Influence of social media on operational efficiency of national scenic spots in china based on three-stage DEA model |
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| Institution: | 1. King Abdulaziz University, Faculty of Economics and Administration, Jeddah 21589, Saudi Arabia;2. HEC Montreal, Marketing Department 3000 Côte Sainte-Catherine, Montreal, QC H3T 2A7, Canada;1. College of Information Technology, Department of Information Systems, University Tenaga Nasional, Selangor, Malaysia;2. Department of Aviation & Supply Chain Management, Raymond J. Harbert College of Business, Auburn University, Auburn, AL 36849, USA;3. Department of Information System, University Putra Malaysia (UPM), 43300 Serdang, Selangor, Malaysia;4. Azad University, Tehran, Iran;5. University of Science and Culture, Tehran, Iran;1. WHU—Otto Beisheim School of Management, Burgplatz 2, 56179 Vallendar, Germany;2. University of North Florida, Coggin College of Business, 1 UNF Drive, Jacksonville, FL 32224, USA;3. Florida State University, College of Business, 821 Academic Way, Tallahassee, FL 32306, USA;1. CJ Olive Networks, Seoul, Republic of Korea;2. Graduate School of Information, Yonsei University, 50 Yonsei-Ro, Seodaemun-Gu, Seoul 120-749, Republic of Korea;3. School of Business Administration, Ulsan National Institute of Science and Technology (UNIST), 50 UNIST-gil, Ulsan 44919, Republic of Korea;1. Instituto de Ingeniería de Alimentos para el Desarrollo, Departamento de Tecnología de Alimentos, Universidad Politécnica de Valencia, Camino de Vera, s/n, 46022 Valencia, Spain;2. Laboratorio de Estudios Métricos de Información (LEMI), Departamento de Bibliotecomía y Documentación, Universidad Carlos III, Avenida de la Universidad, 30, 28911 Leganes, Madrid, Spain;3. Instituo de Gestión de la Información y del Conocimiento (CSIC—Universidad Politécnica de Valencia), UISYS (Universidad de Valencia), Plaza Cisneros, 4, 46003 Valencia, Spain |
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| 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. |
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| Keywords: | Social media Operational performance Three-stage DEA National scenic spots |
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