• The Journal of Information Systems
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• v.26 no.3
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• pp.171-185
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• 2017

Purpose Recently, there has been an increase in attempts to analyze social phenomena, consumption trends, and consumption behavior through a vast amount of customer data such as web search traffic information and social buzz information in various fields such as flu prediction and real estate price prediction. Internet portal service providers such as google and naver are disclosing web search traffic information of online users as services such as google trends and naver trends. Academic and industry are paying attention to research on information search behavior and utilization of online users based on the web search traffic information. Although there are many studies predicting social phenomena, consumption trends, political polls, etc. based on web search traffic information, it is hard to find the research to explain and predict tourism demand and establish tourism policy using it. In this study, we try to use web search traffic information to explain the tourism demand for major cities in Gangwon-do, the representative tourist area in Korea, and to develop a nowcasting model for the demand. Design/methodology/approach In the first step, the literature review on travel demand and web search traffic was conducted in parallel in two directions. In the second stage, we conducted a qualitative research to confirm the information retrieval behavior of the traveler. In the next step, we extracted the representative tourist cities of Gangwon-do and confirmed which keywords were used for the search. In the fourth step, we collected tourist demand data to be used as a dependent variable and collected web search traffic information of each keyword to be used as an independent variable. In the fifth step, we set up a time series benchmark model, and added the web search traffic information to this model to confirm whether the prediction model improved. In the last stage, we analyze the prediction models that are finally selected as optimal and confirm whether the influence of the keywords on the prediction of travel demand. Findings This study has developed a tourism demand forecasting model of Gangwon-do, a representative tourist destination in Korea, by expanding and applying web search traffic information to tourism demand forecasting. We compared the existing time series model with the benchmarking model and confirmed the superiority of the proposed model. In addition, this study also confirms that web search traffic information has a positive correlation with travel demand and precedes it by one or two months, thereby asserting its suitability as a prediction model. Furthermore, by deriving search keywords that have a significant effect on tourism demand forecast for each city, representative characteristics of each region can be selected.

• Asia pacific journal of information systems
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• v.22 no.3
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• pp.53-74
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• 2012

A challenge in fostering virtual communities is the continuous supply of knowledge, namely members' willingness to contribute knowledge to their communities. Previous research argues that giving away knowledge eventually causes the possessors of that knowledge to lose their unique value to others, benefiting all except the contributor. Furthermore, communication within virtual communities involves a large number of participants with different social backgrounds and perspectives. The establishment of mutual understanding to comprehend conversations and foster knowledge contribution in virtual communities is inevitably more difficult than face-to-face communication in a small group. In spite of these arguments, evidence suggests that individuals in virtual communities do engage in social behaviors such as knowledge contribution. It is important to understand why individuals provide their valuable knowledge to other community members without a guarantee of returns. In virtual communities, knowledge is inherently rooted in individual members' experiences and expertise. This personal nature of knowledge requires social interactions between virtual community members for knowledge transfer. This study employs the social capital theory in order to account for interpersonal relationship factors and identity theory for individual and group factors that may affect knowledge contribution. First, social capital is the relationship capital which is embedded within the relationships among the participants in a network and available for use when it is needed. Social capital is a productive resource, facilitating individuals' actions for attainment. Nahapiet and Ghoshal (1997) identify three dimensions of social capital and explain theoretically how these dimensions affect the exchange of knowledge. Thus, social capital would be relevant to knowledge contribution in virtual communities. Second, existing research has addressed the importance of identity in facilitating knowledge contribution in a virtual context. Identity in virtual communities has been described as playing a vital role in the establishment of personal reputations and in the recognition of others. For instance, reputation systems that rate participants in terms of the quality of their contributions provide a readily available inventory of experts to knowledge seekers. Despite the growing interest in identities, however, there is little empirical research about how identities in the communities influence knowledge contribution. Therefore, the goal of this study is to better understand knowledge contribution by examining the roles of social capital and identity in virtual communities. Based on a theoretical framework of social capital and identity theory, we develop and test a theoretical model and evaluate our hypotheses. Specifically, we propose three variables such as cohesiveness, reciprocity, and commitment, referring to the social capital theory, as antecedents of knowledge contribution in virtual communities. We further posit that members with a strong identity (self-presentation and group identification) contribute more knowledge to virtual communities. We conducted a field study in order to validate our research model. We collected data from 192 members of virtual communities and used the PLS method to analyse the data. The tests of the measurement model confirm that our data set has appropriate discriminant and convergent validity. The results of testing the structural model show that cohesion, reciprocity, and self-presentation significantly influence knowledge contribution, while commitment and group identification do not significantly influence knowledge contribution. Our findings on cohesion and reciprocity are consistent with the previous literature. Contrary to our expectations, commitment did not significantly affect knowledge contribution in virtual communities. This result may be due to the fact that knowledge contribution was voluntary in the virtual communities in our sample. Another plausible explanation for this result may be the self-selection bias for the survey respondents, who are more likely to contribute their knowledge to virtual communities. The relationship between self-presentation and knowledge contribution was found to be significant in virtual communities, supporting the results of prior literature. Group identification did not significantly affect knowledge contribution in this study, inconsistent with the wealth of research that identifies group identification as an important factor for knowledge sharing. This conflicting result calls for future research that examines the role of group identification in knowledge contribution in virtual communities. This study makes a contribution to theory development in the area of knowledge management in general and virtual communities in particular. For practice, the results of this study identify the circumstances under which individual factors would be effective for motivating knowledge contribution to virtual communities.

