• 유통과학연구
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• 제18권9호
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• pp.45-53
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• 2020

Purpose: This study aims at investigating consumers' choice in online food purchasing behavior and the impact on repurchase for fresh food delivery which has recently shown rapid growth in Korea. The study focuses on the user experience factors af fecting satisfaction and intention to continuously use the online food market. Research design, data and methodology: The survey was conducted by 309 people who had purchased fresh food online, and the analysis was conducted using SPSS and AMOS. Structural Equation Modeling was used for the analysis for the verification of hypotheses. The factors that consumers value when ordering fresh food delivery services were defined as system quality, service quality, commodity quality, brand characteristics, and economics from the preceding study and the relationship between satisfaction and willingness to repurchase was verified. Results: When consumers purchase fresh food online, system quality, product quality, brand characteristics, and economics have had a significant impact on satisfaction. Meanwhile, of the five optional attributes of consumers, only economic efficiency has been verified to have a statistically significant impact on repurchase intentions. Conclusions: The results of the study suggested factors that consumers consider important when ordering fresh food online, providing basic data for companies to develop related strategies.

• 동아시아경상학회지
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• 제7권1호
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• pp.1-16
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• 2019

Purpose - For the development of fresh food shopping malls, consumers should continue to experience loyalty and favorability for the company's products or brands, and this should lead directly to purchase so that active word-ofmouth and recommendation should be encouraged. Therefore, the purpose of this study is to investigate the effect of e-service quality and e-ERM on e-loyalty with customer satisfaction and commitment as mediators. Research design, data, and methodology - This study was conducted by sample survey method on 320 online customers who have experience in using major online fresh food shopping malls for more than one year. Data analysis methods were frequency analysis, confirmatory factor analysis, reliability analysis, correlation analysis, and structural equation model analysis. Result - Hypothesis 1 through Hypothesis 7 were all supported. The results of this study suggest that e-service quality and e-CRM of online fresh food shopping malls have a significant effect on satisfaction and commitment. Therefore, the conclusion has been derived that the focus of this study, that such satisfaction and commitment have a significant effect on e-customer loyalty. has been supported theoretically and empirically. Conclusion - This study suggests that studies on customer loyalty based on activation commerce factors related to fresh food in online shopping malls will be an index that can reflect on customer's needs corresponding with future trends of not only online shopping malls but also offline shopping malls.

• 유통과학연구
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• 제19권7호
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• pp.5-17
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• 2021

Purpose: The distribution of goods and the flow of information, determined by consumer behavior toward online shopping, is drastically popular worldwide. This study examines some factors such as brand trust, online sales promotion, consumer personality, delivery service, quality assurance, information search, and online consumer satisfaction influence online shopping behavior. Research design, data, and methodology: A constructed questionnaire in an online survey was conducted with 241 random cluster respondents in the greater Jakarta Area. Structure equation model was utilized to analyze and verify all the data. Results: Research finding indicates online sales promotion, delivery service, quality assurance, and online consumer satisfaction positively influence information search. Meanwhile, brand trust, quality assurance, and information search positively influence online shopping behavior. However, the result illustrates that consumer personality negatively influences both information search and online shopping behavior. Conclusions: To influence online shopping behavior, the most important factors that need to be considered by marketplaces are quality assurance. It positively motivates Indonesia's citizens to collect information and make unplanned purchases. The study finding can be a reference for brands to maintain and build outstanding product quality, an informational website, and an excellent marketing strategy so that customers can meet their expectations. Besides, it also broadens both companies' and individuals' knowledge about the digital revolution on consumer behavior.

• 유통과학연구
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• 제21권4호
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• pp.103-111
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• 2023

Purpose: The purpose of this study was to analyze Korean sports consumers' intention to stay using online sports products and services through online sports distribution platforms or return to using sports facilities and services in person. Research design, data and methodology: This study set up two models measuring consumers' recognition, attitude, and purchase intention toward online sports products and services based on involvement theory. An online survey was conducted and a total of 2,263 consumers participated in this study. Male participants were 1,256(55.5%) and female participants were 1,007(44.5%). Descriptive statistics were performed, and a path analysis was utilized to analyze the proposed model using SPSS 26 and SAS. Results: The results revealed two proposed models used in this study supported that consumers' online sports product and service recognition leads to a positive attitude toward online sports products and services. Moreover, consumers' positive online sports product and service attitudes were shown to lead to positive intentions to purchase online sports products and services. Conclusions: The findings revealed the recognition of consumers' online sports products and services led to positive attitudes and behavioral intentions. Implications were provided by suggesting the sports industry stick to developing online sports products and services until the endemic of COVID-19 is declared.

