• 한국컴퓨터정보학회:학술대회논문집
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• 한국컴퓨터정보학회 2022년도 제66차 하계학술대회논문집 30권2호
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• pp.697-699
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• 2022

Based on the integrated analysis of the existing literature, this study combined with S-O-R model to explore the impact of e-commerce live broadcast characteristics on consumers' impulse purchase intention. Among them, interactive, entertaining, economical and visual features are selected as the features of e-commerce live broadcast; Select pleasure and arousal to measure consumer sentiment, and build a theoretical model among e-commerce live broadcast features, consumer sentiment and consumers' impulsive purchase intention to specifically explore the impact of each feature on emotion and the further impact of emotion on impulsive purchase intention.

• Journal of Information Technology Applications and Management
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• 제31권2호
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• pp.35-49
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• 2024

With the development of e-commerce, live streaming e-commerce, as an emerging marketing method, is on the rise. It integrates various ways of information delivery, providing consumers with unprecedented shopping experiences, particularly through its interactive nature, which can increase audience engagement and immersion. This study delves into how interactive elements in live streaming e-commerce influence consumer emotions and purchase intentions. By employing literature review and empirical analysis methods, we analyzed various interactive factors in the live streaming e-commerce environment and revealed the process through which these factors stimulate audience emotions and lead to specific purchasing behaviors. The results confirm that the interactive appeal of live streaming e-commerce significantly influences consumers' positive emotional responses, consequently enhancing purchase intentions. This study aims to explore the relationship between the interactive features of live streaming e-commerce and consumer emotional responses and purchase intentions, thereby filling theoretical gaps in the field of live streaming e-commerce and proposing new marketing theories. Additionally, by analyzing how interactive features stimulate consumers, optimal live content strategies can be proposed for live streaming e-commerce platforms and hosts, thus aiding in the improvement of marketing strategies and sales effectiveness.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2010년도 춘계학술대회
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• pp.371-392
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• 2010

Since the 21st century, to the worldwide computer, broadcasting, communications and other technologies have be developed. because of the Internet allows real-time information delivery, Information Society that was done quickly. In this study, using information technology, Active measures to enable e-commerce in agriculture is discussed. agricultural e-commerce to the consumer satisfaction surveys were conducted, too. In addition to, as a e-commerce features, informance, convenience, interface presented. After research results, I think information, convenience, interface is important to consumers. Consumers will be spent on activities having a new value. To respond to these consumers, Companies must evaluate the internal capabilities. and outside the assessment continuously. E-commerce will give an effective way to companies. And e-commerce will develop further in the future. Therefore, e-commerce will be done by the long-term plan.

• 통상정보연구
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• 제5권2호
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• pp.113-132
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• 2003

The recent advancement of information technology bas impacted immensely on international trade. Particularly, the Internet revolution bas been the driving force behind the expansion of electronic commerce (e-commerce: EC), of which Trade e-Marketplace has been playing very important role in doing international trade. This study analyses its concept, features, types and present state, and also bas an outlook of it in the future based on a precedent and literature study on this subject in order that the trade business and small corporations understand more deeply and use it effectively.

• Asia pacific journal of information systems
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• 제33권3호
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• pp.737-767
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• 2023

With the availability of big customer data and advances in machine learning techniques, the prediction of customer behavior at the session-level has attracted considerable attention from marketing practitioners and scholars. This study aims to predict customer purchase conversion at the session-level by employing customer profile, transaction, and clickstream data. For this purpose, we develop a multimodal deep learning fusion model with dynamic and static features (i.e., DS-fusion). Specifically, we base page views within focal visist and recency, frequency, monetary value, and clumpiness (RFMC) for dynamic and static features, respectively, to comprehensively capture customer characteristics for buying behaviors. Our model with deep learning architectures combines these features for conversion prediction. We validate the proposed model using real-world e-commerce data. The experimental results reveal that our model outperforms unimodal classifiers with each feature and the classical machine learning models with dynamic and static features, including random forest and logistic regression. In this regard, this study sheds light on the promise of the machine learning approach with the complementary method for different modalities in predicting customer behaviors.

• 감성과학
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• 제21권1호
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• pp.45-58
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• 2018

As information and communication technologies (ICTs) become more advanced, consumers are able to experience retailing activities such as searching for products and services in online retail shops and for Internet-exclusive branded contents. Specifically, fashion retailers are facing the need to develop more novel experiential design than one another to maximize customers' experience in Internet websites and secure sustainable competency. Confirming methods of organic integration of experiential and visual features of both online and mobile channels is an important aspect of the study of extended consumers' interfaces of retail channels. Mehrabian and Russell's stimulus-organism-response (S-O-R) paradigm and Sugiyama and Andree's attention, interest, search, action, and share (AISAS) model were used for this research. Specifically, the present study considered the effect of e-commerce website features on consumers' emotional reactions (pleasure and arousal) and the consequent impact on online consumer behaviors (search, action, and share). Hence, plus the self-reported survey methods, each subject's psychophysiological indicators (i.e., pleasure and arousal) were measured to obtain more objective and reliable data and to redeem the results of the self-reported survey. Findings revealed the implications of the e-commerce website feature by comprehending the S-O-R paradigm and AISAS model and extending the understanding of the role of variables associated with comprehended frameworks based on psychophysiological data.

