• The Journal of the Korea Contents Association
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• v.19 no.3
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• pp.138-154
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• 2019

This study was conducted to identify the use motivations of AI speaker and examine the characteristics of AI speaker users. Based on the uses and gratifications theory, The study results show that the user motivations of AI speaker are four dimensional, namely escaping from daily problems and maintaining social relationships, information acquisition and learning, entertainment and relaxation and pursuit of practicability. The main AI speaker users are in their 30s, and they are innovative to actively use AI speakers for entertainment purposes such as listening to music. The four sub-dimensions differed as we compared them with user characteristics. Specifically, the motivation for escaping from daily problems and maintaining social relationships varied with gender and age. Moreover, age and informativeness were identified to have an influence on the motivations of information acquisition and learning and entertainment and relaxation. In sum, this research provides practical implications into how to strategically create contents and services for AI speakers.

• Journal of Industrial Convergence
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• v.19 no.5
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• pp.1-11
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• 2021

Prior research regarding the macro patterns of industry convergence has focused on the inter-industry patent network and cross-industry movements of products or services. This article provides a novel approach, according to which human resources embodying explicit and implicit knowledge and technologies are important media driving industry convergence. Drawing on GOMS data (2015-2019) and using information of university graduates' academic majors and their occupations, this article proposes an analytic strategy by which to understand the macro patterns and structural features of industry convergence. Specifically, we build unbalanced bipartite networks of major-industry (occupation) relations, and construct the measures of the industry's niche width and the measure of the average degree of convergence of majors that each industry is linked to. By crossing the two measures, we identify four groups of industries(occupations); specialist, generalist, partial convergence, and full convergence. The convergence group is composed of industries (occupations) that acquire human resources from a number of academic majors each of which plays a role of glue connecting several local industries.

• Journal of the Korea Society of Computer and Information
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• v.27 no.7
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• pp.177-185
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• 2022

In this paper, we attempt to explore consumers' willingness to continuously watch stage performances on virtual reality technology platforms and the mediating role of the psychological contract in it through the integration of service quality theory, thus constructing a continuous viewing model and conducting an empirical analysis through SPSS and AMOS. Through the analysis, we came to the following conclusions: 1. Interaction quality, physical environment quality, and outcome quality have a positive impact on psychological contract; 2. The psychological contract has a positive impact on the willingness to continuously watch; 3. Interaction quality, physical environment quality, and outcome quality positively influence the willingness to continuously watch through psychological contract. Therefore, this model can be used by companies to grasp consumers' perceptions of their own service quality and to formulate specific strategies, and it provides new directions and insights for stage performance companies.

• Journal of Creative Information Culture
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• v.7 no.3
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• pp.129-144
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• 2021

This study was conducted for the purpose of developing a design thinking-based capstone design instructional model for pre-service teachers. Through the analysis of literature related to learner-centered instruction, design thinking and capstone design instructional design principles and instructional models for pre-service teacher education were discovered, and core elements were derived. Based on the core elements derived through literature analysis, the capstone design instructional design model and teaching and learning model based on design thinking for pre-service teachers were developed. The developed model conducted a total of three Delphi surveys including expert validation for 6 experts related to education including design thinking, capstone design, was revised, supplemented, and the final draft was confirmed. The final results of this study contain the overall contents of the instructional design, instructor's activities in detailed steps, and guidelines for learners' activities.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.5
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• pp.145-156
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• 2022

In recent years, as there is growing concern with ESG (Environmental, Social, and Governance), the strategic direction of business management is changing from maximizing shareholders wealth to maximizing stakeholders value. ESG is reshaping a corporation's supply chain management strategies. The purpose of this study is to explore the ESG challenges in supply chain management. As a result of network text analysis and topic modeling analysis on 3226 news articles, 'Suppliers', 'Sustainability', 'Shared Growth' 'Carbon Neutral', 'Safety and Health', 'Responsible Business Alliance', 'Supply Chain Due Diligence Law' were identified as the main issue. Since ESG initiatives in the supply chain are not limited to the efforts of individual firms, future research should focus on figuring out what difficulties and challenges exist in the diffusion of ESG practices along multi-tiered supply chains, and how to overcome them.

