• 제목/요약/키워드: Online Customers

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토픽 모델링에 기반한 온라인 상품 평점 예측을 위한 온라인 사용 후기 분석 (Online Reviews Analysis for Prediction of Product Ratings based on Topic Modeling)

  • 박상현;문현실;김재경
    • 한국IT서비스학회지
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    • 제16권3호
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    • pp.113-125
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    • 2017
  • Customers have been affected by others' opinions when they make a purchase. Thanks to the development of technologies, people are sharing their experiences such as reviews or ratings through online or social network services, However, although ratings are intuitive information for others, many reviews include only texts without ratings. Also, because of huge amount of reviews, customers and companies can't read all of them so they are hard to evaluate to a product without ratings. Therefore, in this study, we propose a methodology to predict ratings based on reviews for a product. In a methodology, we first estimate the topic-review matrix using the Latent Dirichlet Allocation technic which is widely used in topic modeling. Next, we predict ratings based on the topic-review matrix using the artificial neural network model which is based on the backpropagation algorithm. Through experiments with actual reviews, we find that our methodology can predict ratings based on customers' reviews. And our methodology performs better with reviews which include certain opinions. As a result, our study can be used for customers and companies that want to know exactly a product with ratings. Moreover, we hope that our study leads to the implementation of future studies that combine machine learning and topic modeling.

Online Shopping Motivations, Information Search, and Shopping Intentions in an Emerging Economy

  • Singh, Devinder Pal
    • Asian Journal of Business Environment
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    • 제4권3호
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    • pp.5-12
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    • 2014
  • Purpose - This study is aimed at examining Indian consumers' online shopping motivations, information search, and shopping intentions. The study intends to reveal the relationship between online shopping motivations, information search, and shopping intentions. Research design, data, and methodology - The study employs factor analysis to verify correct loading of items on corresponding factors, and to confirm the applicability of constructs in the Indian context. The model was verified using stepwise regression analysis. Results -The findings show that hedonic and utilitarian motivations significantly affect online information search and shopping intentions. The information search is a significant predictor of online purchase intention. Conclusions - Hedonic and utilitarian motivations are the salient factors affecting online information search and purchase intentions. Marketers are required to design websites that foster an enjoyable online experience. This will attract customers who will browse the website for a longer duration. More time devoted to information search will ensure brand building and loyalty.

상품특징별 점수화를 이용한 상품리뷰요약 시스템의 설계 및 구현 (A product review summarization system using a scoring of features)

  • 양정연;명재석;이상구
    • 한국데이타베이스학회:학술대회논문집
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    • 한국데이타베이스학회 2008년도 연합학회학술대회
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    • pp.339-347
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    • 2008
  • 온라인 마켓에 수많은 상품정보가 공개됨에 따라, 소비자들은 장소나 시간에 구애 받지 않고 자신이 원하는 상품을 구매할 수 있게 되었다. 하지만, 온라인 마켓의 경우 소비자들이 직접 상품을 살펴볼 수 없기 때문에, 다른 사람의 상품리뷰가 구매 의사결정에 많은 영향을 미친다. 한편, 많은 수의 리뷰를 모두 살펴보는 것은 구매자에게 부담으로 느껴진다. 이에 따라 많은 양의 상품리뷰를 분석하여 소비자에게 정제된 정보를 제공할 필요성이 제기되고 있다. 본 논문에서는 자연어처리 및 통계적 분석을 활용하여 상품의 특징을 추출하고, 각 특징별 평가점수를 소비자에게 제공하여 상품의 장단점을 보다 쉽고 정확하게 알 수 있도록 하는 상품평가 시스템의 설계 및 구현에 대하여 다루었다. 상품특징별 평가를 소비자에게 제공함으로써, 소비자는 자신의 취향에 맞는 상품을 선택할 수 있는 기회를 얻을 수 있으며, 기업은 소비자의 상품에 대한 선호정보를 보다 구체적으로 파악할 수 있을 것으로 기대된다.

