• International Commerce and Information Review
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• v.6 no.1
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• pp.77-98
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• 2004

This paper examines the major determinants affecting the user satisfaction on e-Trade portal sites in small and medium-sized exporters. The development of our research model is based on the empirical studies on the service quality of information system, web sites or Internet shopping mall, and on the factors influencing the user satisfaction. With the help of a regression analysis and factor analysis, five hypotheses are derived and tested. The results from regression analysis suggest that the user satisfaction of e-Trade portal sites is affected by information characteristics and ease of use of e-Trade portal sites. In addition, the user satisfaction of e-Trade portal sites is enhanced by support for international trade. Our findings will be useful, especially for those who are planning to build user-oriented e-Trade portal sites.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1993.04a
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• pp.329-338
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• 1993

The main objective of this paper is analyzing the effects of task uncertainty on EUC characteristics and end user satisfaction. Task uncertainty were identified as an important determinant of EUC characteristics. And the moderating effect of task uncertainty on the relationship between EUC characteristics and end user satisfaction was suggested. A field study was undertaken to test the hypothesized relationships among task uncertainty, EUC characteristics, and end user satisfaction Data were collected from 138 end-user of 19 Korean business organizations. The empirical results indicated that task uncertainty was significantly related to EUC characteristics and that task uncertainty had significant effect on the relationship between EUC characteristics and end user satisfaction. Implications and future research directions are drawn for the management of EUC and for further research on EUC.

• The Journal of Information Systems
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• v.32 no.3
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• pp.19-39
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• 2023

Purpose This study aims to identify user experience factors that can enhance both metaverse utilization and satisfaction based on the honeycomb model. For this we presented two research questions: first, what are the experience factors of metaverse users? Second, do metaverse user experience factors impact satisfaction? Design/methodology/approach To address these questions, a mixed-methodology approach is employed, including text mining techniques to analyze online reviews and quantitative econometric analysis to reveal the relationship between user experience factors and satisfaction. A total of 69,880 reviews and ratings data were collected. Findings The analysis revealed eight metaverse user experience factors: entertainment, operability, virtual reality, immersion, economic activity, visual performance, avatar, and sociality, all of which were found to have a positive impact on user satisfaction.

• The Korean Journal of Community Living Science
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• v.15 no.3
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• pp.3-14
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• 2004

This study examined how product characteristics and system characteristics have affected user's economic, psychological and operating satisfaction and intention of repurchase in Internet shopping malls. The results of the study were as follows: First, it showed that product characteristics and user satisfaction have significant differences; the ability to recognize economic and psychological user satisfaction differs according to the characteristics of the product. It also showed that the degree of psychological and operating user satisfaction varies according to the convenience of order and payment as well as the convenience of the system and customer service. Second, it was found that economic, psychological and operational user satisfaction had an effect on customer's intention to repurchase. This study, focusing on particular variants of on-line shopping, found that characteristics of product and system had a great impact on user satisfaction and intention to repurchase. For the firms who run internet shopping malls, therefore more attention should be directed to the convenience of products and system problems in their services since it is so easy for customers to move to another shopping site with a simple click. The result of such an investigation may lead customers to repurchase by increasing their satisfaction with the shopping services.

• Management Science and Financial Engineering
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• v.13 no.2
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• pp.79-97
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• 2007

This paper investigates the relationship of service quality and user satisfaction in the wired and mobile Internet services based on the integrative framework of both systems. Given a moderate level of reliability and validity, the commonly driven dimensions for measuring service quality include responsiveness, assurance, empathy, convenience, usefulness, and diversity. User satisfaction is measurable by the dimensions of communication/entertainment, finance/economics, location/geography, and information/consulting. We apply the MANOVA tests to evaluate whether each of the service quality dimensions has an overall influence on user satisfaction. Next, multiple regression analyses are conducted to check if unique positive effect exists between each combination of service quality dimensions and user satisfaction dimensions. The results show that service quality must be taken care of with respect to the assurance dimension in order to enhance customer satisfaction in the dimensions of location/geography, which will contribute to increasing the utilization of mobile service. For improving user satisfaction in the dimension of information/consulting, service quality must be supported with respect to assurance and empathy in the mobile Internet market, in addition to diversity, which is the only significant service quality in the wired Internet service.

