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A Meta-Analysis Study of Satisfaction and Continuance Intention to Use Educational Technology

Author

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  • Muhamad Nazri Abdul Rahman
  • Sharifah Norul Akmar Syed Zamri
  • Leong Kwan Eu

Abstract

Satisfaction is known as a major measure of continuance intention to use any information systems (IS). This article provides a systematic review of 30 research articles published on the educational technologies continuance intention between 2005 and 2017. The educational technologies continuance intention literature was analyzed based on a series of dimensions including author, relationship between constructs, type of respondents, contexts and instruments used. The main findings of this study, which is the first of its kind, are: (1) there is a significant relationship between satisfaction and continuance intention from the previous research, (2) most of the previous researchers have studied the relationship between satisfaction and continuance intention in the context of e-learning usage and (3) most of the previous researchers have used the instrument related with satisfaction of e-learning usage to measure the satisfaction in their studies. In order to improve research in IT continuance intention, future researchers could apply greater use of the theoretical and methodological approaches such as qualitative methods to investigate the continuance intention of educational technologies.

Suggested Citation

  • Muhamad Nazri Abdul Rahman & Sharifah Norul Akmar Syed Zamri & Leong Kwan Eu, 2017. "A Meta-Analysis Study of Satisfaction and Continuance Intention to Use Educational Technology," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 7(4), pages 1059-1072, April.
  • Handle: RePEc:hur:ijarbs:v:7:y:2017:i:4:p:1059-1072
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    Citations

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    Cited by:

    1. Shalini Garg & Shipra Sharma, 2020. "User Satisfaction and Continuance Intention for Using E-Training: A Structural Equation Model," Vision, , vol. 24(4), pages 441-451, December.

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