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An Analysis of Retail Channel Consumption: Focusing on the Reduced Consumption at Hypermarkets

유통채널 소비 분석: 대형마트 소비 감소를 중심으로

  • Park, Jin Young (Department of Big Data Application and Security, Korea University) ;
  • Kim, Hyoung Joong (Department of Big Data Application and Security, Korea University)
  • 박진영 (고려대학교 정보보호대학원 빅데이터응용및보안학과) ;
  • 김형중 (고려대학교 정보보호대학원 빅데이터응용및보안학과)
  • Received : 2017.10.25
  • Accepted : 2017.11.25
  • Published : 2017.11.30

Abstract

In the context of domestic consumption environment changes such as expansion of smartphones and increase of single-person households, hypermarket, which was the mainstream of the existing retail market, have recorded negative growth for the last three years due to declining sales. And it is not enough to analyze the influence relationship with other retail channels or investigate the cause of consumption movement. In this study, we analyzed the decline in the growth rate of hypermarket by demographic variables, consumption time, etc. And logistic regression analysis revealed the relationship between the decrease in consumption of hypermarket and the change in the proportion of sales of other retail channels. In addition, we surveyed consumers who have decreased consumption of hypermarket based on actual card consumption data to determine why they choose different retail channels. This is significant in that the result of quantitative analysis of changes in retail channel consumption and the result of qualitative reasoning converged to give a stereoscopic view of consumption.

스마트폰 보급 확대, 1인 가구 증가 등의 국내 소비 환경 변화 속에서 기존 유통 시장의 주축이었던 대형마트는 매출이 감소하면서 최근 3년 동안 마이너스 성장률을 기록하고 있지만 대형마트 매출 관련된 연구는 주로 영업규제에 따른 효과 분석 위주였으며 다른 유통채널과의 영향관계 분석이나 소비 이동 사유 조사는 부족한 실정이다. 본 연구는 카드사 매출 빅데이터를 활용하여 대형마트 성장률 감소를 소비자의 인구통계학적 변수 및 소비시점 등에 따라 분석하고 로지스틱 회귀 분석을 통하여 대형마트 소비 감소와 다른 유통채널 매출비중 변화와의 관계 등을 실증적으로 규명하였다. 또한 실제 카드소비 데이터 기반 대형마트 소비 감소 소비자를 대상으로 설문조사를 수행하여 다른 유통채널 선택 사유가 무엇인지 밝혔다. 이는 유통채널 소비 변화에 대한 정량적 분석 결과와 정성적인 사유 조사 결과를 융합하여 소비에 대한 입체적인 조망을 하였다는 점에서 의의가 있다.

Keywords

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