Impact of social media posts on travelers’ attitudes and behaviors towards a destination after a natural disaster: moderating role of the source of the post

References

• Ai, J., Chi, O. H., & Ouyang, Z. (2019). Categorizing peer-to-peer review site features and examining their impacts on room sales. Journal of Hospitality Marketing & Management, 28(7), 862–881.
   Web of Science ®Google Scholar
• Akhtar, N., Sun, J., Chen, J., & Akhtar, M. N. (2020). The role of attitude ambivalence in conflicting online hotel reviews. Journal of Hospitality Marketing & Management, 29(4), 471–502.
   Web of Science ®Google Scholar
• Assaker, G. (2020). Age and gender differences in online travel reviews and user-generated-content (UGC) adoption: Extending the technology acceptance model (TAM) with credibility theory. Journal of Hospitality Marketing & Management, 29(4), 428–449.
   Web of Science ®Google Scholar
• Aydin, G. (2020). Social media engagement and organic post effectiveness: A roadmap for increasing the effectiveness of social media use in hospitality industry. Journal of Hospitality Marketing & Management, 29(1), 1–21.
   Web of Science ®Google Scholar
• Baker, J., Parasuraman, A., Grewal, D., & Voss, G. B. (2002). The influence of multiple store environment cues on perceived merchandise value and patronage intentions. Journal of Marketing, 66(2), 120–141. https://doi.org/10.1509/jmkg.66.2.120.18470
   Web of Science ®Google Scholar
• Bhavaraju, S. K. T., Beyney, C., & Nicholson, C. (2019). Quantitative analysis of social media sensitivity to natural disasters. International Journal of Disaster Risk Reduction, 39, 101251.
   Web of Science ®Google Scholar
• Biggs, D., Hall, C. M., & Stoeckl, N. (2012). The resilience of formal and informal tourism enterprises to disasters: Reef tourism in Phuket, Thailand. Journal of Sustainable Tourism, 20(5), 645–665. https://doi.org/10.1080/09669582.2011.630080
   Web of Science ®Google Scholar
• Calgaro, E., Dominey-Howes, D., & Lloyd, K. (2014). Application of the destination dustainability framework to explore the drivers of vulnerability and resilience in Thailand following the 2004 Indian Ocean tsunami. Journal of Sustainable Tourism, 22(3), 361–383. https://doi.org/10.1080/09669582.2013.826231
   Web of Science ®Google Scholar
• Chan, C. S., Nozu, K., & Cheung, T. O. L. (2020). Tourism and natural disaster management process: Perception of tourism stakeholders in the case of Kumamoto earthquake in Japan. Current Issues in Tourism, 23(15), 1864–1885. https://doi.org/10.1080/13683500.2019.1666809
   Web of Science ®Google Scholar
• Fang, F. J., Wang, G. H., & Xu, X. L. (2010). Formation mechanism about unilateral appearing of emergency network opinion: Based on the netizens. Journal of Intelligence, 29(4), 26–30.
   Google Scholar
• Faulkner, B. (2001). Towards a framework for tourism disaster management. Tourism Management, 22(2), 135–147. https://doi.org/10.1016/S0261-5177(00)00048-0
   Web of Science ®Google Scholar
• Filimonau, V., & De Coteau, D. (2020). Tourism resilience in the context of integrated destination and disaster management (DM2). International Journal of Tourism Research, 22(2), 202–222. https://doi.org/10.1002/jtr.2329
   Web of Science ®Google Scholar
• Galvani, A. (2017). A review of business and post-disaster management: Business, organisational and consumer resilience and the Christchurch earthquake, edited by C. Michael Hall, Sanna Malinen, Rob Vosslamber, and Russell Wordsworth. Journal of Sustainable Tourism, 25(11), 1694–1696. https://doi.org/10.1080/09669582.2017.1316590
   Web of Science ®Google Scholar
• Granville, F., Mehta, A., & Pike, S. (2016). Destinations, disasters and public relations: Stakeholder engagement in multi-phase disaster management. Journal of Hospitality and Tourism Management, 28, 73–79. https://doi.org/10.1016/j.jhtm.2016.02.001
   Web of Science ®Google Scholar
• Hayes, A. F. (2009). Beyond Baron and Kenny: Statistical mediation analysis in the new millennium. Communication Monographs, 76(4), 408–420. https://doi.org/10.1080/03637750903310360
   Web of Science ®Google Scholar
• Hu, F. (2020). What makes a hotel review helpful? An information requirement perspective. Journal of Hospitality Marketing & Management, 29(5), 571–591.