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고객관계관리를 위한 고객 분류 프레임워크 개발 : 온라인 자동차보험을 중심으로 (Developing A Framework of Customer Classification for Customer Relationship Management : Focusing on Online Auto Insurance)

  • 임세헌
    • 디지털융복합연구
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    • 제10권5호
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    • pp.67-78
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    • 2012
  • 최근 온라인 자동차보험에 대한 고객의 관심이 급증하고 있다. 그 이유는 경제성 측면에서 온라인 자동차보험이 소비자들에게 유용성을 제공해주기 때문이다. 오프라인에서 판매하는 자동차보험은 서비스 상품으로 온라인에서 판매하는 자동차보험 상품에 비해 상대적으로 높은 가격을 형성하고 있다. 이러한 특징에 힘입어 가격이 저렴한 온라인 자동차보험은 소비자들에게 큰 인기를 얻고 있다. 그렇기 때문에 소비자들은 온라인 자동차보험 상품 가격에 많은 관심을 가지고 있고, 자동차보험 상품 구입에 신중한 선택을 하고 있다. 본 연구에서는 소비자들이 온라인 자동차보험에 대해 느끼는 인지된 이익과 가격 수용성을 중심으로 $2{\times}2$ 매트릭스로 구성해 온라인 자동차보험 고객군을 온라인 수용형, 경제성 추구형, 편리 추구형, 신중 접근형으로 구분하였다. 이에 따라 본 연구에서는 온라인 자동차보험 웹사이트의 인지된 이용 용이성, 유용성, 태도, 구매의도에 사이의 관계를 분석하였다. 본 연구결과는 온라인에서 자동차보험 상품을 판매하는 기업들에게 소비자의 온라인 자동차보험 구매의도를 강화하기 위한 고객관계관리 전략 수립에 있어 유용한 시사점을 제공해 줄 것이다.

A Personalized Approach for Recommending Useful Product Reviews Based on Information Gain

  • Choeh, Joon Yeon;Lee, Hong Joo;Park, Sung Joo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제9권5호
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    • pp.1702-1716
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    • 2015
  • Customer product reviews have become great influencers of purchase decision making. To assist potential customers, online stores provide various ways to sort customer reviews. Different methods have been developed to identify and recommend useful reviews to customers, primarily using feedback provided by customers about the helpfulness of reviews. Most of the methods consider the preferences of all users to determine whether reviews are helpful, and all users receive the same recommendations.

온라인 고객 기반 확보의 장애 요인: 바이럴 마케팅의 현장 실험 연구 (Bottlenecks in Building an Online Customer Base: A Experimental Field Study on Viral Marketing)

  • 박선주;정승화;표나성;황순기
    • 한국콘텐츠학회논문지
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    • 제19권1호
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    • pp.682-695
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    • 2019
  • 최근에 기업은 신규 고객을 유입시키고, 신규 고객 및 기존 고객과 장기적인 관계를 갖기 위해 연결 플랫폼을 이용한 모바일 바이럴 마케팅 전략을 세우고 실행한다. 상호작용성을 가진 웹 2.0의 출현은 고객 참여의 폭발적 증가를 가져왔고, 실무자들은 고객과 가까운 관계를 구축하는데 도움이 되는 연결 플랫폼에 관심을 갖게 되었다. 그러나 기업에서 활용하는 연결 플랫폼을 이용한 다양한 고객 유입 방법들이 고객 참여 수준을 실제로 높이는지에 대한 효과성 연구는 부족하며, 따라서 이에 대한 연구가 필요한 시점이다. 본 연구는 Sashi(2012)의 이론적 연구에 기반하여 신규 고객을 유입시키고, 유입된 신규 고객과 장기적인 관계를 갖기 위한 목적으로 시행된 A사 오픈 마켓 쇼핑몰의 실제 모바일 바이럴 프로모션을 분석하였다. 고객 참여 유형을 분석함으로 모바일 바이럴 프로모션의 효과성에 대한 시사점을 제안한다. 첫째, 온라인 바이럴 프로모션의 즉각적인 효과를 본 결과, 프로모션은 신규 고객 유입에 있어 부분적으로 효과적이다. 둘째, 온라인 바이럴 프로모션의 장기적 효과를 보기 위해 고객의 참여 유형 변화를 살펴 본 결과, 대부분의 경우 유입된 신규 고객은 만족한 고객이 되지 못하였으며, 만족한 고객이 되기까지 시간이 걸리는 지체 현상이 확인됐다.

