• 한국산업정보학회논문지
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• 제22권1호
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• pp.105-116
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• 2017

본 연구에서는 콜라우드 서비스의 높은 실패율에 대하여, 어떠한 위험이 존재하는지 살펴보고, 이러한 위험을 제거하기 위한 실물 옵션, 특히 포기 옵션의 채택에 영향을 끼칠 수 있는 위험의 종류에 대하여 실증 분석을 실시하였다. 특히 개인 차원에서 인식하는 위험의 정도가 포기 옵션의 채택에 어떠한 영향을 끼치는 지에 더하여, 조직 차원의 변수 (CEO의 혁신성, 밴드웨건 효과)가 개인 차원의 효과들을 어떻게 조절하는지에 대하여 실증 분석을 실시한다. 수도권 소재 중소기업의 IT 담당자들을 대상으로 설문조사한 내용을 바탕으로, 기술적 위험과 경제적 위험이 포기 옵션의 채택에 유의한 영향을 끼치며, CEO의 혁신성이 기술적 위험의 효과를 억제하는 조절 효과가 검증되었다. 그러나, 밴드웨건 효과는 개인 차원의 영향을 억제하는 조절 효과는 실증적으로 유의하지 않았다.

• 한국정보시스템학회지:정보시스템연구
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• 제25권2호
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• pp.131-152
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• 2016

Purpose Mobile phones increase the frequency and speed of communication. The most popular mobile application in Korea is KakaoTalk, one of the mobile instant messenger(MIM) services. Although studying mobile services such as SMS, SNS and SNG suggests drawing upon theories in marketing, consumer behavior, psychology to investigate their personal use, research on MIM is scarce. We designed this paper to fill this gap. More specifically, this study is focused on the relationships among consumers psychological variables related to purchase intention to emoticons in context of MIM. Design/methodology/approach Data was obtained from 310 KakaoTalk users in Korea via questionnaire. The data was analyzed by structural equation modeling in order to verify the relationship between variables in the model. Specifically, this study is designed to examine the structural relationships among perceived benefits, perceived risks, trust in messenger service, system quality, trust in platform, and emoticons purchase intention. Findings The findings of this study are as follow. First, perceived benefits and perceived risks had a significant impact on trust in MIM service(e.g. KakaoTalk). Specifically, while perceived benefits had a positive effect on trust in MIM service, perceived risks had a negative effect on trust in MIM service. Second, trust in messenger service also had a positive impact on system quality. Third, trust in messenger service and system quality had a positive effect on trust in platform(e.g. Kakao platform) directly. Lastly, trust in platform had a positive influence on emoticons purchase intention in KakaoTalk messenger.

• Human Ecology Research
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• 제52권6호
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• pp.601-616
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• 2014

This study's aim was to explore the relationships among consumers' perceived risk, trust, and familiarity with products made in China. We invited 489 Korean adult consumers, who had purchased products made in China earlier, to take part in this investigation. Data analyses were conducted using a reliability test, confirmatory factor analysis, and structural equation modeling (SEM) with SPSS ver. 21.0 and AMOS ver. 21.0. We assumed that the perceived risk could be classified into four types: financial, performance, psychological, and social risk. The empirical verification through SEM indicated that all four types of the perceived risk represented a negative influence on the trust. Further, only the financial and psychological risks were significant when consumers were not familiar with products made in China (novice); in contrast, the experts (consumers familiar with products made in China) showed that the performance and social risks were effective. Finally, we found that there was a moderating effect of familiarity on the relationship between three types of perceived risk, namely financial, performance, and psychological risks, and trust, but the social risk was not affected. The results of this research should help us to understand the consumers' risk perception of imported goods and to formulate criteria on the basis of which the consumers evaluate these products. This research can help companies, particularly those in China, to formulate market strategies effectively when they enter a foreign market such as Korea by exploring the influence of the perceived risk on local consumers' purchasing behaviors as well.

• 한국안전학회지
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• 제32권5호
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• pp.157-167
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• 2017

