• Journal of Korea Society of Digital Industry and Information Management
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• v.16 no.4
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• pp.95-110
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• 2020

The purpose of this study is to empirically examine organizational change for a technological application of the fourth industrial revolution. The theoretical background of this study utilized organizational change management, the fourth industrial revolution, technological innovation, and voluntary acceptance. This research method used structural equations, cluster analysis, and analysis of variance. According to the results of the study, the organizational implement system, organizational leadership, and organizational operating system provided a positive effect on the voluntary technology acceptance of organization members. The voluntary technology acceptance provided a positive effect on the effectiveness of individual task innovation. However, organizational institutionalization among the independent variables did not affect voluntary acceptance. All independent variables except the organizational institutionalization had a partial mediating effect in the mediating effect verification. Meanwhile, The three groups by the cluster analysis were classified as new technology apathy, preference, and anxiety groups, and differences appeared among groups in the importance of organizational change variables. The organizational implement system in the technology apathy group and the organizational operating system in the technology anxiety group have a positive effect on voluntary technology acceptance. The technology preference group shows that a positive effect on organizational leadership and a negative effect on organizational institutionalization for voluntary technology acceptance. This study analyzed the technology application of the fourth industrial revolution in the organization based on the theory of organizational change. There has been reexamined the organizational change theory based on the new technology acceptance by the change of external environment in the fourth industrial revolution and the importance of technology innovation. As a practical implication, firms that are interested in a new technology of the fourth industrial revolution should prioritize preparing an implementation system when designing organizational changes.

• International Commerce and Information Review
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• v.12 no.3
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• pp.335-359
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• 2010

The purpose of this study is to interpret the articles revision of the 2009 ISC(Cargo) compared to the 1982. The result of this study is summarized as followings: 1) the 'clause' attached to article in 1982 ISC(Cargo) was deleted in the revision of 2009 ISC(Cargo). 2) 2009 ISC(Cargo) is characterized as the marine insurance firms' acceptance of new environment change, limitation in causation and subject-matter insured, expansion of insurance period, and limited revision. 3) The assured has a large range of choice in 2009 ISC(Cargo) even though both 1982 ISqCargo) and 2009 ISC(Cargo) would be existed further. 4) There are few studies which have a focus on the impact of the relationship between responsibility of the insurer and opportunity of the assured on rate of premium. In the future, the studies on clauses, relationship among clauses, relationship between clause and rate of premium are needed in the 2009 ICC(Air), 2009 IWC(Air Cargo), 2009 ISC(Air Cargo), 2009 IWC(sending by post) et al.

• Human Ecology Research
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• v.54 no.4
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• pp.405-414
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• 2016

The rapid change of consumer expectations in shopping environments has required retailers to actively adopt omni-channel services, however, limited research exists on the topic. We identify the effect of consumer's utilitarian shopping value on expectations for omni-channel services. An online survey was conducted on 176 subjects who had experience using omni-channel services. We employed Unified Theory of Acceptance and Use of Technology (UTAUT) as our theoretical model to explore the mechanisms of consumers' acceptance of omni-channel services in fashion. We used SPSS ver. 22.0 and AMOS ver. 22.0 programs to analyze data. The results indicate that utilitarian shopping value has a positive effect on performance expectancy, effort expectancy, and social influence for omni-channel services. Performance expectancy for omni-channel services also has a positive effect on the purchase intentions of fashion products. Effort expectancy for omni-channel services also positively increases the purchase intentions of fashion products. Last, the social effect of omni-channel services has a significant positive effect on purchase intention. All the hypotheses were supported. The research findings can provide the fashion distribution industry with useful basic data to understand the needs of consumers who use multi-channels when establishing a new channel or marketing strategy.

