• 한국IT서비스학회지
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• 제20권3호
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• pp.41-56
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• 2021

New drug discovery and development research enable clinical treatment that saves human life and improves the quality of life, but the possibility of success with new drugs is significantly low despite a long time of 14 to 16 years and a large investment of 2 to 3 trillion won in traditional methods. As artificial intelligence is expected to radically change the new drug development paradigm, artificial intelligence new drug discovery and development projects are underway in various forms of collaboration, such as joint research between global pharmaceutical companies and IT companies, and government-private consortiums. This study uses the TOE framework and the Value-based Adoption Model, and the technical, organizational, and environmental factors that should be considered for the acceptance of AI technology at the level of the new drug research organization are the value of artificial intelligence technology. By analyzing the explanatory power of the relationship between perception and intention to use, it is intended to derive practical implications. Therefore, in this work, we present a research model in which technical, organizational, and environmental factors affecting the introduction of artificial intelligence technologies are mediated by strategic value recognition that takes into account all factors of benefit and sacrifice. Empirical analysis shows that usefulness, technicality, and innovativeness have significantly affected the perceived value of AI drug development systems, and that social influence and technology support infrastructure have significant impact on AI Drug Discovery and Development systems.

• 한국IT서비스학회지
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• 제14권2호
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• pp.355-373
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• 2015

Social networking services (SNSs) serve to strengthen people's social relationships by providing ways for people to utilize such relationships especially like workplace. With the development of the internet worldwide, the number of SNS users is rapidly growing and a wider range of service types have become available. In this study, we designed a research model with a focus on what makes people use SNSs at workplace and how it is associated with changes in relationship quality and their intention to continue using the services and analyzed data collected for the research model. Theoretically, intrinsic and extrinsic motivation was invoked and measured, in terms of hedonic and utilitarian values, and satisfaction and trust were adopted as variables of relationship quality. Data were collected from Facebook users using workplace, and a partial least squares (PLS) analysis was made on 188 data points. The analysis results showed that two forms of motivation-hedonic and utilitarian-are separated from each other in their influence and that utilitarian value is more important than hedonic value, especially when it comes to users' satisfaction. In addition, the analysis found a weak relationship between satisfaction and trust in SNS environments; this was a little different from the results of previous studies.

• 산업경영시스템학회지
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• 제35권3호
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• pp.62-69
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• 2012

This thesis proposes a new social network simulator, which can be used for the social network analysis (SNA). It is composed of three modules; initialization, network evolution, and output generation. For the network evolution module, we suggest a modified JGN (MJGN) based on JGN, the network evolution model developed by Jin, Girvan, and Newman. Arena, one of the most popular simulation tools, was used to model the agent based social network simulator. Lastly, some test results were presented to show the value of the proposed simulator when one performs SNA at the longitudinal point of view.

• 지식경영연구
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• 제9권3호
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• pp.107-123
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• 2008

Company strategy that considers market trend becomes a more important key to success in the new product development. Well-being as a present social trend has created a huge new product market. but with increasing number of camouflaged well-being products that are not fulfilled consumer needs. The purpose of this study is to understand the concept of well-being products from a consumer point of view an to find five consumer values based on the consumer value model of Sheth, Newman, and Gross(1991) through conducting content analysis from semi-structured individual In-depth Interviews. This study has a significance in identifying the detailed consumer value attributes and influence factors by collecting practical and reach qualitative data in the lack of systematic research of domestic well-being market and its products from a consumer point of view. The result of this study will be a foundation of future quantitative researches and provide a guideline to companys' well-being marketing strategy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권11호
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• pp.3935-3949
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• 2021

With the rapid development of Internet and big data technology, various online social network platforms have been established, producing massive information every day. Hot topic discovery aims to dig out meaningful content that users commonly concern about from the massive information on the Internet. Most of the existing hot topic discovery methods focus on a single network data source, and can hardly grasp hot spots as a whole, nor meet the challenges of text sparsity and topic hotness evaluation in cross-network scenarios. This paper proposes a novel hot topic discovery method across social network based on an im-proved LDA model, which first integrates the text information from multiple social network platforms into a unified data set, then obtains the potential topic distribution in the text through the improved LDA model. Finally, it adopts a heat evaluation method based on the word frequency of topic label words to take the latent topic with the highest heat value as a hot topic. This paper obtains data from the online social networks and constructs a cross-network topic discovery data set. The experimental results demonstrate the superiority of the proposed method compared to baseline methods.

• 농촌계획
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• 제10권1호
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• pp.1-7
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• 2004

There are recently many studies on evaluating the economic value of multi-functionality of rural areas. However, the regional difference of economic value leads a problem of different evaluation on its economic value for each region in its application to government policy. This problem causes an increase in cost because it creates restriction in policy decisions which put their importance on the time of their execution. This study investigates the propriety of value transfer using Meta Analysis after evaluating the social and cultural value of rural areas among their functions based on CVM model. It finds that the regional difference in the willingness to pay is 0.13% to 31.42%.

