본 연구는 다각적인 텍스트 마이닝 분석을 통해 소비자의 행동 패턴을 파악하고, 주요 구매 요인 및 제품 패키징 전략을 도출하는 것을 목표로 한다. 이를 위해, 한국의 3대 인기 수산물인 고...

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https://www.riss.kr/link?id=A109243393
2024
Korean
온라인 고객 리뷰 ; 수산물 시장 ; 워드 클라우드 ; 연관규칙 ; 토픽 모델링 ; Online Consumer Reviews ; Seafood Market ; Word Cloud ; Associate Rule ; Topic Modeling
KCI등재
학술저널
211-230(20쪽)
0
상세조회0
다운로드본 연구는 다각적인 텍스트 마이닝 분석을 통해 소비자의 행동 패턴을 파악하고, 주요 구매 요인 및 제품 패키징 전략을 도출하는 것을 목표로 한다. 이를 위해, 한국의 3대 인기 수산물인 고...
본 연구는 다각적인 텍스트 마이닝 분석을 통해 소비자의 행동 패턴을 파악하고, 주요 구매 요인 및 제품 패키징 전략을 도출하는 것을 목표로 한다. 이를 위해, 한국의 3대 인기 수산물인 고등어, 오징어, 김에 대한 소비자 리뷰 데이터를 통해 워드 클라우드, 연관규칙 분석, LDA 분석을 다각적으로 수행하였다. 그 결과, 소비자들은 수산물 구매 시 맛, 신선도, 편의성, 가격, 품질, 배송, 보관 방법 등을 주요 고려 요소로 인식하고 있는 것으로 나타났다. 특히, 수산물 가공 식품을 구매하는 용도를 파악할 수 있었고, 신선도와 맛을 강조하는 패키징, 핵심 구매대상을 위한 패키징, 진공 포장, 개별 포장, 냉동 보관 가능한 제품 개발 등의 필요성을 제안하였다. 또한, 가격과 배송 및 품질 보증 마크나 인증서를 패키지에 포함하여 신뢰성을 높이는 것을 제시하였다. 본 연구에서는 소비자 리뷰 데이터를 분석하여 설문조사나 인터뷰 방식의 한계를 극복하고 보다 객관적인 소비자 의견을 반영하고자 하였다. 연구 결과는 수산물 가공 업체들이 소비자의 요구사항을 파악하고 시장 경쟁력 강화에 필요한 상품 개발에 필요한 참고 자료로 활용될 것이다.
다국어 초록 (Multilingual Abstract)
This study aims to identify consumer behavior patterns and derive key purchasing factors and product packaging strategies through multifaceted text mining analysis. By leveraging word cloud analysis, association rule mining, and Latent Dirichlet Alloc...
This study aims to identify consumer behavior patterns and derive key purchasing factors and product packaging strategies through multifaceted text mining analysis. By leveraging word cloud analysis, association rule mining, and Latent Dirichlet Allocation (LDA), we analyzed online consumer reviews for the most popular seafood in Korea, such as mackerel, squid, and seaweed. The text mining results revealed that consumers prioritize taste, freshness, convenience, price, quality, delivery, and storage when purchasing. In particular, we identified the purposes for consumers purchasing processed seafood products. Proposed packaging strategies that emphasize freshness and taste, target key buyers, utilize vacuum packaging, individual packaging, and products suitable for frozen storage. Additionally, we suggested enhancing reliability by including quality assurance marks or certificates on the packaging, along with clear information on price and delivery options. By analyzing a vast amount of online consumer reviews, this study overcomes the limitations associated with traditional survey or interview methods, offering a more objective and accurate reflection of consumer opinions. The insights provided by this research are intended to serve as a valuable reference for seafood processing companies, helping them better meet consumer needs and enhance their competitiveness in the market. This paper ultimately contributes to a deeper understanding of consumer preferences and offers strategic guidance for the seafood industry in Korea.
참고문헌 (Reference)
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1 K. M. Elliott, "Understanding consumer-to-consumer influence on the web" Duke University ProQuest Dissertations Publishing
2 정다솜 ; LI QINGLONG ; 김재경, "The impact of the reviewer’s cultural background differences on online review evaluation : Focusing on the moderating effect of the cultural level" 23 (23): 215-240, 2023
3 I. Nonaka, "The concept of Ba : Building a foundation for knowledge creation" 40 (40): 40-54, 1998
4 김은경 ; 조대연, "The Trend Analysis of Need Analysis Research Using Topic Modeling and Keyword Network Analysis : Focused on Domestic Journals from 2012 to 2021" 24 (24): 397-421, 2022
5 김나은 ; 김민화, "The Impacts of Tourism e-WOM Information Characteristics and Community Interactivity on e-WOM Information Usefulness and e-WOM Effects" 11 (11): 17-44, 2010
6 강경심 ; 박용규 ; 서명지, "The Effect of COVID-19 Risk Perception on Safety-oriented Attitude and Purchase Intention of Online Fresh Food Customers" 8 (8): 65-80, 2022
7 김인규 ; 차성수, "The Dynamics of Online word-of-mouth and Marketing Performance : Exploring Mobile Game Application Reviews" 20 (20): 36-48, 2020
8 Ministry of Oceans and Fisheries, "The 1st Basic Plan for the Promotion of the Fisheries and Seafood Industry" Ministry of Oceans and Fisheries 2021
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