• Title/Summary/Keyword: E-Shopping mall

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Chinese Women's Purchasing Behavior and Satisfaction for Korean-Made Clothing Purchased Online (중국여성의 온라인 쇼핑몰에서의 한국산 의복 구매행동과 만족도)

  • Pan, Hong-Yu;Choi, Jong-Myoung
    • Journal of the Korean Home Economics Association
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    • v.47 no.10
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    • pp.39-49
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    • 2009
  • The purpose of this study was to investigate Chinese women’s clothing purchase behavior and satisfaction for clothing made in Korea. Data was collected from Chinese women who had made purchases of Koreanmanufactured clothing using the Chinese online shopping mall named ‘TaoBao’. In total, the responses of 439 questionnaires were tabulated and analyzed using the SPSS program 12.0. Results were as follows: 1) Shopping motivation was classified based on two factors: transformation motivation and information motivation. Most Chinese women who purchased clothing made in Korea did so because of information motivation. Results showed that the place of manufacturing origin(i..e Korea) did not negatively impact Korean clothing products at this online shopping mall. 2) Purchase satisfaction was influenced by three factors: quality satisfaction, wearing/management satisfaction, and design satisfaction. Most Chinese women were satisfied with clothing made in Korea in terms of the design factor. 3) There were correlations among Chinese women’s shopping motivation and purchase satisfaction for clothing made in Korea.

An Expanded Website Quality Model in Online Shopping Malls for Developing Satisfaction and Loyalty: The Moderating Effect of Gender

  • Sang Min KIM;Tian JIAQI;Yong-Ki LEE
    • Journal of Distribution Science
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    • v.22 no.5
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    • pp.93-104
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    • 2024
  • Purpose: This study used the SORmodel (or cue utilization theory) to examine the impact of expanded quality factorsincluding product quality on customer satisfaction, attitude, and behavioral loyalty. This study examined the moderating effect of gender on the customer satisfaction-attitudinal and behavioral loyalty relationship. Research design, data, and methodology: 364 respondents were collected through an online survey and analyzed using the SmartPLS 4.0 program. Results: The findings show that product quality, along with system quality and service quality, are key determinants of customer satisfaction. In addition, this study shows that the relationship between customer satisfaction and attitudinal loyalty (repurchase and word-of-mouth intention) does not differ depending on gender, but the relationship between customer satisfaction and behavioral loyalty (share-of-visit and share-of-wallet) is stronger for women than for men. Conclusions: This research integrates concepts from environmental psychology and marketing focusing on website quality (information, system, service, and product), as well as satisfaction, attitudinal and behavioral loyalty. Online shopping mall practitioners must systematically analyze and assess the quality of online shopping, a pivotal factor driving customer satisfaction, attitude, and behavioral loyalty. Acknowledging the influence of gender on consumers' online purchasing behavior can aid online retailers in devising tailored e-commerce marketing strategies aimed at attracting and retaining customers.

Examining the Moderating Effect of Involvement in the Internet Purchase Decision Process (인터넷 구매결정과정에서의 관여도의 조절효과에 관한 연구)

  • Kwahk, Kee-Young;Ji, So-Young
    • Asia pacific journal of information systems
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    • v.18 no.2
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    • pp.15-40
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    • 2008
  • With the explosive growth of the Internet, Internet shopping malls have become recognized as one of the major purchasing channels for consumers, as well as one of the competitive distribution channels for companies that allow them to contact with customers without intermediaries. It has motivated information systems(IS) researchers to examine the factors influencing consumer behavior and the purchase decision process in the context of Internet shopping malls. Despite the extensive research that has been conducted on the purchase decision process of consumers in online shopping malls, the results have demonstrated a need for further understanding of consumer behavior due to the unique features of virtual space and the characteristics of online consumers. Previous studies from marketing and consumer behavior domains have suggested that the concept of involvement plays an important role in explaining consumers' purchase behavior. Despite the critical role of involvement and the explosive growth of e-commerce, little research has examined the role of involvement in the Internet shopping mall context. With this motivation, this study has two research objectives. First, it introduces and tests an theoretical model capable of better explaining consumers' intention to purchase in the Internet shopping mall context. The proposed model extends and integrates existing models on purchase intention by incorporating purchase experience, innovativeness, and perceived self-control as the consumer factors, along with perceived risk, information provision, and perceived price as the Internet shopping mall factors. Second, this study examines how involvement differences may affect consumers' intention to purchase. For this purpose, two factors from involvement theory, involvement type and involvement level, are introduced into the research model as moderating variables. In order to test the proposed model, the overall approach employed was a field study using the structural equation model. We developed our data collection instrument by adopting existing validated questions wherever possible. All question items were measured with a seven-point, Likert-type scale, with anchors ranging from 'strongly disagree' to 'strongly agree.' Two IS researchers reviewed the instrument and checked its face validity. We collected empirical data for this study over a period of two weeks from subjects who had purchase experiences through Internet shopping malls. A total of 473 complete and valid responses were obtained. We carried out data analysis using a two-step methodology with AMOS 4.0. The first step in the data analysis was to establish the convergent and discriminant validity of the constructs. In the second step, we examined the structural model based on the cleansed measurement model. The empirical results partly support the proposed model and identify the moderating effect of involvement differences. Theoretical and practical implications of the study are discussed, along with its limitations.

