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A conceptual model for assessing blog-based learning system success in the context of business education.

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Title: A conceptual model for assessing blog-based learning system success in the context of business education.
Authors: Wang, Yi-Shun1 yswang@cc.ncue.edu.tw, Li, Ci-Rong2 cirongli@gmail.com, Yeh, Ching-Hsuan1 chyeh17@gmail.com, Cheng, Shin-Tzu3 vexille0831@gmail.com, Chiou, Chei-Chang4 ccchiou@cc.ncue.edu.tw, Tang, Yu-Cheng4 loistang888@gmail.com, Tang, Tzung-I5 mtang@nccu.edu.tw
Source: International Journal of Management Education (Elsevier Science). Nov2016, Vol. 14 Issue 3, p379-387. 9p.
Subject Terms: *Information systems education, *Education, Blogs
Abstract: With the proliferation in the use of blogs in educational contexts, a better understanding of how to promote university students' learning performance using blog-based learning systems has become an important topic for practitioners and academics. Based on DeLone and McLean's (2003) information systems success model and Goodhue and Thompson's (1995) task-technology fit model, this study proposes a blog-based learning system success model that contains seven variables: (1) knowledge and information quality, (2) system quality, (3) service quality, (4) reuse intention/system usage, (5) student satisfaction, (6) task-technology fit, and (7) learning performance. A set of propositions that describe the relationships between the seven focal variables is presented to enhance our understanding of how to use blog-based learning systems to enhance students' learning performance within a business education context. Theoretical and practical implications for the development and application of blog-based learning systems are then discussed. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Management Education (Elsevier Science) is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Education Research Complete
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DbLabel: Education Research Complete
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PubType: Academic Journal
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  Data: A conceptual model for assessing blog-based learning system success in the context of business education.
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  Data: <searchLink fieldCode="AR" term="%22Wang%2C+Yi-Shun%22">Wang, Yi-Shun</searchLink><relatesTo>1</relatesTo><i> yswang@cc.ncue.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Li%2C+Ci-Rong%22">Li, Ci-Rong</searchLink><relatesTo>2</relatesTo><i> cirongli@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Yeh%2C+Ching-Hsuan%22">Yeh, Ching-Hsuan</searchLink><relatesTo>1</relatesTo><i> chyeh17@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Cheng%2C+Shin-Tzu%22">Cheng, Shin-Tzu</searchLink><relatesTo>3</relatesTo><i> vexille0831@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Chiou%2C+Chei-Chang%22">Chiou, Chei-Chang</searchLink><relatesTo>4</relatesTo><i> ccchiou@cc.ncue.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Tang%2C+Yu-Cheng%22">Tang, Yu-Cheng</searchLink><relatesTo>4</relatesTo><i> loistang888@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Tang%2C+Tzung-I%22">Tang, Tzung-I</searchLink><relatesTo>5</relatesTo><i> mtang@nccu.edu.tw</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Management+Education+%28Elsevier+Science%29%22">International Journal of Management Education (Elsevier Science)</searchLink>. Nov2016, Vol. 14 Issue 3, p379-387. 9p.
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  Data: *<searchLink fieldCode="DE" term="%22Information+systems+education%22">Information systems education</searchLink><br />*<searchLink fieldCode="DE" term="%22Education%22">Education</searchLink><br /><searchLink fieldCode="DE" term="%22Blogs%22">Blogs</searchLink>
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  Data: With the proliferation in the use of blogs in educational contexts, a better understanding of how to promote university students' learning performance using blog-based learning systems has become an important topic for practitioners and academics. Based on DeLone and McLean's (2003) information systems success model and Goodhue and Thompson's (1995) task-technology fit model, this study proposes a blog-based learning system success model that contains seven variables: (1) knowledge and information quality, (2) system quality, (3) service quality, (4) reuse intention/system usage, (5) student satisfaction, (6) task-technology fit, and (7) learning performance. A set of propositions that describe the relationships between the seven focal variables is presented to enhance our understanding of how to use blog-based learning systems to enhance students' learning performance within a business education context. Theoretical and practical implications for the development and application of blog-based learning systems are then discussed. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of International Journal of Management Education (Elsevier Science) is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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