmental factors. A re-examination of the theoretical foundation of self-efficacy suggests a broader set of antecedents. Selecting business students as the research subject, we propose and test a comprehensive nomological network of computer self-efficacy with seven antecedents and two consequences—computer attitudes and MIS intention (defined as one’s intention to select MIS for his/her future study and career). The results support that computer knowledge, current computing experiences, computer anxiety, and age affected the formation and development of computer self-efficacy among the sampled students; computer self-efficacy and social norms had strong effects on computer attitudes and MIS intention. Implications for both research and MIS education are discussed.

Technology, trainees, metacognitive activity and e‐learning effectiveness

PurposeThe purpose of this paper is to integrate previous research findings on the factors which affect e‐learning effectiveness. To do this, a model is developed which proposes that the effects of individual learner characteristics and technology characteristics on e‐learning outcomes are partially mediated by the metacognitive learning processes in which the learner engages.Design/methodology/approachA survey of 914 individuals in an online introductory information systems course examines the relations between general computer self‐efficacy (GCSE), locus of control, age, peer interaction, technology reliability, social presence, media synchronicity, and metacognitive activity and the e‐learning outcomes of course, performance, course utility, and course satisfaction.FindingsThe results indicate that GCSE, age, social presence, reliability, media synchronicity, and metacognitive activity are related to course satisfaction and utility judgments. In addition, age, metacognitive activity, and reliability are related to course performance and interaction is related to satisfaction. Finally, metacognitive activity partially mediates the relationship between social presence, media synchronicity and satisfaction, and utility judgments.Originality/valueThis paper represents one of the first to investigate a model of e‐learning effectiveness which integrates research on metacognitive activity as well as the role of technology and trainee characteristics.

The influence of individual differences on continuance intentions of enterprise resource planning (ERP)

This study aims to investigate whether individual differences affect enterprise resource planning (ERP) users’ continuance intention. In the initial stage ERP users usually lack the complete will to determine whether or not they use ERP, but their continuance intentions are not always mandatory. Thus, understanding the relationship between individual differences and continuance intention helps design an effective training program, which in turn improves the effectiveness of ERP usage. Grounded on expectation-confirmation theory (ECT), this study examined the influences of dynamic and stable individual differences on satisfaction and continuance, respectively. Dynamic individual differences include both general computer self-efficacy and computer anxiety, and personal innovativeness in information technology (IT) refers to a stable, situation-specific traits. In addition to individual differences, we also assessed the moderating effect of ERP experience. A cross-sectional survey method was used to collect data. A total of 305 useful responses were analyzed by using partial least squares (PLS). We found that all the individual differences affect continuance intention either directly or indirectly (through satisfaction). Individuals’ prior experience of ERP moderates five of the relationships between individual differences and continuance intention. We also provide implications for both managers and researchers.

Explicating Computer Self-Efficacy Relationships

Computer self-efficacy is known to operate at multiple levels, from application-specific subdomains 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, Gully, & Eden, 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.