Millions of People die every year from diseases caused by exposure to outdoor air pollution. Especially, one of the most severe types of air pollution is fine particulate matter (PM10, PM2.5). South Korea also has been suffered from severe PM. This paper analyzes regional risks induced by PM10 and PM2.5 that have affected domestic area of Korea during 2014~2016.3Q. We investigated daily maxima of PM10 and PM2.5 data observed on 284 stations in South Korea, and found extremely high outlier. We employed extreme value distributions to fit the PM10 and PM2.5 data, but a single distribution did not fit the data well. For theses reasons, we implemented extreme mixture models such as the generalized Pareto distribution(GPD) with the normal, the gamma, the Weibull and the log-normal, respectively. Next, we divided the whole area into 16 regions and analyzed characteristics of PM risks by developing the FN-curves. Finally, we estimated 1-month, 1-quater, half year, 1-year and 3-years period return levels, respectively. The severity rankings of PM10 and PM2.5 concentration turned out to be different from region to region. The capital area revealed the worst PM risk in all seasons. The reason for high PM risk even in the yellow dust free season (Jun. ~ Sep.) can be inferred from the concentration of factories in this area. Gwangju showed the highest return level of PM2.5, even if the return level of PM10 was relatively low. This phenomenon implies that we should investigate chemical mechanisms for making PM2.5 in the vicinity of Gwangju area. On the other hand, Gyeongbuk and Ulsan exposed relatively high PM10 risk and low PM2.5 risk. This indicates that the management policy of PM risk in the west side should be different from that in the east side. The results of this research may provide insights for managing regional risks induced by PM10 and PM2.5 in South Korea.

• Journal of Radiation Protection and Research
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• 제42권4호
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• pp.205-211
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• 2017

Background: Radiation is used in a variety of areas, but it also poses potential risks. Although radiation is often used with great effectiveness in many applications, people perceive potential risks associated with radiation and feel anxious about the possibility of radiation exposure. Various methods of measuring radiation doses have been developed, but there is no way for the general public to measure their doses with ease. Currently, many people use smartphones, which provide information about the location of an individual phone through network connections. If a smartphone application could be developed for measuring radiation dosage, it would be a very effective way to measure individuals' radiation doses. Thus, we conducted a survey study to assess the social acceptance of such a technology by the general public and their intent to use that technology to measure radiation doses, as well as to investigate whether such an intention is correlated with anxiety and attitudes toward the use of radiation. Materials and Methods: A nationwide online survey was conducted among 355 Koreans who were 20 years old or older. Results and Discussion: Significant differences were found between the genders in attitudes, perceptions of radiation risk, and fears of exposure to radiation. However, a significant difference according to age was observed only in the intent to use a smartphone dose measurement application. Attitudes towards the use of radiation exerted a negative effect on radiation risk perception and exposure anxiety, whereas attitudes towards the use of radiation, risk perception, and anxiety about exposure were found to have a positive impact on the intent to use a smartphone application for dose measurements. Conclusion: A survey-based study was conducted to investigate how the general public perceives radiation and to examine the acceptability of a smartphone application as a personal dose monitoring device. If such an application is developed, it could be used not only to monitor an individual's dose, but also to contribute to radiation safety information infrastructure by mapping radiation in different areas, which could be utilized as a useful basis for radiation research.

• 한국산업정보학회논문지
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• 제22권4호
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• pp.65-77
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• 2017

본 논문은 클라우드 서비스 위험(기술, 관계, 경제, 보안 차원)의 클라우드 서비스 포기 옵션 사용 의도에 관한 효과에 대하여 두 가지 효과를 실증 분석하였다. 첫 번째는 이 두 변수간의 인과관계에 대한 조절변수로서 정보시스템 성숙도 변수의 영향을 살펴보았고, 두 번째는 이 두 변수간의 인과관계를 보다 상세히 설명하는 매개변수로서 클라우드 서비스 만족도의 영향도를 살펴보았다. 클라우드 서비스를 사용하는 중소기업들을 대상으로 실증 분석한 결과, 조절효과 및 매개효과 모두 부분적으로만 유효한 결과가 발견되었다. 특히, 클라우드 사업자와의 관계에 대한 위험의 영향에 대한 조절효과와 매개효과가 모두 유효하게 검증되어, 이 위험의 위협을 줄이기 위한 포기옵션의 매력도가 언제 그리고 왜 매력적인지를 이해하게 되었다.

• 한국BIM학회 논문집
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• 제9권2호
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• pp.29-44
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• 2019

This paper is to explore examples of complementary use of digital and physical models. The reason for this is to suggest a method for commercializing architectural design considering high technology. These cases are the practical and educational environment in which design processes based on digital computation technology are performed. Also, in this environment, analog design media (eg, physical models) still being used in the design process using digital computing. Indeed, in this environment, designers are exploiting digital and physical models to address the types of risks that can be discovered when designs are implemented and these risks. By analyzing these cases, we define the roles of digital and physical models to visualize and resolve risks. This paper focuses on one of method as "prototyping", which is used in the field of machinery and is a difficult method to carry out in the conventional design process. In particular, designers look for benefits that encourage designers in utilizing current digital computation technologies (eg, parametric design, simulation, building information models, and digital fabrication). Among the roles of the physical model, roles that can not be replaced by the digital model are explored. It is clear that this case-based study has difficulty in generalizing the design method. However, it helps the designers of today's practical and educational environment to verify and design the actual details of construction and operation when applying and developing unfamiliar materials and methods in the field of architecture.

