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What factors influence national image in disaster reports? Evidence from China

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  • Ke Xue
  • Yuanbing Deng
  • Shuyao Wang

Abstract

In recent years, terrible natural disasters erupt frequently on a global scale, and many countries attempt to create positive national images through disaster reports. However, there is no systematic evaluation model to measure whether the national image is successfully shaped through disaster reports. With the method of expert interviews and surveys, the study defined several levels of the primary factors that affect national image in disaster reports. In addition, using the method of analytic hierarchy process, we established the national image theoretical evaluation model in disaster reports, and determined the evaluation index weights. Copyright Springer Science+Business Media Dordrecht 2015

Suggested Citation

  • Ke Xue & Yuanbing Deng & Shuyao Wang, 2015. "What factors influence national image in disaster reports? Evidence from China," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 1257-1265, May.
    • Handle: RePEc:spr:qualqt:v:49:y:2015:i:3:p:1257-1265
    DOI: 10.1007/s11135-014-0048-1
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    References listed on IDEAS

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    1. Yen-Cheng Chen & Tung-Han Yu & Pei-Ling Tsui & Ching-Sung Lee, 2014. "Erratum to: A fuzzy AHP approach to construct international hotel spa atmosphere evaluation model," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(4), pages 2371-2371, July.
    2. Yen-Cheng Chen & Tung-Han Yu & Pei-Ling Tsui & Ching-Sung Lee, 2014. "A fuzzy AHP approach to construct international hotel spa atmosphere evaluation model," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(2), pages 645-657, March.
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    Cited by:

    1. Talib Hussain & Benqian Li & Dake Wang, 2018. "What Factors Influence the Sustainable Tour Process in Social Media Usage? Examining a Rural Mountain Region in Pakistan," Sustainability, MDPI, vol. 10(7), pages 1-16, June.
    2. Mei Yang & Ziwei Wang, 2023. "A corpus-based discourse analysis of China’s national image constructed by environmental news in The New York Times," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.

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