Structural Relationships Among Innovativeness, Perceived Risk, Product Purchase Intention of Internet Shopping Mall Users: With Focus on Multi-group Analysis by Product Type (인터넷 쇼핑몰 이용자들의 소비자 혁신성, 지각된 위험, 제품 구매의도 간의 구조적 관계: 제품유형에 따른 다중집단분석을 중심으로)

  • Shim, Taeyong;Yoon, Sungjoon
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.11
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    • pp.701-710
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    • 2018
  • This study aims to verify the mediating effect of perceived risk of internet shopping mall users' innovativeness on product purchase intention. Research subjects included consumers with prior experience of using internet shopping malls, and 405 respondents were used for final analysis. The major findings of the study are as follows: First, as a result of the investigation on the relationships among users' innovativeness, perceived risk, and product purchase intention, all correlation coefficients were positive. Second, consumer innovativeness was found to significantly influence perceived risk and purchase intention, and perceived risk mediated the relationship between consumer innovativeness and purchase intention. Third, when we performed sub-group analysis on the research model by dividing products into hedonic and utilitarian products, it was found that hedonic products revealed path coefficients which are statistically more significant compared with those for utilitarian products. We can draw the conclusion that in terms of internet shopping mall purchases, hedonic products exert a greater influence on the effect of consumer innovativeness on purchase intention compared to utilitarian products.

Design and Implementation of a Comparative Shopping Agent for E-Commerce (비교쇼핑 에이전트의 설계와 구현)

  • Choi, Moo-Jin;Hwang, Jin-Yeol
    • Information Systems Review
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    • v.7 no.1
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    • pp.97-113
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    • 2005
  • This paper designed and implemented(programmed) a comparative shopping agent that helps consumers to shop at on-line shopping malls over Internet. At offline stores, as consumers usually tell a sales clerk about a manufacturer, functions and price range of an item they want to purchase, the sales clerk will show the products or relevant catalogues. Then the consumer will compare functions, design and prices of the product and buy it with the lowest price. PriceMeter, a comparative shopping agent, introduced in this paper, is designed best geared to this consumers' buying behavior. Basically, as consumers enter a manufacturer's name, price, features and etc. at a search window, PriceMeter will search the web and provide a list of product informations such as features and prices that meet the search conditions. Consumers can see the information in either a form of catalogue or a printing format. As consumers click specific items to examine closely, it will show prices and information about shopping malls that sell the requested items. Clicking a 'Buy' icon, the consumers will be transferred to the right web page at the linked shopping mall. The emergence of the comparative shopping agent will expedite a consumer-centered retailing economy in the age of e-commerce. As consumers are provided with a better set of product and shopping mall information, they can make better purchasing decisions and gain more bargaining power shifted from manufacturers(sellers). The presentation of this comparative shopping agent is intended to promote the consumer-centered B2C e-commerce.

Anticipated Benefits of electronic Commerce and Competitive Strategies (전자상거래를 통한 국내 인터넷 쇼핑몰 업체들의 기대 이득과 경쟁전략)

  • 장시영;이정섭
    • Korean Management Science Review
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    • v.17 no.3
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    • pp.31-47
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    • 2000
  • The widespread diffusion of Internet has enables companies to conduct business in quite a different way. marketing on the Internet becomes more important as firms adopt electronic commerce as a means to implement competitive strategies. One hundred and four BC shopping mall companies responded to an e-mail and web server survey about the anticipated benefits of electronic commerce and related strategies. The survey also asked about improvements in value chain activities and impediments to the implementation of electronic commerce in Korea. The results indicated that Korean shopping mall companies followed differentiation strategy significantly more than the other two strategies. In addition, six benefits factors were drawn from this study - information, productivity, cost savings, customers, management information, and applications. Productivity factor was related to cost leadership strategy, and customers factor was related with cost leadership, differentiation and focus strategies. Several benefits factors were also correlated with value chain activity improvements. The results of this study were compared with those of research conducted in the United States.

