Jialie Chen
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
Also affiliated: Lund University (2017); Cornell University (2015–2016)
Faculty Researcher
Research Areas
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Biography and Research Information
OverviewAI-generated summary
Jialie Chen's research investigates consumer behavior within online retail environments. Chen has published work exploring strategies to enhance mobile retail channels, examining the impact of version upgrades, user visibility, and artificial intelligence on learning and skill set formation. Additionally, Chen has analyzed pricing strategies along the online shopping funnel, specifically the ending-9 pricing tactic, and modeled the interplay between purchases, returns, and return-based targeting strategies.
Chen's work also extends to evaluating the effectiveness of marketing solicitations. As a faculty member at the University of Arkansas at Fayetteville, Chen leads a research group. Chen's scholarship metrics include an h-index of 5, with 11 total publications and 161 total citations. Chen has received federal funding from the National Science Foundation (NSF) for two awards totaling $256,771. One grant supports conference activities for the 10th SIAM Central States Section Annual Meeting, with Chen serving as PI. The second NSF grant, also with Chen as PI, is for research on "Multiscale Differential Geometry Approaches to Protein Interaction Mechanisms."
Metrics
- h-index: 6
- Publications: 11
- Citations: 166
Selected Publications
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Learning and skill set formation: A structural examination of version upgrades, user visibility, and AI strategies (2023)
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Evaluating the ending‐9 pricing strategy along the online shopping funnel (2023)
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Measuring the Effects of Marketing Solicitations (2021)
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A structural model of purchases, returns, and return-based targeting strategies (2021)
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Insight is power: Understanding the terms of the consumer-firm data exchange (2020)
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A Dynamic Model of Rational Addiction with Stockpiling and Learning: An Empirical Examination of E-cigarettes (2020)
Federal Grants 2 $256,771 total
Multiscale Differential Geometry Approaches to Protein Interaction Mechanisms
Collaboration Network
Top Collaborators
- Measuring the Effects of Marketing Solicitations
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