• The Research Journal of the Costume Culture
• /
• v.22 no.6
• /
• pp.930-942
• /
• 2014

The purpose of this study is to apply the expectancy disconfirmation model to consumer post-purchase behavior toward fast fashion brands. This study incorporated repurchase intention as a result of consumer satisfaction. It was hypothesized that consumer satisfaction, which is influenced by expectation, perceived performance, and disconfirmation, influences repurchase intention. It was also hypothesized that expectation influences performance. This study examined the brands and prices of the most recent purchases of fast fashion and also examined whether the purchases were planned or unplanned. The hypothesized path was tested and the relative influences of instrumental and symbolic performance on satisfaction were identified. Data were collected from questionnaires answered by 344 university students who were selected by convenience sampling. The results were as follows: 1) Purchased brands were, in the order of frequency of purchase, Uniqlo, Zara, H&M, and Forever21, followed by domestic brands, 8seconds, Spao, and Mixxo. The frequency of unplanned purchase was more than twice higher than planned purchase. 2) Based on expectation and performance, dissatisfactory group was larger than satisfactory group, which were 35.8% and 24.7% respectively. 3) It was revealed from the expectancy disconfirmation model analysis that expectation and performance had positive influence, but cognitive dissonance had negative influence on satisfaction. Satisfaction had significant influence on repurchase intention. The path analysis showed that all hypothesized path coefficients were significant. The results suggest some effective marketing strategies for marketers in the fast fashion industry.

• The Journal of Society for e-Business Studies
• /
• v.4 no.3
• /
• pp.77-94
• /
• 1999

The Electronic Commerce is expected as one of the most prospective industries in the 21th century, This research performed a survey and analysis is based on the results of the service quality model and previous research of the service quality in MIS. Service quality, one instrument developed by the marketing area, is provided as a possible measure of internet shopping mall, Service quality measures five service dimensions of tangible, reliability, responsiveness, assurance and empathy. The main purposes of this study are to develop an exploratory model based on service quality that can explain the factors of customer's perceived service quality and investigate how these factors are related to consumer satisfaction. The results of this survey are summarized as follows: (1) Reliability and responsiveness of internet shopping mall are evaluated as very important factors, (2) Service quality is an antecedent of consumer satisfaction, (3) Consumer satisfaction has a significant effect on purchase intentions.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.22 no.1
• /
• pp.193-210
• /
• 2011

In this era all successful organizations, whether profit or nonprofit, accept marketing concept as management philosophy and try to maximize consumer satisfaction in order to achieve their own goals. Libraries are no exception. A consumer decision process model is borrowed to explain how library service users act through five stages. Armed with information about library users, library management can be more user-oriented and bring higher user satisfaction. Some measures for effective library management are suggested.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.13 no.1
• /
• pp.147-158
• /
• 2017

Internet is changing the way consumers shop and buy goods and services, and has rapidly evolved into a global phenomenon. The primary purpose of this study is to investigate the influence of consumer's on-line shopping values on satisfaction and intention to re-use. Economic value, emotional value, convenience value, social value, product variety were identified as affecting factors of satisfaction and intention to re-use of on-line shopping purchasing based on prior studies of on-line shopping behavior. This study tested the hypothesized model using the data from 132 consumers who have purchased products in on-line shopping mall. According to the result, economic value, emotional value, product variety are significantly related to the consumer satisfaction but convenience value, social value are not. Consumer satisfaction of online purchasing was also shown to be related to the intention to re-use. It can provide practical guidelines on effective operation strategies for consumer loyalty.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.36 no.12
• /
• pp.1297-1309
• /
• 2012

This study examined the effects of "me-model" body-size discrepancy on consumer's shopping mood, store satisfaction, and intention to revisit two types of online apparel stores (one featuring thin models and one featuring average-sized models). A convenience sample of women (n = 528) participated. Structural equation modeling was used to analyze the data. Participants who were thinner or similar to the models indicated positive shopping moods, a high level of online store satisfaction, and intended to revisit the stores when compared to participants who were larger than the models. Participants preferred the 'average-sized' model. This preference was attributed to the familiarity of the model and ability to effectively evaluate merchandise. The results revealed how models can influence apparel consumers in an online context.

