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Disaster prevention and reduction for exploring teachers’ technology acceptance using a virtual reality system and partial least squares techniques

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  • Chen-Yuan Chen
  • Bih-Yaw Shih
  • Shih-Hsien Yu

Abstract

This study explores the effectiveness of disaster prevention programs using virtual reality and partial least squares techniques. The purpose is to gain an understanding of IS (information system) usage and acceptance behaviors, mainly the users’ acceptance of virtual reality, as well as provide a reference for future disaster prevention programs. Virtual reality is an important part of this process and needs a lot of special skills like knowledge of software and hardware for its development. To date, virtual reality has been used in many ways, such as in movies, for medical treatment and for educational training. This model incorporates the technology acceptance model, technology acceptance model 2 and IS success model and uses the partial least squares technique for structural modeling. The results indicate that virtual reality learning self-efficacy, subjective norms, system quality, information quality and service quality have a significant influence on perceived usefulness, perceived ease of use and playfulness. Considering the users’ intention to use and attitude while using virtual reality, playfulness is more significant than either perceived usefulness or perceived ease of use. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Chen-Yuan Chen & Bih-Yaw Shih & Shih-Hsien Yu, 2012. "Disaster prevention and reduction for exploring teachers’ technology acceptance using a virtual reality system and partial least squares techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(3), pages 1217-1231, July.
    • Handle: RePEc:spr:nathaz:v:62:y:2012:i:3:p:1217-1231
    DOI: 10.1007/s11069-012-0146-0
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    References listed on IDEAS

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    1. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    2. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    3. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
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    Cited by:

    1. Chen Chen & Alireza Mostafizi & Haizhong Wang & Dan Cox & Lori Cramer, 2022. "Evacuation behaviors in tsunami drills," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 112(1), pages 845-871, May.
    2. Xin Huang & Hui Zhi, 2023. "Factors Influencing Students’ Continuance Usage Intention with Virtual Classroom during the COVID-19 Pandemic: An Empirical Study," Sustainability, MDPI, vol. 15(5), pages 1-13, March.
    3. Chi-Wei Lin & Yi-Ping Hung & Wen-Ko Hsu & Wei-Ling Chiang & Cheng-Wu Chen, 2013. "The construction of a high-resolution visual monitoring for hazard analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 1285-1292, February.

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