• Journal of the Korea Society of Computer and Information
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• v.14 no.10
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• pp.175-187
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• 2009

This paper shows trends in domestic and foreign web accessibility. To disclose the web accessibility observance rate, seven central adminstration institutions and another seven north-eastern cities in Gyeong gi-Do and seven major IT companies were evaluated. KADO-WAH 2.0 was used for showing the observance rate. The evaluation criteria was that of Internet Web contents accessibility Guidelines 1.0. The evaluation was limited to Guideline 1 and Guideline 2 of non-text contents and the restricted frame usage and the keyboard-only operation. The average points for three items are as follows: 65.56% for North-Eastern cities in Gyeong gi-Do and 43.71% for Central adminstration institutions and the average 29.33% for major IT companies. The observance rate was highest by 99.3% in Human-rights committee among the central administration institutions. With the observance rate of 98%, Namyang-ju city came first in Gyeong gi-Do area. Samsung electronics was the highest with 63.66% in observance rate. The Central adminstration got lowered from the average 82.14% in 2006 to the average 54.28% in 2009, with the result of 27.86% down. Accordingly, the urgent improvement for Central adminstration and Local adminstration in web accessibility is asked for. The same is true with major IT companies in web accessibility.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.171-173
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• 2022

The 4th industrial revolution technology is developing people's lives more efficiently. GIS provided on the Internet services such as traffic information and time information makes people getting more quickly to destination. National geographic information service(NGIS) and each local government are making basic data to investigate SOC accessibility for analyzing optimal point. To construct the shortest distance, the accessibility from the starting point to the arrival point is analyzed. Applying road network map, the starting point and the ending point, the shortest distance, the optimal accessibility is calculated by using Dijkstra algorithm. The analysis information from multiple starting points to multiple destinations was required more than 3 steps of manual analysis to decide the position for the optimal point, within about 0.1% error. It took more time to process the many-to-many (M×N) calculation, requiring at least 32G memory specification of the computer. If an optimal proximity analysis service is provided at a desired location more versatile, it is possible to efficiently analyze locations that are vulnerable to business start-up and living facilities access, and facility selection for the public.

• Asia Marketing Journal
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• v.9 no.2
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• pp.97-129
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• 2007

The critical link between consumer-based internet ordering and the delivery of the product to the consumer is a key success factor in online shopping. Market areas of online shopping company implies the range of space where products ordered from online shopping can be physically delivered to customers distributed over space with reasonable shipping cost and lead time through the physical distribution network. The average rate of growth in online shopping is 36% per year in Korea for the last 5 years. But there are no maps available that describe sales/delivery density of online shopping, few researches are focused on the short-term/long-term adaptation to demand increase by online shopping. In this paper (1) Maps of trade area are described indicating the sales/delivery density around the nation. (2) Empirical researches suggested that short-term adaptation to demand increase resulted in price reduction and service in enhancement of service quality in local transportation. But the long-term adaptation on the parts of parcel delivery industry are to be investigated in future researches.

• Korean Journal of Culture and Social Issue
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• v.8 no.1
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• pp.165-187
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• 2002

This study examines Korean representation of the biotechnology and psychological factors which can influence lay people's perception and attitude about biotechnology. Korean college students(N=433) and lay adults(N=90) whom had college education participated in the study. Participants of the study 1 were asked to list words which comes to mind when associate with the biotechnology in broad sense, and several specific applications in health, medicines, agriculture and research. Participants of the study 2 were asked to list possible benefits and costs of biotechnology and their specific applications. In study 3, Participants responded the questionnaires about perceptions and attitudes of biotechnology. Korean people associated the biotechnology with its costs or risks and benefits. Korean college students mainly got the informations of the biotechnology from TV, newspapers, or internet. They trusted the scientist group and NGO group on their judgements about the assessment of risk and benefit of the biotechnology. College students showed the positive attitude with the applications in medicines and negative attitude with the applications in agriculture and public using of individual's genetic information. The radicalism, sensitivity in behavioral activation system, and trust/cynicism were to be found as a significant influencing factor for interest/knowledge and behavioral intention in related with biotechnology. Finally, more extensive knowledge of biotechnology did not lead to greater acceptance of it.

