Forecasting Offline Retail Sales in the COVID-19 Pandemic Period: A Case Study of a Complex Shopping Mall in South Korea
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kim, Hee-Jeong | - |
dc.contributor.author | Kim, Ju-Hyung | - |
dc.contributor.author | Im, Jin-Bin | - |
dc.date.accessioned | 2023-06-01T07:22:44Z | - |
dc.date.available | 2023-06-01T07:22:44Z | - |
dc.date.created | 2023-05-03 | - |
dc.date.issued | 2023-03 | - |
dc.identifier.issn | 2075-5309 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/186035 | - |
dc.description.abstract | This study examines the case of a shopping mall in Seoul, South Korea, based on its offline retail sales data during the period of the enforcement of the COVID-19 pandemic social distancing policy. South Korea implemented strict social distancing, especially in retail categories where people eat out, due to the danger of spreading infectious disease. A total of 55 retail shops’ sales data were analyzed and classified into five categories: fashion, food and beverage (f&b), entertainment, cosmetics and sport. Autoregressive integrated moving average (ARIMA) and exponential smoothing (ETS) models were employed, and the autocorrelation (ACF) and partial autocorrelation (PACF) of each retail category’s sales data were analyzed. The mean absolute percentage error (MAPE) was used to determine the most suitable forecasting model for each retail category. In this way, the f&b and entertainment retail categories, in which people eat out, were found to have been significantly impacted, with their 2022 sales forecasted to be less than 80% of their 2018 and 2019 sales. The fashion retail category was also significantly impacted, slowly recovering sales in 2022. The cosmetics and sport retail categories were little impacted by the COVID-19 outbreak, with their retail sales having already recovered by 2022. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | MDPI | - |
dc.title | Forecasting Offline Retail Sales in the COVID-19 Pandemic Period: A Case Study of a Complex Shopping Mall in South Korea | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Ju-Hyung | - |
dc.identifier.doi | 10.3390/buildings13030627 | - |
dc.identifier.scopusid | 2-s2.0-85151713131 | - |
dc.identifier.wosid | 000968483700001 | - |
dc.identifier.bibliographicCitation | Buildings, v.13, no.3, pp.1 - 13 | - |
dc.relation.isPartOf | Buildings | - |
dc.citation.title | Buildings | - |
dc.citation.volume | 13 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 1 | - |
dc.citation.endPage | 13 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Construction & Building Technology | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Construction & Building Technology | - |
dc.relation.journalWebOfScienceCategory | Engineering, Civil | - |
dc.subject.keywordPlus | MODELS | - |
dc.subject.keywordPlus | PERFORMANCE | - |
dc.subject.keywordAuthor | ARIMA | - |
dc.subject.keywordAuthor | COVID-19 pandemic | - |
dc.subject.keywordAuthor | exponential smoothing | - |
dc.subject.keywordAuthor | offline retail | - |
dc.subject.keywordAuthor | sales forecasting | - |
dc.identifier.url | https://www.mdpi.com/2075-5309/13/3/627 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.