• 한국농공학회지
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• 제34권3호
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• pp.64-74
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• 1992

The way of thinking of rural residents(Izuk-myun, Anseong-gun, Kyeonggi-do) was surveyed in order to develop the basic model of new rural setlement planning. From the data collected in this survey, rural life-style, farmers' view on traditional rural life, agriculture, farming, agri-policy, social attitude, and degree of satisfaction of rural life, etc. were analyzed. Firstly, most of rural residents interviewed in this survey have the opinion of not leaving their home village if living conditions improved to a reasonable level in the near furture. In decision- making process of village affairs, they want to participate actively and equally. Secondly, in spite of their acceptance of agriculture as a vital sector destined to national security, most of them think that farming should be little of promise. Thirdly, they have the negative attitude to urban-oriented social value and also to the agricultural policy, while seeking consolation through human and traditional viewing of rural life style. Therefore, in the development of new rural settlement model, idea-making should be directed to the betterment of communal value of village life, stability of rural economy, rationalization of rural life style and enhancement of rural-type happiness.

• 무역상무연구
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• 제78권
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• pp.145-174
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• 2018

This study, focused on Official Development Assistance(ODA) as a solution to the global polarization and demonstrated how corporate social responsibility (CSR) plays a role in raising the performance of ODA. First, socio - economic value and profit - created by CSV activities have a significant effect on constructing an economic reciprocal relationship between donor countries and recipient countries. In addition, it has shown that it promotes the simultaneous development of companies and society through the strategic CSR model and consequently contributes to the achievement of ODA. Second, it suggests that the elements of the BOP model have a significant effect on improving the unreasonable wage system and unethical working conditions of developing countries. Furthermore, this suggests that improving the income of the poor can improve the performance of ODA. Third, this study reconstructed 'CSR Pyramid' of Carrol and newly devised CSRD theory. In the case of ODA to developing countries, economic, legal, ethical, and charitable responsibilities are set priorities. In this study, it is suggested that the priority should be flexibly set as economic ${\rightarrow}$ charitable ${\rightarrow}$ ethical ${\rightarrow}$ legal responsibility. This study reexamines the strategic CSR model in the international management field and conducted empirical analysis on CSV, BOP, CSRD model as the constituent elements. In addition, the strategic CSR model that has moved away from the traditional and old-fashioned perspectives still has room for development, and exploratory research to develop the model will continue to contribute to clarifying the concept and scope of CSR.

• 한국생활과학회지
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• 제21권1호
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• pp.95-111
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• 2012

This study investigated the pathways of factors affecting 173 employed mothers' second childbirth plans. Participants were all employed working mothers with an infant under 10 months old. The hypothetical model used in this research proposed that workplace childcare support, social support, value of children and parenting stress of employed mothers will directly affect second childbirth plans. Additionally, workplace childcare support, social support, value of children, marital satisfaction and job satisfaction will indirectly influence second childbirth plans as a result of parenting stress. The results of this research demonstrated that value of children and parenting stress were the factors which directly affected second childbirth plans of employed mothers. In addition, workplace childcare support, social support, marital satisfaction and job satisfaction indirectly influenced second childbirth plans as a result of parenting stress. This study suggests the need for the establishment and development of workplace childcare support and the need for enhancing the value of children. This research further suggests the need for policies aimed at increasing psychological well-being and decreasing parenting stress for working mothers who are contemplating second childbirth plans.

• 디지털산업정보학회논문지
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• 제17권3호
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• pp.63-83
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• 2021

The appearance of education is also rapidly changing in social changes represented by social networks. And the development of information and communication technology is also having a widespread effect on the education field. In the era of untact caused by Covid-19, education through smart learning is having a greater effect on students as well as adult learners more quickly and broadly. In addition, smart learning is not just limited to learning content, but is developing into personalized, convergence, and intelligent. The purpose of this study is to identify the factors of ARCS motivation theory that can determine the learning motivation of smart learning users, and to empirically study the casual relationship between these factors on education achievement through practical value and hedonic value. Specifically, I would like to examine how the independent variables ARCS motivation factors (attention, relevance, confidence, and satisfaction) affect learners' education achievement through the parameters of practical value and hedonic value. To this end, a research model was presented that applied the main variables of attention, relevance, confidence, and satisfaction, which are four elements of ARCS motivation theory, a specific and systematic motivational strategy to induce and maintain learners' motivation. In order to empirically verify the research model of this study, a survey was carried out on learners with experience using smart learning. As a result of the study, first attention was found to have a positive effect on the hedonic value. Second, relevance was found to have a positive effect on the hedonic value. Third, it was found that confidence did not have a positive effect on the practical value and the hedonic value. Forth, satisfaction was found to have a positive effect on the practical value and the hedonic value. Fifth, practical value was found to have a positive effect on the education achievement. Sixth, hedonic value was found to have a positive effect on the education achievement. Through this, it can be seen that the intrinsic motivation of learners using smart learning affects the education achievement of users through intrinsic and extrinsic value. A variety of smart learning that combines advanced IT technologies such as AI and big data can contribute to improving learners' education achievement more effectively and efficiently. Furthermore, it can contribute a lot to social development.