• Korean Journal of Culture and Social Issue
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• v.12 no.2
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• pp.45-76
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• 2006

This article compares the psychological and behavioral profiles of adolescents on probation and high school students. A total of 253 adolescents on probation and 257 high school students completed an open-ended questionnaire developed by the present researchers and structured questionnaire that assessed moral disengagement and self-efficacy developed by Bandura (1995), delinquent behavior and academic achievement. Adolescents on probation reported that they engaged in delinquent behavior due to the fault of others and they were angry for being forced to be on probation. They are not likely to take responsibility and morally disengage from their delinquent actions. When compared to high school students, adolescents on probation are likely to report low self-efficacy, low academic grade, and less likely to feel proud of themselves. They are more likely to meet their friends in Internet and video game rooms and less likely to focus on academic achievement. Results of ANCOVA indicate that adolescents on probation have higher scores on moral disengagement, social efficacy, but lower score on efficacy for self-regulated learning. They are more likely to run away from home and have lower academic grade. The results of the discriminant analysis indicate that running away from home, social efficacy and moral disengagement are predictive of adolescents on probation and academic achievement and efficacy for self-regulated learning are predictive of high school students.

• Information Systems Review
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• v.19 no.3
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• pp.155-177
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• 2017

The purpose of this study is to investigate those factors that are influenced when a user recognizes his/her private information value as an economic asset. The relationship among these factors will also be discussed. This research targets Internet users, and the value of their private information will be converted into economic figures. How economic value changes in relation with individual attributes, dealer's traits, and circumstantial properties will also be studied. The changes in the factors of private information value under different situations will be analyzed from an economic perspective. By using the cost-benefit analysis framework, this work hypothesizes that the user's private information value can be influenced by individual attributes and situational properties. in the business aspect, this study can help users recognize the true value of their personal information and minimize the cost resulting from private information security incidents. This work also highlights the necessity of estimating the scale of investments for protecting private information. Overall, this research will proceed under the hypothesis that the users' recognition of their private information value is influenced by the attributes of the individual, dealers, or situations.

• Information Systems Review
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• v.20 no.1
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• pp.159-177
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• 2018

With an extensive proliferation of information and communication technology, the volume and amount of digital information collected and utilized on the Internet have been increasing rapidly. Also on the rapid rise are side effects such as unintended breach of accumulated personal information and consequent invasion of personal privacy. Informational self-determination is rarely practiced, despite various states' legal efforts to redress data subjects' damage. Personal health information, in particular, is a subcategory of personal information where informational self-determination is hardly practiced enough. The observation is contrasted with the socio-economic inconvenience that may follow due to its sensitive nature containing individuals' physical and health conditions. This research, therefore, reviews factors of self-determination on personal health information while referring to the protection motivation theory (PMT), the long-time framework to understand personal information protection. Empirical analysis of 200 data surveyed reveals threat-appraisal (perceived vulnerability and perceived severity of threats) and coping-appraisal (perceived response effectiveness), in addition to individual levels of concern regarding provided personal health information, influence self-determination to protect personal health information. The research proposes theoretical findings and practical suggestions along with reference for future research topics.

• Information Systems Review
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• v.19 no.1
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• pp.75-100
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• 2017

Today, firms are constantly transforming and innovating to survive under the rapidly changing business environment. The introduction of cloud computing services has become popular throughout society as a whole and is expected to result in many changes and developments not only in firms and but also in the public sector subject to innovation. The purpose of this study is to investigate the effect of the characteristics of cloud computing services on the perceived expected performance according to innovativeness based on innovation diffusion theory. The results of the analysis of the data collected from this research are as follows. The convenience and understanding of individuals' work as well as the benefits of cloud computing services to them depend on the innovative trend of cloud computing services. Further, the expectations for personal benefit and those for organizational benefit of cloud computing services are different from each other. Leading firms in the global market have been actively engaged in the utilization of cloud computing services in the public sector as well as in private firms. In consideration of the importance of cloud computing services, using cloud computing services as the target of innovation diffusion research is important. The results of the study are expected to contribute to developing future research models for the diffusion of new technologies, such as big data, digital convergence, and Internet of Things.

