• Journal of Korean Society of Rural Planning
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• v.27 no.3
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• pp.35-46
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• 2021

Ecosystem services play a role in promoting sustainable development by contributing to human welfare. For sustainable development, a balance between supply and demand for ecosystem services must be made. In this regard, in this study, factor analysis was performed using the results of measuring ecosystem services for the supply of ecosystem services and national statistical data representing socio-economic factors for demand for ecosystem services The results of analysis for Gyeong-gi Province are as follows. The service supply based on the result of ecosystem services was divided into the mixed service provisioning as factor1, the food provisioning as factor2, and the P retention service provisioning area as factor3. As for the demand for services based on socio-economic factors, factor1 is divided into urbanized areas, factor2 is forest development area, and factor3 is agricultural activity development area. Local governments that maintain balance were evaluated as Pocheon, Yangpyeong, Icheon, Pyeongtaek, Goyang, Suwon, Gwangmyeong, and Osan, and imbalanced local governments appeared in Gimpo, Uiwang, Anseong, and Yeoju. A management plan to maintain the balance between supply and demand of ecosystem services was suggested. The analysis method and results of this study are expected to be applicable to various local governments through regional expansion.

• Journal of Information Technology Services
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• v.20 no.4
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• pp.81-93
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• 2021

In the era of artificial intelligence, the use of 'artificial intelligence-based services' has been diversified by combining various smart devices, big data, and voice recognition technology with artificial intelligence. From the perspective of IT services, these services are important technology that cause a paradigm shift from display-centered to voice-centered, and from passive to active IT-based services. This study seeks to find a solution to the current situation where AI assistant service is still in its beginning stage, despite having been ten years since its release and having a growing number of consumer touch points. Accordingly, we categorized the functions of AI assistant services and identified the degree of importance and satisfaction of services recognized by actual users. In order to define the 'ideal' services of AI assistant, seven experts from AI assistant-related industry have participated in the interview. Based on this result, we investigated the importance and satisfaction of services perceived by actual users of AI assistant services. As a result of IPA (Importance Performance Analysis). we find out which services are potentially 'keep', 'concentrate', 'low priority', or 'overkill' and provide various implications from the findings.

• Journal of the Korean Home Economics Association
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• v.38 no.9
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• pp.75-92
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• 2000

The purpose of study was to improve the quality of the welfare service for the elderly people in Iksan city. For the purpose, this study consists of three main subjects. (1) A analysis about the socio-demographic characteristics of the elderly. (2) A analysis about the experience of the welfare services for the elderly people. (3) A analysis about the demands of services on elderly related institutions or voluntary service groups. For the data set 204 the elderly people living in Iksan city, were chosen. The data were analyzed with SPSS program were frequency, percentage, chi-square. The major findings were as follows : The 70.1% of the elderly experienced of the welfare services. The most of the elderly people experienced of the elderly rotated institutions or voluntary service groups did not satisfy about services. The elderly people hoped to get the services about health, tour, education.

• Journal of Multimedia Information System
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• v.5 no.1
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• pp.21-26
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• 2018

Recently, data analysis technology through artificial intelligence is attracting major attention in various industrial fields. In addition, with the increase in personal income, nowadays, the importance of heterogeneous leisure life is becoming more prominent. However, there is a problem that the tourism industry is not out of the traditional service framework. For the ultimate development of the tourism industry, it is time to provide more scientific and systematic tourism services. In this paper, various data analysis techniques in the field of computer science are applied to the field of tourism to realize next generation tourism services. To this end, the scope of this study is limited to the aviation service, and a natural ecosystem of the aviation industry for future-oriented services of aviation tourism that can improve the efficiency of aviation service gradually is established. The proposed method effectively solves the problems of traditional aviation services through data analysis techniques with artificial intelligence techniques in computer science. We expect that it will enhance the customized satisfaction of customers through personalized service and foster loyal customers in aviation companies through the method proposed.

• Quality Improvement in Health Care
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• v.7 no.2
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• pp.168-179
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• 2000

Background : Economic evaluation of clinical pharmacokinetic consultation services for theophylline, which is being widely used recently, is considered in patients for both proper care and cost efficiency. Mathods : This is a cost-benefit analysis of clinical pharmacokinetic consultation service for theophylline. Trial groups were chosen from 2 general hospitals which was performing clinical pharmacokinetic consultation- services in 1998. Control group was chosen from another one general hospital. The analysis includes 25 patients (sample patients) for trial group and 17 patients for control group. Results : On the basis of incremental analysis, it is estimated that the total (direct and indirect) annual costs of the clinical, pharmacokinetic services of theophylline for the patients in the trial group was about \65 million, whereas total annual benefits from those services was estimated to be about \551 million. The net benefits incurred to the sample patients, thus calculated, was about \485 million per year. In the analysis, we assumed that indirect benefits accruing to those services were non-existent. If that amount was included, the estimated net benefits would be much greater than the calculated one. Conclusion : We found that clinical pharmacokinetic consultation services for theophylline could produce more marginal benefits than marginal costs by those services from the social point of view. More controlled prospective trial in the future would be helpful for affirmation of the results of this study.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.2
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• pp.676-691
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• 2022

An increasing number of companies in the fashion industry are using AI curation services. The purpose of this study is to investigate perceptions of and intentions to use AI fashion curation services among customers by using text mining. To accomplish this goal, we collected a total of 34,190 online posts from two Korean portals, Naver and Daum. We conducted frequency analysis to identify the most frequently mentioned keywords using Textom. The analysis extracted "various," "good," "many," "right," and "new" at the highest frequency, indicating that consumers had positive perceptions of AI fashion curation services. In addition, we conducted a semantic network analysis with the top-50 most frequently used keywords, classifying customers' perceptions of AI fashion curation services into three groups: shopping, platform, and business profit. We also identified the factors that boost continuous use intentions: usability, usefulness, reliability, enjoyment, and personalization. We conclude this paper by discussing the theoretical and practical implications of these findings.

