• The Korean Journal of Health Service Management
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• v.4 no.2
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• pp.85-95
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• 2010

This study was to understand perception level and education need on hospice, and to development effective education contents of hospice for medical students. Descriptive survey research design was used. Participants were 426 and the data collecting period was from July. 22. to July. 29. in 2008. The data were analyzed using descriptive analysis, chi-square test, Wilcoxon's signed rank test. The participants experiencing in hospice education program demonstrated higher perception level and education need about hospice than non-participants. Also, The participants experiencing in hospice education showed more concerning on effective education contents of hospice than non-participants. Therefore, hospice education program must be prepared in a continual and systematic way in order to provide for effective education of medical students in Korea.

• Journal of information and communication convergence engineering
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• v.9 no.1
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• pp.64-68
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• 2011

On the limited urban area, precise measurement of meteorological data is not easy for the cost problem. The facilities collecting the data require high installment costs. The mobile sources can be a solution in city region. For example, a public bus on which some meteorological sensors are installed can act as moving information gathering station. The information is gathered on a server and aggregated to generate useful information for smart phone application. To implement the services, several obstacles are exists. This paper studies on a design of this mobile meteorological information service system for urban area.

• Spatial Information Research
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• v.22 no.6
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• pp.13-21
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• 2014

This study defines concept and service framework of Geo-Spatial Big Data(GSBD). The major concept of the GSBD is formulated based on the 7V characteristics: the general characteristics of big data with 3V(Volume, Variety, Velocity); Geo-spatial oriented characteristics with 4V(Veracity, Visualization, Versatile, Value). GSBD is the technology to extract meaningful information from Geo-spatial fusion data and support decision making responding with rapidly changing activities by analysing with almost realtime solutions while efficiently collecting, storing and managing structured, semi-structured or unstructured big data. The application area of the GSBD is segmented in terms of technical aspect(store, manage, analyze and service) and public/private area. The service framework for the GSBD composed of modules to manage, contain and monitor GSBD services is suggested. Such additional studies as building specific application service models and formulating service delivery strategies for the GSBD are required based on the services framework.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.3
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• pp.347-370
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• 2022

Most public library websites provide unstructured cultural program data, which cannot be produced and utilized systematically as bibliographic information. It is not sufficiently used in existing library big data research or cases, and there is a risk of disappearing when the website is reorganized or the person in charge is changed. This study developed a data schema that can be used in conjunction with bibliographic data by collecting and analyzing cultural programs and community service data produced in an unstructured manner and proposed to share and utilize public library cultural programs and community service data, and establish a library big data platform that can serve as an information channel between librarians who are cultural program planners. Library program data posted on the library website can be integrated and managed through the platform, securing continuity of work, and systematically managing and preserving the specialized service history of individual libraries.

• Culinary science and hospitality research
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• v.23 no.4
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• pp.22-32
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• 2017

The purpose of this study was to explore awareness of food tourism using big data analysis. For this, this study collected data containing 'food tourism' keywords from google web search, google news, and google scholar during one year from January 1 to December 31, 2016. Data were collected by using SCTM (Smart Crawling & Text Mining), a data collecting and processing program. From those data, degree centrality and eigenvector centrality were analyzed by utilizing packaged NetDraw along with UCINET 6. The result showed that the web visibility of 'core service' and 'social marketing' was high. In addition, the web visibility was also high for destination, such as rural, place, ireland and heritage; 'socioeconomic circumstance' related words, such as economy, region, public, policy, and industry. Convergence of iterated correlations showed 4 clustered named 'core service', 'social marketing', 'destinations' and 'social environment'. It is expected that this diagnosis on food tourism according to changes in international business environment by using these web information will be a foundation of baseline data useful for establishing food tourism marketing strategies.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.21-23
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• 2019

5G 기반의 스마트시티 서비스 데이터 수집 및 공유 시스템은 5G 융합서비스 플랫폼의 시스템컴포넌트로 설계 및 개발된 시스템이다. 본 시스템은 크게 데이터 수집 서브시스템, 데이터베이스 서브시스템, 및 데이터 공유 서브시스템 세 서브시스템으로 이루어져 있으며, 범용성, 확장성, 유연성 및 개방성에 중점을 두고 설계 및 개발되었다.

• Journal of Distribution Science
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• v.14 no.6
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• pp.27-37
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• 2016

Purpose - This study aims to suggest a developmental direction to small enterprisers who start their business. The developmental direction makes the small enterprisers more stable with providing the Business District Information System service, which offers the location and business area's information aimed at pre-enterprisers after analyzing its overcrowded index's current state and problems. Research design, data, and methodology - This research proposes the developmental direction for helping the pre-small enterprisers to have more stability through examining the Business District Information System's-operated by Small Enterprise and Market Service-overcrowded index's current state and problems. Results - This system has drawbacks about giving the start-up overcrowded index as follows: ① non-accurate consultative group for sharing the DB ② providing analysis information, not evaluation information ③ not to anticipate the changes of business types & the flow of business district and perceive the symptom data with providing predictive information. Conclusions - This system should be more publicized through the mass media for making it approachable with collecting the user's opinion and investigating customer satisfaction & the level of awareness.