   Web of Science ®Google Scholar
• Huang, J. H., Chuang, S. T., & Lin, Y. R. (2008). Folk religion and tourist intention avoiding tsunami-affected destinations. Annals of Tourism Research, 35(4), 1074–1078. https://doi.org/10.1016/j.annals.2008.06.007
   Web of Science ®Google Scholar
• Huang, J. H., & Min, J. C. H. (2002). Earthquake devastation and recovery in tourism: The Taiwan case. Tourism Management, 23(2), 145–154. https://doi.org/10.1016/S0261-5177(01)00051-6
   Web of Science ®Google Scholar
• Hu, X. Y., Bai, K., & Wang, L. (2013). Tourism destination image restoration strategy: Development and test of tourist behavior intention scale. Human Geography, 28(5), 139–146.
   Google Scholar
• Jin, X., Qu, M., & Bao, J. (2019). Impact of crisis events on Chinese outbound tourist flow: A framework for post-events growth. Tourism Management, 74, 334–344. https://doi.org/10.1016/j.tourman.2019.04.011
   PubMed Web of Science ®Google Scholar
• Kharouf, H., Sekhon, H., Fazal-e-Hasan, S. M., Hickman, E., & Mortimer, G. (2019). The role of effective communication and trustworthiness in determining guests’ loyalty. Journal of Hospitality Marketing & Management, 28(2), 240–262.
   Web of Science ®Google Scholar
• Khazai, B., Mahdavian, F., & Platt, S. (2018). Tourism Recovery Scorecard (TOURS) – Benchmarking and monitoring progress on disaster recovery in tourism destinations. International Journal of Disaster Risk Reduction, 27, 75–84. https://doi.org/10.1016/j.ijdrr.2017.09.039
   Web of Science ®Google Scholar
• Kim, E. J., Kim, S. H., & Lee, Y. K. (2019). The effects of brand hearsay on brand trust and brand attitudes. Journal of Hospitality Marketing & Management, 28(7), 765–784.
   Web of Science ®Google Scholar
• Laufer, D., Gillespie, K., Mcbride, B., & Gonzalez, S. (2005). The role of severity in consumer attributions of blame. Journal of International Consumer Marketing, 17(2–3), 33–50. https://doi.org/10.1300/J046v17n02_03
   Google Scholar
• Li, S., Liu, Z., & Li, Y. (2020). Temporal and spatial evolution of online public sentiment on emergencies. Information Processing & Management, 57(2), 102177 https://doi.org/10.1016/j.ipm.2019.102177
   PubMed Web of Science ®Google Scholar
• Li, D. J., Ma, Y. F., & Du, L. T. (2011). After missing a purchase the influence of regret on purchase intention. Nankai Business Review, 14(5), 141–152.
   Google Scholar
• Lin, Y., Kelemen, M., & Tresidder, R. (2018). Post-disaster tourism: Building resilience through community-led approaches in the aftermath of the 2011 disasters in Japan. Journal of Sustainable Tourism, 26(10), 1766–1783. https://doi.org/10.1080/09669582.2018.1511720
   Web of Science ®Google Scholar
• Liu, S. M., & Li, W. (2011). Study on the impact of tourists' winning-back tactics after disasters– Based on the empirical study of tourism in Sichuan province after Wenchuan earthquake. Tourism Tribune, 26(12), 41–48.
   Google Scholar
• Liu, S. M., Nan, J. F., & Li, W. (2010). Factor analysis on the reasons for tourist drain after serious natural disaster in scenic spots– Taking Sichuan tourism after the earthquake in Wenchuan as an example. Humanities & Social Sciences Journal of Hainan University, 28(2), 89–94.
   Google Scholar
• Li, M., Zhang, J., Dong, X. W., Zhong, S. E., Cai, Y. S., & Shangguan, X. Y. (2011). Study of tourist perception after the special natural disaster: A case study of Jiuzhaigou after "5.12" Wenchuan earthquake. Acta Geographica Sinica, 66(12), 1695–1706.
