Gonca Soysal Data-verified
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
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Biography and Research Information
OverviewAI-generated summary
Gonca Soysal's research focuses on understanding consumer behavior within retail environments, particularly in the context of multichannel and online sales. Her work investigates how different retail strategies impact customer purchasing decisions and explores the dynamics of the fashion goods market. This includes examining the effects of long-tail phenomena and developing analytical models for attribute-based markdown policies to help retailers manage seasonal goods and demand uncertainty. Soysal has published 17 scholarly works, accumulating over 500 citations, and holds an h-index of 8. Her recent publications in 2022 explore the integration of online and offline retail, multichannel customer purchase behavior, and markdown strategies for seasonal fashion items.
Metrics
- h-index: 8
- Publications: 17
- Citations: 527
Selected Publications
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Multichannel customer purchase behavior and long tail effects in the fashion goods market (2022)
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Alleviating demand uncertainty for seasonal goods: An analysis of attribute-based markdown policy for fashion retailers (2022)
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Online and offline retailing: What we know and directions for future research (2022)
Collaboration Network
Top Collaborators
- Online and offline retailing: What we know and directions for future research
- Multichannel customer purchase behavior and long tail effects in the fashion goods market
- Alleviating demand uncertainty for seasonal goods: An analysis of attribute-based markdown policy for fashion retailers
- Online and offline retailing: What we know and directions for future research
- Multichannel customer purchase behavior and long tail effects in the fashion goods market
- Online and offline retailing: What we know and directions for future research
- Alleviating demand uncertainty for seasonal goods: An analysis of attribute-based markdown policy for fashion retailers
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