Coronavirus Outbreak and its Impacts on Global Economy: The Role of Social Network Sites

Ali Ahani, Mehrbakhsh Nilashi

Abstract


Because of Wuhan 2019 Novel Coronavirus (COVID-19) outbreak around the world, global trade and supply chains have been interrupted by the uncertainties of this unexpected event. In this situation, customers and businesses need to make the right decisions at the right time. Social networking sites have become important for information sharing and online business effectiveness and played important roles in this unexpected event for the customers and businesses to make the right decisions with limited information. They can be a good choice to share information in real-time as they are recognized as a significant tool for public health and economic development. This work highlights the impact of Coronavirus outbreak on the global economy and the role of social network sites in sharing the customers' and businesses' information and concerns about the Coronavirus outbreak. The paper concludes with some examples of travelers’ concerns along with their feedback on social networking sites and recommendations for future works.


Keywords


Coronavirus outbreak, Information sharing, Global economy, Social media, COVID-19

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References


Ahani, A., Nilashi, M., Yadegaridehkordi, E., Sanzogni, L., Tarik, A.R., Knox, K., Samad, S. and Ibrahim, O. (2019). Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels. Journal of Retailing and Consumer Services, 51, 331-343.

Ahani, A., Rahim, N. Z. A., & Nilashi, M. (2017a). Firm performance through social customer relationship management: Evidence from small and medium enterprises. Paper presented at the 2017 International Conference on Research and Innovation in Information Systems (ICRIIS).

Ahani, A., Rahim, N. Z. A., & Nilashi, M. (2017b). Forecasting social CRM adoption in SMEs: A combined SEM-neural network method. Computers in Human Behavior, 75, 560-578.

Beutels, P., Jia, N., Zhou, Q. Y., Smith, R., Cao, W. C., & De Vlas, S. J. (2009). The economic impact of SARS in Beijing, China. Tropical Medicine & International Health, 14, 85-91.

Carminati, B., Ferrari, E., & Guglielmi, M. (2013). A system for timely and controlled information sharing in emergency situations. IEEE Transactions on Dependable and Secure Computing, 10(3), 129-142.

Dye, C., Bartolomeos, K., Moorthy, V., & Kieny, M. P. (2016). Data sharing in public health emergencies: a call to researchers. Bulletin of the World Health Organization, 94(3), 158-158.

Dye, C., Reeder, J. C., & Terry, R. F. (2013). Research for universal health coverage. In: American Association for the Advancement of Science.

Giustini, D., Ali, S. M., Fraser, M., & Boulos, M. N. K. (2018). Effective uses of social media in public health and medicine: a systematic review of systematic reviews. Online Journal of Public Health Informatics, 10(2).

Heymann, D. L. (2020). Data sharing and outbreaks: best practice exemplified. The Lancet, 395(10223), 469-470.

Keogh-Brown, M. R., & Smith, R. D. (2008). The economic impact of SARS: how does the reality match the predictions? Health policy, 88(1), 110-120.

Keogh‐Brown, M. R., Wren‐Lewis, S., Edmunds, W. J., Beutels, P., & Smith, R. D. (2010). The possible macroeconomic impact on the UK of an influenza pandemic. Health economics, 19(11), 1345-1360.

Kostova, D., Cassell, C. H., Redd, J. T., Williams, D. E., Singh, T., Martel, L. D., & Bunnell, R. E. (2019). Long‐distance effects of epidemics: Assessing the link between the 2014 West Africa Ebola outbreak and US exports and employment. Health economics, 28(11), 1248-1261.

Munster, V. J., Koopmans, M., van Doremalen, N., van Riel, D., & de Wit, E. (2020). A novel coronavirus emerging in China—key questions for impact assessment. New England Journal of Medicine, 382(8), 692-694.

Nghiem, L.T., Soliman, T., Yeo, D.C., Tan, H.T., Evans, T.A., Mumford, J.D., Keller, R.P., Baker, R.H., Corlett, R.T. and Carrasco, L.R. (2013). Economic and environmental impacts of harmful non-indigenous species in Southeast Asia. PLoS One, 8(8).

Nilashi, M., Ahani, A., Esfahani, M.D., Yadegaridehkordi, E., Samad, S., Ibrahim, O., Sharef, N.M. and Akbari, E. (2019). Preference learning for eco-friendly hotels recommendation: A multi-criteria collaborative filtering approach. Journal of Cleaner Production, 215, 767-783.

Nilashi, M., Ibrahim, O., Yadegaridehkordi, E., Samad, S., Akbari, E., & Alizadeh, A. (2018). Travelers decision making using online review in social network sites: A case on TripAdvisor. Journal of computational science, 28, 168-179.

Nilashi, M., Mardani, A., Liao, H., Ahmadi, H., Manaf, A. A., & Almukadi, W. (2019). A hybrid method with TOPSIS and machine learning techniques for sustainable development of green hotels considering online reviews. Sustainability, 11(21), 6013.

Nilashi, M., Yadegaridehkordi, E., Ibrahim, O., Samad, S., Ahani, A., & Sanzogni, L. (2019). Analysis of Travellers’ Online Reviews in Social Networking Sites Using Fuzzy Logic Approach. International Journal of Fuzzy Systems, 21(5), 1367-1378.

Suthar, A. B., Allen, L. G., Cifuentes, S., Dye, C., & Nagata, J. M. (2018). Lessons learnt from implementation of the International Health Regulations: a systematic review. Bulletin of the World Health Organization, 96(2), 110.

Verelst, F., Willem, L., & Beutels, P. (2016). Behavioural change models for infectious disease transmission: a systematic review (2010–2015). Journal of The Royal Society Interface, 13(125), 20160820.

Wu, F., Zhao, S., Yu, B., Chen, Y.M., Wang, W., Song, Z.G., Hu, Y., Tao, Z.W., Tian, J.H., Pei, Y.Y. and Yuan, M.L., 2020. (2020). A new coronavirus associated with human respiratory disease in China. Nature, 1-5.


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