• Journal of the Korea Society of Computer and Information
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• v.7 no.2
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• pp.179-186
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• 2002

In the web, the Personalization considering individual's habits and tastes is attracting the internet service companies and internet users in order to realize a custom-oriented e-CRM. that is, the Personalization is leaping the new competitive strategy of e-business. In this thesis, first I studies on the Personalization which is the base of e-CRM emphasized the custom relationship in the internet. second, I researched the ways of marketing strategy to realize the Personalization using the e-CRM as well as the problems of Personalization based on the current one-to-one marketing. finally, I showed the new Personalization adopting permission marketing of Seth Godin the vice-chairman of marketing department in yahoo.com for the better e-CRM.

• International Journal of Contents
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• v.2 no.2
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• pp.25-28
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• 2006

In this paper, we present personalization that of important research fields recently. As the interest of individual becomes more diverse, more and more digital contents become personalized. Personalization makes users more satisfied by helping them to use the contents effectively. We discuss the type and the substantial interface of personalization that provides satisfaction to user.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.1 no.3
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• pp.53-60
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• 2008

Recently, the application of internet services has been realized by effort for an offer of various informations and personalization services. So in this paper, we propose the web service application model for service integration and personalization based on internet multimedia subsystems. For this services integration and personalization, we need to establish a policy of supporting personalization service. And It's required to analyze information of service users and to extract the components for the personalization services. With the process, It will provide the efficient integration between the exist services and the external services and It can be realized detail services for personal with construction of new services model.

• Journal of Information Technology Applications and Management
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• v.17 no.4
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• pp.57-82
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• 2010

Many companies today use information systems to maintain competitive advantage and to give immediate responses to customer requests. Over time, however, many of these companies failed to make the most of such information systems because the users stopped utilizing the system. While many reasons offer explanations to the phenomenon, this study analyzes how usage intention of information system can be enhanced by changing the environment and usefulness of the system from the user's perspective. Active and wide-ranging researches using the Technology Acceptance Model (TAM) have been carried out on an individual's tendency to using new technology. But, many of the studies remain focused on improving user intention by enhancing the ease of use and usefulness of the system under PC applications or Enterprise applications. The personalized intranet system is not only bringing about sweeping changes to a company's information systems environment but also providing users with freedom to design their own working environment, personalization, to Corporate Information Systems (CIS). Results from empirical tests on intranet systems verify that through personalization, a more voluntary information system environment can be created and that by increasing the ease of use and usefulness of the system, users can become more favorable to accepting new technologies and ultimately result in improved usage intention. This study suggests personalization variables and model for implementing a voluntary CIS for information system developers.

• Asia pacific journal of information systems
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• v.17 no.1
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• pp.123-145
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• 2007

There are flourishing studies in the acceptance or usage of information systems literature. Most of them have taken the pro - acceptance view. Undesirably, information technologies often provoke users' reactance or resistance. This paper explores one of the negative reactions -psychological reactance. The present paper studies the effects of the users' perception of threatened freedom and personalization degree on intention to use recommendation services. High personalization can be a major motivation for users to accept recommendation systems. However recommendation services are a two-edged sword, which not only provides users the efficiency of decision making but also poses threats to free choice. When people consider that their freedom is reduced or threatened by others, they experience the motivational state to restore the freedom. This motivational state must be considered in understanding usage of information systems, especially personalized services which are designed for persuasion or compliance. This paper empirically investigates the effect of personalization and the psychological reactance on the intention to use information systems in the personalized recommendation context. Users' perception of personalization increases the usefulness of recommendation service while their perception of threat to freedom reduces the intention to use personalized recommendation service. Findings and implications are discussed.

