• Knowledge Management Research
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• v.15 no.3
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• pp.141-168
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• 2014

Purchasing through Internet shopping mall has more uncertainty compared with offline shopping mall. Previous studies have presented that trust plays a role of reducing uncertainty and increasing purchasing intention. In this study, we suggest that third-party assurance and word-of-mouth contribute to the formation of trust. In addition, we also propose that ease of product evaluation plays moderating roles in the relationships between third-party assurance, word-of-mouth and trust. For this study, we collected sample data from two groups consisting of online shoppers purchasing the search goods and experience goods categorized by type of ease of product evaluation. Empirical results show that word-of-mouth and third-party assurance have different effects on trust in two groups. The third-party assurance has a stronger impact on trust in online shopping group of the search goods than in the experience goods, while word-of-mouth in the online community has a stronger impact on trust in online shopping group of the experience goods than in the search goods. We expect that this result will provide researchers and managers who are interested in trust formation factors in online shopping mall with useful theoretical and practical implications.

• Research in Community and Public Health Nursing
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• v.21 no.4
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• pp.512-521
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• 2010

Purpose: The remarkable progress in information and communication technology has had a great effect on the healthcare delivery system. The development of smart phone applications is a new field. The aim of our research was to provide assistance in developing smart phone applications for community health nursing. Methods: Based on an informative approach, this study developed persona and site maps, followed by a storyboard as a way of analyzing users' requirements and designing responses in the context of smart phone application development methodology. Results: We developed persona, user interface and database design successfully, and then seven nurses selected four nursing problems (income, residence, pain, and digestion hydration). The search time in seconds for the 2005 English OMAHA guidelines to find three nursing interventions for these problems was used to evaluate the effectiveness of the smart phone application. The results showed that smart phone applications' search was 21 times faster on the average than book guidelines. Conclusion: An English version of the OMAHA system application was developed for the Android smart phone market. It is hoped that smart phone applications such as this will be used internationally for nursing education.

• Healthcare Informatics Research
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• v.24 no.4
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• pp.300-308
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• 2018

Objectives: Prompt detection is a cornerstone in the control and prevention of infectious diseases. The Integrated Disease Surveillance Project of India identifies outbreaks, but it does not exactly predict outbreaks. This study was conducted to assess temporal correlation between Google Trends and Integrated Disease Surveillance Programme (IDSP) data and to determine the feasibility of using Google Trends for the prediction of outbreaks or epidemics. Methods: The Google search queries related to malaria, dengue fever, chikungunya, and enteric fever for Chandigarh union territory and Haryana state of India in 2016 were extracted and compared with presumptive form data of the IDSP. Spearman correlation and scatter plots were used to depict the statistical relationship between the two datasets. Time trend plots were constructed to assess the correlation between Google search trends and disease notification under the IDSP. Results: Temporal correlation was observed between the IDSP reporting and Google search trends. Time series analysis of the Google Trends showed strong correlation with the IDSP data with a lag of -2 to -3 weeks for chikungunya and dengue fever in Chandigarh (r > 0.80) and Haryana (r > 0.70). Malaria and enteric fever showed a lag period of -2 to -3 weeks with moderate correlation. Conclusions: Similar results were obtained when applying the results of previous studies to specific diseases, and it is considered that many other diseases should be studied at the national and sub-national levels.

• Journal of Agricultural Extension & Community Development
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• v.14 no.2
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• pp.395-415
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• 2007

The purposes of this study were to investigate the realities of community participation of young farmers and to suggest measures to activate community participation. The data were collected from 234 young farmers from rural Korea. With SPSS 13.0 program for Windows, Frequency, t-test, ANOVA, LSD for post-hoc interpretation and Factor Analysis were employed to analyze the data with statistical significance level of .05. The main results of the study and suggestions were as follows: 1) Young farmers were more likely to participate in watching television on community, discussion with others and internet search for community, while, rural youths were less likely to participate in contacting government and parliament. 2) Difficulties of community participations of young farmers were lack of time and insufficient information about participatory activities. The study suggested that young farmers should get more opportunities to participate in diverse types of active opportunities and practical information.