Customer Experience and Repurchase Intention in Multi-Channel: Customer Satisfaction as Mediating Variable

  • MUSTIKASARI, Anita;KRISNAWATI, Maria;SUTRISNO, Endro
    • 산경연구논집
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    • 제12권3호
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    • pp.7-19
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    • 2021
  • Purpose: This study aims to examine customer experience toward repurchase intention in offline and online stores and discuss customer satisfaction as a mediator variable. Research design, data, and methodology: This study investigates customer experience that consists of product, customer service, staff service, shopping environment and shopping procedure toward customer satisfaction using Regression Linear. This study also measures customer satisfaction as a mediated variable in the relationship between customer experience and repurchase intention using Sobel Test. Results: Almost all of the customer experience hypothesis is significant toward customer satisfaction, shopping process experience in the context of the online channel to customer satisfaction is not significant. We also found that customer satisfaction can be mediated variable in customer experience toward repurchase intention. Conclusions: Retails who want to make customers feel satisfied to have to make sure that have good resources in improving the product, the customer service is easy to contact to find the solution over customer problem in purchasing product, also develop the staff member skill in functional product knowledge, presentations, and communicating with customers online or offline, the retailer has to create enjoyment and pleasurable customer emotion through the shopping environment and also give seamless shopping experience to their customer in two-channel.

Gen Z's Intention to Repurchase Food Online in The Context of a Crisis: A Case Study in Vietnam Under COVID-19

  • Thuc Duc Tran
    • 유통과학연구
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    • 제21권12호
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    • pp.23-34
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    • 2023
  • Purpose: The purpose of this study is to identify factors affecting satisfaction as well as the intention of Gen Z customers to reorder food online in the context of a crisis. Research design, data and methodology: Data for this cross-sectional study were collected via the Internet by conducting an online survey of 652 Gen Z respondents, aged 15-25, in the south of Vietnam and using a convenience sampling method. To analyse the reliability of the scales, SPSS was used to run Cronbach's alpha. Then, SmartPLS was used to assess the measurement model, including variable reliability and validity, convergent validity, and discriminant validity of the proposed model, as well as test the hypotheses with partial least squares structural equation modelling (PLS-SEM). Results: Social influence, price value, and convenience all have a positive effect on satisfaction and repurchase intention. Satisfaction not only plays a critical role in mediating the relationship between social influence, price value, convenience and repurchase intention but also has a positive impact on repurchase intention towards buying food online. Conclusions: This study was successful in identifying the factors of repurchase intention in a crisis setting among Gen Z customers by developing a theoretical research model via literature to complete a brief Theory of Planned Behaviour model. This study also took an innovative approach to earlier ones by demonstrating not just the significant effect of social influence on satisfaction and repurchase intention, but also by identifying critical variables that managers should focus on increasing and improving management.

온라인 커뮤니티에서 공동체의식과 관계의 질, 고객충성도간의 관계에 관한 연구 : 만족, 신뢰, 몰입의 매개효과를 중심으로 (Relationships Among Sense of Community in Online Community, Relationship Quality and Customer Loyalty: The Mediating Effects of Satisfaction, Trust and Commitment)

  • 최혁라
    • Journal of Information Technology Applications and Management
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    • 제12권1호
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    • pp.69-90
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    • 2005
  • Online community as a business model has gotten much attention in online market. And it has been recognized as an increasingly important tool for better understanding and relationships with customers. Thus, There are needs for conducting researches, such as those being performed in social psychology area. Due to the lack of current researches on online community, variables that have been considered in social science and factors in relationship marketing are adopted in this study. The primary purpose of this research is to develop and test a model that explains the process of how sense of online community through relationship quality influences customer loyalty. The major findings of this study are as follows: First, sense of online community was found to have a positive influence on relationship quality. Second, relationship quality was found to have a strong positive effect on customer loyalty. Finally, relationship quality was found to have a mediation effect between the sense of online community and the customer loyalty. Implications of these findings are discussed for researchers and practitioners.

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소비자의 특성이 온라인 정보 탐색과 정보이용행위에 미치는 영향 (The Effect of Consumer Characteristics on Exploratory Information Search and Information Use Behavior)

  • 김아름;강현정
    • 한국IT서비스학회지
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    • 제15권1호
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    • pp.19-37
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    • 2016
  • Advance of the Internet environment is applied not only to information search but also to the area of consumption behavior. Current research analyzes online use behavior and online information search of consumers in terms of users' perception. With the result of the research, it is noticed that promotion focus brings broader variation of information use behavior, and utilitarian value has a beneficial impact on the online exploratory information search. In addition, it is revealed that the more exploratory the information search is, the wider the range of online shopping information search is. Finally, people who have utilitarian shopping value showed more exploratory behavior in online search, especially for the search of informational products, than those who have hedonic shopping value. Present research is believed to improve practical influence of consumers' personality on online use behavior when customers purchase search products online. As a result, it would contribute to consumer research and marketing held online.