• Journal of Digital Contents Society
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• v.19 no.3
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• pp.547-559
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• 2018

This study deals with the factors influencing acceptance of social media-based smart commerce service through personal innovativeness by quantitative empirical research method. Researchers have viewed that personal innovativeness affects the aesthetic criteria, hedonic value, economic value, and subjective norms, which are subdivided elements of emotion and characteristics. The hypothesis is that the emotional and characteristics variables affect the variables such as purchase intention and word of mouth intention of the TAM and the post acceptance model (PAM). The research model proposed in this study is a integrated model of proven models in previous studies, and it is expected that there will be a theoretical and practical contribution of research. The researchers hope that this study will make a significant contribution to the industry and policy in dealing with the acceptance of smart commerce services emerging in the area of e-commerce and social media marketing.

• Journal of the Korea Society of Computer and Information
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• v.10 no.3 s.35
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• pp.275-286
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• 2005

Interest of Business Model has been increased continuously in the enterprise ever since IT(Information Technology) is introduced in the Business sector. Though lots of company's effort to build Business Model which expected to give profit to company, there are no guarantee of Business Model's success. In the situation of shortest lifecycle of new technology, it's hard to guarantee Business Model based new technology will return profit with the result of excellent evaluation of technology. After find Timmers model, Julta model, Rappa model, Electronic Commerce Profit model, B2E Model and Affliation, Affliated B2E Business Frame, will propose advantage and disadvantage of these models. Comraded B2E Business Model will be extracted for Mobile Solution Company to achieve success in the market through analysis of relationship between Technology appraisal and business model.

• The Journal of Information Systems
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• v.15 no.2
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• pp.31-47
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• 2006

The Internet has been developed interactive media for electronic commerce. This progress is affected by the growth and adoption of virtual community technology, real time dialogue, and video conference etc. Recently, 'blogs' are rapidly diffusing to personal media on the internet. In this paper, we first review the previous research relevant to 'blogs', and then analyze the business models for blog systems presented by previous researchers. We develop a yard-sale shopping mall on the basis of analysis, design, and implementation of blog application for e-commerce, using Mcrosoft ASP.Net. This article describes the yard-sale shopping mall on a blog, presents an example of its abilities, and describes planned future research.

• 한국산학경영학회:학술대회논문집
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• 2004.11a
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• pp.4-22
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• 2004

The Internet provides a new distribution channel of digital contents for conventional media firms such as newspaper, magazine and encyclopedia publishers and broadcasting companies with very low marginal production and distribution cost. In comparison to traditional offline channel, there have been various revenue models in online content markets such as advertising model, subscription model, affiliation fee model, etc. In the earlier of the Internet era, most of online content firms provided their services free in order to boost offline revenue or they depend on advertising revenue sources in lieu of attaining revenue from their contents. However, as many online content firms are confronted with many difficulties in attaining revenues from online advertising model, they began to charge their contents. This paper shows why they charge their contents and explores entry conditions when conventional firms enter online content markets. And also this paper discusses managerial implications related to pricing strategies in online content markets.

• Journal of Fashion Business
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• v.17 no.5
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• pp.57-69
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• 2013

The purpose of this study is to compare the traditional shopping model and virtual avatar fitting model with regards to credibility and favorable impression effects on shopping mall satisfaction, product preferences, and purchasing intentions of apparel e-commerce. Questionnaires are distributed to 10-30s years old consumers who live in Seoul. Data are analyzed by descriptive statistics, Cronbach's ${\alpha}$, and regression analysis. The results are that the provoked credibility and favorable impression from the traditional shopping model affects the consumers' shopping mall satisfaction and buying intention in descending order. In additional, the credibility from traditional shopping model affects the product preference. The provoked credibility from the virtual fitting model influences the consumers' product preferences, and buying intentions. The favorable impression from the virtual fitting model affects shopping mall satisfaction. In general, provoked credibility from virtual avatar fitting model and traditional shopping model play key roles which could influence the consumers' buying intention.

• Journal of the Korea Safety Management & Science
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• v.6 no.3
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• pp.109-120
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• 2004

As an information-oriented era arrives, an environmental change of Internet marketing is going with high speed and such open door around the countries is providing worldwide companies with a new business opportunity. Now, Internet is a new communication tool for global network and is emerging as a new e-commerce market. Also, this trend is having an effect upon online site that sell crafts. Hence, this study aims to select artshop, which simultaneously operate off line and online while sell crafts, to research the present status, and analyze the problems to suggest the activation plans for effective Internet commerce. Accordingly, this study suggested six models for the settlement of these problem s and the activation plans as following: offer of the various works and the contents, security of price competition, reinforcement of marketing, establishment of brand recognition, management of customers and settlement of payment ways etc. The commerce of crafts in the artshop is only early stage today, but it is expected to grow into an universal connection way of information and buying which transcend space and to be briskly used for securing the competition of crafts in 21century.