• Journal of KIISE
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• v.41 no.12
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• pp.1058-1065
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• 2014

In order to assist user's who are in the process of executing a search, a query expansion method suggests keywords that are related to an input query. Recently, several studies have suggested keywords that are identified by finding domains using a clustering method over the documents that are retrieved. However, the clustering method is not relevant when presenting various domains because the number of clusters should be fixed. This paper proposes a method that suggests keywords by finding various domains related to the input queries by using a community detection algorithm. The proposed method extracts words from the top-30 documents of those that are retrieved and builds communities according to the word graph. Then, keywords representing each community are derived, and the represented keywords are used for the query expansion method. In order to evaluate the proposed method, we compared our results to those of two baseline searches performed by the Google search engine and keyword recommendation using TF-IDF in the search results. The results of the evaluation indicate that the proposed method outperforms the baseline with respect to diversity.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.19-36
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• 2011

Since the ambitious declaration of the vision of the Semantic Web, a growing number of studies on semantic search have recently been made. However, we recognize that our community has not so much accomplished despite those efforts. We analyze two underlying problems : a lack of a shared notion of semantic search that guides current research, and a lack of a comprehensive view that envisions future work. Based on this diagnosis, we start by defining semantic search as the process of retrieving desired information in response to user's input using semantic technologies such as ontologies. Then, we propose a classification framework in order for the community to obtain the better understanding of semantic search. The proposed classification framework consists of input processing, target source, search methodology, results ranking, and output data type. Last, we apply our proposed framework to prior studies and suggest future research directions.

• Journal of the Korean Society for information Management
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• v.36 no.4
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• pp.161-181
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• 2019

People begin to recognize sexual orientation or gender identity in adolescence, and adolescents frequently use an accessible and anonymous anonymity knowledge retrieval community to explore sensitive health information about gender. This study attempted to observe their information search behavior based on questions and answers about adolescents' gender identity in the knowledge retrieval community. First, we wanted to examine their information needs and to investigate what factors they preferred to answer by comparing the characteristics of the answers adopted with the non-adopted answers among the answers provided in the questions they shared. To this end, Naver, Korea's representative knowledge search community. In Knowledge-iN, a total of 358 sets of data were analyzed, consisting of responses adopted over three years from January 2016 to December 2018. As a result, adolescents with concerns about gender identity demanded information about definition or confusion about gender identity. In the responses adopted by the users, the factors that gave empathy and positive feelings were higher than those that were not adopted, whereas the negative responses were higher in the unaccepted answers. This study is meaningful in that it analyzes the information needs and information search behaviors of adolescents with no established gender identity, expands the discussion in the information search field, and confirms cognitive and emotional models for information evaluation of health information users. Also, based on the research results, we propose practical implications for effective information services on gender identity that social media should provide to young people.

• Proceedings of the Technology Innovation Conference
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• 1999.12a
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• pp.255-278
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• 1999

R&D association is a very important institution to promote inter-firm technological cooperation, In Korea, they have begun to be established in 1982, and at now 56 R&D associations are working. The purpose of this study is In analyze the problems of the R&D associations, and to suggest a new direction of their future development Their problems were analyzed from the perspective of cooperative R&D mechanisms, especially with a new concept of R&D community : search community, planning community, community of research itself. This study emphases the importance of the R&D association's role as a planning community, and the institutional linkage between R&D association and National R&D program through the introduction of design-in planning system.

• Korean System Dynamics Review
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• v.17 no.2
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• pp.57-79
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• 2016

This study aims to examine the dynamics of the variables related to the program management of Community Child Centers in Daegu metropolitan area and further search for the measures to activate its development based on the Systems Thinking. For these purposes, the study deals with the followings. Firstly, it overviews the legal bases of the Community Child Centers and its present condition and further reviews the relevant studies. Secondly, it summarizes its methodologies. Thirdly, based on the results of the questionnaire and interviews, it draws the major variables to understand its program management and analyzes its causal feedback structure and dynamics. Lastly, it concludes with the measures to activate its program management. This study is expected to make a useful resource to dynamically understand the program management issue of the Community Child Centers in Korea.

• Journal of KIISE:Computer Systems and Theory
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• v.37 no.1
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• pp.27-34
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• 2010

Web crawlers are fundamental programs which iteratively download web pages by following links of web pages starting from a small set of initial URLs. Previously several web crawling orderings have been proposed to crawl popular web pages in preference to other pages, but some graph search techniques whose characteristics and efficient implementations had been studied in graph theory community have not been applied yet for web crawling orderings. In this paper we consider various graph search techniques including lexicographic breadth-first search, lexicographic depth-first search and maximum cardinality search as well as well-known breadth-first search and depth-first search, and then choose effective web crawling orderings which have linear time complexity and crawl popular pages early. Especially, for maximum cardinality search and lexicographic breadth-first search whose implementations are non-trivial, we propose linear-time web crawling orderings by applying the partition refinement method. Experimental results show that maximum cardinality search has desirable properties in both time complexity and the quality of crawled pages.