earticle

논문검색

COVID팬데믹으로 인한 온라인 식료품 및 음식 주문 변화 유형 분석 : 잠재계층분석을 이용하여

초록

영어

The purpose of this paper is to analyze consumers’ heterogeneous reactions to the COVID pandemic in terms of online grocery and food shopping. Using a survey data collected by the Korea Rural Economic Institute, the latent class analysis was conducted to categorize consumers’ changes in online grocery and food shopping during the pandemic and discussed the difference between the groups. The results of this research would be of interest to researchers and practitioners in the e-commerce field to better understand consumers’ reactions to a disruptive event and thus better establish business strategies. As the management information systems play an important role in e-commerce, the results would also enrich the existing literature on the management information systems and e-commerce.

목차

Abstract
Introduction
Methods
Data Description
Modeling Technique
Preliminary Results
Conclusion
Acknowledgments
References

저자정보

  • Woojung Kim Incheon National University Graduate School of Logistics

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 기관로그인 시 무료 이용이 가능합니다.
      ※ 학술발표대회집, 워크숍 자료집 중 4페이지 이내 논문은 '요약'만 제공되는 경우가 있으니, 구매 전에 간행물명, 페이지 수 확인 부탁 드립니다.

      • 3,000원

      0개의 논문이 장바구니에 담겼습니다.