[논문]COVID-19 불안감과 식생활 라이프스타일에 따른 드론 음식배달 서비스에 대한 소비자 태도

조군위; 박현정

doi:10.14400/jdc.2022.20.2.175

[국내논문] COVID-19 불안감과 식생활 라이프스타일에 따른 드론 음식배달 서비스에 대한 소비자 태도
The Influence of the COVID-19 Anxiety and Dietary Lifestyles on the Drone Food Delivery Service Attitude 원문보기

디지털융복합연구 = Journal of digital convergence, v.20 no.2, 2022년, pp.175 - 184

초록
AI-Helper

본 연구는 COVID-19 불안감이 식생활 라이프스타일에 미치는 영향과 라이프스타일에 따른 드론 음식배달 서비스 태도에 미치는 영향을 조사하였다. 356명 중국 소비자를 대상으로 한 설문조사 연구결과는 첫째, COVID-19 불안감은 건강 지향형, 안전 지향형, 편의 지향형 라이프스타일과 정(+)의 관계가 있었다. 둘째, 건강 지향형, 유행 지향형, 편의 지향형의 경우 드론 음식배달 서비스의 안정성, 신속성, 부합성 인식과 긍정적인 관계가 있는 것으로 나타났다. 미각 지향형 라이프스타일은 서비스 안정성 인식, 안전 지향형 라이프스타일은 안정성 및 신속성 인식과 긍정적인 관계가 있는 것으로 나타났다. 셋째, 서비스의 인식된 안정성, 신속성, 부합성은 서비스 이용의도를 높이는 것으로 나타났다. 본 연구 결과는 COVID-19 불안감이 식생활 라이프스타일과 연관되어 드론 음식 배달서비스에 대한 소비자 태도에 영향을 미친다는 것을 보여준다.

Abstract ▼ AI-Helper

This study investigates the impact of COVID-19 anxiety on dietary lifestyle and the effect of different dietary lifestyle on the intention to use drone food delivery services. A questionnaire survey was conducted among 356 Chinese consumers aware of drone food delivery services. Results show that First, COVID-19 anxiety significantly impacted dietary lifestyle, including health pursuit, safety pursuit, and convenience pursuit. Second, the dietary lifestyle of health pursuit, fashion pursuit, and convenience pursuit positively affected service perceptions, including perceived safety and perceived rapidity, perceived compatibility. The dietary lifestyle of taste pursuit positively associated with safety of drone food delivery service, while the dietary lifestyle of safety pursuit positively related to safety and rapidity of drone food delivery services. Third, the perceptions related to security, rapidity, and compatibility of drone food delivery services enhanced service usage intention. Results show that COVID-19 anxiety was positively associated with dietary lifestyle, influencing consumer attitudes toward drone food delivery services.

주제어

표/그림 (5)

표 Table 1. The characteristics of samples
표 Table 2. Measurement items
그림 Fig. 1. Structural equation modeling analysis
표 Table 3. Confirmatory factor analysis
표 Table 4. Path analysis

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