• Journal of Convergence for Information Technology
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• v.10 no.4
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• pp.35-45
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• 2020

To diversify the agro-food exports of Korea, this study selected Russia, which is located closet to CIS countries, as a sampling area and sought ways to promote the export of Korean hang over drinks to Russia. This study analyzed the contributing factors to the export, such as Russian consumers' purchasing intentions, as well as the willingness to pay of korean hang over drinks in Russia, using the paper review and on-off line survey data correction method. Major results are as follows. First, Russian consumers' intention of purchasing Korean hang over drinks is higher than Europe and the other products. Therefore, it is necessary to understand the demographic characteristics of Russian consumers and then actively use niche marketing strategies. Second, the purchase intention of Russian consumers towards increased when buying behavior occurred in supermarket, hypermarket- and convenience stores. Third, it seems prefer to pricing of Korean hang over drinks in Russian export market similar to the domestic price level.

• Journal of the Korean Society of Food Science and Nutrition
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• v.44 no.1
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• pp.152-159
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• 2015

The purpose of this study was to analyze how consumers make links between convenience meat products and self-relevant consequences and value. Surveys on convenience meat product consumption patterns and hard laddering based on means-end chain theory were conducted from April 21 to April 25, 2014 and targeted 200 consumers in the US. The most preferred cooking method of convenience meat product was roast (25.9%) and the most common information medium was suggestions by friends and parents (37.1%). The main as well as desired places of purchasing were both the supermarket (33.6% and 27.3%, respectively). The most preferred promotion method was free sample events (38.5%). From analyzing means-end chains of convenience meat products, the most dominant value chain was 'taste (A)'-'good taste (C)'-'feel good (V)'. These results show that consumption of convenience meat products will increase when consumer expectations of taste and satisfaction are met. Further, results of the value measurement provide information on consumer satisfaction and needs and can be applied to set marketing strategies for Korean style convenience meat products.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.4
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• pp.382-390
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• 2019

As there is severe competition in the global foldable display market, strategic technology planning is required. Patent analysis as a tool for technology planning has frequently been used due to data characteristics such as openness, formality, and detailed information. However, traditional patent analysis has various limitations such as quantitative approaches are limited in evaluating contents of patents and identifying core technologies of firms as they rely on number of patents, and qualitative approaches have time and cost problems as researchers have to investigate each patent on a case-by-case basis. In this research, we analyze core technologies of firms in the foldable display sector analyzing patent co-classification Network. Results show that the number of patent applications has rapidly increased since 2014, and 92% of these patents are held by two panel manufacturers, SDC and LGD, and two device manufacturers, SEC and LGE. Network analysis shows that the two panel manufacturers' core technologies are similar and two device manufacturers are notably different. This research provides implications to the sector. Moreover, this study provides unique results drawn from co-classification network analysis, and therefore, our research suggests patent co-classification analysis as an effective tool for technology planning.

• Korean Security Journal
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• no.40
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• pp.35-56
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• 2014

The purpose of this study was aimed to identify the relationship between pursuit benefit and behavior by spectators participating security exhibition. The result of study is significant because it may provide more effective and aggressive marketing strategies to the future companies participating security exhibition, and suggest developmental direction by actively responding spectators' needs. The subject for this study was spectators who participating World Security Expo 2014 held three days from March 12 to 14 in 2014. 300 samples were selected by convenience sampling for subject of this study. 283 out of 300 surveys, excluded 17 unfaithful and defected surveys, were used for data analysis. Research tool was questionnaire which was based on and recomposed by previous researches home and abroad. The collected data were treated for analysis of frequency, reliability, factor analysis, correlation, and regression by using SPSS statistic package version of 18.0. Through the above research method and procedure, the results were as followings. First, the relationship between pursuit benefit and behavior after participating exhibition appeared positively. It was found that there was high relationship between pursuit benefit and behavior. Second, analyzing relationship of factors between pursuit benefit and behaviors resulted to effect information exploration, good use of spare time, and product purchase on word of mouth. Third, analyzing relationship of factors between pursuit benefit and behaviors resulted to effect good use of spare time, information exploration, and product purchase on re-participation.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.05a
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• pp.140-148
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• 2002

