Tracy Ann Sykes Source Confirmed
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Associate Professor
University of Arkansas at Fayetteville
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Biography and Research Information
OverviewAI-generated summary
Tracy Ann Sykes is an Associate Professor at the University of Arkansas at Fayetteville. Her research focuses on understanding the dynamics of information dissemination and its impact on behavior, particularly in the context of public health crises. Her recent work investigates the spread and consequences of misinformation, such as "fake news" related to COVID-19, and explores the role of fact-checking in mitigating its effects. Sykes also examines psychological factors, like conscientiousness, and their influence on individual experiences and coping mechanisms during the pandemic.
Further research by Sykes delves into the implementation and strain associated with healthcare systems, specifically noting the challenges encountered during the adoption of e-healthcare platforms. Her work also calls for greater attention to temporal aspects within information system research, suggesting a need for studies that consider the time-dependent nature of information and its effects. Sykes leads a research group and is recognized as a highly cited researcher, with an h-index of 21 and over 2,400 citations across 34 publications.
Metrics
- h-index: 21
- Publications: 34
- Citations: 2,479
Selected Publications
- We Are All in This Together, or Are We? Job Strain and Coping in the Context of an E-Healthcare System Implementation (2022) DOI
- Risks and Rewards of Conscientiousness during the COVID-19 Pandemic (2021) DOI
- The Future is Now: Calling for a Focus on Temporal Issues in Information Systems Research (2021)
- Combating COVID-19Fake News on Social Media through Fact Checking: Antecedents and Consequences (2021) DOI
- Risks and rewards of conscientiousness during the COVID-19 pandemic. (2021) DOI
- Combating COVID-19 fake news on social media through fact checking: antecedents and consequences (2021) DOI
- The future is now: calling for a focus on temporal issues in information system research (2021) DOI
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