• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.311-328
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• 2022

Because of the spread of smartphones due to the development of information and communication technology, online shopping mall services can be used on computers and mobile devices. As a result, the number of users using the online shopping mall service increases rapidly, and the types of products traded are also growing. Therefore, to maximize profits, companies need to provide information that may interest users. To this end, the recommendation system presents necessary information or products to the user based on the user's past behavioral data or behavioral purchase records. Representative overseas companies that currently provide recommendation services include Netflix, Amazon, and YouTube. These companies support users' purchase decisions by recommending products to users using ratings, purchase records, and clickstream data that users give to the items. In addition, users refer to the ratings left by other users about the product before buying a product. Most users tend to provide ratings only to products they are satisfied with, and the higher the rating, the higher the purchase intention. And recently, e-commerce sites have provided users with the ability to vote on whether product reviews are helpful. Through this, the user makes a purchase decision by referring to reviews and ratings of products judged to be beneficial. Therefore, in this study, the correlation between the product rating and the helpful information of the review is identified. The valuable data of the evaluation is reflected in the recommendation system to check the recommendation performance. In addition, we want to compare the results of skipping all the ratings in the traditional collaborative filtering technique with the recommended performance results that reflect only the 4 and 5 ratings. For this purpose, electronic product data collected from Amazon was used in this study, and the experimental results confirmed a correlation between ratings and review usefulness information. In addition, as a result of comparing the recommendation performance by reflecting all the ratings and only the 4 and 5 points in the recommendation system, the recommendation performance of remembering only the 4 and 5 points in the recommendation system was higher. In addition, as a result of reflecting review usefulness information in the recommendation system, it was confirmed that the more valuable the review, the higher the recommendation performance. Therefore, these experimental results are expected to improve the performance of personalized recommendation services in the future and provide implications for e-commerce sites.

• Journal of the Korea Society of Computer and Information
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• v.13 no.7
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• pp.291-305
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• 2008

Previous study about Mobile Music Contents was mainly focused on Industry factors & enterprise factors like Technology. This study is not only focused on Technology factors, but also Customer & System factors like TAM of original, and also, this study first tried to find the Mobile Internet medium's customer purchase by each property's Mobile Music Contents from assorting the Mobile music Contents property and defining them. So to speak of this study have tried to concretely verify the factors of purchase. And also, I proposed an transformated model, and added independent variable factors, 'distinction', 'speed of system', 'speed of network', 'a career of use', 'amount of use', 'preservation', 'customization', 'information', 'confidence', 'omni presentation', 'potential possibility of reproduce'. By applying TAM this study has measured how the product property. user property, and system property causes effect to customer purchase of Mobile Music Contents. In results, First, success 8 factors were determined to be the purchase of 'Ringtone'. Second, 8 factors were determined to be the purchase of 'Ring-Back tone', but, 'The use of convenience' was not influenced 'Intention of Purchase'. Third, 6 factors were determined to be the purchase of 'Full Track Download of Music'. At the Conclusion this study presented a scheme that these study results could be applied in actual company and academic world.

• The Korean Journal of Community Living Science
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• v.25 no.3
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• pp.373-382
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• 2014

This study was explored the relationship of fit-related factors and, clothing evaluation criteria to clothing satisfaction. A total of 247 completed responses were obtained from a convenient sample of female students in their twenties. The statistical analysis methods included factor analysis, an ANOVA, and a multiple regression analysis. First, clothing evaluation criteria included practicality, product trait, and symbolism. Second, a comparison of clothing evaluation criteria and clothing satisfaction in groups divided by fit-related factors showed significant differences. In particular, the fat body type group showed higher level of the product trait and the thin body type group showed lower level of clothing satisfaction. The high activity group showed higher levels of clothing evaluation criteria and lower level of clothing satisfaction. Third, body type perception (-) and activity importance (-), fit-related factors, and practicality (+), clothing evaluation criterion had significant effects on clothing satisfaction. Therefore, These results suggest that fashion firms should make efficient use of fit-related factors and clothing evaluation criteria to enhance consumers' clothing satisfaction and to stimulate their purchase intention toward fashion goods.

• Journal of the Korean Society of Fashion and Beauty
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• v.5 no.2 s.13
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• pp.68-74
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• 2007

The purpose of this study was to find out the difference between high self-esteem and low self-esteem about the product. The study used the questionnaire method to find out the control effect of self-esteem on apparel brand types. The survey data was analyzed by SPSS Hangul 10.0 Statistic Package. 16 apparel brands that had been selected by a preliminary study were surveyed by using. Brand Mapping was performed in each group for brand classification, and ANOVA was conducted in order to compare the variables depending on brand types. The self-esteem was surveyed by using the self-esteem scale by Rosenberg was used. Multivariate analysis was conducted to identify brand preference, product involvement according to purchase intention and the interactive effects of the brand types that are divided into familiarity and control recognition. For the purpose of the study was to compare searched the results of the high self-esteem comparison with the low self-esteem. The results of the study found the differences on perception about the brand between the high self-esteem and the low self-esteem on the preference. People with high self-esteem liked the brand that was perceived obedience. But the low self-esteem liked the brand that was perceived control.

