• Journal of Fashion Business
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• v.27 no.4
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• pp.38-49
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• 2023

Fashion vertical platforms offer various content and events to consumers and have established a strong customer base. Especially, they cater to the sensibilities of young customers. This study analyzed the characteristics of a sensuous fashion vertical platform, which enhances expertise and provides customized services. In addition, this study aimed to find out whether consumer innovation modulates the relationship between fashion vertical platform, platform satisfaction, and continuous shopping intention. An online survey was conducted targeting consumers in their 20s and 30s who had experience using fashion vertical platforms, and 222 samples were analyzed. Factor analysis and structural equation model were analyzed using the SPSS 29.0 and Smart-PLS. Smart-PLS analysis results showed that exclusivity, convenience and informativeness did not directly affect continuous shopping intention but showed a complete mediating effect through platform satisfaction. Both the high and low innovative groups demonstrated significant effects of exclusivity on platform satisfaction, and platform satisfaction showed significant effects on continuous shopping intention. A high level of innovation among the consumers showed significant mediating effects on exclusivity, personalization, and continuous shopping intention, as reflected by information on platform satisfaction, and low level of innovation among the consumers showed significant effect on convenience. This study's findings highlight the importance of enhancing exclusivity, convenience, informativeness, and esthetics in fashion vertical platforms, and improving platform satisfaction. These findings will be used to develop marketing strategies that can lead to continuous shopping intentions and provide opportunities for the industry.

• Journal of the Korea Society of Computer and Information
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• v.14 no.4
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• pp.179-187
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• 2009

Most real world systems contain a series of dynamic and complex phenomena. One of common methods to understand these systems is to build a model and analyze the behavior of them. A two-step methodology comprised of clustering and then model creation is proposed for the analysis on time series data. An interface is designed for CRM(Customer Relationship Management) that provides user with 1:1 customized information using system modeling. It was confirmed from experiments that better clustering would be derived from model based approach than similarity based one. Clustering is followed by model creation over the clustered groups, by which future direction of time series data movement could be predicted. The effectiveness of the method was validated by checking how similarly predicted values from the models move together with real data such as stock prices.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.211-219
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• 2022

The purpose of this study is to improve the operation of shopping mall by examining the effect of service characteristics of Greenanum on customer satisfaction, repurchase and recommendation intention. The hypothesis was verified with SPSS22.0 and PROCESS macro 3.5. As a result, some hypotheses were supported between satisfaction, repurchase, and recommendation for service characteristics. Second, positive effects were found between satisfaction and repurchase, and recommendation intention. Third, a mediating effect appeared. Implications include improvement of low site awareness, benchmarking, and product quality improvement. In the future, it will be necessary to study the differences in the various characteristics of the products sold rather than the differentiation of the shopping mall itself.

• Korea Trade Review
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• v.43 no.1
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• pp.69-90
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• 2018

Customer demand is rising as services competition becomes more intense among logistics companies. Some large companies provide total logistics services, but most logistics companies provide total logistics services in cooperation with other companies. Therefore, supply chain competition is becoming more important than competition among logistics providers. The purpose of this study is to verify the effects of logistics cooperation and supply chain competence on logistics performance. In this study, we conducted a literature review to identify the key factors that logistics companies consider important, and establish a conceptual research model. A survey was conducted on 286 logistics companies in Korea, and hypotheses were verified based on the structural equation model. The hypotheses test results are as follows. First, logistics cooperation had a significant effect on supply chain competence and logistics performance. Second, logistics performance improves when supply chain competence is strengthened. Third, higher level logistics expertise resulted in greater logistics cooperation effects on logistics performance.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.10
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• pp.71-79
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• 2018

The Internet of Things is a technology that makes it possible for objects made up of hardware and software to exchange information with one another via the Internet, thereby facilitating the servitization of the objects. An IoT service, which is composed of an IoT device and a web service, has recently been applied to the marketing field and is being used as a means to meet customer needs. However, applying appropriate marketing elements to IoT services is not easy. Therefore, analysis tools are needed to properly apply marketing elements to IoT services. This study aims to construct an analysis model for marketing evaluation of IoT services. In this study, the technical elements and marketing elements of IoT were derived through a literature review, and the analysis model for marketing evaluation of IoT services was established by exploring the relationship between the elements based on a service blueprint. We also applied real cases to verify the analytical model. This study is expected to contribute to the development of tools for evaluating IoT services.

• Journal of the Korean Society of Food Culture
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• v.25 no.6
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• pp.820-831
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• 2010

This study was conducted to investigate the relationship between long naming of beverages and its effect on people's perception by gender. The survey was conducted in the Seoul area from March 10 to May 10, 2010. Approximately 59% of male and 41.8% of the female respondents were randomly selected from university students aged 20 to 29-years. Most (79.8%) of the students responding to the survey showed a preference for beverages. "Long-named beverages with ingredients listed" were considered the most reliable and ranked highest at 3.74, A significant difference was observed between males and females. "Long-named beverage that were made from domestic agricultural products" were regarded as the most healthful and ranked highest at 4.01. A significant difference between males and females was also observed. Long-naming influences a customer's purchasing tendency. In particular, women were more influenced by a sense of wellbeing when they purchase, because they are more interested in losing weight and being healthy.

