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Empirical study on continuance intentions towards E-Learning 2.0 systems

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  • Bing Wu
  • Chenyan Zhang

Abstract

Although E-Learning 2.0 has played a significant role in training and development within the organisational environment, after an initial acceptance, its use is frequently discontinued. Prior studies offered insights into participation in E-Learning; however, there is limited research on continuance intention towards E-Learning 2.0 systems in organisational contexts. Furthermore, the most widely used research models, such as technology acceptance model (TAM), neglect the interactive social processes in E-Learning 2.0. Therefore, this study proposes a unified model integrating the TAM, the information system success model and social motivation theories to investigate continuance intentions towards E-Learning 2.0 in an organisational context. A sample of 284 participants from companies in China that have already implemented E-Learning 2.0 systems took part in this study. Structural equation modelling was conducted to test the research hypotheses. The results show that the unified model provides a more comprehensive understanding of the cognitive processes and behaviours related to this context: (1) perceived usefulness and attitude were critical to the continuance intention towards an E-Learning 2.0 system; (2) perceived usefulness was a significant mediator of the effects from perceived ease of use, information quality and social influence on continuance intention; (3) perceived ease of use, information quality and social influence were found to play important roles in predicting the continuance intention; (4) system quality played an important role in affecting the perceived ease of use; and (5) unexpectedly, social motivations had no significant effect on attitude.

Suggested Citation

  • Bing Wu & Chenyan Zhang, 2014. "Empirical study on continuance intentions towards E-Learning 2.0 systems," Behaviour and Information Technology, Taylor & Francis Journals, vol. 33(10), pages 1027-1038, October.
  • Handle: RePEc:taf:tbitxx:v:33:y:2014:i:10:p:1027-1038
    DOI: 10.1080/0144929X.2014.934291
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    Cited by:

    1. Reyhaneh Bijaniaram & Maryam Tehrani & Roohallah Noori & Jongwook Pak, 2024. "What Does It Take for Organizations to Adopt Massive Open Online Courses (MOOCs)? A Fuzzy DANP Analysis," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 1499-1534, March.
    2. Alicia Martin-Navarro & Maria Paula Lechuga Sancho & Jose Aurelio Medina-Garrido, 2023. "Testing an instrument to measure the BPMS-KM Support Model," Papers 2311.14348, arXiv.org.

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