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Influence of social media on operational efficiency of national scenic spots in china based on three-stage DEA model

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  • Xu, Jia
  • Wei, Jiuchang
  • Zhao, Dingtao

Abstract

An increasing number of national scenic spots around the world use social media, such as micro-blogs and Twitter, to promote their popularity and improve their operational performance. National scenic spots may adopt different social media behaviors that lead to unbalanced operational performance. This study takes the perspective of social media adoption in national scenic spots by looking into the influence of social media adoption behaviors on operational performance based on the three-stage data envelopment analysis model. We found that most of the national scenic spots in China have low pure technical efficiency and that operational performance, including social media popularity and operational performance, is significantly determined by various social media adoption behaviors.

Suggested Citation

  • Xu, Jia & Wei, Jiuchang & Zhao, Dingtao, 2016. "Influence of social media on operational efficiency of national scenic spots in china based on three-stage DEA model," International Journal of Information Management, Elsevier, vol. 36(3), pages 374-388.
    • Handle: RePEc:eee:ininma:v:36:y:2016:i:3:p:374-388
    DOI: 10.1016/j.ijinfomgt.2016.01.002
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    Cited by:

    1. Xuedong Liang & Canmian Liu & Zhi Li, 2017. "Measurement of Scenic Spots Sustainable Capacity Based on PCA-Entropy TOPSIS: A Case Study from 30 Provinces, China," IJERPH, MDPI, vol. 15(1), pages 1-19, December.
    2. Chenming Zhang & Bei He & Wei Li & Chunyang Guo, 2023. "Spatial Distribution and Accessibility Evaluation of National Water Parks in China," Sustainability, MDPI, vol. 15(15), pages 1-17, July.
    3. Zhang, Zumeng & Ding, Liping & Wang, Chaofan & Dai, Qiyao & Shi, Yin & Zhao, Yujia & Zhu, Yuxuan, 2022. "Do operation and maintenance contracts help photovoltaic poverty alleviation power stations perform better?," Energy, Elsevier, vol. 259(C).
    4. Sheng-Hsiung Chiu & Tzu-Yu Lin & Wei-Ching Wang, 2024. "Investigating the spatial effect of operational performance in China’s regional tourism system," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-14, December.
    5. Zhou, Sheng & Xu, Zhiwei, 2022. "Energy efficiency assessment of RCEP member states: A three-stage slack based measurement DEA with undesirable outputs," Energy, Elsevier, vol. 253(C).
    6. Qing Yang & Lingmei Fu & Xingxing Liu & Mengying Cheng, 2018. "Evaluating the Efficiency of Municipal Solid Waste Management in China," IJERPH, MDPI, vol. 15(11), pages 1-23, November.
    7. Pengyu Ren & Zhaoxia Liu, 2021. "Efficiency Evaluation of China’s Public Sports Services: A Three-Stage DEA Model," IJERPH, MDPI, vol. 18(20), pages 1-12, October.
    8. Yufeng Chen & Zhitao Zhu & Lin Zhuang, 2022. "Exploring the Ecological Performance of China’s Tourism Industry: A Three-Stage Undesirable SBM-DEA Approach with Carbon Footprint," IJERPH, MDPI, vol. 19(22), pages 1-18, November.

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