• ETRI Journal
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• v.27 no.6
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• pp.759-767
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• 2005

This research is to substantially analyze the economic value of portable Internet (WiBro), WCDMA High Speed Downlink Packet Access (HSDPA), WiBro+VoIP, and WiBro+DMB regarded as the next generation of broadcasting. Based on the empirical analysis of economic values, we provide the optimal paths of converged communications and broadcasting services related to WiBro. 1,000 Internet users in the Seoul and Gyeonggi areas were surveyed in their homes. The collected survey was calculated as an accurate economic value distribution for relevant services, and the average and mean were taken using a parametric logit model, semi-parametric Spike model, and nonparametric Turnbull and Kernel estimations in order to analyze the contingent economic value of the amount offered to the subjects of the analysis. The contingent value analysis results varied slightly according to the different methodologies; however, all showed the following common features. The economic value of WiBro, Internet-based WCDMA, VoIP, and DMB with WiBro appeared to be similar. Therefore, if WiBro and WCDMA (HSDPA) form a competitive relationship, the types of bundled services offered as portable Internet service and the supply point of such bundled services are expected to emerge in a strategic plan for stimulating service markets and the prior occupation of the market.

• Journal of Home Health Care Nursing
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• v.27 no.3
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• pp.241-249
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• 2020

Purpose: This study aimed to investigate possible ways to expand the services of home-visit nursing through a review of the progress, achievements, and obstacles of home-visit nursing; a pilot project of an integrated home-service; the application of the Omaha System; as well as a case analysis of providing home-visit nursing services. Method: An integrated review was conducted using various source materials, including laws, previous studies, and a case analysis. Results: In case analysis of providing visiting nursing service, rehabilitation nursing, end-of-life nursing, and dementia care showed high nursing needs. It was necessary that the various home visit nursing services in the intervention area of the Omaha System, administrative services, case management, and center operation activities were all included in the payment systems of long-term care insurance. Conclusion: In the future, home visit nursing services of long-term care insurance should be reborn in the form of a center for integrated case management in the community, which would set long-term goals until the time of a client's death and encompass the realm of human rights for health, quality of daily life, and a dignity of life.

• KDI Journal of Economic Policy
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• v.46 no.1
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• pp.53-89
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• 2024

The effects of the betterment of enforced intellectual property rights (IPRs) provisions on services export diversification are investigated. The analysis used an unbalanced panel dataset of 76 developing countries over the period of 1970-2014. The empirical analysis is based on the feasible generalized least squares estimator. It suggests that the implementation of weaker IPR protection fosters services export diversification in less developed countries (i.e., those whose real per capita incomes are less than US$US$ 1458.60), including those with a low level of export product upgrading. Conversely, in relatively advanced developing countries (countries whose real per capita income exceeds US$ 3356.80), including those with high levels of export product upgrading, the implementation of stronger IPR laws induces greater services export diversification. Finally, the analysis revealed the existence of a non-linear relationship between IPR protection and services export diversification. The implementation of stronger intellectual property laws spurs services export diversification in countries with high degree of IPR protection, especially when IPR protection exceeds a certain level, recorded here as having a score of 1.197. In contrast, in countries with weaker IPR protection, in particular those with IPR protection levels that score less than 0.915, it is rather the implementation of weaker intellectual property laws that promotes services export diversification.

• Journal of People, Plants, and Environment
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• v.22 no.5
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• pp.455-466
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• 2019

This study was carried out to analyze trends in floral products and services through the big data analysis of various social networking services (SNSs) and then to provide objective marketing directions for the floricultural industry. To analyze the big data of SNSs, we used four analytical methods: Cotton Trend (Social Matrix), Naver Big Data Lab, Instagram Big Data Analysis, and YouTube Big Data Analysis. The results of the big data analysis showed that SNS users paid positive attention to flower one-day classes that can satisfy their needs for direct experiences. Consumers of floral products and services had their favorite designs in mind and purchased floral products very actively. The demand for flower items such as bouquets, wreaths, flower baskets, large bouquets, orchids, flower boxes, wedding bouquets, and potted plants was very high, and cut flowers such as roses, tulips, and freesia were most popular as of June 1, 2019. By gender of consumers, females (68%) purchased more flower products through SNSs than males (32%). Consumers preferred mobile devices (90%) for online access compared to personal computers (PCs; 10%) and frequently searched flower-related words from February to May for the past three years from 2016 to 2018. In the aspect of design, they preferred natural style to formal style. In conclusion, future marketing activities in the floricultural industry need to be focused on social networks based on the results of big data analysis of popular SNSs. Florists need to provide consumers with the floricultural products and services that meet the trends and to blend them with their own sensitivity. It is also needed to select SNS media suitable for each gender and age group and to apply effective marketing methods to each target.