• Journal of the Korean Society for Library and Information Science
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• v.36 no.2
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• pp.265-284
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• 2002

The purposes of this study are research for user's perspective and satisfaction, and analyze degree of difference in user's perspective and satisfaction through electronic library system of National Assembly Library. According to analysis of questionnaire, score of the factors that quantity of information, latest of information, quality of information, system of classification, accuracy of information are higher than average in user's perspective. Also score of the factors that speed of response, quality of information, consistency of information, consistency of retrieval, quantity of information, accuracy of information are higher than average in user's satisfaction. Result of analysis show that latest of information, quantity of information, variety of information, system of classification, accuracy of information are higher gap in user's perspective and satisfaction.

• Journal of the Korean Society for Library and Information Science
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• v.44 no.4
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• pp.61-74
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• 2010

By taking a bottom-up "library in the life of the user" perspective rather than a top-down "user in the life of the library" perspective, this paper uses anecdotal evidence from the past and near present to examine the multiple roles the U.S. public library plays and has played as public space in the everyday lives of its patrons. By harnessing "public sphere" theory discussed in Jurgen Habermas's THE STRUCTURAL TRANSFORMATION OF THE PUBLIC SPHERE (1989) and by the examining the rich literatures on civic life and institutions that have evolved from it, the author argues that Library and Information Studies discourse has to expand its scope to include research and analysis of "library as place" from a user's perspective if it hopes to develop a deeper understanding of what the public library does for means to members of the communities in which they reside.

• Korean Management Science Review
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• v.23 no.2
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• pp.59-74
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• 2006

In this paper, we investigated economic viability of UCA (Ubiquitous Contents Access) technologies from user adoption perspective. UCA technologies are expected to 9et embedded into media and telecom merging services. Embracing new technologies such as UCA technologies, forged through an industry convergence, means opting for a technological innovation that will have technological as well as economic and strategic implications. As such, we adopted user perspective innovation adoption theories to explore key antecedents affecting consumer acceptance of these emerging technologies. Subsequently. using QFD (Quality Function Deployment) method, the impacts of UCA technical functions on user's perceived value enhancements are estimated. The QFD analysis result indicates that the new UCA service technologies could achieve about 42% enhancement on user perceived adoption intention compared to existing digital contents service technologies. The proposed analysis framework and findings suggests significant insights for further research.

• Journal of Information Technology Services
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• v.21 no.1
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• pp.145-161
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• 2022

The data is a key catalyst for the development of the fourth industry, and has been viewed as an essential element of the new industry, with technology convergence such as artificial intelligence, augmented/virtual reality, self-driving and 5 G. This will determine the price and value of the data as the user uses data in which the data is based on the context of the situation, rather than the data itself of the past supplier-centric data. This study began with, what factors will increase the value of data from a user perspective not a supplier perspective The study was limited to public data and users conducted research on users using data, such as analysis or development based on data. The study was designed to gauge the value of data that was not studied in the user's perspective, and was instrumental in raising the value of data in the jurisdiction of supplying and managing data.

• Journal of Korea Game Society
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• v.10 no.1
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• pp.47-56
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• 2010

This study analyzes MMORPG in user's desire perspective and tried to find specific motivation factors. In research result, character has been separated in user character, another user character, boss monster and support character. And character's factor analysis yielded three factors: visual attraction, psychological propensity and competence. The result of the regression analysis about character's motivation factor show that it is significantly different that motivation level and motivation factors from each character. This finding implies that specific motivation factors can serve to make strategy for motivate user's game playing.

• 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.

• The Journal of Information Systems
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• v.23 no.3
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• pp.143-164
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• 2014

This study draws on status quo bias theoretic perspective as a meta-theoretic lens to explain why individuals have resists to adopt smart devices for their tasks. More specifically, we attempted to examine the relationships among user's resist, perceived usefulness and individual productivity in the smart work context. By employing the status quo bias theoretic perspective, we develop and test our research model by using a survey data from 235 individual users. We demonstrate that satisfaction on the current state influence users' resist, and also the users' resist is mediated by perceived usefulness on individual productivity. From the status quo bias view, this study presents an alternative meta-theoretical lens in order to understand individuals' resist in the smartwork context.

• Journal of information and communication convergence engineering
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• v.20 no.1
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• pp.65-72
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• 2022

With the mark of the fourth industrial revolution, the smart factory is evolving into a new future manufacturing plant. As a human-machine-interactive tool, augmented reality (AR) helps workers acquire the proficiency needed in smart factories. The valuable data displayed on the AR device must be delivered intuitively to users. Current AR applications used in smart factories lack user movement calibration, and visual fiducial markers for position correction are detected only nearby. This paper demonstrates a marker-based object detection using perspective projection to adjust augmented content while maintaining the user's original perspective with displacement. A new angle, location, and scaling values for the AR content can be calculated by comparing equivalent marker positions in two images. Two experiments were conducted to verify the implementation of the algorithm and its practicality in the smart factory. The markers were well-detected in both experiments, and the applicability in smart factories was verified by presenting appropriate displacement values for AR contents according to various movements.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.380-386
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• 2020

The mobile application market has grown over the past decade since the advent of smartphones, making it the largest market for electronic device software. As competition intensifies in the mobile application market, the impact of application evaluations on the consumption and usage patterns of users has also significantly increased. Therefore, research has been conducted on measures to evaluate mobile applications, but most of the research has relied on qualitative methods such as expert-centered interviews or surveys. In addition, evaluation measures are being constructed from the service provider's perspective, not from the service user's perspective. However, the possibility of application-specific analyses that minimize the subjectivity of researchers is growing, as large amounts of user review data enable quantitative analysis of actual users' assessment of applications. Therefore, this study presents a methodology that can complement current problems with existing quality assessments for mobile applications by utilizing user review data. To this end, the Topic Modeling technique LDA (Latent Dirichlet allocation) is applied in order to elucidate ways to improve existing evaluation measures from a user's perspective. The study is expected to reduce bias in service assessment due to the subjectivity of service providers and researchers as well as provide a measure of assessment by area of mobile applications from a consumer perspective.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.2
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• pp.203-212
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• 2019

A system Integrator (SI) makes a consortium with multiple providers of hardware and software solutions to sell an information system. The success of information systems (IS) mainly depends on establishing a trustful relationship between SI supplier and client, and delivering high-quality system. However, the determinants of trust and system quality have been investigated mostly from the perspective of s ystem buyers rather than system sellers. This study examines the influence of key variables that SI can handle to improve trust and system quality which finally leads to user satisfaction toward SI. This study adopts resource complementarity, user participation and information sharing as the key variable then builds a research model to explain their relationships to user satisfaction. Respondents are recruited from 251 firms that have built any information system in recent two years in South Korea. Results of partial least square (PLS) modeling analysis show that both resource complementarity and information sharing have positive relationships with trust. Also the relationships between trust, system quality and user satisfaction toward S.I are supported. In addition, the mediating roles of trust and system quality are identified. We discussed some of the key managerial and theoretical implications of the paper and suggested further research directions.