컴퓨터를 통해 편리한 생활을 추구해온 인간들은 전자상거래 분야에서도 이러한 욕구를 충족시키기 위해 자동협상이라는 기능을 요구하게 되었다. 지능형 에이전트를 이용한 자동협상은 인간의 거래협상 업무의 부담을 많은 부분을 덜어주고 있어 자동협상 에이전트에 관한 연구들이 활성화되고 있다 소비자간 전자상거래에서는 다수의 자동협상 에이전트 연구들이 경매시장에서의 자동협상에 초점을 맞추고 있는데 반해, 가격 이외의 여러 거래속성을 갖는 상품에 대한 제안기반 협상시장에서의 자동협상 에이전트에 관한 연구들이 최근에 활발히 이루어지고 있다. 본 연구에서는 소비자간 전자상거래에서 거래속성의 변화에 따라 개인의 효용가치의 차이를 이용한 다속성 상품의 제안기반 협상시장이 가져야할 특성에 대해 연구하고, 이를 기반으로 자동 거래협상을 수행에 필요한 거래속성 변화에 따른 소비자 개인의 선호체계를 표현하기 위한 방법을 개발하였다. 그리고 이러한 자동 거래협상을 공정하게 수행하기 위해 협상시장이 가져야할 특징과 프로토콜을 제안하고 시장운영 에이전트 시스템의 구조를 설계하였다. 마지막으로 이러한 분산형 시장구조를 갖는 제안기반의 협상시장에 참여하는 사용자 에이전트 시스템이 최적의 거래상대와 최적의 거래안을 찾기 위한 탐색방법을 구체적으로 개발하였다. 본 연구의 결과를 통하여 소비자간 전자상거래에서 구매자 뿐만 아니라 판매자도 협상결과에 따른 거래로 얻어지는 자신의 효용을 극대화할 수 있는 공정한 협상시장을 운영할 수 있을 뿐만 아니라 사용자들도 손쉽게 자신의 협상 선호체계를 쉽게 표현하고, 표현된 선호체계를 반영한 자동 거래협상을 수행할 수 있을 것 이다. 기존의 UN/EDIFACT표준을 사용하고 있는 EDI환경과 기존 VAN 방식의 EDI 중계 시스템과 연동되며, 향후 관세청의 XML/EDI 표준 시행을 미리 대비하는 선도연구로서 자리매김이 된다. 본 연구에서는 개발된 XML/EDI 통관시스템은 향후, 서비스의 최대 걸림돌이 되어왔던 값비싼 EDI 사용료의 부담에서 벗어날 수 있게 할 것이며, 저렴한 EDI구축/운영 비용으로 전자문서교환의 활성화와 XML이 인터넷 기반의 문서유통 표준으로 자리매김할 수 있는 중요한 계기가 될 것이다.재무/비재무적 지표를 고려한 인공신경망기법의 예측적중률이 높은 것으로 나타났다. 즉, 로지스틱회귀 분석의 재무적 지표모형은 훈련, 시험용이 84.45%, 85.10%인 반면, 재무/비재무적 지표모형은 84.45%, 85.08%로서 거의 동일한 예측적중률을 가졌으나 인공신경망기법 분석에서는 재무적 지표모형이 92.23%, 85.10%인 반면, 재무/비재무적 지표모형에서는 91.12%, 88.06%로서 향상된 예측적중률을 나타내었다.ting LMS according to increasing the step-size parameter $\mu$ in the experimentally computed. learning curve. Also we find that convergence speed of proposed algorithm is increased by (B+1) time proportional to B which B is the number of recycled data buffer without