• The Journal of the Korea Contents Association
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• v.21 no.9
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• pp.312-321
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• 2021

With the full implementation of open banking in which both banks and fintech companies participate, changes in the whole society such as new types of products, services, and businesses are taking place. Whenever new systems and environments change, research on technology acceptance by system users has been continued, and this study also verified how the characteristics of open banking affect the perceived ease of use and usefulness of the Technology Acceptance Model, and the intention to use open banking. As a result of the study, it was found that both information provision, service interactivity, and system stability had a significant effect on perceived ease of use, usefulness, and intention to use open banking. In the future, open banking may bring significant benefits to data sharing, financial access, banking infrastructure, product innovation and pricing, but it is also expected to bring unexpected damage. Therefore, domestic financial institutions should actively cope with the situation where the business environment is greatly changing due to the digital environment change, and at the same time actively foster fintech companies and promote innovation in the financial industry.

• Journal of Korean Medical classics
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• v.33 no.3
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• pp.63-89
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• 2020

Objectives : To suggest conditions that will allow for change in Traditional Korean Medicine (TKM) curricula through analysis of the failure of widespread acceptance of the integrated curriculum into all Traditional Medicine Colleges. Methods : First, the process of change between TKM education and medical education was compared. Next, the conditions that would stimulate change in TKM curricula were analyzed in three levels: structure, policy, and actor. Results : TKM colleges have not experienced a structural change from the six-year to four-year structure. The accreditation standards of TKM education (KAS2021) should be more supportive instead of forcing change, and the goals should be reset to education improvement instead of meeting the standards of WFME. The deans' leadership and professors' ownership over their subjects need to be modified. A group of professionals that could lead change is required, while other factors such as full-time professorships, clinical practice hours, obligatory teaching hours and overall teaching environment need to be improved. Conclusions : It would be ideal if individual TKM colleges created success models of curricula change-despite the time and effort that is required-that could spread to other colleges. After the new curriculum has been accepted in more that half of the total eleven TKM colleges, an institutional isomorphism can be demanded.

• Tunnel and Underground Space
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• v.2 no.1
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• pp.1-10
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• 1992

As our global population grows each day, it is apparent that we must find new ways to provide space for habitation and the services necessary to support large urban areas. It is no longer advisable nor acceptable to continue to expand our cities on the surface, encroaching on valuable agricultural land and open space. We must also find ways to be more energy efficient in every aspect of our societies. Effective use of underground space can provide the space necessary to accommodate larger populations and the services necessary for their support in existing urban areas we can also find new ways to utilize underground facilities to improve urban efficiency and function. Underground technology has improved dramatically in the last two decades and continues to evolve to meet a great variety of applications. The confluence of available technology, economic feasibility, and greater acceptance of underground solutions with recognition of the need to change the ways we build and use out urban areas and their surrounding environment indicates that we are witnessing only the beginning of appropriate and innovative use of underground space future generations will indeed 'Think deep'.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.103-128
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• 2021

Recently, investors' interest and the influence of stock-related information dissemination are being considered as significant factors that explain stock returns and volume. Besides, companies that develop, distribute, or utilize innovative new technologies such as artificial intelligence have a problem that it is difficult to accurately predict a company's future stock returns and volatility due to macro-environment and market uncertainty. Market uncertainty is recognized as an obstacle to the activation and spread of artificial intelligence technology, so research is needed to mitigate this. Hence, the purpose of this study is to propose a machine learning model that predicts the volatility of a company's stock price by using the internet search volume of artificial intelligence-related technology keywords as a measure of the interest of investors. To this end, for predicting the stock market, we using the VAR(Vector Auto Regression) and deep neural network LSTM (Long Short-Term Memory). And the stock price prediction performance using keyword search volume is compared according to the technology's social acceptance stage. In addition, we also conduct the analysis of sub-technology of artificial intelligence technology to examine the change in the search volume of detailed technology keywords according to the technology acceptance stage and the effect of interest in specific technology on the stock market forecast. To this end, in this study, the words artificial intelligence, deep learning, machine learning were selected as keywords. Next, we investigated how many keywords each week appeared in online documents for five years from January 1, 2015, to December 31, 2019. The stock price and transaction volume data of KOSDAQ listed companies were also collected and used for analysis. As a result, we found that the keyword search volume for artificial intelligence technology increased as the social acceptance of artificial intelligence technology increased. In particular, starting from AlphaGo Shock, the keyword search volume for artificial intelligence itself and detailed technologies such as machine learning and deep learning appeared to increase. Also, the keyword search volume for artificial intelligence technology increases as the social acceptance stage progresses. It showed high accuracy, and it was confirmed that the acceptance stages showing the best prediction performance were different for each keyword. As a result of stock price prediction based on keyword search volume for each social acceptance stage of artificial intelligence technologies classified in this study, the awareness stage's prediction accuracy was found to be the highest. The prediction accuracy was different according to the keywords used in the stock price prediction model for each social acceptance stage. Therefore, when constructing a stock price prediction model using technology keywords, it is necessary to consider social acceptance of the technology and sub-technology classification. The results of this study provide the following implications. First, to predict the return on investment for companies based on innovative technology, it is most important to capture the recognition stage in which public interest rapidly increases in social acceptance of the technology. Second, the change in keyword search volume and the accuracy of the prediction model varies according to the social acceptance of technology should be considered in developing a Decision Support System for investment such as the big data-based Robo-advisor recently introduced by the financial sector.