   Google Scholar
• Li, Y. C., Zhang, J., Liu, Z. H., Zhang, H. L., Su, X., & Chen, X. (2016). Resilience of domestic tourist market after crisis: A case study of Jiuzhai Valley. Tourism Tribune, 31(6), 104–112.
   Google Scholar
• Luna, S., & Pennock, M. J. (2018). Social media applications and emergency management: A literature review and research agenda. International Journal of Disaster Risk Reduction, 28, 565–577. https://doi.org/10.1016/j.ijdrr.2018.01.006
   Web of Science ®Google Scholar
• Lv, X., Li, C., & McCabe, S. (2020). Expanding theory of tourists' destination loyalty: The role of sensory impressions. Tourism Management, 77, 104026. https://doi.org/10.1016/j.tourman.2019.104026
   Web of Science ®Google Scholar
• Ma, L. J., & Sun, G. N. (2009). Influences of crisis in late thirty years to China's tourism and their comparison. Economic Geography, 29(6), 127–132.
   Google Scholar
• Magray, N. A. (2016). Impact of natural disaster on tourism in Jammu and Kashmir: A case study of flood 2014. International Journal of Research in Commerce & Management, 7(12), 88–90.
   Google Scholar
• Möller, C., Wang, J., & Nguyen, H. T. (2018). Stronger than Winston: Tourism and crisis communication through Facebook following tropical cyclones in Fiji. Tourism Management, 69, 272–284. https://doi.org/10.1016/j.tourman.2018.05.014
   Web of Science ®Google Scholar
• Morakabati, Y., Page, S. J., & Fletcher, J. (2017). Emergency management and tourism stakeholder responses to crises: A global survey. Journal of Travel Research, 56(3), 299–316. https://doi.org/10.1177/0047287516641516
   PubMed Web of Science ®Google Scholar
• Nijkrake, J., Gosselt, J. F., & Gutteling, J. M. (2015). Competing frames and tone in corporate communication versus media coverage during a crisis. Public Relations Review, 41(1), 80–88. https://doi.org/10.1016/j.pubrev.2014.10.010
   Web of Science ®Google Scholar
• Novelli, M., Burgess, L. G., Jones, A., Ritchie, B. W. (2018). No Ebola… still doomed’– The Ebola-induced tourism crisis. Annals of Tourism Research, 70, 76–87. https://doi.org/10.1016/j.annals.2018.03.006
   PubMed Web of Science ®Google Scholar
• Okuyama, T. (2018). Analysis of optimal timing of tourism demand recovery policies from natural disaster using the contingent behavior method. Tourism Management, 64, 37–54. https://doi.org/10.1016/j.tourman.2017.07.019
   PubMed Web of Science ®Google Scholar
• Orchiston, C. (2012). Seismic risk scenario planning and sustainable tourism management: Christchurch and the Alpine Fault zone, South Island, New Zealand. Journal of Sustainable Tourism, 20(1), 59–79. https://doi.org/10.1080/09669582.2011.617827
   Web of Science ®Google Scholar
• Pogrebnyakov, N., & Maldonado, E. (2018). Didn’t roger that: Social media message complexity and situational awareness of emergency responders. International Journal of Information Management, 40, 166–174. https://doi.org/10.1016/j.ijinfomgt.2018.02.004
   Web of Science ®Google Scholar
• Przybylski, A. K., Murayama, K., Dehaan, C. R., & Gladwell, V. (2013). Motivational, emotional, and behavioral correlates of fear of missing out. Computers in Human Behavior, 29(4), 1841–1848. https://doi.org/10.1016/j.chb.2013.02.014
   Web of Science ®Google Scholar
• Ragini, J. R., Anand, P. M. R., & Bhaskar, V. (2018). Big data analytics for disaster response and recovery through sentiment analysis. International Journal of Information Management, 42, 13–24. https://doi.org/10.1016/j.ijinfomgt.2018.05.004
   Web of Science ®Google Scholar
• Rindrasih, E., Witte, P. A., Spit, T. J. M., & Zoomers, E. B. (2019). Tourism and Disasters: Impact of disaster events on tourism development in Indonesia 1998–2016 and structural approach policy responses. Journal of Service Science and Management, 12(02), 93–115. https://doi.org/10.4236/jssm.2019.122006
   Google Scholar
• Ritchie, B. W., & Jiang, Y. (2019). A review of research on tourism risk, crisis and disaster management: Launching the annals of tourism research curated collection on tourism risk, crisis and disaster management. Annals of Tourism Research, 79, 102812. https://doi.org/10.1016/j.annals.2019.102812
   Web of Science ®Google Scholar
• Rittichainuwat, B., Nelson, R., & Rahmafitria, F. (2018). Applying the perceived probability of risk and bias toward optimism: Implications for travel decisions in the face of natural disasters. Tourism Management, 66, 221–232. https://doi.org/10.1016/j.tourman.2017.09.013
   Web of Science ®Google Scholar
• Rosselló, J., Becken, S., & Santana-Gallego, M. (2020). The effects of natural disasters on international tourism: A global analysis. Tourism Management, 79, 104080. https://doi.org/10.1016/j.tourman.2020.104080
   PubMed Web of Science ®Google Scholar
• Ruan, W. Q., Li, Y. Q., & Liu, C. H. S. (2017). Measuring tourism risk impacts on destination image. Sustainability, 9(9), 1501. https://doi.org/10.3390/su9091501
   Web of Science ®Google Scholar
• Sausmarez, N. (2007). Crisis management, tourism and sustainability: The role of indicators. Journal of Sustainable Tourism, 15(6), 700–714.
