• Title/Summary/Keyword: Online Commerce

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Influence of Word of Mouse and Consumers Attitudes on Consumers' Decision-Making in E-Commerce

  • GUO, Chen;KIM, Hyunsu;KIM, Woohyoung
    • The Journal of Industrial Distribution & Business
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    • v.11 no.8
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    • pp.7-19
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    • 2020
  • Purpose: Prior studies rarely investigated the effects of the Word of Mouse (WoM) information on consumers' motivation and willingness to purchase a product. Furthermore, few scholars have studied how word-of-mouth information works and they fail to find consistent results. Research design, data and methodology: This study uses a multivariate regression model to investigate the influence of WoM on consumer attitudes and consumer decision-making. It categorizes the quality of WoM into source level and acceptance level, to analyze its influence from a new perspective. A total of 400 surveys were completed, resulting in 336 usable questionnaires for analysis. It was collected in 14 cities from all regions in China. This study constructs a theoretical model of WoM influence on consumers' purchase willingness based on a systematic review of the related literature on WoM quality, perceived value, customer trust, and consumers' purchase willingness. Results: Empirical results reveal that the Internet WoM (consumer's source level and acceptance level) indirectly affects consumer behavior by influencing consumer attitudes. Conclusions: This study provides practical significance and value for merchants to develop better WoM marketing and to establish the reliability of WoM websites. Companies should consider online WoM from the perspective of consumers, thereby improving existing marketing strategies.

The Impact of Parent Company Attributes on e-Brand Personalities (온라인 패션 쇼핑몰의 모기업 특성이 e-브랜드 개성에 미치는 영향)

  • Jung, Seung-Hwa;Lee, Yu-Ri
    • Journal of the Korean Society of Costume
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    • v.61 no.5
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    • pp.64-76
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    • 2011
  • Consumers attribute human personality to products or stores as well as brands. As brand personality is imprinted to a consumer's mind, in e-commerce, the concept of store personality needs to be examined by comprehending the e-brand personality. Unlike the recent studies that focus primarily on the portal site, we attempt to identify e-brand personality of online shopping malls that sell fashion products. This study also examined the impact of the parent company's attributes on e-brand personality. A survey was conducted to 240 females and 240 males in their 20s or 30s. E-brand personality of three different types of the Internet shopping mall was evaluated by 160 respondents, respectively. As a result, we found that Internet shoppers perceive that e-brands have four distinct personality dimensions: young, reliable, sophisticated, and creative. Among the four dimensions, "young" and "reliable" showed the most significant influence on intention to visit the shopping mall site. Besides, e-brand personality varied with parent companies' attributes such as reputation, credibility, and fashion industry-relatedness. Especially, credibility of the parent company showed a strong positive relationship with e-brand personality.

An Implementation of the B2B E-Marketplace Product Search Framework using Semantic Web (시맨틱 웹을 이용한 B2B E-Marketplace 제품 검색 프레임워크 구현)

  • Yu, Je-Seok;Jeong, Yeong-Il;Kim, Chang-Uk
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2005.05a
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    • pp.1-9
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    • 2005
  • Today, according to tremendous development of B2B e-commerce, B2B e-marketplaces which accomplish various types of transactions through a number of buyers and sellers on online are embossed importantly. However, buyers are unable to search correct products because of inconsistency of product information between buyers and sellers. This paper solved this problem as semantic web technology. Semantic Web is an extension of current Web in which information is given well-defined meaning, better enabling computers and people to work in cooperation. The Semantic Web aims at machine-processable information. Its underlying technologies are RDF, RDF Schema, and ontology as the shared formal conceptualization of particular domains. In this paper, we present an implementation of Semantic Web enabled search system for B2B E-Marketplace domains. The system exploits OWL as the standard ontology language proposed by W3C and the Jena which is a Semantic Web toolkit, namely a Java framework writing Semantic Web applications. Finally, we summarize our experiences and discuss future research topics.

