• Journal of Contemporary Eastern Asia
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• v.20 no.2
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• pp.40-62
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• 2021

Are intentions important in deciding the outcome of an action such as sharing misinformation among social media users during the pandemic? What is their role and how far they are important for the very act of fake sharing news? The social media users' actions on the social platform are determined by what they plan to do themselves; however, their motivation has an immense role to play in the dissemination of fake news on social media. The study proposes a conceptual model for understanding how select factors affect fake news sharing motivation and intentions of social media users. The study scrutinizes the relationship between content and context, fear of missing out (FoMO), news verification and news sharing gratification on the motivation and intention of social media users of networked Asian society. Empirical Data were drawn from social media users (N = 243) from India, using an online questionnaire based on prior studies and structural equation modeling (SEM) approach was used to analyze the data collected. Results indicate that news content, news verification, and news sharing gratification have a direct and positive relationship with sharing motivation. On the other hand, news context and content, FoMO and news sharing gratification have a positive significant relationship with sharing intention. Likewise, it was discovered that news verification will decrease sharing intention of the social media users. However, news context, that is the pandemic in the case of the present study and FoMO were not identified as determinant variables for sharing motivation among social media users. The research limitations and further scope were discussed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.13 no.6
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• pp.297-303
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• 2013

This study was conducted to analyze the Influence of mobile commerce characteristics perception on mobile shopping intentions. The result of this study showed that mobile commerce characteristics perceptions have influence on mobile shopping intentions. The study also showed that the Influence of mobile commerce characteristics perception on mobile shopping intentions was different between mobile shopping experience group and none experience group. So the companies which is competing in the mobile commerce industry have to plan the various strategical marketing programs for the mobile devices users.

• Journal of the Korean Society of Clothing and Textiles
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• v.45 no.5
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• pp.907-921
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• 2021

This study aims to predict causal relationships between experience economy, perceived flow, and continuous use intention in the mixed reality (MR) environment. A virtual fitting mirror with two modes (i.e., avatar and self-image) was selected for this study. A total of 200 samples was obtained in two sample frames: virtual fitting users in avatar mode (group 1, n = 119) and self-image mode (group 2, n = 81). The results showed that the experience economy consists of entertainment, education, esthetic, and escapism. The entertainment and esthetic experiences had positive effects on perceived flow, leading to continuous use intentions. For avatar mode, the entertainment and esthetic experiences had positive effects on continuous use intentions through the mediating effect of flow; and the education experience had a positive effect on the continuous intentions to use the MR technology. For self-image mode, the flow mediated the effect of entertainment on continuous use intentions, whereas education and escapism directly affected the intention to use the MR technology. The paper also discusses the theoretical and managerial implications of using MR technologies in fashion retailing.

• Journal of Distribution Science
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• v.21 no.10
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• pp.109-121
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• 2023

Purpose: This study aims to verify whether avatars that embody different brand concepts offer different experiences to users. Furthermore, this study explores the relationship between user identification with avatars and their actual brand purchase intentions. Research design, data and methodology: The research design employed a between-subjects approach, with two independent variables: brand concept and avatar. The measured dependent variables were brand experience in extended reality (XR) and purchase intention. Additionally, brand attitude served as a control variable. Results: First, in virtual brand spaces with symbolic benefits, ideal avatars were found to elicit higher levels of brand experience than actual avatars. Specifically, participants reported elevated levels of entertainment and relational assembly experiences in symbolic brand spaces. Second, this research reveals that the relationship between users' identification with avatars and their intention to make actual brand purchases is mediated by brand experience in XR. Conclusions: The findings suggest that ideal avatars evoke higher levels of brand experience within symbolic brand spaces, particularly in entertainment, relational connection, and a sense of community. Furthermore, this study establishes the role of brand experience in XR as a mediator between avatar identification and purchase intentions.

• Korean Institute of Interior Design Journal
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• v.18 no.5
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• pp.80-88
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• 2009

The relationship between architects and users has been multifarioiusly changed through architectural history. From the viewpoint of using a building, users who experience and interpret the building are as important as architects who design it. In the past, architects are not interested in the role of users. Modern architects only emphasized the concepts of users based on efficiency, and therefore users had the passive role following the design intentions in the space architects had created. However, since the end of modern movement, diverse definitions of users have been attempted. Especially the aesthetics of reception reilluminates the role of users neglected in modern movement. Therefore the one-way relationship between architects-buildings are changing into the interactive relationship between architects-buildings-users, and it results from the fact that users have the ability to reinterpret and create architectural space as well. Users have more creative and positive role in architectural space making and architects, too, reflect these trend in their architecture.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.127-136
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• 2019

In the social media, information that users share with service providers can be divided into personal identification information such as gender and age and privacy-related information such as photos and comments. However, previous works on IS and service management have shed relatively little light on the difference of information-sharing decisions depending on the type of information. This study examines information-sharing decisions by separating the two types of information. A structural equation modeling method is used to test the research model based on a sample of 350 Facebook in South Korea. Analysis results show that self-expression, trust, and perceived security had a significant positive effect on both user's intentions to give personal identification information and their intentions to give privacy-related information. However, privacy concerns negatively affected their intentions to give personal identification and intention to give privacy-related information. The analysis results confirm that there was no difference between decision-making processes about sharing personal identification information and ones about sharing privacy-related information.