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Development of A Web-based Buying Decision Support System for A Cyber-Shopping Mall (사이버쇼핑몰을 위한 웹기반 구매 의사결정지원시스템의 개발)

  • Jeong, Byung-Ho;Kim, Woo-Ju;Doo, Kye-Woong;Lee, Keun-Ryul;Yang, Pil-Su
    • Asia pacific journal of information systems
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    • v.13 no.2
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    • pp.105-117
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    • 2003
  • As E-commerce is getting more popular, consumers faces more decision complexity than ever before because they can get greater alternative choices. Futhermore, consumers are sometimes motivated to expand effort in making a good decision in the case of relatively important and non-routine decison, such as buying a house or car. Thus, a buying decision support function is required to help consumers make decisions that have the greatest effects on consumer's lives. We develop a propotype system of a web-based buying decision support system for a cyber shopping mall. A buying decision of a consumer is a multi-attribute decision problem and is supported using analytic hierarchy process model. The system was implemented using HTML, Java, Java applet, JSP.

Analysis Procedure For Customer Behavior Model Using Web-Log (웹 로그를 이용한 고객행동모델 분석방법에 관한 연구)

  • Seo, Jang-Hoon;Shim, Sang-Yong;Yoo, Woong-Jae
    • Proceedings of the Safety Management and Science Conference
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    • 2006.11a
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    • pp.299-307
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    • 2006
  • In this report, we provide the focus on suggesting a method of estimating and measurement of CBM(Customer Behavior Model). Through the use of internet, a new trend of business for e-CRM on B2C Web Site known as EC has emerged. The purpose of this study is to identify the relationship between the customers of a shopping mall and CBM characteristics. It can be used to gain a better understanding of customers. From this we can determine trends, and so refine business toward customer's needs and target new products to particular customer groups. Result shows that there is a significant relationship between the customers pattern of shopping mall and CBM, CVM(Customer Visit Model).

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Analysis Procedure For CBM Using Web-Log (웹 로그를 이용한 고객행동모델 분석방법에 관한 연구)

  • 서장훈;박명규
    • Journal of the Korea Safety Management & Science
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    • v.4 no.4
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    • pp.119-128
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    • 2002
  • In this report, we provide the focus on suggesting a method of estimating and measurement of CBM(Customer Behavior Model). Through the use of internet, a new trend of business for e-CRM on B2C Web Site known as EC has emerged. The purpose of this study is to identify the relationship between the customers of a shopping mall and CBM characteristics. It can be used to gain a better understanding of customers. from this we can determine trends, and so refine business toward customer's needs and target new products to particular customer groups. Result shows that there is a significant relationship between the customers pattern of shopping mall and CBM, CVM(Customer Visit Model).

A Comparison on the Factors Influencing Customer Values in Electronic Commerce between Korea and China (전자상거래 고객가치 요인의 한·중 비교)

  • Lee, Hyun-Kyu;Han, Jae-Ho
    • The Journal of Information Systems
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    • v.21 no.4
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    • pp.155-183
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    • 2012
  • Means-Ends Network model was used to identify factors of means objective(means supplied by vendor) and fundamental objectives(purchasing motivations) for purchasing decision-making structure and dimensions of customer values on purchasers of internet shopping mall in Korea and China. In Means-Ends Network 6 factors(shopping travel, shipping assurance, vendor trust, online payment, product choice, and recommender systems) were found as a means objectives and 3 factors(shopping convenience, internet environment, customer support) as a fundamental objectives of shopping. However the results of hypotheses test for Means-Ends Network show some important differences between two countries. Something important to notice here is that Chinese customers shopping in China recognize shipping assurance factor and vendor trust factor as important factors satisfying all fundamental objectives unlike as in the case of our country. As these two factors are attribution factors responsible to the sellers, it is identified that customers do not trust the sellers and sellers have not met the expectations of customers. Therefore, these results show that the seller efforts assuring the reliability of the seller themselves, such as conducting its own compensation scheme are more important rather than the establishment of the guarantee institution to guarantee reliability and delivery assurance of sellers and implementation of legal and institutional apparatus such as the settlement of e-commerce licence system. Though this study presents such an important marketing implications, it can be pointed out that the limits are this research was done on the general Internet shopping malls without considering the Internet shopping mall types of diversity, the survey was designed around the student samples for convenience of the investigation because it was an international survey and the collected data has been limited to the western coast cities, such as China's Beijing, Shanghai, and Dalian.