The impact of electronic word-of-mouth on corporate performance during COVID-19

dc.contributor.authorHaj Khalifa, Ali
dc.contributor.authorNajaf, Khakan
dc.contributor.authorAtayah, Osama Fayez
dc.contributor.authorETAL..
dc.date.accessioned2024-07-25T07:28:06Z
dc.date.available2024-07-25T07:28:06Z
dc.date.issued2024
dc.descriptionWith the pervasive customer use of the internet for consumption-related activities, the information asymmetry between customers and marketers is increasingly narrowed
dc.description.abstractThis study attempts to understand the impact of electronic Word of Mouth (eWOM) on corporate financial performance during the COVID-19 pandemic. A supervised machine learning is used to determine the investors’ sentiment of a news story (eWOM) towards a given company from a long position (buying) investors perspective. Ordinary Least Square (OLS) and dynamic quantile regression are used to test the role of eWOM on financial performance. Results reveal no significant relationship between eWOM and the firm’s financial performance. Similarly, we do not find any evidence of an association between eWOM and corporate performance at different quantiles of financial performance. The findings contribute to the existing literature on eWOM and its impact on the financial performance during specific circumstances or financial crises. This study offers insights to researchers, policymakers, regulators, financial report users, investors, employees, clients, and society. Keywords: COVID-19, eWOM, Heterogeneity, OLS, Quantile regressionen
dc.identifier.citationHaj Khalifa, A., Najaf, K., Atayah, O. F., & Dhiaf, M. (2024). The impact of electronic word-of-mouth on corporate performance during COVID-19. Electronic Commerce Research, 24(1), 655-674.
dc.identifier.doihttps://doi.org/10.1007/s10660-023-09750-0
dc.identifier.urihttps://repository.adu.ac.ae/handle/1/6069
dc.language.isoen
dc.publisherSpringer Link
dc.titleThe impact of electronic word-of-mouth on corporate performance during COVID-19
dc.typeArticle

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