The impact of Web self-efficacy, age, and Web experience on bookmark manipulation

Kurniawan, Sri; Ellis, R. Darin; Allaire, Jason C.

doi:10.1007/s10209-002-0029-3

Cited by 5 publications

(5 citation statements)

References 33 publications

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“…Numerous studies have shown the contributing effect of web self-efficacy on internet usage and satisfaction (Kurniawan et al, 2002;Roca et al, 2005). Against this background, this study hypothesizes that web self-efficacy will be significantly related to portal effectiveness dimension (i.e.…”

Section: Antecedents Of Portal Effectivenessmentioning

confidence: 86%

Measuring campus portal effectiveness and the contributing factors

Masrek

2007

Campus-Wide Information Systems

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Purpose -The purpose of the paper is to evaluate the effectiveness or success of universities' portal implementation from the perspective of students as users. Adopting the model developed by Delone and McLean, portal effectiveness is defined as being composed of information quality, systems quality and service quality. In addition, the paper also seeks to investigate the influence of individual factors comprising attitudes towards the portal, personal innovativeness and web self-efficacy on the effectiveness of the portal. Design/methodology/approach -The study adopted a survey research design with questionnaires being administered to 600 students as respondents. The cross-sectional strategy for data collection resulted in 405 usable responses that were used for data analysis. Findings -The results show that IS effectiveness dimensions consisting of service quality and systems quality are significantly correlated with user satisfaction. In addition, the study also showed that of the three predictors investigated, only attitudes towards the portal were found to be significantly correlated with IS effectiveness dimensions.Research limitations/implications -The perceptual self-report measures rather than objectives measures adopted in this study contribute to bias, and a cross-sectional design for data collection only provides data at one point in time. Practical implications -The instrument developed in the study could assist the authorities concerned in evaluating the effectiveness of the portal. Originality/value -Despite the growing interest in universities adopting portal technologies, studies addressing the issues of successes and effectiveness are still very limited. Hence, this study provides an impetus for evaluating campus portals from the user's perspective.

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Section: Antecedents Of Portal Effectivenessmentioning

confidence: 86%

Measuring campus portal effectiveness and the contributing factors

Masrek

2007

Campus-Wide Information Systems

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“…Regarding web portal usage, direct or indirect contributing effects of web self-efficacy on web portal usage were reported by a number of prior studies (i.e. Kurniawan, Ellis, & Allaire, 2002, Roca, Chiu, & Martinez, 2006. Atkinson and Kydd's (1997) study reported that undergraduate and graduate level students' ability to work with computer was strongly and positively associated with website use.…”

Section: Perceived Self-efficacy (Pse)mentioning

confidence: 97%

Student Acceptance of University Web Portals

Fathema

Ross

Witte

2014

International Journal of Web Portals

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A large number of university web portal's content and design do not meet today's students' expectations and requirements. To address students' expectations, universities spend millions on the redesign and maintenance of their web portals which students say are inadequate and lack basic services. To this end, this study explored the factors that influence students' acceptance of university web portals. It proposed an extension of Davis's (1989) Technology Acceptance Model (TAM) by adding three user related external constructs in it. A total of 429 usable responses were collected from university students through a web survey. Data were analyzed using structural equation modeling. The results of the study revealed that website quality, perceived self-efficacy, and facilitating conditions were significant in explaining students' use of university web portals and therefore, indicated that the extended TAM has sufficient explanatory power to explain students' usage of university web portals. In conclusion, important theoretical and practical implications of the results are presented for both researchers and practitioners.

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“…There are several previous studies related to the topic of a person's anxiety in various areas [24][25][26][27], such as in Yanto's research [28], who conducted a study on students' anxiety by applying computational models of variable precision rough sets and the BAI (Beck Anxiety Inventory). The author found that there were many types of anxiety according to the triggers and then classified students into specific categories based on the anxiety they had.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The BAI questionnaire assesses the level of respondents' anxiety using a scale based on the respondents' answers to the existing 20 questions. There are four scales in BAI, namely low (0-7), medium (8)(9)(10)(11)(12)(13)(14)(15), high (16)(17)(18)(19)(20)(21)(22)(23)(24)(25), and severe . In this experiment, the BAI questionnaire was filled out by respondents after reading the three news articles provided in the context of real news content, and this can provoke impulses and respondents' memories to trigger anxiety.…”

Section: Anxiety Measurementmentioning

confidence: 99%

Considered Factors of Online News Based on Respondents’ Eye Activity Using Eye-Tracker Analysis

2020

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Development of the internet as a source of information has penetrated many aspects of human life, which is shown in the increasingly diverse substance of news in online news sources. Previous studies have stated that the presentation of the substance of online news information can have negative impacts, especially the emergence of anxiety in users; thus, managing the presentation of information becomes important. This study intends to explore factors that should be considered as possible anxiety-inducers for readers of news sites. Analyses of areas of interest (AOIs), fixation, and heat maps from respondents’ eye activity obtained from eye-tracker data have been compiled with Beck Anxiety Inventory (BAI) measurement results to analyze anxiety among newsreaders. The results show that text is the dominant center of attention in various types of news. The reason for the higher anxiety that arises from text on online news sites is twofold. First, there are the respondents’ experiences. Second, text usage allows for boundless possibilities in respondents’ imaginations as a response to the news that has occurred.

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The impact of Web self-efficacy, age, and Web experience on bookmark manipulation

Cited by 5 publications

References 33 publications

Measuring campus portal effectiveness and the contributing factors

Measuring campus portal effectiveness and the contributing factors

Student Acceptance of University Web Portals

Considered Factors of Online News Based on Respondents’ Eye Activity Using Eye-Tracker Analysis

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