• Journal of Distribution Science
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• v.12 no.4
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• pp.73-83
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• 2014

Purpose - This study aims to classify and extend the consumer value of movie theaters into various values such as functional value, emotional value, social value, epistemic value, and conditional value based on the theory of consumption value by Sheth, Newman and Gross (1991). It also aims to verify the path structure of consumption value→customer satisfaction→behavior intention of movie theaters to confirm its generalization. Research design, data, and methodology - This study was conducted by collecting data on Kimpo university students from various areas in Incheon, Northern Seoul, Ilsan, Kyonggi Province, and Kimpo City. The survey was conducted by distributing 280 survey papers from Oct. 5 to 15, 2013 and collecting 238 of them. The final analysis used 208 questionnaires, after excluding 30 invalid responses. The statistical analysis of this study used the SPSS 19.0 statistics package. Results - The results of the survey are as follows: First, consumption values of movie theaters are classified into the following five groups: functional value, emotional value, social value, epistemic value, and conditional value. This study verified that consumption values play a role as a previous variable of customer satisfaction. Second, functional value, emotional value, and epistemic value have positive effects on customer satisfaction. On the other hand, social value and conditional value do not affect customer satisfaction. Finally, customer satisfaction has a positive impact on behavior intention. Theater users have an intention to re-use or recommend the movie theater they used when they are satisfied with a movie theater's physical environment and services. Conclusions - This study can provide academic and practical implications as follows based on the results mentioned above. First, academic implications can be found in that consumption values of movie theater users are classified into five values based on the theory of consumption value by Sheth et al. (1991). In the previous study, the service quality of a movie theater was studied based on the service quality of service encounters and a physical environment→customer satisfaction→behavior intention path structure. However, this study was verified by a consumption value→customer satisfaction→behavior intention path structure to classify consumption value, but not service quality or perceived value of quality, to confirm this generalization. Second, practical implications can be found in that the relative impact of consumption value of movie theaters on consumer satisfaction showed that functional value was followed by epistemic value and emotional value. In the previous study on movie theaters, previous variables of customer satisfaction were separated only by functional service quality including service encounters and physical environment; in some other studies, quality of service encounter had a direct effect on customer satisfaction. Accordingly, a marketing manager of a movie theater should develop various differentiated services by reflecting not only functional value such as service encounters and physical environment but also epistemic value and emotional value.

• Journal of Information Technology Applications and Management
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• v.26 no.1
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• pp.39-51
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• 2019

As data grows rapidly, the provision of appropriate information needed by individuals has become an area of new services, and customized services which is enabling the analysis of optimal services through collecting, storing, and analyzing personal data are emerging in many fields. However, due to the characteristics of customized services based on various information collected by customers during the use of the service, the problem of privacy infringement is raised at the same time, and many studies are being actively conducted to solve this problem. This study seeks to explore how the customer's in-depth and customized services has an impact on their customers, which has not been derived from quantitative research using the grounded theory methodology. Through this, 84 concepts, 33 subcategories, 13 Categories and paradigm models were derived. In addition, 'Understanding and acceptance of online behavioral advertising (OBA)' was derived as a core category, and finally, acceptance types of OBA were classified into 'positive acceptance type', 'indifferent type', 'calculating type', and 'active resistance type' based on the key categories. This study divides the acceptance types of online behavioral advertising through the emotions and behaviors of the consumers throughout the procedure of online behavioral advertising experiences. In addition to the statistical and quantitative information currently used for providing behavioral advertising, it provides new criteria to reflect the refinement of behavioral advertising and personal tendencies or characteristics.

• The Journal of Information Systems
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• v.32 no.3
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• pp.225-251
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• 2023

Purpose The purpose of this study is to examine the future direction of in-vehicle app development and service, the relationship between potential customers' intention to use and the factors that affect it was explored. It was also checked whether the two types of app development platform and the experience of the existing smartphone app platform had a moderating effect on these relationships. Design/methodology/approach Data was gathered through surveys, collecting responses from 904 potential consumers of vehicle app services in Korea. Structural equation modeling was utilized to analyze the data. Findings According to the empirical analysis result, it was found that potential customers considered enjoyment as the most important benefit factor in in-vehicle app service, and the most important external factor affecting enjoyment was functional compatibility with smartphone. The type of vehicle app development platform did not have a meaningful moderating effect on the factor relationship, whereas the smartphone app platform experience showed a meaningful moderating effect on the relationship between factors. It was analyzed that the risk of app performance, personal information privacy, and driving safety data did not have a negative effect on the intention to use the vehicle app service.