https://scholars.lib.ntu.edu.tw/handle/123456789/638212
標題: | Have consumers escaped from COVID-19 restrictions by seeking variety? A Machine Learning approach analyzing wine purchase behavior in the United States | 作者: | Rinke, Wolfram SHUAY-TSYR HO |
關鍵字: | COVID-19 | data mining | Machine learning | purchase behavior | variety-seeking | wine | 公開日期: | 1-一月-2023 | 來源出版物: | Journal of Wine Economics | 摘要: | The COVID-19 pandemic itself constitutes an environment for people to experience the potential loss of control and freedom due to social distancing measures and other government orders. Variety-seeking has been treated as a mechanism to regain a sense of self-control. Using Machine Learning model and household-level data with a focus on the wine market in the United States, this study showcases the changing variety-seeking behavior over the pandemic year of 2020, in which people's perception of the status of restriction measures influences the degree of their use of variety-seeking behavior as a coping strategy. It is the shopping pattern and store environments that drive the behavioral responses in wine purchases to freedom-limited circumstances. Coupon use is associated with a lower variety-seeking tendency at the beginning of the stay-at-home order, but the variety level resumes when more time has passed in the restriction periods. Variety-seeking tendency increases with shopping frequency at the beginning of the social distancing measure but decreases to a level lower than all the non-restriction periods. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179425918&doi=10.1017%2fjwe.2023.25&partnerID=40&md5=5f025f0a4c15086c581424402bb72cb4 https://scholars.lib.ntu.edu.tw/handle/123456789/638212 |
ISSN: | 19314361 | DOI: | 10.1017/jwe.2023.25 |
顯示於: | 農業經濟學系 |
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