• Journal of Korean Society of Archives and Records Management
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• v.9 no.1
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• pp.77-98
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• 2009

The purpose of the study is to analyze the user satisfaction of 'the Presidential Web Record Service' using a proposed model of the user satisfaction index which consists of contents quality, service quality, and system quality. In addition, user's royalty and compliant are also measured in this study. This study shows that satisfaction of contents quallity and system quality influence significantly on the user satisfaction. And contents quality, service quality, user satisfaction show a significant relationships to user's royalty.

• The Journal of Information Systems
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• v.29 no.1
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• pp.1-22
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• 2020

Purpose Along with increasing use of mobile devices, the sharing economy platform services, which generate profits by sharing products owned or labor, have been activated. A representative example of the sharing economy platform service is Airbnb, which connects providers having idle residential space with users. The results revealed that the cases of superhosts and professional companies had a positive and negative effect on user satisfaction, respectively. Based on signaling theory, this study drew the following implications: residential space providers should make an effort to meet the superhost conditions suggested by Airbnb, and offering residential spaces by individual suppliers rather than professional accommodation companies can more heighten user satisfaction. Design/methodology/approach Because sharing behavior is promoted through trust between interested parties, this study aimed to verify the effects of provider characteristics on user satisfaction in a sharing economy platform service. Specifically, it analyzed user satisfaction, according to host attributes (i.e., "superhost or not," gender, and "professional company or not") among the characteristics of Airbnb suppliers. Findings The results revealed that the cases of superhosts and professional companies had a positive and negative effect on user satisfaction, respectively. Based on these analyses results, this study drew the following implications: residential space providers should make an effort to meet the superhost conditions suggested by Airbnb, and offering residential spaces by individual suppliers rather than professional accommodation companies can more heighten user satisfaction.

• Journal of Information Processing Systems
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• v.18 no.1
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• pp.75-88
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• 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 BIBLIA Society for library and Information Science
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• v.24 no.1
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• pp.83-103
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• 2013

According to the results from the recent research in Business field, the correlation between customer satisfaction and customer loyalty is not strong. Based on this understanding, the first purpose of this study was to investigate the correlation between public library service user satisfaction and public library service user loyalty. To achieve this purpose, the study conducted a survey of 240 public library users. The findings of this study are 1) the correlation between 'public library service user satisfaction' and 'public library service user loyalty' exists. However the strength of the correlation is moderate, 2) the correlation between 'public library service user satisfaction' and 'public library service users' intention to use new library services' is the weakest among the variables of 'public library service user loyalty', and 3) the correlation between 'public library service user satisfaction' and 'public library service users' intention to recommend library services to others is the strongest among the variables of 'public library service user loyalty'. The second purpose of this study was to find the moderator variables between public library service user satisfaction and public library service user loyalty. According to the study results, the following moderate variables are found: 1) physical accessibility, 2) lack of diversity in library service, 3) car-parking issues, 4) lack of diversity and recency in collections, and 5) lack of convenience in facilities.

• Knowledge Management Research
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• v.9 no.3
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• pp.141-158
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• 2008

This study introduces the construct of group efficacy and combines the construct with the Adaptive Structuration Theory(AST) and user satisfaction framework. Job efficacy and IT efficacy identified as the dimensions of group efficacy are hypothesized to influence faithfulness of appropriation and consensus on appropriation. and then the user satisfaction of knowledge management systems(KMS). Data were collected through a survey of respondents who have the experience of using KMS, and analyzed by using structural equations modelling. The major findings of this study are as follows: First, job efficacy was found to have a positive influence on consensus on appropriation and user satisfaction. Second, IT efficacy was found to have a positive effect on faithfulness of appropriation and consensus on appropriation. Third, faithfulness of appropriation was found to have a positive influence on consensus on appropriation and user satisfaction. Implications of these findings are discussed for researchers and practitioners.