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Integration of Timestamp Service into Digital Signatures (전자 서명과 시점 확인 서비스의 결합)

  • Chang, Hai-Jin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.2
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    • pp.377-387
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    • 2009
  • Digital signatures not only provide a way of guaranteeing the integrity of data but also establish the identity of the signer. However, basic digital signature format which contains only the signature of the signer does not guarantee the correctness of its creation time, and it can not remain valid over long periods. This paper proposes a system which integrates timestamp service into digital signatures. The system provides online services for the creation and verification of long term digital signatures which can give the guarantee of the correctness of their creation times and can be proved to be valid over long periods. The proposed system can be used in the various areas such as e-commerce contracts, document archival services, and invoice applications, which requires long term digital signatures. The proposed system is tested with the KRISS timestamp service system.

온라인과 오프라인의 적절한 통합을 위한 의사결정 로드맵에 관한 실증연구

  • 김인재;황경태;지홍구
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2001.10a
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    • pp.79-82
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    • 2001
  • The wide use of Information Technology(IT), especially the rapid diffusion of the internet, brings us a new paradigm, called "Electronic Commerce", or "Digital Economy." The paradigm is regarded as a business strategy essential to organization's competitive advantage. Because very few studies have been performed in the area of e-strategy, especially in the combined strategy of clicks and mortars, a research on this area is needed. The main questions of this study are empirically to validate the usefulness and the applicability of a decision roadmap and to analyze the situation of Korean firms based on the decision roadmap. Major results of this study are as follows; First, there is an evidence that the roadmap can be applied to firms regardless of its industry and size. Second, usefulness of the roadmap is proved since companies that followed the prescription of the decision roadmap showed high degree of satisfaction with online sales amount. Third, Korean firms in general do not achieve the ideal degree of integration (or separation), especially in terms of management and operation. In conclusion, this study provides e-business strategy planners some guidelines about how to achieve right mix of on-line and off-line business.

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Theory of Comparison Value and Online Comparison Challenge Advertising (비교가치이론과 온라인 비교도전 광고)

  • 이재원;이재규
    • Korean Management Science Review
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    • v.20 no.2
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    • pp.197-204
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    • 2003
  • Comparison challenge approach is proposed as a form of challenger-activated. just-in-time Internet advertising. To develop a framework for a comparison challenge, we propose a theory of comparison value. A comparison is regarded valuable if a comparison opportunity is available and if the comparison is relevant and informative, has an appropriate level of detail, and is advantageous and trustworthy. Based on this theory, the CompareMe and CompareThem strategies are devised, and comparable objects are classified in terms of price and performance dominance as well as the scope of proximity. The idea is demonstrated with a comparison of PCs from five leading manufacturers. To assist in the planning of the comparison challenge, a mathematical programming model was formulated to maximize the value of comparison under the constraints of the comparison opportunity and budget. The model is applied to eight scenarios in terms of the range of comparing objects. The models under various scenarios are tested and contrasted with the real-world example of PCs. We found the ad effect of comparison challenge to be substantially better than banners (4.75 times) and similarity-based comparisons (2.77 times), providing customers with better performance and reduced prices.

Psychological Benefits of One-to-one Marketing in Apparel E-commerce: An Approach with Perceived Usefulness, Pleasure, Arousal, and Attitude toward the E-store

  • Lee, Eun-Jung;Kim, Han-Na;Noh, Mi-Jeong
    • Journal of the Korean Society of Clothing and Textiles
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    • v.35 no.6
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    • pp.646-658
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    • 2011
  • Wide-spread practitioner literature exists for the one-to-one marketing effect from a firm's perspective; however, limited research discusses the psychological effect of one-to-one marketing from a consumer's perspective. The authors test a model that integrates the level of consumer-perceived one-to-one marketing effort (OTO-E), instrumental (i.e., perceived usefulness) and affective benefits (Le., pleasure and arousal), and attitude toward the e-store (ATE). The analysis of an online survey (conducted with 195 U.S. undergraduates) confirms the positive effect of level of OTO-E on the benefits that influence ATE. In addition, it reveals the positive effect of the affective benefits on the instrumental benefit. The results expand the current research on the value of one-to-one marketing by presenting a consumer-oriented approach. As the study was conducted in the U.S. market with intense consumer demands for individuation of service, the results should provide useful managerial/ theoretical implications to Korean apparel e-tailers, concerning their future implementation of one-to-one marketing.