• Proceedings of the Korean Institute of Interior Design Conference
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• 2001.05a
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• pp.106-111
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• 2001

Model house play an important role in the sale of apartments. However, model house can create social and environmental problems. Virtual reality's (VR) use for the creation of model house has been studied as a possible counter measure to these problems. Existing models don't satisfy consumers' queries. A virtual model house can give the experience of seeing a real home through simulation. Also, a virtual model house can allow a home buyer to change the furniture on display or the color of the walls to reflect the consumer's taste in the construction. The internal present condition system using absorption style virtual reality and open style virtual reality are the indispensable tools that are going to take the place of the current model home. A virtual model house is more profitable than a physical model house because of reduced costs and time savings. In addition, a virtual model house can offer new kinds of information that a physical model home can not. This study's purpose is to discuss the desired direction of the virtual model house in this crucial and dynamic period of development.

• Journal of the Korea Society of Computer and Information
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• v.25 no.10
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• pp.193-201
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• 2020

This study is to evaluate the effectiveness of problem-solving ability by applying a team-based learning model to the classes of humanities and social science students, and to conduct a structural model analysis on the relationship between sub-factors. Team-based learning was conducted six times in six teams with 30 students in the second and third grades of the humanities and social sciences. The problem solving ability score of the target students was significantly higher after team-based learning and was statistically significant. There was no problem in normality with the latent variables, which are the sub-factors of problem solving ability, and the factor load value was statistically significant at the .001 level in the confirmatory factor analysis of the observed variables for the latent variables, which was a valid model. A good level of fitness was also shown in the verification of the fitness of the research model. As a result, it was analyzed that latent variables of cause analysis, problem clarification, planning execution, performance evaluation, and alternative development had an indirect or direct influence on each other.

• Journal of Information Technology Services
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• v.19 no.4
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• pp.49-61
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• 2020

Prior studies on technology predictions attempted to predict the emergence and spread of emerging technologies through the analysis of correlations and changes between data using objective data such as patents and research papers. Most of the previous studies predicted future technologies only from the viewpoint of technology development. Therefore, this study intends to conduct technical forecasting from the perspective of the consumer by using keyword search frequency of search portals such as NAVER before and after the introduction of emerging technologies. In this study, we analyzed healthcare technologies into three types : measurement technology, platform technology, and remote service technology. And for the keyword analysis on the healthcare, we converted the classification of technology perspective into the keyword classification of consumer perspective. (Blood pressure and blood sugar, healthcare diagnosis, appointment and prescription, and remote diagnosis and prescription) Naver Trend is used to analyze keyword trends from a consumer perspective. We also used the ARIMA model as a technology prediction model. Analyzing the search frequency (Naver trend) over 44 months, the final ARIMA models that can predict three types of healthcare technology keyword trends were estimated as "ARIMA (1,2,1) (1,0,0)", "ARIMA (0,1,0) (1,0,0)", "ARIMA (1,1,0) (0,0,0)". In addition, it was confirmed that the values predicted by the time series prediction model and the actual values for 44 months were moving in almost similar patterns in all intervals. Therefore, we can confirm that this time series prediction model for healthcare technology is very suitable.