• Journal of Intelligence and Information Systems
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• v.29 no.4
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• pp.325-345
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• 2023

In the rapidly evolving domain of e-commerce, our study presents a cohesive approach to enhance customer satisfaction prediction from online reviews, aligning methodological innovation with practical insights. We integrate the RFE-SHAP feature selection with LDA topic modeling to streamline predictive analytics in e-commerce. This integration facilitates the identification of key features-specifically, narrowing down from an initial set of 28 to an optimal subset of 14 features for the Random Forest algorithm. Our approach strategically mitigates the common issue of overfitting in models with an excess of features, leading to an improved accuracy rate of 84% in our Random Forest model. Central to our analysis is the understanding that certain aspects in review content, such as quality, fit, and durability, play a pivotal role in influencing customer satisfaction, especially in the clothing sector. We delve into explaining how each of these selected features impacts customer satisfaction, providing a comprehensive view of the elements most appreciated by customers. Our research makes significant contributions in two key areas. First, it enhances predictive modeling within the realm of e-commerce analytics by introducing a streamlined, feature-centric approach. This refinement in methodology not only bolsters the accuracy of customer satisfaction predictions but also sets a new standard for handling feature selection in predictive models. Second, the study provides actionable insights for e-commerce platforms, especially those in the clothing sector. By highlighting which aspects of customer reviews-like quality, fit, and durability-most influence satisfaction, we offer a strategic direction for businesses to tailor their products and services.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.277-289
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• 2023

The purpose of this study is to explore the mechanisms influencing consumers' continued intention to use live-streaming e-commerce for shopping, providing strategic recommendations for businesses to optimize live-streaming activities and enhance consumers' shopping experiences. In this paper, we innovatively integrate the UTAUT2 and ECM theoretical models to construct a comprehensive research framework. This framework not only thoroughly reveals the multi-dimensional variables that affect consumers' continuous usage intentions but also delves deeply into the interrelationships among these variables. We collected data extensively through surveys and utilized the Structural Equation Modeling and Bootstrapping methods for analysis. The research results indicate that performance expectation plays a crucial role in determining the continuous usage intention; satisfaction exerts a significant mediating effect between performance expectation and four other variables concerning continuous usage intention; and expectation confirmation stands out as the most prominent factor in enhancing satisfaction.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.1
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• pp.53-58
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• 2024

This study is about the technology convergence analysis of e-commerce related patents containing Artificial Intelligence applied for in Korea. The relationships between core technologies were analyzed and visualized using social network analysis. As a result of social network analysis, the core IPC codes that make up the mutual technology network in e-commerce related patents containing Artificial Intelligence were found to be G06Q, G06F, G06N, G16H, G10L, H04N, G06T, and A61B. In particular, it can be confirmed that there is an important convergence of data processing-related technologies such as [G06Q-G06F], [G06Q-G06N], and voice and image signals such as [G06Q-G10L], [G06Q-H04N], and [G06Q-G06T]. Using this research method, it is possible to identify future technology trends in e-commerce related patents and create new Business Models.

• Journal of Korean Society for Quality Management
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• v.40 no.3
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• pp.372-380
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• 2012

Purpose: The purpose of this research is to develop the methods for evaluating the business value of a company's technical portfolios. In this study, technical portfolios of 10 major manufacturers and e-Biz industries are examined first from a business model perspective. Subsequently, we suggest future direction of R&D for the pharmaceutical industry by deducing the leading industries sharing similar traits with the pharmaceutical industry. Methods: In order to evaluate and analyze the patents of the major leading industries based on the constituents of a business model, the target patents were selected through the following procedure. Results: First, In this study, using the data obtained from the patent analysis, the differences in the technology portfolios of specific business entities based on the constituents of their business models. Second, deduced business rules of particular business entities through classification analysis and role-model of pharmaceutical industry Conclusion: If enterprise discovers technological change and characters of other enterprise or technology, enterprise could judge a direction of technology which will be developed in the near term and a plan which utilized existing technology to increase enterprise's profits.