• Fashion & Textile Research Journal
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• v.9 no.3
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• pp.303-311
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• 2007

The apparel market is extremely competitive and thus apparel manufacturers should try to maximize consumer satisfaction with cost-efficient but consumer-oriented strategies. Personalized strategies considering each consumer's characteristics have to be developed. The purpose of this study is to investigate the effects of consumers' characteristics on personalization strategies of apparel brands. Investigating personalization based on consumers' values and demographic characteristics will allow apparel manufacturers to attract target consumers. A survey method was used for the empirical study. Questionnaires from 420 respondents were analyzed using factor analysis, cluster, t-test, and ANOVA. The results indicated a significant influence of consumer values on customer service-related aspects of personalization. Female consumers demanded product- and information-oriented factors of personalization. Age, residential area, and clothing expense also had significant influence on the need for personalization of apparel shopping.

• Journal of Korea Society of Digital Industry and Information Management
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• v.12 no.4
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• pp.135-143
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• 2016

The purpose of this study is to investigate the user's attitude and usage of smart banking application in terms of user's benefits and personalization. While the prior researches on mobile banking adoption focus on the characteristics of service itself, this paper intends to investigate the smart banking application in terms of user's benefits, which are personal value consumers attach to the product or service attributes. Based on prior studies functional benefits, social benefits, experiential benefits, and personalization are identified as affecting factors of the user's attitude and usage of smart banking application. According to the results of multiple regression analysis, all benefit factors(functional benefit, experimental benefit, social benefit) and personalization were found to be significantly related to the user's attitude. Users' attitude on smart banking was found to be significantly related to the real usage as well. This paper has value in that it investigates the attitude and usage of smart banking in terms of benefits.

• The Journal of Information Systems
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• v.20 no.4
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• pp.145-162
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• 2011

Recently Micro-blog service is used quickly in our life with dissemination of Smart-phone. This study performed based on a view that there is a difference of user's intention to reuse Web-blogs & Micro-blogs. This study also based on the existing motive theory for using which considers five factors-information, entertainment, interaction, personalization, and convenience. The AMOS structure equation used for the analysis of users' revisit intention. The results of the study shows that Micro-blogs are influenced by entertainment, personalization, and convenience. On the other hand, Web-blogs are influenced by entertainment, and personalization.

• Asia Marketing Journal
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• v.22 no.3
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• pp.87-105
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• 2020

With the development of Information Technology, customers require promptly higher quality products and services. Companies try to make newly digital marketing strategies, but there are no empirical researches on them. This article empirically presents a new perspective that companies can shape the customer decision journey ahead by coordinating customer experience. In this article, based on Elaborated Likelihood Model (ELM) theory, customer experience consists of the emotional or cognitive experience. We surveyed about 200 subjects (N = 217) in their 20s and 30s based on the International Music Industry Association's Music Listening 2019 report, then analyzed four different models (before personalization-cognitive experience, before personalization-emotional experience, after personalization- cognitive experience, after personalization-emotional experience) by JASP and R Studio. We conducted Structural Equation Model (SEM) and paired t-test. Personalization factors are about recommendation systems in Spotify. The results of survey represent that companies can shape the Customer Decision Journey (CDJ) ahead especially through enhance cognitive experience. It empirically proves Elaborated Likelihood Model (ELM). The conclusion can be drawn that 'pulling' customer experience can be a new marketing strategies in the digital era.

• Journal of Korea Multimedia Society
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• v.21 no.3
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• pp.369-381
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• 2018

Nowadays a personalization algorithm is gaining huge attention. It gives users selective information which is helpful and interesting in a deluge of information based on their past behavior on the internet. However there is also a fatal side effect that the user can only get restricted information on restricted topics selected by the algorithm. Basically, the personalization algorithm makes users have a narrower perspective and even stronger bias because users have less chances to get views of opponent. Eli Pariser called this problem the 'filter bubble' in his book. It is important to understand exactly what a filter bubble is to solve the problem. Therefore, this paper shows how much Google's personalized search algorithm influences search result through an experiment with deep neural networks acting like users. At the beginning of the experiment, two Google accounts are newly created, not to be influenced by the Google's personalized search algorithm. Then the two pure accounts get politically biased by two methods. We periodically calculate the numerical score depending on the character of links and it shows how biased the account is. In conclusion, this paper shows the formation process of filter bubble by a personalization algorithm through the experiment.