• 제목/요약/키워드: Customer Online Shopping

검색결과 284건 처리시간 0.023초

온라인 쇼핑몰에서 서비스 품질과 신뢰가 고객만족과 충성도에 미치는 상대적 영향력 (Relative Effects of Service Quality and Trust on Customer Satisfaction and Loyalty for Online Shopping Malls)

  • 민동권;김대수;김기주
    • 한국산업정보학회논문지
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    • 제11권2호
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    • pp.29-39
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    • 2006
  • 온라인 쇼핑몰을 운영함에 있어서 서비스 품질과 신뢰는 매우 중요한 사안이다. 본 연구는 온라인 서비스 품질과 신뢰가 고객만족과 충성도에 미치는 영향을 살펴보고, 그 상대적 영향력을 분석하는데 초점을 맞추었다. 아울러 온라인 상황에서 서비스 품질의 여러 요소가 전반적 서비스 품질에 미치는 영향과 신뢰의 여러 요소가 전반적 신뢰에 미치는 영향을 분석하였다. 그 결과, 전체적으로 서비스 품질보다 신뢰가 더 큰 영향력을 미치고 있음을 밝혔다.

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거래가격 결정을 위한 에이전트의 의사결정규칙에 대한 연구 (Decision Rules of Intelligent Agents for Purchase Pricing Decision)

  • 주석진
    • 한국정보시스템학회지:정보시스템연구
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    • 제14권2호
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    • pp.55-74
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    • 2005
  • In order to purchase a product cheaper, a lot of customers have been trying to search one or more marketplaces. Ever since the commercial use of the Internet, several types of marketplaces have been operating successfully on the Internet. Some of them are online shopping malls, auction markets, and group-buying markets. They have the price settlement mechanisms of their own. Online shopping malls where many stores are located support a customer to purchase the product that matches his/her requests such as price, function, design, and so forth. In online auction market, a customer can buy the product by making bids sequentially and competitively until a final price is reached. In online group-buying market, a customer can purchase the product by aggregating the orders from several buyers so that cheaper prices can be negotiated. The cheaper customers could purchase the same product item, the more satisfied they would be. However, it is very difficult for the customer to determine the marketplace to purchase, considering different kinds of marketplaces at the same time. Even though the purchasing price is cheapest in one marketplace, it is very difficult for customers to convince it the cheapest for all marketplaces. Therefore, rules and methods have been developed for purchase decision making in multiple marketplaces to reach the optimal purchase decision as a whole. They can maximize customer's utility and resolve the conflicts with other marketplaces through multi-agent negotiation.

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쇼핑동기요인이 고객만족에 미치는 영향: 반려동물 온라인 쇼핑몰을 중심으로 (Effects of Shopping Motivation Factors on Customer Satisfaction: Focusing on the Companion Animal Online Shopping Mall)

  • 원종훈;이주헌
    • 한국콘텐츠학회논문지
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    • 제21권8호
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    • pp.466-477
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    • 2021
  • 본 연구의 목적은 국내 최초로 반려동물 온라인 쇼핑몰 고객의 쇼핑동기요인들의 고객만족에 대한 영향을 국내 최초로 살펴보고 고객들이 양육하는 반려동물 수가 쇼핑동기요인들의 고객만족에 대한 영향력을 조절하는 효과에 대해 분석하는 것이다. 반려동물 쇼핑몰 고객들의 쇼핑동기요인은 요인분석결과 편의적, 경제적, 쾌락적, 제품특성적, 정보지식적 쇼핑동기의 5개 요인으로 구분되었다. 다중회귀분석을 통해 반려동물 온라인 쇼핑몰 고객의 편의적 쇼핑동기와 정보지식적 쇼핑동기는 고객만족에 유의한 정(+)의 영향을 미치는 것으로 나타났다. 위계적 회귀분석결과 지식정보적 쇼핑동기와 고객만족 간의 관계에서 반려동물 수의 조절효과가 있는 것으로 나타났다.