The Effect of Mobile Fashion Shopping Characteristics on Relationship Quality (모바일 패션 쇼핑 특성이 관계 품질에 미치는 영향)

  • Ahn, Soo-kyung;Ryou, Eunjeong
    • Journal of Fashion Business
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    • v.21 no.1
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    • pp.99-111
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    • 2017
  • This research analyzed the influence of mobile fashion shopping characteristics on customer loyalty through relationship quality. The data were collected subjects in their 20's-30's who had purchased fashion products using a mobile shopping channel. through an online survey using the self administered questionnaire. Exploratory and confirmative factor analysis were conducted to identify the dimensions of mobile fashion shopping characteristics and customer relationship variables. Mobile fashion shopping characteristics comprised four dimensions including tangibility, ubiquity, security and personalization. Customer relationship variables were identified as four dimensions such as satisfaction, trust commitment and loyalty. A structural equation modeling analysis was employed to examine the relationship between mobile fashion shopping characteristics, relationship quality and customer loyalty. Tangibility, ubiquity and security had a significantly positive impact on satisfaction and trust, but personalization had an influence on only satisfaction. Satisfaction had a significantly positive impact on commitment and loyalty. Trust had an influence on only commitment. In conclusion, relationship quality was found to be the appropriate model to explain the influence of mobile commerce characteristics on consumer' loyalty in mobile fashion shopping.

Factors Affecting User's Repurchase Intention towards Chinese Internet Shopping Malls

  • Jung, Chul-Ho;Chung, Young-Soo;Wang, Tao;Piao, Shi-Guang
    • International Journal of Contents
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    • v.6 no.4
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    • pp.62-68
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    • 2010
  • More and more researchers and practitioners in the field of e-commerce are paying attentions to the retention of online customers. However, only a few researches can be addressed in the context of internet shopping mall repurchase intention. This study aims at investigating and delineating the important characteristic factors which affect consumers' repurchase intentions by conducting an empirical analysis. In order to fulfill this purpose effectively, a comprehensive review of previous studies regarding information system success model was performed in order to render a stronger theoretical foundation for our study. Finally, based on the DeLone and McLean (2003) IS success model, information quality, system quality, service quality, customer satisfaction and repurchase intention were employed as five constructs in the research model and hypotheses on mutual relationships between these constructs were established accordingly. Structural equation modeling was employed to analyze the data collected from 204 internet shopping mall consumers in China. Our theoretical model exhibited a good fit with the observed data. The empirical results showed particularly strong support for the effects of information quality, service quality and user satisfaction. The findings of this research contributed to the extension of repurchase intention study in the context of Internet shopping malls. Our research also offered implications for practitioners in regards to devising internet shopping malls so as to increase consumers' repurchase intention to use these services.

Recognizing Emotional Content of Emails as a byproduct of Natural Language Processing-based Metadata Extraction (이메일에 포함된 감성정보 관련 메타데이터 추출에 관한 연구)

  • Paik, Woo-Jin
    • Journal of the Korean Society for information Management
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    • v.23 no.2
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    • pp.167-183
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    • 2006
  • This paper describes a metadata extraction technique based on natural language processing (NLP) which extracts personalized information from email communications between financial analysts and their clients. Personalized means connecting users with content in a personally meaningful way to create, grow, and retain online relationships. Personalization often results in the creation of user profiles that store individuals' preferences regarding goods or services offered by various e-commerce merchants. We developed an automatic metadata extraction system designed to process textual data such as emails, discussion group postings, or chat group transcriptions. The focus of this paper is the recognition of emotional contents such as mood and urgency, which are embedded in the business communications, as metadata.