• 한국환경과학회지
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• 제30권7호
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• pp.573-584
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• 2021

To analyze the effects of PM₁₀ and PM_2.5 on daily mortality cases, the relations of death counts from natural causes, respiratory diseases, and cardiovascular diseases with PM₁₀ and PM_2.5 concentrations were applied to the generalized additive model (GAM) in this study. From the coefficients of the GAM model, the excessive mortality risks due to an increase of 10 ㎍/m³ in daily mean PM₁₀ and PM_2.5 for each cause were calculated. The excessive risks of deaths from natural causes, respiratory diseases, and cardiovascular diseases were 0.64%, 1.69%, and 1.16%, respectively, owing to PM₁₀ increase and 0.42%, 2.80%, and 0.91%, respectively, owing to PM_2.5 increase. Our result showed that particulate matter posed a greater risk of death from respiratory diseases and is consistent with the cases in Europe and China. The regional distribution of excessive risk of death is 0.24%-0.81%, 0.34%-2.6%, and 0.62%-1.94% from natural causes, respiratory diseases, and cardiovascular diseases, respectively, owing to PM₁₀ increase, and 0.14%-1.02%, 1.07%-3.92%, and 0.22%-1.73% from natural causes, respiratory diseases, and cardiovascular diseases, respectively, owing to PM_2.5 increase. Our results represented a different aspect from the regional concentration distributions. Thus, we saw that the concentration distributions of air pollutants differ from the affected areas and identified the need for a policy to reduce damage rather than reduce concentrations.

• 한국프랜차이즈경영연구
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• 제13권4호
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• pp.39-48
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• 2022

Purpose: COVID-19 has negatively influenced the financial performance of restaurant firms. Previous literature suggests that the franchising strategy effectively helps restaurant firms recover from difficult business conditions through various methods for expanding business size and enhancing business efficiency. According to risk-sharing theory, restaurant franchisors may minimize operational risks by sharing the risks with their franchisees. For instance, restaurant franchisors could generate more stable cash flow using franchise fees from their franchisees. However, research on the effect of franchise's risk reduction factor on business performance during pandemic is scarce. Thus, this study aims to examine the positive moderating effect of franchising between COVID-19 and restaurants' financial performance. Research design, data, and methodology: Panel data including financial information and franchising status of restaurant firms were collected for analysis. In order to control for unobserved firm-specific factors, generalized least squared estimation in fixed effects model was conducted. Huber-White robust standard errors were used to deal with heteroscedasticity issues. Results: It was found that COVID-19 pandemic has a negative effect on the restaurants' financial performance such as ROA (return on assets), ROE (return on equity), and PM (profit margins), which confirms the findings from existing literature. More importantly, results show that the degree of franchising has a positive moderating effect on the relationship between COVID-19 and financial performance of restaurant firms. This suggests that more active engagement in franchising may decrease negative impacts of COVID-19 on the restaurants' financial performance. Conclusions: The study supports existing literature related to risk-sharing theory, by confirming that pandemics, such as COVID-19, negatively affect financial performance of the restaurants. Furthermore, it was found that franchising strategy can help lessen negative impacts of pandemics on the firm performance. These findings can contribute to the franchise and restaurant management literature by suggesting the role of franchising in reducing business risks, thereby positively affecting financial performance. Moreover, this study offers business managers of franchisors and franchisees insights for utilizing franchising in restaurant risk management. Policymakers may also gain information on aiding restaurant firms during global crisis, such as COVID-19.

• 지능정보연구
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• 제28권4호
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• pp.287-308
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• 2022

최근 비트코인을 필두로한 암호화폐의 폭발적인 성장이 금융 시장의 주요 이슈로 떠오르고 있다. 이에 전 세계적인 암호화폐 투자의 관심이 증가하고 있지만, 24시간 365일 운영되는 시장과 가격 변동성, 그리고 기하 급수적으로 증가하고 있는 암호화폐 종류는 암호화폐 투자자들에게 리스크로 제공되고 있어, 특히 암호화폐 포트폴리오를 구상하는데 있어 추천에 적합하지 않는 암호화폐들을 구분하여 투자자들의 리스크를 감소시킬 수 있는 연구의 필요성이 제기되고 있다. 이에 본 논문은 기존에 있었던 단순히 암호화폐 가격의 미래를 예측하여 수익률을 극대화 하거나, 수익률에 초점을 맞추어 암호화폐 포트폴리오를 구성하는 연구들과 달리, 투자자들의 성향을 반영하고, 투자에 적합한 암호화폐를 머신러닝 기법 중 하나인 Apriori 알고리즘을 활용하여 추천하되, 추천에 적합한 알트코인들을 비트코인의 유사도와 연관규칙을 중심으로 선별하여, 투자자들의 리스크를 감소시킬 수 있는 적합한 추천 방식과 해석을 제시한다.