인터넷 쇼핑몰의 고객관리 방안에 관한 연구 - 온라인 구매빈도와 쇼핑몰 로열티에 의한 고객세분화를 중심으로 - (A CRM Strategy of Internet Shopping Mall: Focused on a Classification of Online Consumer Group by Buying Frequency and Mall Loyalty)

  • 박철;전종근
    • Journal of Information Technology Applications and Management
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    • 제9권4호
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    • pp.127-149
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    • 2002
  • Online consumers were classified four groups by online buying frequency and shopping mall loyalty in this study; high frequency-high loyalty, high frequency-low loyalty, low frequency-high loyalty, and low frequency-low loyalty groups. Four groups were compared by Internet usage, flow experience, innovativeness, perceived risks of Internet shopping, Internet shopping behaviors, and demographics. Through an online survey of 396 Internet shoppers, there found significant differences of those variables among four groups. The implications for customer relationship management of Internet shopping mall are discussed and further researches are suggested.

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Improving the Product Recommendation System based-on Customer Interest for Online Shopping Using Deep Reinforcement Learning

  • Shahbazi, Zeinab;Byun, Yung-Cheol
    • Soft Computing and Machine Intelligence
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    • 제1권1호
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    • pp.31-35
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    • 2021
  • In recent years, due to COVID-19, the process of shopping has become more restricted and difficult for customers. Based on this aspect, customers are more interested in online shopping to keep the Untact rules and stay safe, similarly ordering their product based on their need and interest with most straightforward and fastest ways. In this paper, the reinforcement learning technique is applied in the product recommendation system to improve the recommendation system quality for better and more related suggestions based on click patterns and users' profile information. The dataset used in this system was taken from an online shopping mall in Jeju island, South Korea. We have compared the proposed method with the recent state-of-the-art and research results, which show that reinforcement learning effectiveness is higher than other approaches.

고객가치 극대화를 위한 전자상거래 구매의사결정 요인에 관한 연구 (Constructing the Purchasing Decision-making Factors to Maximize Customer Value on the Electronic Commerce)

  • 이현규;박영식
    • 한국정보시스템학회지:정보시스템연구
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    • 제15권1호
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    • pp.121-144
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    • 2006
  • For constructing the purchasing decision-making model to maximize customer value on the electronic commerce, Means-Ends Network model was used for identifying means and fundamental objectives and their relationships were analyzed by the structural equation. A questionnaire survey of 481 customers in their internet shopping experiences was conducted to extract valid means and fundamental objectives' factors. As a result, 6 means objectives shopping travel, shipping errors, vendor trust, online payment, product choice, and recommender systems and 3 fundamental objectives-shopping convenience, internet ecology, and customer support were founded. Using these 9 factors, structural equation was analyzed 4 times to ensure statistical validities and to establish new interrelationships among them. The results showed that fundamental objectives are affected by the strong relationships within means objectives. This interrelationship with mens and fundamental objectives is interpreted as the purchasing decision-making model to maximize customer value on the electronic commerce in this paper.

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Antecedents of Online Impulse Buying Behavior: An Empirical Study in Indonesia

  • PRAWIRA, Natasha A.;SIHOMBING, Sabrina O.
    • The Journal of Asian Finance, Economics and Business
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    • 제8권2호
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    • pp.533-543
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    • 2021
  • This study aims to determine and analyze the effect of social shopping, adventure shopping, value shopping, relaxation shopping, and idea shopping in influencing impulsive online buying behavior moderated by scarcity and serendipity information. The research method used is the quantitative research paradigm using surveys as a medium to obtain primary data. The paper examines the theoretical research model and tested fifteen hypotheses. The questionnaire was developed based on indicators from previous research. A non-probability sampling framework is used in this study. The data collection method uses electronic and online questionnaires to collect primary data with a total sample of 330 taken with the criteria of having made transactions in e-commerce Shopee in the last three months. Data analysis tools using Structural Equation Modelling (SEM) approach. The results showed that 8 out of 15 hypotheses were accepted and supported. The results show that there is a relationship between the value of hedonic shopping, scarcity, and serendipity information on impulsive online buying behavior. Therefore, analyzing the needs of customers, optimizing customer satisfaction, service excellence, website quality, and the ease of use of e-shopping itself especially in the e-commerce industry should be taken seriously nowadays.

