Determinants of Intent to Continue Using Online Learning: A Tale of Two Universities

Brahmasrene, Tantatape; Lee, Jung Wan

doi:10.28945/1548

Cited by 29 publications

(18 citation statements)

References 43 publications

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“…Cross cultural comparisons and longitudinal studies need to be conducted in order to examine possible changes over time and cultural effects on the relative importance of determinants of eLearning usage. The finding of Brahmasrene & Lee (2012) that there is a significant difference between the U.S sample and the Korean sample regarding the perceived usefulness of online learning system adds weight to this. Also, the largest adopters of eLearning are corporations, which find it useful in keeping their workforce up to date.…”

Section: Future Researchmentioning

confidence: 91%

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Determinants of Intention to Use eLearning Based on the Technology Acceptance Model

Punnoose¹

2012

JITE:Research

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Executive SummaryThe purpose of this study was to find some of the predominant factors that determine the intention of students to use eLearning in the future. Since eLearning is not just a technology acceptance decision but also involves cognition, this study extended its search beyond the normal technology acceptance variables into variables that could affect the cognition of an individual due to his or her unique characteristics.The variables in the literature of technology acceptance studies can be classified broadly into 5 categories. They are Individual Differences, Beliefs, Attitude, Behavioral Intention, and Actual Behavior. Since the Technology Acceptance Model (TAM) is the most widely used model to study the acceptance of technology, this study adopted TAM and further extended it based on the recommendations from the literature of information systems and information technology.It can be said that eLearning is in the 'Early Adopters' stage in the academic sector and at the 'Early Majority' stage in the corporate sector of the innovation diffusion process. Individual differences are among the external variables said to influence the belief variables in TAM. The research intent is to understand what individual differences can be observed as the characteristics of early adopters of eLearning. Personality traits are one of the predominant measures of individual differences. This study employs the big five personality trait measures to measure the personality types of individuals engaged in eLearning and how they influence their decision to further engaging in eLearning. The variables of the research model are categorized into individual differences, beliefs and behavior. Apart from the TAM variables, i.e., Perceived Ease of Use (PEU) and Perceived Usefulness (PU), this study has incorporated Perceived Enjoyment (PE) which is a measure of intrinsic motivation and Subjective Norms (SN) into the beliefs variables category.This research was conducted among the master degree students of eLearning programs at a University in Thailand. There are 750 students who have completed or are currently enrolled in these programs at the university. The students comprise both Thai national and international students. A total of 249 usable questionnaires were collected. The respondents studied in eLearning master degree programs from a total of 26 different countries with majority of the respondents (83 percent) residing in Thailand. Most of the respondents (67 percent) had no prior experience with eLearning and the majority (64 percent) of respondents were females. Compared to the females, the males enjoyed eLearning more and expressed stronger intentions to use eLearning in the future.Respondents with prior eLearning expeMaterial published as part of this publication, either on-line or in print, is copyrighted by the Informing Science Institute. Permission to make digital or paper copy of part or all of these works for personal or classroom use is granted without fee provided that the copies are not made or distributed for ...

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Section: Future Researchmentioning

confidence: 91%

“…The success of online learning programs depends not only on students' satisfaction but also their intent to continue using it (Brahmasrene & Lee, 2012). Thus this study addresses the following four related research questions:…”

Section: Introductionmentioning

confidence: 99%

Determinants of Intention to Use eLearning Based on the Technology Acceptance Model

Punnoose¹

2012

JITE:Research

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“…The IS literature suggests that continuance intention is a critical long‐term outcome and indicator of IS success (e.g., Bhattacherjee & Premkumar, ; Hu, Brown, Thong, Chan, & Tam, ). It is also regarded as the key to understanding how to retain users and sustain their participation, especially in online communities that largely depend on user contributions (e.g., Brahmasrene & Lee, ; Fang & Neufeld, ). Next, each hypothesis is discussed.…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

“…Similarly, in a virtual community context (i.e., online travel), Kim, Lee, and Hiemstra () indicated that a sense of belonging, which is a core component of SOC, has a significant impact on members' loyalty toward their community. In addition, Brahmasrene and Lee () showed in an online learning setting that SOC is a significant predictor of continuance intention. Taken together, these findings suggest that the more a user feels a SOC, the more he is likely to possess continuance intention.…”

Section: Research Model and Hypothesesmentioning

confidence: 99%

Booklovers' world: An examination of factors affecting continued usage of social cataloging sites

Choi

Joo

2015

Asso for Info Science & Tech

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Little is known about what factors influence users' continued use of social cataloging sites. This study therefore examines the impacts of key factors from theories of information systems (IS) success and sense of community (SOC) on users' continuance intention in the social cataloging context. Data collected from an online survey of 323 social cataloging users provide empirical support for the research model. The findings indicate that both information quality (IQ) and system quality (SQ) are significant predictors of satisfaction and SOC, which in turn lead to users' intentions to continue using these sites. In addition, SOC was found to affect continuance intention not only directly, but also indirectly through satisfaction. Theoretically, this study draws attention to a largely unexplored but essential area of research in the social cataloging literature and provides a fundamental basis to understand the determinants of continued social cataloging usage. From a managerial perspective, the findings suggest that social cataloging service providers should constantly focus their efforts on the quality control of their contents and system, and the enhancement of SOC among their users.

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“…While research is beginning to examine the use of SNSs such as Facebook for educational endeavors (Brahmasrene & Lee, 2012;Buzzetto-More, 2012), the current research is focused purely on the entertainment, or hedonic use of these networks. However, the results can be generalized to other online systems in future studies if one looks at perceived usefulness rather than perceived playfulness as Bhattercherjee (2001) did.…”

Section: Limitations and Future Researchmentioning

confidence: 99%

Social Networking Site Continuance: The Paradox of Negative Consequences and Positive Growth

2012

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The growth of social networking sites (SNSs) introduces a variety of interesting behaviors by users of these online informing environments. SNSs have become important informing channels for both personal and commercial interests, but paradoxically some experience enormous growth even when unfavorable consequences are continually reported, while others decline. This research investigates new factors influencing SNS satisfaction and continuance intention. A survey given to college students in a North American university using sites like Facebook or MySpace was used to examine satisfaction and continuance intention based on transdisciplinary theories of technology acceptance and satisfaction, with the addition of two new constructs. The results indicate that authority figure users have a negative moderating effect on satisfaction, while resistance to change positively affects continuance intention, even in the face of such dissatisfaction. Limitations of the study include the use of only North American students as subjects. Therefore, cultural issues and the use of a student sample make the results inapplicable to the general population. The results of the study help explain why some SNS environments might enjoy growth and popularity even as others fail, extending the literature on continuance intention and also providing implications for practitioners.

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Determinants of Intent to Continue Using Online Learning: A Tale of Two Universities

Cited by 29 publications

References 43 publications

Determinants of Intention to Use eLearning Based on the Technology Acceptance Model

Determinants of Intention to Use eLearning Based on the Technology Acceptance Model

Booklovers' world: An examination of factors affecting continued usage of social cataloging sites

Social Networking Site Continuance: The Paradox of Negative Consequences and Positive Growth

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