Jialie Chen Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
Researcher
faculty
Research Areas
Links
Biography and Research Information
OverviewAI-generated summary
Jialie Chen, a faculty member at the University of Arkansas at Fayetteville, leads a research group focusing on the intersection of technology, consumer behavior, and marketing strategies. Chen's work investigates how various digital and marketing approaches influence purchasing decisions and consumer engagement within online retail environments.
Chen's research has explored the effectiveness of specific pricing strategies, such as the ending-9 pricing model, along the online shopping funnel. Additionally, their work examines the dynamics of retail mobile channels and evaluates different strategies for their promotion. Another area of investigation includes the structural examination of how version upgrades, user visibility, and artificial intelligence (AI) strategies contribute to learning and skill set formation within user communities. Chen also studies the interrelationships between purchases, returns, and the development of return-based targeting strategies, as well as the broader measurement of marketing solicitations' effects.
Chen has received funding from the National Science Foundation (NSF) for two awards totaling $256,771. One grant, for $24,000, supported the conference, The 10th SIAM Central States Section Annual Meeting at the University of Arkansas. A larger grant of $232,771 was awarded for research on "Multiscale Differential Geometry Approaches to Protein Interaction Mechanisms." Chen's scholarship metrics include an h-index of 5, with 10 total publications and 156 total citations.
Metrics
- h-index: 5
- Publications: 11
- Citations: 159
Selected Publications
-
Learning and skill set formation: A structural examination of version upgrades, user visibility, and AI strategies (2023)
-
Evaluating the ending‐9 pricing strategy along the online shopping funnel (2023)
-
Measuring the Effects of Marketing Solicitations (2021)
-
A structural model of purchases, returns, and return-based targeting strategies (2021)
Federal Grants 2 $256,771 total
Multiscale Differential Geometry Approaches to Protein Interaction Mechanisms
Collaboration Network
Top Collaborators
- Evaluating strategies for promoting retail mobile channel using a hidden Markov model
- Measuring the Effects of Marketing Solicitations
Similar Researchers
Based on overlapping research topics