온라인 점포에서 의류상품특성이 고객만족, 고객신뢰, 고객충성도에 미치는 영향 (Effects of Apparel Product Attributes on Customer Satisfaction, Trust, and Loyalty in Online Stores)

  • 박은주
    • 한국의류학회지
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    • 제32권8호
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    • pp.1299-1308
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    • 2008
  • Customers’ loyalty to an online store may be worth up to ten times as much as its average customer. To develop a loyal customer base, most online stores try their best to continually satisfy their customers and to generate long-run relationships with them. This study investigates the effects of product attributes on customer satisfaction, trust, and loyalty in the context of online shopping for apparels. A self-administered questionnaire with multi-item scale was developed based on literatures. A total of 356 usable questionnaires were obtained from respondents and were analyzed using by LISREL 8.54 Program. The results showed that attributes of apparel products (e.g., products variety, price, and information) have indirectly influenced customer loyalty, which are moderated by customers’ satisfaction and trust. Additionally, customer satisfaction plays an important role to develop customer loyalty of online apparel stores. The findings suggest that, to satisfy their customers, online apparel stores should focus on product variety, and reasonable/economic prices of their apparel products, while they should provide the information about contents/care of apparels in building trusting relationships with their customers. In light of the major findings, this study sets forth strategic implications for customer loyalty in online settings of apparel store.

온라인 쇼핑에서 소비자가 지각하는 공정성의 구조에 대한 탐색적 연구 (An Exploratory Study of Fairness Structure in the Context of the Online Shopping)

  • 김영균
    • 한국산업정보학회논문지
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    • 제14권4호
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    • pp.128-142
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    • 2009
  • 공정성이슈는 마케팅 및 조직심리학 등의 경영학 관련 분야에서 폭넓게 연구되어 왔다. 본 연구의 목적은 공정성을 구성하는 하부 요인들의 구조를 탐색적으로 연구하고, 이들로 구성된 상위 요인의 공정성이 고객만족과 구전의도에 미치는 영향을 알아보는데 있다. 본 연구를 위해 61개 온라인 쇼핑몰업체에서 제품을 구매한 경험이 있는 소비자로부터 데이터를 수집하였다. 수집된 데이터는 LISREL 8.5를 이용한 구조방정식 모델을 통해 분석되었다. 공정성 요인은 기존의 분배, 절차, 상호작용 공정성 등의 세 가지 차원보다는 네 가지 차원(분배, 절차, 대인, 정보공정성)으로 구성되어 있는 것으로 나타났다. 또한 이들 네 가지 차원의 공정성은 상위의 전반적 공정성을 구성하고 이 전반적 공정성은 고객만족과 구전의도에 긍정적인 영향을 주는 것으로 나타났다. 온라인 쇼핑몰이 좀 더 긍정적인 고객만족과 구전의도를 얻기 위해서는 소비자가 지각하는 공정성의 차원을 좀 더 다양하고 다각적인 측면으로 접근해야 한다고 제안된다.

온라인 아동가구 쇼핑몰 활성화 방안 (Activation Plan for Online Shopping Mall of Kids' Furniture)

  • 장은영;이상준;이경락;이상현
    • 한국인터넷방송통신학회논문지
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    • 제15권1호
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    • pp.291-298
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    • 2015
  • 직접 실물을 보고 검토한 후 구매하려고 하는 소비자의 특성으로 인해 온라인으로 아동가구를 판매하는 것은 쉽지 않은 일이다. 본 논문에서는 아동가구시장의 온라인 쇼핑몰의 발전 방안을 마련하기 위해, 구매 전 소비자의 의향을 설문으로 확보한 후, 실제 판매데이터와 비교 분석하여, 소비자의 의향과 실제 판매된 자료와 어떤 차이점이 있는지를 분석하였다. 아동가구 온라인 쇼핑몰 서버의 데이터를 이용하여 사이트 방문횟수, 페이지 접속수, 페이지 체류시간, 쇼핑몰내 접속자 이동경로를 분석하였고, 또한 온라인의 어떤 광고를 통하여 고객이 유입되는지 분석하였다. 분석결과 온라인으로 아동가구를 구매하는 소비자들의 디자인, 가격할인, 브랜드 인지도, 실용성에 대한 요구를 파악할 수 있었다. 아동가구 온라인 쇼핑몰 경쟁력 강화를 위해 온라인상의 가구 체험강화, 제품의 차별화전략, 고정고객의 확보의 필요성을 제시하였다.