• Fashion & Textile Research Journal
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• v.17 no.5
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• pp.704-717
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• 2015

In modern fashion fabrics became an important element that leads the current of fashion beyond materials. Also, it has a creative role that reflects emotional and visual aspects, and it is considered as a mega trend that will lead the $21^{st}$ century fashion industry. The value of fashion products is affected not only by the style and design but also the sensuous properties like color, pattern, texture, and drape of fabrics. Therefore, in this study, characteristics of fabric trend between 2007 S/S and 2010 S/S will be analyzed focused on Premiere Vision, which influenced many Korean fashion trend information companies, while looking into the fabric trends shown in the world's top four collections-Paris, Milan, London, and New York-and Seoul collection, and comparing and analyzing the acceptance level of those. Fashion fabric is an important part in fashion design and change with social environment and value, its considered that the role and importance of subject matters increases in changing fashion design toward globalization by meeting various personality which is diversified more and more. It is to provide specific and practical data to be used for the Korean fashion industry, which can be used as useful information for future fabric researchers and people in the fashion industry for integrated study of fashion design and fashion fabric.

• Asia pacific journal of information systems
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• v.32 no.2
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• pp.435-459
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• 2022

The accounting literature abounds with many studies concerning the organizational and technical aspects of the AIS to simulate progress in the business environment. However, few studies have focused on the role of individual factors in overcoming resistance to change and maximizing the value of using the system. Therefore, this study aims to shed light on user beliefs by evaluating the factors that affect the use of the AIS using a developed TAM. A total of 132 subjects participated in this study, in which the questionnaire was used as a data collection tool and AMOS was used to test the model. The results showed that subjective norm, training and experience were the most important previous factors that affect the perceptual factors represented in usefulness, ease of use and the inevitability of change, which all had an impact on the continuance intention to use the AIS among users in Algerian firms. This study shed light on the importance of assessing individual factors rather than focusing only on the ways to develop AIS or researching for new technologies and the costs of this investment because this will increase the chances of success in using the system.

• The Journal of the Korea Contents Association
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• v.15 no.8
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• pp.96-108
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• 2015

The market of webtoon is expanding and the main users' acceptance environment of webtoon is changing from web to mobile. Among this phenomena, platform companies combined various digital technologies and a new user interface to the webtoon. The major directions of change in webtoon are applying multimedia effects and actualize the optimized form for the mobile environment represented by a smartphone. This study defined these types of webtoon as 'Webtoon 2.0' and built a separate concept from 'Webtoon 1.0' which means the early form of webtoon. Through this, we propose a new standard in classifying various types of cartoons that are sporadically serviced to users. Also, through experiments with users, we checked the current status of webtoon 2.0 and webtoon 1.0 by quantitatively measuring and analyzing the degree of user satisfaction with the current webtoon. Through this, this study suggest technical and aesthetic development application of Korean webtoon which is available to platform operators, writers and users.