• Journal of Information Processing Systems
• /
• v.18 no.1
• /
• pp.75-88
• /
• 2022

With the development of the sharing economy, existing recommender services are changing from user-item recommendations to user-user recommendations. The most important consideration is that all users should have the best possible satisfaction. To achieve this outcome, the matching service adds information between users and items necessary for the existing recommender service and information between users, so higher-level data mining is required. To this end, this paper proposes a user-to-user matching service (UTU-MS) employing the prediction of mutual satisfaction based on learning. Users were divided into consumers and suppliers, and the properties considered for recommendations were set by filtering and weighting. Based on this process, we implemented a convolutional neural network (CNN)-deep neural network (DNN)-based model that can predict each supplier's satisfaction from the consumer perspective and each consumer's satisfaction from the supplier perspective. After deriving the final mutual satisfaction using the predicted satisfaction, a top recommendation list is recommended to all users. The proposed model was applied to match guests with hosts using Airbnb data, which is a representative sharing economy platform. The proposed model is meaningful in that it has been optimized for the sharing economy and recommendations that reflect user-specific priorities.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.28 no.2
• /
• pp.61-74
• /
• 2003

Many firms try to enhance the customer satisfaction, because they believe that higher customer satisfaction leads to superior returns. According to expectancy disconfirmation model, consumers judge the satisfaction in comparison with their expectations about the product performance. If the performance is above the expectations, increase in satisfaction is expected. If the performance is below the expectations, decrease in satisfaction is expected. This explanation contradicts our beliefs that higher expectation leads to consumer's choices. To address the contradiction, this paper present a unified model which combines the expectancy disconfirmation model with the well-known diffusion model. The unified model shows that the expectation can increase the choices even if the expectation decreases the satisfaction.

• Asia pacific journal of information systems
• /
• v.31 no.2
• /
• pp.236-256
• /
• 2021

Online financial technology products are an important consumer finance innovation. While a large body of previous research has focused on initial adoption and consumer willingness to use these products, little research explores the continued use of these products beyond the initial adoption phase. In particular, special attention should be paid to how users' trust and perceptions of privacy and security affect continued use behavior. This paper integrates the expectation confirmation model of information system continuance (ECM-ISC), the information system success model (ISSM) and the security and trust literatures to investigate continued use of online financial technology. To test the research model, we collected 398 valid questionnaires from Ant Credit Pay users. The research results show that system and service quality positively impact users' expectation confirmation, while information quality has no significant impact. Expectation confirmation and perceived usefulness positively affect user satisfaction. Moreover, the user's perception of privacy and security plays a vital role in user satisfaction. Satisfaction and perceived trust jointly promote users' continuance behaviors. Findings of this study indicates the importance of the information system success factors and security factors due to their influence on the continued use of Fintech products. This conclusion has implications for enterprises in improving the product qualities and enhancing the degree of security to meet user needs.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.22 no.3
• /
• pp.19-32
• /
• 2020

Recently, the luxury brand market has expanded from the 5060 market to the 2030 market segment due to diversification of distribution channels, an increase in income, and changes in consumption values. This change is attributed to the increase in sales of fashion accessory products, such as bags and wallets, thereby confirming the importance of the luxury brand fashion accessories market. However, there are few studies of the luxury brand fashion accessories market or brand loyalty for fashion accessories, which accounts for a large proportion of the overall luxury brand market. The purpose of this study was to develop and empirically test a theoretical framework that captures and compares the difference of impact of service quality, product attributes, and consumer satisfaction on luxury brand loyalty between the 20-30 market and the 5060 market of the fashion accessories market. Data was collected from 598 customers who purchased luxury brand fashion accessories by objective sampling. Structural equation modelling was used to test the hypotheses developed for the study. Results found evident effects of consumer satisfaction on luxury brand loyalty through the perception of service quality by consumers. Additionally, in the 2030 market, the fashion accessory attributes had little impact on consumer satisfaction and luxury brand loyalty, whereas in the 5060 market, it had a significant impact only on consumer satisfaction, but not on luxury brand loyalty. This is the first study to examine a structural equation model of luxury brand loyalty to compare the difference of the model between segmented markets, such as the 2030 market and the 5060 market of the luxury brand fashion accessories market. These results will contribute to a better understanding of the mechanism that underlie the operation of an effective luxury branding strategy for fashion accessories.

• Journal of the Korean Society for information Management
• /
• v.19 no.3
• /
• pp.49-68
• /
• 2002

The purpose of this paper is to examine the evaluation models of internet sites and to analyze the factors affecting the consumer satisfaction of health information sites in the Internet. Based on the covariance structural model applied to a customer survey, this study shows that among the characteristics of the site. contents has the most significant effect on customer satisfaction, which in turn affects the consumer willingness to recommend the site to others.