• Fashion & Textile Research Journal
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• v.10 no.3
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• pp.289-297
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• 2008

This paper was to examine the salesperson's service that the consumer demands in different types of fashion retailing formats including department store, discount store and outlet store. Data has been collected from June to August in 2005 in Pusan and Seoul on subject of 1000 adult over18 years old and 979 pieces were used to analyze. Data analysis was conducted by factor analysis, regression using the SPSS statistics package program. Services in common in 3 fashion retailing formats were "individual concerning", "kindness, courtesy/customer respect", "quick correspondence/convenience", and "product knowledge". Unique services that consumer demanded for the department store were professional and polite attitude; for the discount store, honesty and convenience for refund and exchange; for the outlet store, wide range of product selection. The results has shown that the part of salesperson's service dimensions influenced the consumer's purchase, repurchasing intention and the level of satisfaction. Therefore fashion marketers need to carefully implicate operation and service management depending on the retailing formats.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.9
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• pp.333-340
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• 2021

In Vietnam, the desire to consume organic vegetables is increasing as people become increasingly concerned about foods that contain several chemicals and toxins that are hazardous to their health. However, numerous subjective and objective factors continue to influence customers' purchase intention and behavior, indicating that this market has not yet reached its full potential. The study analyzes the impacts of trust, price, and convenience on consumers' consumption behavior and frequency of using organic vegetables in Northern Vietnam. We surveyed 312 consumers in the region. After classifying the data, 178 participants have used or regularly used organic vegetables selected for further study. Next, the author applied SmartPLS software with version 3.3 to test the hypotheses and analyze the effects of the observations. The result shows that three main factors affect customers' organic vegetable consumption behavior, especially perceived convenience. This study contributes to the development of comprehensive policy mechanisms and regulations on product traceability. Furthermore, market management authorities must have a strategy in place to inspect the product quality of organic vegetable store chains regularly to build customer trust and support the growth of organic vegetable production and supply chains in Vietnam's northern region.

• Journal of Distribution Science
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• v.19 no.11
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• pp.69-80
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• 2021

Purpose: Consumers have unique behaviors that are classified based on their interests and considerations before buying. They are predicted will change due to the pandemic of COVID-19. This study provides insights for retailers about the dynamic of consumer behavior before and during the pandemic, including future predictions. Research design, data and methodology: The Preferred Reporting Items for Systematic Review and Meta-Analysis (PRISMA) statement was applied in this study. Seven studies that were selected from five databases meet the criteria for cohort and cross-sectional analyses of gender, age, store types, and environmental concerns. Results: Consumer's gender and age contribute to consumer behavior change. Both offline and online stores can be integrated as omnichannel rather than substitute each other. Product distribution and consumer budget need to be reevaluated by retailers, while internet security is the most essential factor when developing their online transactions. Conclusions: COVID-19 pandemic has a significant impact on changing consumer behavior in most countries. Retailers are encouraged to adapt to the changes by modifying their business model with technology. However, it is still speculated and cannot be generalized due to different cultural and contextual factors. Future studies are always needed to synchronize along with the transition of consumers' behavior.

• The Journal of Industrial Distribution & Business
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• v.12 no.4
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• pp.7-13
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• 2021

Purpose: This study aims to empirically analyze the effects of user experience on satisfaction and repurchase in the online food market and to present implications. Online food markets have rapidly dominated the grocery market since their appearance, and online food purchases by middle and seniors as well as young people are increasing rapidly. Research design, data, and methodology: The survey was conducted on 268 consumers with experience in using online food markets, and the results of the survey were analyzed using SPSS statistical program to verify reliability and feasibility, and using structural equation modelling (SEM) using AMOS. This study positively analyzed the impact of satisfaction and repurchase intent by setting system quality, product quality, brand characteristics, and economics as user experience factors in online food markets. Results: The results showed that among online food market user experience factors, the quality of the product and brand characteristics have a significant impact on satisfaction. This means that consumers decide to purchase food through online food markets by considering high-quality products and brand value together. Conclusions: This study has broadened the horizon of recent research on online food market which has been rapidly increasing in the market triggered by Covid19, providing significant implications.

• Journal of Distribution Science
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• v.21 no.2
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• pp.103-110
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• 2023

Purpose: The high-end and variety of recently released items are driving the growth of the distribution industry, which is the purpose of private brand (PB) products. Because PB shortens the distribution process and lowers marketing expenses, such as those associated with various commercials, more people will buy PB while paying lower retail prices. The goal of this study is to make the case that PB can be positioned successfully by determining the influence and direction of each individual constituent concept on how product and store attributes (perceived price, image of retail store) affect the perceived value of PB and the legitimacy of retailers. Research design, data and methodology: The gathered data were examined using PLS-SEM using Smart PLS 3.0 in order to analyze the research model of this study. Internal consistency was verified to demonstrate the measurement model's dependability, and extensive validity analysis, discriminant validity, and analysis were performed to verify the validity. Conclusion: This researcher attempted to gather diverse understandings and viewpoints on PB trends in addition to understanding the existing state of PB products. It is meant to be a unique and successful plan in the PB Brands' marketing strategy. By understanding the brand's value proposition aspects, it is hoped to determine how PB influences brand attitudes based on the findings of this study.

• Smart Media Journal
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• v.13 no.1
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• pp.67-75
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• 2024

The purpose of this research is to investigate consumer responses to production recommendations by AI. In order to test hypotheses of this study, we conducted experimental study that was a 2(Brand reputation: high vs. low) X 2(Social comparison: high vs. low). The results of this study showed the interaction effects of brand reputation and social comparison on brand attitude. Based on the results, we provide theoretical implications to extent the existing research regarding product recommendations. Moreover, the results of this study provide some practical implications and a new aspect about AI recommendations.