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데이터 마이닝을 이용한 배달앱 서비스품질 분석

  • 간행물
    한국경영정보학회 정기 학술대회 바로가기
  • 권호(발행년)
    2021 한국경영정보학회 춘계통합학술대회 (2021.06) 바로가기
  • 페이지
    pp.467-472
  • 저자
    정윤정, 이종화
  • 언어
    한국어(KOR)
  • URL
    https://www.earticle.net/Article/A395431

원문정보

초록

영어
Food tech is reflected in the 4th industrial revolution and is rapidly changing (Schwab, 2016), and in particular, a delivery app that allows consumers to easily use food-out products through the fusion of an app that is an application program for smartphones and food delivery.The growth of was remarkable. With the spread of COVID-19 in 2020, e-commerce and non-face-to-face related industries such as food delivery apps are showing a growing trend as a non-face-to-face consumption plan for consumers (Shin Ki-dong, Yoo Min-ji, 2020). In addition, due to the increase in single-person households and changes in the population composition and consumption platform, the delivery food market has continuously expanded, and the size of the delivery app market in Korea, represented by Yogiyo, the people of delivery, and delivery boxes, is steadily increasing. In this study, considering the characteristics of the delivery app, consumers' reactions, that is, satisfaction and dissatisfaction, are reviewed by data mining, and the effect of service quality factors on customer satisfaction is to be understood. As a result, food quality and packaging quality had a positive effect on customer satisfaction and continued use intention.

목차

Abstract
1. 서론
2. 선행연구
2.1 배달앱
2.2 배달앱의 지각된 서비스품질
2.3 고객만족
2.4 지속이용의도
2.5 데이터 마이닝(Data Mining)
3. 연구 방법
3.1 연구모형
3.2 가설설정
4. 연구 실험과 결과
4.1 변수의 조작적 정의
4.2 표본추출 방법 및 분석방법
4.3 분석결과
5. 결론
References

저자

  • 정윤정 [ 경성대학교 박사 ]
  • 이종화 [ 동의대학교 e비즈니스학과 ]

참고문헌

자료제공 : 네이버학술정보

    간행물 정보

    • 간행물
      한국경영정보학회 정기 학술대회 [KMIS Conference]
    • 간기
      반년간
    • 수록기간
      1990~2025
    • 십진분류
      KDC 325 DDC 658