• The Journal of Society for e-Business Studies
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• v.16 no.4
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• pp.335-357
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• 2011

In this paper, we report the empirical study results theorizing IPTV user's loyalty formation process. Considering the convergent characteristics ofinnovative media and telecommunication, we employed innovation adoption and diffusion as our theoretical framework for research model development. As the purpose of this research includes verification of detail attributes of IPTV service, we formulated structural model which treats relative advantage as the second order factor, of which incorporates the seven detail attributes as the first order factors. Then, using the data collected from 250 Korean IPTV subscribers, the model is validated and relevant attributes are identified through PLS analysis. The results provide insights for future research on the adoption and diffusion of new digital convergent high-tech services.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.1
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• pp.479-497
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• 2022

The present study aimed to examine how the quality of cultural program services, 'Libraries on the Road' influences users' satisfaction, quality of life, and loyalty to the cultural program services. Online surveys were conducted with users who had participated in 'Library on the Road' of public libraries, and collected 138 valid data. The study verified the hypotheses through structural equation model analysis. Findings of the study indicated that the higher the service quality of 'Library on the Road', the higher users' satisfaction. Users' satisfaction had positive effects on users' quality of life and loyalty to the services. The study extended the literature for the association between the service quality of a particular cultural program that public libraries had provided, users' satisfaction, quality of life, and loyalty to the cultural program.

• IEMEK Journal of Embedded Systems and Applications
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• v.3 no.2
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• pp.91-101
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• 2008

For a friendly interaction between human and robot, emotional interchange has recently been more important. So many researchers who are investigating the emotion generation model tried to naturalize the robot's emotional state and to improve the usability of the model for the designer of the robot. And also the various emotion generation of the robot is needed to increase the believability of the robot. So in this paper we used the hybrid emotion generation architecture, and defined the generalized context input of emotion generation model for the designer to easily implement it to the robot. And we developed the personality and loyalty model based on the psychology for various emotion generation. Robot's personality is implemented with the emotional stability from Big-Five, and loyalty is made of familiarity generation, expression, and learning procedure which are based on the human-human social relationship such as balance theory and social exchange theory. We verify this emotion generation model by implementing it to the 'user calling and scheduling' scenario.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.1
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• pp.143-165
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• 2017

This study aims to examine the effect of students' library after-school activities on the students and the school library from a marketing perspective and to recommend marketing strategies for school libraries. For the purpose, a questionnaire survey was conducted at nine middle schools in Seoul and Gyeonggi Province, and a series of statistical analyses with the survey data was performed in order for hypothesis testing. The results suggest that the effects of the school library marketing including customer loyalty were influenced by the student assistants' activities such as internal and experiential marketing factors. Furthermore, the activities of student library assistants can be linked to word-of-mouth marketing. Based on the results, ways to use student assistants in school library marketing are suggested.

• Journal of KIISE:Software and Applications
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• v.31 no.2
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• pp.153-163
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• 2004

Many recommender systems are based on Content-based Filtering and Social Filtering Both methods have their own advantages and disadvantages, and they complement each other rather than compete. So incorporating of both methods can make the better system and combination technique controls the quality of the entire recommender system. In this paper, we presented each user has his own tendency to decide which is the better recommendation for himself among the various recommendation results, and suggested the Personalized combination technique. To represent user tendency, we defined and used loyalty, diversity and pioneerity and showed by experiments that our combination technique is useful. This combination technique improved the average coverage 23% and for the ceiling 40%.

• The Journal of Information Systems
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• v.28 no.1
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• pp.17-39
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• 2019

Purpose The purpose of the present study is to analyze the factors influencing the intention to use direct bank continuously from the perspective of service rather than technology. Hygiene factors including economic benefits, privacy, and unverified risks, and convenience of service as a motivator were considered as user's satisfaction. A research model integrating the relationships among user's satisfaction, its determinants, social influence, and continuous intention to use direct banks was proposed. Design/methodology/approach Structural equation modelling for validating the research model was employed. 253 valid data were collected from users of direct bank service in South Korea and China, and used to test six hypotheses. Findings User's satisfaction and social influence were determinants of continuous use intention of direct bank. Convenience of service as a motivator has a significant influence on service satisfaction, while economic benefits, privacy, and unverified risks as hygiene factors have no significant influence on the continuous intention. Managers of direct banks need to implement service differentiation strategies to gain customers' loyalty. Also they seek to find the determinants of social influence. The present study confirmed that there is a big difference between Korea and China in terms of factors affecting the continuous intention to use direct bank.