• Journal of the Korean School Mathematics Society
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• v.21 no.4
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• pp.377-400
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• 2018

With the rapid industrialization and the advent of the era of the Fourth Industrial Revolution, the importance of character education is on the rise. The purpose of this study is to develop the Instructional model that can make the school classroom as a democratic learning community based on general classes and naturally realize the character education in addition to the other subject-matter education. A draft of the instructional model was implemented to confirm that the factors of the character education in mathematics could be improved. The toughness index was measured by using the Character Scale for School Mathematics(CSSM) before and after implementation. Based on the results of the measurement, we completed a P (personal) instruction model and a S (social) instruction model that can enhance the factors of the character education in mathematics based on the democratic learning community through the advisory committee.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.338-344
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• 2016

The purpose of this study is to explore perceptions, knowledge, and attitudes about AIDS, and to analyze factors associated with social distance for people living with AIDS. Data was analyzed for 645 university students majoring in social work and nursing. The results show that AIDS was most frequently associated with the word sex. Secondly, participant knowledge about AIDS revealed common errors in the prevention and process of infection. Third, correlation between prejudice toward people living with AIDS and social minorities was statistically significant. Finally using hierarchical regression analysis, among factors affecting the social distance for people living with AIDS, only the prejudice toward people living with AIDS remained statistically significant. R Square of the entire model was adjusted to 0.390. In conclusion, the results of this study are expected to influence college education and program development.

• Journal of the Korean Geographical Society
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• v.48 no.3
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• pp.466-481
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• 2013

The purpose of this research is to propose a model for education for sustainable development (ESD) within the geography curriculum. The study consists of two parts. The first part discusses the normal view of a model to assess the curriculum, namely the content and the cognitive dimensions. The ESD component necessitates an action program with skills and citizenship considered as the Objective Dimension. The second part of the paper examines the means for adding the Objective Dimension which follows a taking action approach through knowledge, skills, and citizenship that are consistent with ESD goals. The research procedure applied the methodology of the Delphi process. The theoretical model was initially developed by the researchers based on current practices in geography assessment in South Korea and the U.S. The model was tested using the Delphi technique by high school geography teachers and geography education faculty members in both countries who were recognized experts in their field. The research complements the curriculum and instructional activities that have been under way with the United Nations Decade of Education for Sustainable Development (UNDESD). The model may be used to deliberate proposals for building an ESD component into existing assessment practices.

• Korean Journal of Community Nutrition
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• v.20 no.3
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• pp.165-177
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• 2015

Objectives: Based on individual and environmental characteristics of low-income children, we developed a nutrition education program for school-aged children from low-income families according to effective use in social welfare centers. Methods: We conducted in-depth group interviews to assess program needs in 28 participants, 10 low-income school-aged children and 9 of their care givers, 9 social workers and 9 care-givers. Theoretical backgrounds of our program were heath belief model and social cognitive theory considering motivation, action and environment characteristics. Results: Based on the findings of this qualitative study, we developed major program themes and contents. Five selected key themes were 'balanced diet', 'processed food', 'food hygiene and safety', 'Korean healthy traditional diet', and 'family cooking' to induce changes in dietary behaviors. Main findings of in-depth group interviews included 'child's active participation', 'simple and easy to understand messages', and 'environmental constraints' such as a lack of child care at home, limited budget of social welfare centers, and less qualified educators for nutrition and health. Each lesson was constructed as a 1-hour program particularly emphasizing activity-based programs, including cooking and teamwork exercises. Program contents in each session consisted of activities that could induce outcome and value expectations, self-efficacy, perceived benefits, and barriers and cues to actions regarding diet behavior. Conclusions: We developed a nutrition education programthat is rarely available for low-income children in Korea, considering theoretical bases. Further studies are needed to validate our program.

• Knowledge Management Research
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• v.23 no.4
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• pp.275-294
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• 2022

In recent years, with the continuous integrative development of e-commerce and social media, social commerce, as a trust-centered social transaction mode, has become an important performance form of e-commerce. The good experience of online community and abundant user-generated content (UGC) attract more and more users and businesses to participate in the community contribution. In this context, the cost of accessing information is continuously decreasing, which not only makes the purchase process more concise and efficient, but also greatly increases the possibility of consumers' impulsive consumption. However, there are very few empirical studies on the internal influencing mechanism of consumers' impulsive consumption based on the characteristics of UGC for social commerce. In view of this, based on S-O-R model, this study constructs a model of consumers' impulsive consumption in the context of social commerce from the characteristics of UGC, with perceived risk as the mediating variable and tie strength as the moderating variable. The results show that content authenticity, content usefulness, and content valence of UGC have significant negative impacts on consumers' risk perception in the process of purchase decision-making, and consumers' perceived risk has a significant negative impact on consumers' impulsive consumption. Meanwhile, the tie strength between UGC producer and UGC receiver plays a moderating role between content usefulness and perceived risk, as well as between perceived risk and impulsive consumption. Finally, combined with the above findings, this study provides effective suggestions for relevant participants in social commerce in terms of business management.