원문정보
초록
영어
Based on Chinese consumers' understanding and use of UAV(Unmanned Aircraft Delivery) on SNS(Social Networking Services), this paper arrempts to analyze the factors that affect consumers' acceptance and use of UAV delivery. This Study collected big data on UAV delivery key words by using the big data integration platform known as Textom from October 7, 2018 to October 30, 2018. Using UCINET to analyze the sorted data with Concor cluster analysis, firstly, this study analyzed the current public perception of drone delivery on social networks in China. The study summarized eight factors that affect consumers' understanding and use of UAV delivery. This study has developed a research model based on the Technology Acceptance Model (TAM). The research hypothesis of the study was tested by using smartpls 3.0 software. The research results show that consumers' perception of UAV service level, the social effects of UAV delivery, the UAV technology level, and regional differences have a positive impact on consumers’ willingness to accept and use UAV delivery. Based on the results of the research, this paper puts forth some suggestions on the growth of UAV delivery for logistics enterprises. The results of this study can provide a theoretical basis and references for the growth of UAV delivery as used by logistics companies.
목차
1. 서론
2. 이론적 배경
2.1. 드론 택배에 관한 연구
2.2. 빅 데이터
2.3. 기술수용모형
2.4. 사회 네트워크 분석
3. 소셜 네트워크 빅데이터 분석
3.1. 소셜 네트워크 빅데이터의 수집
3.2. 소셜 네트워크 빅데이터의 분석
4. 연구모형 및 가설
4.1. 연구 모형
4.2. 연구 가설
5. 실증 분석
5.1. 설문지 설계및 데이터 수집
5.2. 데이터 분석 및 모델 검증
6. 결론 및 시사점
참고문헌