• Journal of Digital Convergence
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• v.18 no.8
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• pp.201-215
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• 2020

We conducted the analysis using the data of the '2019 Korean Middle and Elderly Technology Acceptance Survey' to verify the comprehensive senior technology acceptance model. In this study, we examined the significant effect the relationship between behavioral intention to use the diital health devices and perceived usefulness, perceived ease of use, gerontechnology self-efficacy, gerontechnology anxiety, facilitating conditions, attitude to life and satisfaction through the structural equation. The results of the research model are as follows. First, the usefulness and ease of use had significant effects on intention to use. Second, the self-efficacy had significant effects on the intention to use. But they had negative effect. Third, perceived usefulness, self-efficacy and anxiety had significant effects on ease of use. Lastly, self-efficacy, facilitating conditions, attitude to life and satisfaction had significant effects on perceived usefulness. These findings highlight that verified the comprehensive senior technology acceptance model in Korea.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.619-622
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• 2008

뉴스 분류 체계는 각각의 기사에 정치, 경제, 사회 등 가장 적합한 주제별로 분류하는 것으로 언론사별 분류 체계는 통일성이 없이 전혀 다르게 구성되어 사용하고 있다. 이로 인해 방대한 콘텐트를 통합하는데 많은 어려움이 있으며, 그만큼 시스템과 인력에 대해 중복 투자가 되고 있다. 이런 문제점을 개선하기 위해 국제 표준인 NewsML에 기반한 뉴스 분류에 대해 제안한다. NewsML은 XML 기반의 유연성과 확장성이 있는 구조적인 표준 형식으로 다양한 데이터 표현이 가능하여 자동 문서 범주화에 필요한 중요한 자질 선택이 가능하다. 본 논문에서는 NewsML 형식으로 되어 있는 뉴스와 그렇지 않은 뉴스를 구분하여 자동 분류에 대한 비교 실험을 한다. NewsML의 구조화된 정보를 활용한 실험이 뉴스의 제목과 본문만으로 실험한 결과보다 좋은 성능을 보여 주었으며, 그 중에서 자질 공간이 아주 큰 경우에 유용하고 문서 분류에 효과가 뛰어난 지지 벡터 기계 모델이 가장 좋은 성능을 보였다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.7 no.2
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• pp.63-76
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• 2012

The possibility of successful commercialization of technologically innovative products depends on the degree to which consumers select and utilize the product. Therefore, the research that endeavors to find the usage behavior and the acceptance intention of users of technologically innovative products is a very important quest. This study empirically analyzes the factors that influence commercialization of a technologically innovative product: cloud computing. Existing studies examined acceptance intentions by expanding the TAM model and excluded attitude and usage behavior. This study determined attitude, usage behavior and personal characteristics of consumers to be important influencing factors. The results of the empirical analysis are as follows: First, the self-efficacy of personal characteristics had a significant effect on ease of use and acceptance intention and perceived costs had a significant influence on the factors of perceived usefulness and perceived ease of use. Second, research on the systematic characteristics of cloud computing confirmed that security was an important factor affecting acceptance intention while innovativeness was critical to ease of use. Third, of the usage characteristics among users of technologically innovative products, perceived usefulness had an effect on the acceptance and usage behavior of cloud computing, and perceived ease of use had an important influence on perceived usefulness. Currently, when cloud computing services have not yet become widespread to the public, this study proposed meaningful results for policy direction and commercialization strategies by revealing variables that influence acceptance and usage behavior.

• The Journal of Society for e-Business Studies
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• v.24 no.4
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• pp.135-149
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• 2019

Accounts receivable insurance is a system in which small and medium-sized enterprises insure the accounts receivables acquired by the purchasing company, and the insurance company pays when the purchaser fails to pay the debts. Accounts receivable insurance is a very effective means of eliminating the risk of loss due to the counterparty default, and it is economically effective to protect the domestic industry by preventing the bankruptcy of one company leading to a chain bankruptcy of other companies. In this study, we constructed a business model of the accounts receivable insurance, by building an infrastructure based on a private blockchain in activating the accounts receivable insurance accounts. The accounts receivable insurance platform using these blockchain technologies not only addressed the problem of document and reliability verification for insurance, but also sought ways to facilitate accounts receivable insurance by small businesses through rapid transaction rates, easy network expansion and access management based on private blockchain.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.2
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• pp.153-169
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• 2020

A new way of shopping based on virtual assistant, so called voice shopping, is drawing attention. The voice shopping market is growing around the world, and Korea is on the verge of full-scale commercialization of this new shopping. For the development of voice shopping-related industries, it is necessary to research on specific issues related to this new shopping methods, such as the quality of services, efficient processes tailored to new ways, and ways to build customer relationships. As part of such an attempt, the study seeks to determine the factors that affect consumers' perception and attitudes toward voice shopping. The study conducted the analysis based on survey response data of 171 online shopping users. In addition to the typical factors of the technology acceptability model(TAM) such as perceived usefulness and ease of use, the impact of perceived playfulness was included for analyzing the intention on the acceptance of voice shopping. In particular, this study focuses on the impact of user attributes. For the spread of voice shopping, it is necessary to set up a valid target customer and understand users for establishing an effective customer relationship. Therefore, this study tries to analyze how the perceptions on the voice shopping(perceived usefulness, ease of use, and perceived playfulness) are affected by users' attributes, such as user innovativeness and user knowledge level. The result of analysis shows that user innovativeness have a positive relationship with all of perceived usefulness, ease of use, and perceived playfulness. The user knowledge base, however, was not significant to all these three variables. The user knowledge base is shown to have a positive effect on user innovativeness which is the source of positively significant factor for the variable of the perceptions on the voice shopping. Meanwhile, among the variables of extended technology acceptance model, perceived usefulness and perceived playfulness have positive effects on the acceptance of voice shopping, while ease of use has no significant impact on the voice shopping acceptance. Ease of use has a positive relationship with perceived usefulness and playfulness. This study is meaningful in providing implications on the development of voice shopping platforms and related services, and establishment of customer relationship.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.41 no.8
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• pp.553-561
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• 2017