• Asia Marketing Journal
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• v.8 no.3
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• pp.101-121
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• 2006

This case study explores various marketing strategies of Grundfos Pumps Korea Inc. that has become a front-runner in the industrial pump market of Korea as the enterprise that got into the business later. Grundfos Group, a multinational company with its head office in Denmark, has acknowledged diversity of each country and has granted its subsidiary companies with discretionary power so that they can establish marketing strategies suitable for the market they were competing in. Grundfos Pumps Korea has been very successful in its localization and differentiation of marketing strategies. First, Grundfos Pumps Korea achieved the trust of their customers by its high quality and consistent pricing strategies and has expanded its market very successfully with continuous product innovation and new product ideas. Second, it increased its brand awareness and recognition by brand differentiation along with the product differentiation strategy, which is exceptional in industrial market. It has conducted creative marketing activities and strategies to build brand equity and successful customer relationship management.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.5
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• pp.891-906
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• 2023

The essence of fashion brands' marketing with metaverse-based virtual spaces is to capture more potential consumers and boost the sales of companies' virtual and physical products. However, existing research has not fully addressed customer responses and behavioral outcomes regarding fashion virtual brand spaces. This study uses flow theory to address this gap and explores the factors that lead to the flow experience in virtual brand spaces. It also establishes the causal relationships between the flow experience, satisfaction with virtual spaces, the intention to purchase virtual products, and the intention to purchase actual products. We chose "Ralph Lauren World" of Ralph Lauren on Zepeto as the virtual brand space for this study and analyzed 239 valid data sets. We tested the hypotheses using structural equation modeling and bootstrapping for the mediation analyses. The findings indicate that the flow experience in virtual brand spaces positively and indirectly affects the purchase intention of virtual products via satisfaction with virtual brand spaces. In addition, virtual space satisfaction had an indirect, positive effect on actual product purchase intention through virtual product purchase intention. The research emphasizes that the purchase intention of virtual and actual products has a positive causal relationship.

• Journal of Information Technology Services
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• v.22 no.5
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• pp.31-49
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• 2023

Due to the outbreak of the COVID-19, self-service technology is widely used in Korea, and demand for disposable cups is increasing significantly. Waste and recycling of disposable cups have become a social concern for Koreans and Korea implemented the "Disposable Cup Deposit Systems" again in December 2022. Whether the emergence of this system can change the way people behave in environmental protection is a question to be examined in this study. Companies participating in the disposable cup deposit system are hoping that customers will actively recover cups through self-service in the process of collecting disposable cups. The government, along with businesses, transfers recovery work to customers through self-service technologies and schemes. Due to the increase in Shadow Work and the strengthening of consumer environmental protection consciousness, this paper focuses on how unmanned service types such as self-service technology can affect people's environmental protection behavior. An empirical analysis with 477 samples examined how the characteristics of shadow work, perceived efficacy, environmental awareness, and ecological guilt affect user's environmental protection behavior. Perceived efficacy that acts as a mediator and ecological guilt that plays as a moderator are investigated. Although there have been many studies on the effects of shadow work on customer behavioral intentions before, it has been very rare to study the effects of shadow work perceived by people on environmental behavioral intentions from an environmental protection perspective. This study shows that the higher the perceived efficacy of consumers, the more people prefer self-service technology and the stronger the environmental protection behavior. Also, consumers' ecological guilt significantly moderates the relationship between environmental consciousness and eco-friendly behavior. It is expected that companies and governments will be able to understand the impact of shadow work on consumers' environmental protection behavior and further promote environmental protection by appropriate policies and marketing strategies.

• Journal of Korean Society for Quality Management
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• v.52 no.1
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• pp.149-172
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• 2024

Purpose: By empirically analyzing factors that affect the intention to introduce RPA, we aim to increase understanding of RPA introduction in small and medium-sized businesses and contribute to establishing an effective introduction strategy. The aim is to improve the company's productivity, reduce costs, and strengthen its competitiveness. It also provides policy recommendations for the introduction of RPA. Methods: A survey was conducted to examine whether the technical, organizational, and environmental factors of the TOE framework had an impact on the intention to adopt RPA. We also used stepwise regression analysis to determine whether firm size moderates this relationship. Results: Technical factors, organizational factors, and environmental factors were all found to have a significant impact on small and medium-sized enterprises' intention to adopt RPA. It was confirmed that company size has a moderating effect affecting the intention to adopt RPA. In particular, customer pressure, relative advantage, competitive pressure, age, government support, and the perceived ease of use of RPA was a key determinant of its adoption by small and medium-sized enterprises. Conclusion: This suggests that small and medium-sized businesses should comprehensively consider technical, organizational, and environmental factors when introducing RPA. It is expected to increase understanding of RPA introduction in small and medium-sized businesses, contribute to establishing effective introduction strategies, and contribute to improving company productivity, reducing costs, and strengthening competitiveness.