• Journal of Information Science Theory and Practice
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• v.11 no.4
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• pp.90-108
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• 2023

The purpose of this study is to investigate how uses and gratifications motivations increase social media stickiness, with a special focus on media engagement as a key mediator. Data were gathered via a survey questionnaire from Bangladeshi Z Generation social media users, which was quantitative in nature. For the analysis of 258 survey samples, structural equation modeling methodology was used. The results show that social media engagement and social media stickiness are positively impacted by uses and gratifications motivations such as social interaction, information, convenience, and entertainment. The study also found evidence of a relationship between uses and gratification motivations and social media stickiness, which is also mediated by emotional attachment. Understanding the motivations and gratifications sought by Z Generation users on social media platforms can help design strategies to enhance engagement and loyalty, ultimately leading to improved user retention and platform success. By identifying and addressing the specific needs and desires of the Z Generation, social media platforms can tailor their features, content, and user experiences to foster a stronger sense of connection and satisfaction, resulting in increased user engagement and prolonged usage.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.3
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• pp.189-199
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• 2009

The amount of information on the Web is explosively growing as the Internet gains in popularity. However, only a small portion of the information on the Web is truly relevant or useful to the user. Thus, offering suitable information according to user demand is an important subject in information retrieval. In e-commerce, the recommender system is essential to revitalize commercial transactions, raise user satisfaction and loyalty towards the information provider. The existing recommender systems are mostly based on user data collected at servers, so user data are dispersed over several servers. Therefore, web servers that lack sufficient user behavior data cannot easily infer user preferences. Also, if the user visits the server infrequently, it may be hard to reflect the dynamically changing user's interest. This paper proposes a novel personalization system analyzing the user preference based on web documents that are accessed by the user on a user device. The system also identifies non-content blocks appearing repeatedly in the dynamically generated web documents, and adds weight to the keywords extracted from the hyperlink sentence selected by the user. Therefore, the system establishes at an early stage recommendation strategies for the web server that has little user data. Also, user profiles are generated rapidly and more accurately by identifying the information blocks. In order to evaluate the proposed system, this study collected web data and purchase history from users who have current purchase activity. Then, we computed the similarity between purchase data and the user profile. We confirm the accuracy of the generated user profile since the web page containing the purchased item has higher correlation than other item pages.

• Culinary science and hospitality research
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• v.19 no.5
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• pp.206-224
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• 2013

The purpose of this study was to examine the formation of customer's repeated use that is real long-term commitment in franchise/chain coffee shops. 457 effective samples were analyzed using PASW 18.0 and AMOS 18.0. The results of the analysis of the relationships between user experience, customer satisfaction, customer commitment and repeated use are as follows. First, it was presented that atmosphere, price fairness and coffee product quality had a positive impact on customer satisfaction. Second, customer satisfaction had a positive impact on customer commitment and repeated use. Finally, there was the mediating effect of continuous commitment between customer satisfaction and repeated use. Based on the results of the above analysis, the managerial implications for increasing repeated use of coffee shops are as follows. First, the strategy for enhancing performance of user experience is to try to improve atmosphere(facilities, ambient/lighting), price fairness, coffee product quality(taste, flavor, temperature). Second, the strategy for forming repeated use is to enhance customer commitment(affective commitment, continuous/normative commitment).

• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.404-414
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• 2010

The primary purpose of this paper is to identify the influencing factors on the post acceptance behavior of user in internet banking. For this purpose, a research model and hypotheses are developed based on the relevant literature reviews. Data have been collected from 248 users who have used internet banking and the research hypotheses were tested by covariance structural model analysis. The results of this empirical study are summarized as follows. First, security, confirmation, and perceived ease of use have positive influence upon user's perceived usefulness. Second, security, economy efficiency, and confirmation have positive influence upon user's satisfaction. Third, loyalty incentives have positive influence upon continuance intention. Lastly, user's perceived usefulness have positive effect on the satisfaction, and user's perceived usefulness and satisfaction positively related to continuance intention in internet banking. The findings have significant implications for internet banking service providers.