The main motivation for this study was to establish a CFD-based procedure for the analysis of heating characteristics, particularly in industrial furnaces. As certain open-source software packages have gained popularity in dealing with complex industrial problems, the OpenFOAM framework was selected for further development of advanced physical models to meet industrial requirements. In this study, the newly developed comprehensive model was applied to simulate physical processes in the full-scale horizontal furnace of a continuous galvanizing line (CGL). The numerical results obtained indicate that the current approach predicts heating characteristics reasonably well. It was also found that radiative heat transfer plays a dominant role in heating the moving strip. To improve the predictability of our method, further work is required to model the turbulence-chemistry interaction realistically, as well as to impose a physically correct thermal wall boundary condition.

• Journal of Korea Society of Industrial Information Systems
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• v.16 no.5
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• pp.137-149
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• 2011

Today, a web site is used as a strategic method to fulfill a company's objectives. In particular, a web site provides a service for customers to find satisfaction in visiting family restaurants, and it recently has helped to attract the interest of a variety of customers. Currently, companies that manage family restaurants operate their Web sites as strategic tools and use them to perform public relations and marketing of their restaurants. This effort influences management and helps to improve the business and profitability of family restaurants. The research model of this study is an expansion of the Technology Acceptance Model (TAM) and examines whether ease of use and usefulness of family restaurant web sites influence the relationship of intention to use, actual use, and recommendation to use by gender. The results of this research would suggest that web sites are useful in establishing a marketing strategy for companies that operate family restaurants.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.4
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• pp.187-217
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• 2021

This study investigated the perceptions of librarians about Podcast and YouTube services in libraries. The study was designed by applying the Extended Technology Acceptance Model. Librarian's personal, organizational, and social awareness of library Podcast or YouTube services and the degree of understanding of users and their needs on services were mediated by perceived usefulness or ease of services= and influenced to having intentions and providing the services. First, we investigated the types of Podcast and YouTueb services provided by 39 libraries in Korea. Also, we collected data using an online survey method from 181 librarians and conducted hierarchical multiple regression analysis. Findings showed that libraries are using Podcast and YouTube appropriately considering features and functions of media, mainly for library event information/promotion, library programs, book recommendations, and author (librarian) lectures or interviews. Organizational or social awareness of librarians, i.e., library educational support, human resource supports, librarian recognition, job-related features, and understanding of user perceptions and needs, influenced the intention to provide library services. Also, there was a difference in perceived usefulness and ease of services between librarians who provided Podcast and YouTube services and those who did not. We expect that findings could be used as references to understand and support various aspects of librarians in charge of developing and providing Podcast or YouTube services in libraries.

• Journal of Internet Computing and Services
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• v.14 no.4
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• pp.73-84
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• 2013

This study, based on flow theory and unified theory of acceptance and use of technology (UTAUT), examines various factors that influence the continuous use of mobile applications, particularly those providing users with satisfaction and pleasure as well as useful information. This study extends the previous studies that have been based on technology acceptance model, in which usefulness and ease of use are key determinants of use of new technology, by introducing flow theory in explaining the use of various technologies in mobile environment. For this purpose, this study employes a survey based field study and collects data from individuals who use fashion mobile apps since these are considered to provide fun and pleasures. This study finds that flow theory is a proper framework to understand the use of mobile technology, indicating flow experience is an important variable to determine the usage of fashion apps. In addition, performance expectation, effort expectation, social influence, and facilitation condition are found to be significant in influencing use of mobile apps, suggesting UTAUT still plays an important role in understanding the use of mobile technology.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.7
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• pp.1344-1356
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• 2009

The DDS (Data Distribution Service) is a data-centric communication technology that provides an efficient communication service that supports a dynamic plug & play through an automatic setting of participants' location information for each data (Topic) by using DDS discovery technique. This paper proposes the hierarchical-structured DDS discovery technique (SPDP-TBF) suitable for the large-scale distributed systems by comparing and analyzing the existing DDS discovery techniques in terms of performance and problem areas. The proposed SPDP-TBF performs the periodic discovery of the involved participants only by having separate hierarchical managers which take charge of the registration and search (of participants) so that a participant sends its information to the related participants only, and it enhances the effectiveness of the message transfer. Moreover, the proposed SPDP-TBF provides the improved scalability by performing the hierarchical discovery through hierarchical manager nodes so that it can be applied to the large-scale distributed system.