• 통상정보연구
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• 제18권2호
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• pp.3-26
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• 2016

크라우드펀딩(Crowdfunding)은 인터넷 기반 플랫폼을 이용하여 개인 및 기업이 필요한 자금을 다수의 대중으로부터 모으는 행위로 SNS 확산과 더불어 성장하고 있다. 크라우드펀딩의 기능은 자금조달에 어려움을 겪고 있는 기업 및 창업기업들에게 혁신적인 자금조달 수단이다. 국내 크라우드펀딩은 도입초기단계로 문화, 예술 분야에 집중되어 있고, 공익적인 성격을 가진 프로젝트가 많다. 그러나 국내 크라우드펀딩의 높아진 관심에도 불구하고, 전자상거래 무역창업에 크라우드펀딩의 투자사례는 드물며, 창업금융의 역할에도 미비하여 많은 문제점이 제기 되고 있다. 본 연구의 목적은 전자상거래 무역창업에 크라우드펀딩을 성공적으로 활용하고자 할 때 고려되어야 할 요인들을 살펴보았다. 본 연구는 크라우드펀딩 시장현황과 각국의 법률 및 정책을 살펴보고, 이를 통해 전자상거래 무역창업 투자 관점에서 국내 크라우드펀딩 관련 법률 및 제도의 활성화 방안을 제시하였다.

• 한국전자거래학회지
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• 제8권3호
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• pp.241-257
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• 2003

XML(eXtensible Markup Language)은 인터넷과 e-비즈니스를 위한 글로벌 표준으로서 전자상거래의 보급 속도에 따라 XML의 활용도가증가하고 있다. 이러한 환경에서 전자상거래시에 교환되는 전자문서의 보다 안전한 보안서비스를 제공하기 위한 방안이 필요하다. XML정보보호기술 중 XML키 관리 규격(XKMS)은 다양하고 복잡한 기능의 전자상거래 애플리케이션에서 전자문서의 서명을 검증하거나 암호화하는 공개키를 관리하는 프로토콜을 정의한다. 본 논문에서는 XML 기반 보안서비스 특성에 착안하여 안전한 전자상거래를 위한 XML키 정보서비스(X-KISS)에 대한 분석과 표준안에 근거한 서비스 참조 모델을 제시하고, 기반 되는 서비스 컴포넌트를 구현하여 서비스 모델링을 수행하였다. 본 논문에서 제시된 참조 모델은 식별정보가 주어졌을 때, 필요로 하는 공개키 위치와 식별자 정보, 공개키 연결 기능을 제공한다. 구현한 클라이언트 서비스 컴포넌트의 요청 및 검색 쓰레드의 비율을 제한하여 실시간 키 검색에 대한 컴포넌트의 최소 성능을 분석하였다. 본 논문의 서비스 모델링은 향후 국내 e-비즈니스 프레임워크 구성 시 표준적 인 보안 모델을 구현할 수 있는 지침을 제공할 것이다.

• 통상정보연구
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• 제19권1호
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• pp.99-126
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• 2017

인도네시아는 지속적인 경제성장, 중산층 성장, 인터넷(SNS포함) 사용자 증가, 모바일 브로드밴드 서비스 접근성 확대 등으로 전자상거래 시장이 크게 발전하고 있다. 특히, 스마트폰 기기의 보급 확대로 모바일과 SNS를 통한 소비자들의 온라인 쇼핑이 급증하고 있다. 본 연구는 인도네시아 전자상거래 시장특징, 문제점, 진출사례 및 시사점 등을 상세하게 분석하여 전자상거래 플랫폼을 통한 한국 중소기업의 인도네시아 수출확대방안을 제시했다. 본 연구는 국내외 연구기관, 무역지원기관, 현지 진출 전자상거래업체 등으로부터 입수한 자료를 심층 분석하여 전략을 도출하였다. 인도네시아에 대한 수출확대를 위해서는 오프라인 시장을 직접 공략하기 보다는 기 구축된 온라인 플랫폼을 통해 간접 진출하는 것이 효과적일 수 있다. 현지 소비자들의 기호를 충족시키고 독창적인 제품을 개발하여 온라인 플랫폼에 입점한다면 효과적으로 시장을 공략할 수 있다. 인도네시아 전자상거래 플랫폼을 활용한 수출확대방안으로는 현지 온라인 판매유통망 구축, 물류배송 및 결제시스템 구축, 무슬림시장 공략을 위한 할랄 인증 취득, 철저한 시장조사를 통한 현지화 시장진출전략 수립, 한류 마케팅전략의 적극적 실행, 제품차별화 및 시장세분화 전략 수립, SNS 모바일 마케팅 전개 등이다.

• 유통과학연구
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• 제10권8호
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• pp.35-43
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• 2012

This study is designed to collaboratively investigate the influences of the characteristics of Internet shopping malls and the shopping traits of their users involved in e-commerce on shopping intention. With this in mind, the researchers take a look at the influences of such features of shopping malls on the web as the quality of the system, customer-support service, shopping-mall perception and security, the users' propensity to pursue pleasure and pragmatic interest on shopping intention. The study shows that all the variables suggested here have an influence on the purchase intent of Internet shopping-mall users. That is, this study cannot analyze how the purchase intent of the customers with regard to the features of Internet shopping malls has changed. Therefore it is necessary to conduct procedural researches taking longitudinal studies into consideration.