• Journal of Digital Convergence
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• v.14 no.12
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• pp.423-431
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• 2016

Customizing system is known as an important factor which affects not only purchase, loyalty and immersion of the user. In this study, we explore the concept of character-customizing system in the early stage of a game; on the basis of it, we compare cases by analyzing and schematizing certain types of systems which many games stick to. Customizing system types are divided into a basic case and a differentiated convergence case; based on it, they are classified into four types: Realistic, Creation, Individual, Additional; plus, another customizing system case out of games is also analyzed. To improve customer loyalty, a system like a differentiated case that attracts user participation is essential. Through a variety of character customization convergence cases shown in this study, we expect them to be used as game production guides. By enlarging the range of the study, we expect further studies to cover more cases.

• Management & Information Systems Review
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• v.31 no.4
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• pp.517-538
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• 2012

The purpose of this study is to explore key factors that influence the intention of continuous use of social network service users in the online environment. Since the intention of continuous use is one of the most critical factors in the profit model of social network service, the findings of this study should be useful to the SNS firms. This study use the personal and network aspects as major behavior intention of that influence user's attachment to a social network service. The results are summarized as follows. First, use motivation in self-determination have effects on emotional attachment, information sharing intention, loyalty. The world's most leading social network services now, the social network service has developed very fast as a kind of new online service. During the past few years, the number of Twitter's registered users around the world has already exceeded 170 million. Not only have the United Sates, many countries around the world have also been hit by the wave of SNS, including those in Korea. Since the intention of continuous use is one of the most critical factors in the profit model of social network service, the findings of this study should be useful to the SNS firms. We need to continue the study of social network.

• The Journal of Society for e-Business Studies
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• v.23 no.4
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• pp.41-62
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• 2018

Despite the rapid growth of the mobile shopping market, major market participants are continuing to suffer operating losses due to severe competition. To solve this problem, the mobile shopping market requires research to improve customer satisfaction and customer loyalty rather than excessive competition. However, the existing studies have limits to reflect the direct needs of customers because they extract the factors on the basis of the Technology Acceptance Model and the literature study. In this study, to reflect the direct requirements of users of mobile shopping Apps, we derived concretely and various factors influencing customer satisfaction through a topic analysis using user reviews. And then we assessed the importance of derived factors to customer satisfaction and analyzed the effects of customer satisfaction on customer complaints and customer loyalty on a structural equation model based on the American customer satisfaction index. We expect that our framework linking a topic analysis and a structural equation model is to be applicable to studies on the customer satisfaction of other mobile services.

• Journal of the Korean Society for information Management
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• v.30 no.2
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• pp.101-118
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• 2013

The purpose of this study is to reveal their satisfaction procedures from users of information service expectation-disconfirmation theory. To achieve this goal, we use the NDSLQual model to measure the quality of NDSL service. The results were as follows: First, while the expectation has a negative effect on the expectation-disconfirmation, it has a positive effect on the perceived performance. And perceived performance has a positive effect on the expectation-disconfirmation. Second, the expectation-disconfirmation has a positive effect on the overall satisfaction and loyalty. However the explanatory adequacy of the regression model is very low. Third, perceived performance has a positive effect on the overall satisfaction and loyalty. In order to increase the overall satisfaction and loyalty for NDSL, it is necessary to seek ways to improve the perceived performance and lower the expectation-disconfirmation.

• The KIPS Transactions:PartA
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• v.12A no.7 s.97
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• pp.597-604
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• 2005

The paper describes implementation of smartphone edition based on embedded Linux, which is composed of smartphone middleware and basic applications. Existing smartphone platforms entails loyalty expenses and has difficulties on customization due to the closed policy of their source codes. Although GPE - based on embedded Linux has solved the loyalty issues, other problems are remained unsolved. Since GPE has been designed for relatively large PDA-level devices, applications are generally inoperable under the condition of small LCD size and input methods without touch-screen; the condition is typical limitations of the smartphones. In the implemented smartphone edition of the paper no loyalty is required, because the smartphone edition is based on embedded Linux. It also supports keypad-only operating functionality such as moving between folders or running applications with operations. Besides, it provides more user-friendly environment to use the smartphone editionscreen interfaces and indicatorsto those of the regular cellular phones.

• 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%.