• Journal of Korean Library and Information Science Society
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• v.35 no.4
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• pp.129-147
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• 2004

This study is to investigate extensively the negative word-of-mouth responses and intentions of the public library users. It selects and analyzes empirically some of the antecedents of the complaining behaviors including severity of dissatisfaction attitude toward complaining, difficulty of the complaining, likelihood of success, product/service importance, external attributions, loyalty, and former experience of complaining. Final data through questionaries are obtained from 497 unsatisfied adult public library users in Taegu Metropolitan City, 443 of them analysed with SPSS 12.0 for Windows.

• Journal of the Korean Society for information Management
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• v.22 no.4 s.58
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• pp.61-78
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• 2005

This study investigates the influences of the service qualify of public libraries, including printed publications, internet and electronic materials, culture programs and. service, library environment and facilities, and library staff, on the general satisfaction of the users, complaining intentions, and loyalty including reuse intentions. It develops a library user satisfaction model and testifies it through path analysis using questionnaires from 443 public library users in Daegu Metropolitan City area. This study shows that service qualities of printed publications, culture programs and service, library environment and facilities, and library staff Influence significantly on the general satisfaction of the users, and that service quality of library environment and facilities is the major variable which influences satisfaction and loyalty of the public library.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.3
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• pp.560-576
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• 2023

Drawing on gamification affordance theory, this study examines the relationships among key affordances of avatar fashion styling, perceived enjoyment, and engagement behavior intentions-defined as the intention to share content on avatars in the metaverse platform-and the moderating role of metaverse familiarity. Based on survey data collected from 198 Korean ZEPETO users with avatar fashion styling experience, the hereby proposed research model was tested with structural equation modeling. The results demonstrated that self-expression and competition positively influenced perceived enjoyment, which subsequently affected customers' engagement behavior intention. Furthermore, metaverse familiarity as a moderating effect intensified the positive association between affordances and perceived enjoyment as well as between perceived enjoyment and engagement behavior intentions. The individual interaction effect of each affordance dimension on perceived enjoyment was different, with self-expression having a greater influence on enjoyment among the high-familiarity group and competition having a greater influence on enjoyment among the low-familiarity group. Considering that users with low metaverse familiarity might have higher needs for social interaction for adaptation, competition, being more socially triggering, might have affected these users more crucially.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.21-41
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• 2010

This paper proposes a system that can serve users with appropriate search results through real time filtering, and implemented adaptive user profiling based personalized information retrieval system(PIRS) using users' implicit feedbacks in order to deal with the problem of existing search systems such as Google or MSN that does not satisfy various user' personal search needs. One of the reasons that existing search systems hard to satisfy various user' personal needs is that it is not easy to recognize users' search intentions because of the uncertainty of search intentions. The uncertainty of search intentions means that users may want to different search results using the same query. For example, when a user inputs "java" query, the user may want to be retrieved "java" results as a computer programming language, a coffee of java, or a island of Indonesia. In other words, this uncertainty is due to ambiguity of search queries. Moreover, if the number of the used words for a query is fewer, this uncertainty will be more increased. Real-time filtering for search results returns only those results that belong to user-selected domain for a given query. Although it looks similar to a general directory search, it is different in that the search is executed for all web documents rather than sites, and each document in the search results is classified into the given domain in real time. By applying information filtering using real time directory classifying technology for search results to personalization, the number of delivering results to users is effectively decreased, and the satisfaction for the results is improved. In this paper, a user preference profile has a hierarchical structure, and consists of domains, used queries, and selected documents. Because the hierarchy structure of user preference profile can apply the context when users perfomed search, the structure is able to deal with the uncertainty of user intentions, when search is carried out, the intention may differ according to the context such as time or place for the same query. Furthermore, this structure is able to more effectively track web documents search behaviors of a user for each domain, and timely recognize the changes of user intentions. An IP address of each device was used to identify each user, and the user preference profile is continuously updated based on the observed user behaviors for search results. Also, we measured user satisfaction for search results by observing the user behaviors for the selected search result. Our proposed system automatically recognizes user preferences by using implicit feedbacks from users such as staying time on the selected search result and the exit condition from the page, and dynamically updates their preferences. Whenever search is performed by a user, our system finds the user preference profile for the given IP address, and if the file is not exist then a new user preference profile is created in the server, otherwise the file is updated with the transmitted information. If the file is not exist in the server, the system provides Google' results to users, and the reflection value is increased/decreased whenever user search. We carried out some experiments to evaluate the performance of adaptive user preference profile technique and real time filtering, and the results are satisfactory. According to our experimental results, participants are satisfied with average 4.7 documents in the top 10 search list by using adaptive user preference profile technique with real time filtering, and this result shows that our method outperforms Google's by 23.2%.