• Informatization Policy
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• v.31 no.2
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• pp.82-104
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• 2024

Smart home services are growing rapidly as the development of the Internet of Things (IoT) opens the era of the so-called "Connected Living." Although personal information leaks through smart home cameras are increasing, however, users-while concerned-tend to take passive measures to protect their personal information. This study theoretically explained and verified how to design effective software update notification messages for smart home cameras to ensure that users comply with the recommended security behavior (i.e., update installation). In a survey experiment participated in by 120 actual users, the effectiveness of both emotional appeals (i.e., security breach warning images for fear appeals) and rational appeals (i.e., loss-framed messages emphasizing the negative consequences of not installing the updates) were confirmed. The results of this study provide theoretical interpretations and practical guidelines on the message design features that are effective for threat appraisals (i.e., severity, vulnerability) of smart home camera users and their protection motivation.

• Journal of Internet Computing and Services
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• v.14 no.5
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• pp.69-76
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• 2013

The incidence of globally infectious and pathogenic diseases such as H1N1 (swine flu) and Avian Influenza (AI) has recently increased. An infectious disease is a pathogen-caused disease, which can be passed from the infected person to the susceptible host. Pathogens of infectious diseases, which are bacillus, spirochaeta, rickettsia, virus, fungus, and parasite, etc., cause various symptoms such as respiratory disease, gastrointestinal disease, liver disease, and acute febrile illness. They can be spread through various means such as food, water, insect, breathing and contact with other persons. Recently, most countries around the world use a mathematical model to predict and prepare for the spread of infectious diseases. In a modern society, however, infectious diseases are spread in a fast and complicated manner because of rapid development of transportation (both ground and underground). Therefore, we do not have enough time to predict the fast spreading and complicated infectious diseases. Therefore, new system, which can prevent the spread of infectious diseases by predicting its pathway, needs to be developed. In this study, to solve this kind of problem, an integrated monitoring system, which can track and predict the pathway of infectious diseases for its realtime monitoring and control, is developed. This system is implemented based on the conventional mathematical model called by 'Susceptible-Infectious-Recovered (SIR) Model.' The proposed model has characteristics that both inter- and intra-city modes of transportation to express interpersonal contact (i.e., migration flow) are considered. They include the means of transportation such as bus, train, car and airplane. Also, modified real data according to the geographical characteristics of Korea are employed to reflect realistic circumstances of possible disease spreading in Korea. We can predict where and when vaccination needs to be performed by parameters control in this model. The simulation includes several assumptions and scenarios. Using the data of Statistics Korea, five major cities, which are assumed to have the most population migration have been chosen; Seoul, Incheon (Incheon International Airport), Gangneung, Pyeongchang and Wonju. It was assumed that the cities were connected in one network, and infectious disease was spread through denoted transportation methods only. In terms of traffic volume, daily traffic volume was obtained from Korean Statistical Information Service (KOSIS). In addition, the population of each city was acquired from Statistics Korea. Moreover, data on H1N1 (swine flu) were provided by Korea Centers for Disease Control and Prevention, and air transport statistics were obtained from Aeronautical Information Portal System. As mentioned above, daily traffic volume, population statistics, H1N1 (swine flu) and air transport statistics data have been adjusted in consideration of the current conditions in Korea and several realistic assumptions and scenarios. Three scenarios (occurrence of H1N1 in Incheon International Airport, not-vaccinated in all cities and vaccinated in Seoul and Pyeongchang respectively) were simulated, and the number of days taken for the number of the infected to reach its peak and proportion of Infectious (I) were compared. According to the simulation, the number of days was the fastest in Seoul with 37 days and the slowest in Pyeongchang with 43 days when vaccination was not considered. In terms of the proportion of I, Seoul was the highest while Pyeongchang was the lowest. When they were vaccinated in Seoul, the number of days taken for the number of the infected to reach at its peak was the fastest in Seoul with 37 days and the slowest in Pyeongchang with 43 days. In terms of the proportion of I, Gangneung was the highest while Pyeongchang was the lowest. When they were vaccinated in Pyeongchang, the number of days was the fastest in Seoul with 37 days and the slowest in Pyeongchang with 43 days. In terms of the proportion of I, Gangneung was the highest while Pyeongchang was the lowest. Based on the results above, it has been confirmed that H1N1, upon the first occurrence, is proportionally spread by the traffic volume in each city. Because the infection pathway is different by the traffic volume in each city, therefore, it is possible to come up with a preventive measurement against infectious disease by tracking and predicting its pathway through the analysis of traffic volume.