• Journal of Distribution Science
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• v.20 no.3
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• pp.95-106
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• 2022

Purpose: This study aims to verify the effects of omnichannel characteristics on pleasure, resistance and repurchase intention in the omnichannel situation in order to provide the innovative commercial business. Research design, data and methodology: The study examined relations between research concepts centered on previous studies, set hypotheses, developed a research model, and verified the model through a questionnaire survey. A total of 297 questionnaires were used for the final analysis, excluding the questionnaires showing insincere or outliers. Results: First, Omnichannel showed multi-dimensional characteristics consisting of consistency, innovation, economy, and integration. Second, innovation and economic feasibility had a positive effect on pleasure. Third, only economic feasibility had a negative effect on user resistance. Fourth, consumers' shopping pleasure had a negative effect on user resistance. Fifth, repurchase intention of consumers was positively affected by innovation. Conclusions: This research contributed to extend academic framework of distribution research by examining causal relationship through adoption of economic and innovation factors as new characteristics from the integrated perspective beyond the research frame of the existing omnichannel distribution environment. Companies should provide meaningful experiences by resolving concerns about side effects caused by human-computer interaction and providing smart information that matches the products most suitable for consumer needs.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.202-208
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• 2024

Objective: The purpose of this study is to examine the competitive environment of 7-Eleven using Porter's 5 Force model to analyze the specific competitiveness of 7-Eleven that has maintained continuous growth as a competitive company. Methods: This study is a case study of 7-Eleven. Results: As a result of the analysis, 7-Eleven has reinforced its competitiveness with existing competitors by raising entry barriers by expanding domestic stores and developing overseas convenience store business, focusing on North America, based on economy of scale. In addition, 7-Eleven seeks to differentiate itself from other convenience stores by developing a "private brand" and strengthens its bargaining power with suppliers through the development of new products by gathering information and know-how of experts in product development based on customer needs. The bargaining power with customers has been strengthened by building loyalty and trust in the brand by allowing consumers to purchase the same products at the same price no matter which store they visit. As a threat to potential competitors, 7-Eleven has secured a competition advantage by raising the barrier to entry by concentrating stores in specific areas through a dominant franchise development strategy and increasing awareness of 7-Eleven among consumers. In the case of threats from substitute products, it was confirmed that 7-Eleven has overcome the threat from substitute products by opening 24 hours a day and providing various services such as ATMs and copiers.

• Knowledge Management Research
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• v.15 no.3
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• pp.209-228
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• 2014

The explosive growth of social commerce engenders a new business model, that is, infomediary. In a social commerce environment, infomediary works as a personal agent who provides information about various web merchants to help consumers select appropriate merchants for their needs. The purpose of this study is to identify the factors influencing consumer attitudes towards infomediaries in social commerce and examine the relationship between intention to provide word of mouth and consumer attitudes. In total, 170 responses were collected from social commerce infomediary users. The results show that competence and integrity significantly influence user attitudes as trust dimensions. Infomediary reputation and two functional factors (information variety and navigation functionality) turn out to be significant antecedents for user attitudes toward infomediary in social commerce. User attitudes in turn significantly influence the intention to provide word of mouth. Future research and practical implications are also discussed.

• Journal of information and communication convergence engineering
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• v.9 no.1
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• pp.50-54
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• 2011

Recently there are so many media contents created and used by variety routes. Therefore, it is essential to make a new platform which is used for distributing media contents include IPTV. With open IPTV service, developing the new platform became even more important. Because open IPTV makes it possible for consumers to choose contents regardless of contents of the providers. The new platform has to accept current variety service structure. MPEG-21 multimedia framework was developed to satisfy these needs. It presented the distribution framework of the contents but didn't restrict the particular solutions for protecting the rights. In this paper, we present authoring and consuming system for package contents based on MPEG-21 Multimedia Framework for distributing media resources and managing the license of multimedia contents

• Proceedings of the KAIS Fall Conference
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• 2004.06a
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• pp.335-338
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• 2004

Life-Cycle Engineering(LCE) is a decision-making methodology that considers environmental and cost needs during the product life-cycle. Environmental conscious design and manufacturing has become more and more important and it has been enforced by governmental regulations and used as trade restriction. LCE involves integrating environmental consideration into new product development including design, material selection, manufacturing processes and distribution of the product to the consumers, plus the end-of-life management such as disassembly, material recovery, remanufacturing of the product after discarding it. In this paper, a state-of-the-art survey of LCE is presented.

