http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
신선식품 전자상거래 서비스에 대한 소비자 인식 및 시장 동향 분석: 텍스트 마이닝 기법의 활용
임채환(Chaehwan Lim),하준수(Jun-su Ha),조광휘(Kwang Hee Cho),하헌구(Hun-Koo Ha) 한국인터넷전자상거래학회 2021 인터넷전자상거래연구 Vol.21 No.4
As the competition in the fresh food e-commerce market intensifies, it has become important to identify various drivers that influence customers’ perception of the e-commerce service. The purpose of this paper is to analyze the fresh food e-commerce trend and the customers’ perception of fresh food e-commerce service. We apply text mining to online review data which show voluntary and direct experience or feedback from customers. To the best of our knowledge, this study is the first to conduct latent Dirichlet allocation(LDA), a topic modeling approach, and word cloud to a large number of customer online reviews for investigating the e-commerce market and service. The results reveal the continuous interest in the delivery service and delivery speed for fresh food products in the e-commerce market. Furthermore, various topics and topics’ relative importance which represent customers’ perception of fresh food e-commerce service suggest the insights for the direction of e-commerce corporate. We expect that this paper could fill the gap in studies about the fresh food E-commerce. Furthermore, such results can provide valuable information for the fresh food E-commerce corporations in establishing operational strategies.
AHP와 포터의 다이아몬드 모델을 이용한 공항경제권의 경쟁력 결정요인에 관한 연구
하준수 ( Ha¸ Jun-su ),임채환 ( Lim¸ Chaehwan ),조광휘 ( Cho¸ Kwang-hee ),하헌구 ( Ha¸ Hun-koo ) 한국로지스틱스학회 2021 로지스틱스연구 Vol.29 No.4
This paper aims to identify the priorities of the factors for determining the competitiveness of the Airport Economic Zone. To evaluate the relative importance of the factors, the AHP(analytical hierarchy process) based on expert surveys is used. The four decision factors that make up the Airport Economic Zone competitiveness analysis model were set to ‘Factor conditions’, ‘Demand conditions’, ‘The related and supportive companies’, ‘Management strategies and competition systems’. 'Human·Physical resources' and 'Logistics·Transportation infrastructure' were selected as sub-components of the ‘Factor conditions’, and 'Business demand' and 'Tourism·Logistics demand' were selected as sub-components of the ‘Demand conditions’. 'Core Industry Development Level' and 'Support facility status' were selected as sub-components of ‘The related and supportive companies’, and 'Management strategies' and 'Competitiveness in the hinterland' were selected as sub-components of ‘Management strategies and competition systems’. The competitiveness analysis model derived from this study is applicable to other Airport Economic Zones. Therefore, it is believed that implementing a comparative analysis with other Airport Economic Zone based on the analysis model presented in this study could lead to additional implications for the competitive determinants of the Airport Economic Zone.