• 인터넷정보학회논문지
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• 제21권2호
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• pp.57-64
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• 2020

The widespread use of smartphones with a variety of features has enabled mobile Internet-based services. One of these is online-to-offline (O2O) based services that connects online users with offline stores to add value. Applying this O2O strategy to local information retrieval induces online users to be linked to offline regions, thereby enabling the exchange of local-based information and helps create new value. This paper proposes and illustrates the implementation of O2O-based a local information providing service that utilizes photos of the local attraction. Also, we propose a fake-free ranking method to provide reliable local information to users and suggest its application of the service.

• Asia pacific journal of information systems
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• 제13권2호
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• pp.87-104
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• 2003

Though much attention has been paid to offer various multimedia services by many online service providers, the study on consumer behavior of online information service users are yet to be further explored in various aspects. This study develops a mathematical model for analyzing online consumer's usage patterns, contrasted to the existing media selection theory and flow concept about usage behavior of information services. We demonstrated using some case examples that online information consumption can be viewed not only as a cognitive behavior interacting with online media, but also as an economically rational behavior depending on consumer's perceived cost and time spending. The results obtained in this paper will surely serve as a theoretical foundation for justifying the consumer's behavior and WTP (willingness to pay) for various online contents consumption empirically.

• 대한가정학회지
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• 제40권5호
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• pp.53-62
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• 2002

The purposes of this study were to examine: 1)the dimensions of online store attitude; 2)the differences in the online store attitude by product category and store type; and 3)the effects of online store attitude on store satisfaction and store loyalty. Data were obtained from an online questionnaire survey to 850 online shoppers who were randomly selected from the panel of an online survey agency, and 615 responses were analyzed. Factor analysis extracted 5 dimensions of store attitude including: process and security; service; promotion and presentation; price and quality; and merchandise. MANOVA revealed a significant difference in the price and quality factor by product category and store type. Multiple regression showed that the effects of price and quality, service, and process and security on store satisfaction were significant. Also, price and quality had a significant direct effect on store loyalty which was also affected by store satisfaction.

• 4차산업연구
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• 제4권1호
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• pp.29-36
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• 2024

Purpose: This study is a prior study for expanding the science museum's online services. Based on case studies, we propose an online service for science museums in the future. Research design, data, and methodology: This study analyzed online-based science museums services trends. The data was collected based on the cases of five national science museums. To understand the characteristics of science museum's online services, we analyzed the status of digital content provided by each science museum and the operation method of online special exhibitions. Result: The national science museums provided online services through virtual science museums, SNS, and YouTube. However, the services still imposed limitation on facilitating active learning for visitors. In the case of SNS and YouTube, it is only a one-time promotional tool. Conclusion: This study suggests the need for concrete measures to utilize the abundant content accumulated so far in actual education. Additionally, it emphasizes the importance of content development incorporating new platforms.

• 디지털산업정보학회논문지
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• 제11권1호
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• pp.209-223
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• 2015

Google was established an online service company. Lately, Google has widened to the business area until manufacturing industry. Apple was established a computer manufacturing company. So, new business models should develop and should be innovation in order to adapt to industry environments. New business model's development and innovation are attracted on strategy to expect the high performance at companies. In particular, it is important to companies facing a variety of problems. Therefore, the purposes of this study are as follows : First, there understand the perception difference on online service company, offline service company, manufacturing company. Second, there provide for the use of strategy on online service company, offline service company, manufacturing company. The results of this study are customer factor, strategy factor, revenue factor have been statistically significant differences using ANOVA analysis in industry field, and customer factor has been statistically significant difference using t-test in business field. Then, it will expect to increase business competition through the business model.

• 한국의류학회지
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• 제42권5호
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• pp.871-883
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• 2018

This study tests consumer responses to online product recommendation service offered by a website. A product recommendation service refers to a filtering system that predicts and shows items that consumers would like to purchase based on their searches or pre-purchase information. The survey is conducted on 300 people in an age group between 20 and 40 years in a panel of an online survey firm. Data are analyzed using confirmatory factor analysis and structural equation modeling by AMOS 20.0. The results show that personalization quality does not have a significant effect on trust, but relationship quality and technology quality have a positive effect on trust. Three types of quality of recommendation service also have a positive effect on commitment. Trust and commitment are factors that increase service usage intentions. In addition, this study reveals the moderating effect of light users vs heavy users based on online shopping time. Light users show a negative effect of personalization quality on trust, indicating that they are likely to be uncomfortable to the service using personal information, compared to heavy users. This study also finds that trust vs commitment is an important factor increasing service usage intentions for heavy users vs light users.