• The Journal of Information Technology
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• v.2 no.1
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• pp.191-207
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• 1999

The study is in attempting for reviewing the selection problem of the measurement and the model, concerning a consumer satisfaction model. Therefore, a common model, which measures degree of consumer satisfaction by an arithmetic mean from measurement method including data, which assess compulsively the attribution and the importance to consumers, shows the problems of a field application. There showed a high predictive validity in the model of a singular item using the degree of a general satisfaction rather than a detailed assessment. However, the single model needs the model of consumer satisfaction from the using of plural items, because of the field problems that produce in an alternative application. There showed a high significance level in the model including variables, which are showing a high correlation between purchase intention and predictive validity.

• The Journal of Information Systems
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• v.28 no.3
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• pp.227-247
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• 2019

Purpose The purpose of this study is to identify the needs of art education suppliers and consumers and develop service models for an art education platform. In order to overcome the limitations of existing services limited to instructor-student customizing functions, our services take into account comprehensive relationships among various stakeholders and activities that constitute the art ecosystem Design/methodology/approach We reviewed the relevant reference and conducted interviews and surveys with stakeholders of art education market, so that identified the demand and functional priorities. Findings We identified the demand and functional priorities for customizing to as to develop major service models(i.e. service models for lessons, cubes, and businesses) for the art education platform.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.444-446
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• 2022

In this study, technology is rapidly developing due to the fourth industry, which is drawing attention these days, and the pace of change in today's industries is changing in an instant. Among them, the study compares the various systems of smart factory, a manufacturing industry that requires customized production as workers are gradually decreasing due to the aging population and consumers' needs are diversified and diversified.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.9
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• pp.1293-1304
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• 2022

The personalization recommendation system means analyzing each individual's interests or preferences and recommending information or products accordingly. These personalized recommendations can reduce the time consumers spend searching for information by accessing the products they need more quickly, and companies can increase corporate profits by recommending appropriate products that meet their needs. In this study, products are recommended to consumers using collaborative filtering, matrix factorization, and deep learning, which are representative personalization recommendation techniques. To this end, the data set after purchasing shopping mall products, which is raw data, is pre-processed in the form of transmitting the data set to the input of the recommended system, and the pre-processed data set is analyzed from various angles. In addition, each model performs verification and performance comparison on the recommended results, and explores the model with optimal performance, suggesting which model should be used when building the recommendation system at the mall.

• Journal of the Korea Society of Computer and Information
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• v.24 no.8
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• pp.113-121
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• 2019

The personalized meal service is being developed to prevent and alleviate illnesses according to the individual's health condition. However, the current meal does not provide a fully customized service to individuals and a diet that meets the consumer's information needs. The cause is the lack of information on the ingredients and the difficulty of comparative analysis between the materials. Therefore, in this study, we propose basic analysis process for basic information acquisition and database construction for food composition before providing personalized food. In this study, we investigated the content of carbohydrate, reducing sugar and protein as basic components of Grifola frondosa and investigate the content of polyphenol as a biological active ingredients. Respectively. Studies on the hypoglycemic effect of the diabetic rat model have been carried out in relation to the prevention of diseases. Based on the results of this study, it is also possible to obtain information on the basic ingredients of the food and to analyze the information on the content and activity of the biological active ingredients. Using animal models, information on disease prevention and mitigation was also available. The process introduced in this study is applied to various food materials, accumulating data, and utilizing Database, this results will be an excellent tool for providing more efficient service by providing a proper dietary composition for consumers.