   Google Scholar
• Seraphin, H. (2019). Natural disaster and destination management: The case of the Caribbean and hurricane Irma. Current Issues in Tourism, 22(1), 21–28. https://doi.org/10.1080/13683500.2017.1422483
   Web of Science ®Google Scholar
• Sharifi, S. (2019). Examining the impacts of positive and negative online consumer reviews on behavioral intentions: Role of need for cognitive closure and satisfaction guarantees. Journal of Hospitality Marketing & Management, 28(4), 397–426.
   Web of Science ®Google Scholar
• Smith, K. S., Mccreadie, R., Macdonald, C., & Ounis, I. (2018). Regional sentiment bias in social media reporting during crises. Information Systems Frontiers, 20(5), 1013–1025. https://doi.org/10.1007/s10796-018-9827-x
   Web of Science ®Google Scholar
• Sun, Y., Zhou, H., Wall, G., & Wei, Y. (2017). Cognition of disaster risk in a tourism community: An agricultural heritage system perspective. Journal of Sustainable Tourism, 25(4), 536–553. https://doi.org/10.1080/09669582.2016.1224890
   Web of Science ®Google Scholar
• Tang, H. J., & Zhang, J. (2013). Characteristics of the influence of unexpected event on the accessibility perceived by tourists: Taking the tourists to Jiuzhaigou Scenic Spot after "5.12" Earthquake as an example. Progress in Geography, 32(2), 251–261.
   Google Scholar
• Tybout, A. M. (1978). Relative effectiveness of three behavioral influence strategies as supplements to persuasion in a marketing context. Journal of Marketing Research, 15(2), 229–242. https://doi.org/10.1177/002224377801500206
   Web of Science ®Google Scholar
• Wang, H. Y. (2017). Determinants hindering the intention of tourists to visit disaster-hit destinations. Current Issues in Tourism, 20(5), 459–479. https://doi.org/10.1080/13683500.2015.1062471
   Web of Science ®Google Scholar
• Wu, L., & Shimizu, T. (2020). Analyzing dynamic change of tourism destination image under the occurrence of a natural disaster: Evidence from Japan. Current Issues in Tourism, 23(16), 2042–2058. https://doi.org/10.1080/13683500.2020.1747993
   Web of Science ®Google Scholar
• Wu, L., Zhang, J., Lu, Q., & Rahman, A. B. M. S. (2017). Tourist adaptation behavior in response to climate disasters in Bangladesh. Journal of Sustainable Tourism, 25(2), 217–233. https://doi.org/10.1080/09669582.2016.1195837
   Web of Science ®Google Scholar
• Xia, L., Jiang, G., Song, Y., & Song, B. (2015). Modeling and analyzing the interaction between network rumors and authoritative information. Entropy, 17(1), 471–482. https://doi.org/10.3390/e17010471
   Web of Science ®Google Scholar
• Yi, S., & Jai, T. (2020). Impacts of consumers’ beliefs, desires and emotions on their impulse buying behavior: Application of an integrated model of belief-desire theory of emotion. Journal of Hospitality Marketing & Management, 29(6), 662–681.
   Web of Science ®Google Scholar