• Journal of Information Technology Services
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• v.20 no.5
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• pp.189-207
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• 2021

Voice interaction combined with artificial intelligence is poised to revolutionize human-computer interactions with the advent of virtual assistants. This paper is analyzing interactive elements of AI-based voice recognition services such as sympathy, assurance, intimacy, and trust on intention to use. The questionnaire was carried out for 284 smartphone/smart TV users in Korea. The collected data was analyzed by structural equation model analysis and bootstrapping. The key results are as follows. First, AI-based voice recognition service characteristics such as sympathy, assurance, intimacy, and trust have positive effects on interactivity with the AI-based voice recognition service. Second, the interactivity with the AI-based voice recognition service has positive effects on intention to use. Third, AI-based voice recognition service characteristics such as interactional enjoyment and intimacy have directly positive effects on intention to use. Fourth, AI-based voice recognition service characteristics such as sympathy, assurance, intimacy and trust have indirectly positive effects on intention to use the AI-based voice recognition service by mediating the effect of the interactivity with the AI-based voice recognition service. It is meaningful to investigate factors affecting the interactivity and intention to use voice recognition assistants. It has practical and academic implications.

• The Journal of Information Systems
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• v.31 no.2
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• pp.63-88
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• 2022

Purpose The purpose of this study is to empirically analyze the factors affecting the intention to use cloud computing in the smart work environment. This study is meaningful in that it examines the characteristics of smart work and the fit of cloud computing characteristics, and it is a study that reveals the factors affecting the intention to use cloud computing by applying the integrated model of TTF and TAM. Design/methodology/approach In order to understand the factors affecting the intention to use cloud computing in the smart work environment, a research model that integrates TTF and TAM with the hypothesis was proposed. In order to verify the research hypothesis, this study conducted a survey on individuals with experience in smart work and cloud computing. And with the data 280 collected in the survey, path analysis was performed using the PLS structural equation. Findings As a result, it was found that task characteristics and technology characteristics had a positive (+) effect on task-skill fit, and task-skill fit had a positive (+) effect on perceived ease of use and usefulness. Also, task-skill fit, perceived ease of use, and perceived usefulness were found to have a positive (+) effect on intention to use.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2000.11b
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• pp.137-142
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• 2000

The objectives of this study were to be properly understood the residential function and its relations to the mixed functions of the mixed-use buildings and further to provide useful information in future basic planning of mixed-use buildings. 1) The satisfaction rates of the public space and the supplementary facilities were high in general, but the satisfactory rate of the convenience facilities was low. 2) The household characteristics were analyzed as variables that differences among satisfaction rates. However, they were not found to be influential factors in determining residential satisfaction. 3) The residential characteristics were analyzed as variables that differences among satisfaction rates. As a result, the floor and direction of the residence were more meaningful variables than the scale of the residence.

• Journal of Korean Library and Information Science Society
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• v.9
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• pp.213-240
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• 1982

Today, one of the major pressures that libraries have been facing is the rapid growth of publications. Due to the rapid growth of publications, libraries have been faced the shortage of stack as well as quality deterioration of library collections. Naturally, these disa n.0, ppointed the users and made the present library activities weak and inadequate. One of the desirable actions in remedying these problems is to weed library collections properly and regularly. Weeding methods used in libraries are derived from the judgement by subject specialists, from the examining the imprint date and the past use patterns of a volume. Among these methods, the past use patterns are highly predictive of the future use, and can be used to create meaningful weeding criteria. Since the libraries in Korea have emphasized on numbers of library collection in the past, the libraries have neglected weeding library collections. Now, we must turn our concern toward the weeding library collections, and the attitude of the library services to the users must change from passive to active.

• Proceedings of the KIEE Conference
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• 1998.11b
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• pp.654-656
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• 1998

This paper presents an optimal identification method of nonlinear and complex system that is based on fuzzy-neural network(FNN). The FNN used simplified inference as fuzzy inference method and Error Back Propagation Algorithm as learning rule. And we use a HCM Algorithm to find initial parameters of membership function. And then to obtain optimal parameters, we use the genetic algorithm. Genetic algorithm is a random search algorithm which can find the global optimum without converging to local optimum. The parameters such as membership functions, learning rates and momentum coefficients are easily adjusted using the genetic algorithms. Also, the performance index with weighted value is introduced to achieve a meaningful balance between approximation and generalization abilities of the model. To evaluate the performance of the FNN, we use the time series data for 9as furnace and the sewage treatment process.

• The Journal of Information Systems
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• v.21 no.2
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• pp.73-96
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• 2012

With emergence of smart technologies(e.g., smartphones), Location-Based Services(LBS) are expected to provide more enhanced values utilizing consumers' personal information than other smart services. However, in contrast to existing smartphone applications, LBS could raised severe consumer's privacy concerns because of rapidly changing information sensitive to consumers. In this context, the purpose of this study is to explore relationships among privacy concerns reduction, trust and intention to use LBS by examining the effect of precedence factors(social presence, reputation, mobile literacy, ability of information control) of privacy concern reduction. In addition, the study investigates the role of personal innovation as a moderating effect between privacy concern reduction and intention to use LBS. The results showed that the proposed precedence factors of privacy concerns with a exception of Mobile Literacy had a positive impact on privacy concerns reduction that then positively affected trust and intention to use LBS. In addition, the relationship between trust and intention to use LBS was significantly supported. Finally, personal innovation as a moderating effect significantly influenced the relationship between privacy concern reduction and intention to use LBS. This study is expected to be a reference for a subsequent study about the spread of LBS application of smartphone. Also, the finding of this study is meaningful for helping service direction to firms providing LBS.

• Journal of the Korean Society for information Management
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• v.39 no.2
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• pp.299-324
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• 2022

In this study, in order to explore the contextual elements of book use that were overlooked in the existing book recommender system research, for 15 avid readers with various book search backgrounds, the contents generated in 6 book search situations were collected through the think-aloud protocol. By using content analysis from the collected book use contents, not only the internal and external appeal factors affecting book use, based on the 'appeal factor', the theoretical concept of the readers' advisory service, but also information sources and search methods regarding book use were identified and categorized. The results of this study can be used to extract and reflect meaningful attribute data in the future book recommender system design process.

• Management & Information Systems Review
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• v.32 no.5
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• pp.19-43
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• 2013

The diffusion of new technology has traditionally focused on the adoption perspective. Researchers refer this use-diffusion paradigm to behaviors of use after adoption. This study intends to analyse the influential factors of use-diffusion and continual use of website and applications in medical service. To achieve this a use-diffusion model as a conceptual frame work is suggested. Medical information quality, personal innovativeness and subjective norm are assumed as antecedent variables medical website and application's rate of use, variety of use, and continued use intention as result variables. According to the empirical study results medical information quality, web based application usability, personal innovativeness, and subjective norm have a meaningful influence on medical service consumer's use-diffusion patterns. Also pattern of use influences the continued use intention. This study provides an opportunity to understand medical service consumer's behavior after website and application use adoption and suggests further directions for establishing medical service online marketing strategy by determining influential factors of use-diffusion and continued use of medical online marketing tools.

• Journal of Preventive Medicine and Public Health
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• v.21 no.1 s.23
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• pp.1-4
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• 1988

The current use of leading causes of death is an outmoded, misleading counterproductive measure of importance of disease. The 'new' concept of productive years of life discounted to the future and combined with morbidity, disability, and direct cost measures will give a much more meaningful, useful measure of the magnitude of disease problems in Korea. I am looking forward to seeing refinements and improvements on this technique carried out by some readers of this paper.

• Proceedings of the Korea Concrete Institute Conference
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• 1991.04a
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• pp.121-128
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• 1991

The changes of stuctural systems in constructing prestressed concrete bridges are investigated according to several construction methods. Based on these investigation, structurally meaningful works are summarized and defined as "Construction Commands". And time-dependent characteristics of concrete and prestressing steels are fully considered. For the static and/or dynamic analysis of three dimensional prestressed concrete bridges at ant construction stages, it is propoesd to use "Comstruction Commands" directly as user's input data. A example of cable syayed bridges is presented by the computer program developed by the present simulation method.