• The Journal of Asian Finance, Economics and Business
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• 제7권8호
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• pp.323-332
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• 2020

This study aims to examine the level of students' satisfaction toward the services (i.e. accommodation facilities, transportation facilities, and recreation and sports facilities) provided by the public universities in Bangladesh. The study also aims to identify the major service factors that influence students' satisfaction in public universities in the country. A cross-sectional survey was conducted at six public universities to obtain primary data. A standardized questionnaire was distributed to a total of 500 randomly selected students to collect the data. Several statistical tools, namely, reliability analysis, descriptive statistics, correlation analysis and multiple regression analysis were employed to analyze the data. The findings revealed that recreation and sports facilities have the strongest impact on students' satisfaction in the public universities in Bangladesh. Transportation facilities also have positive and significant impact on student's satisfaction. However, the study found a negative correlation between accommodation facilities and students' satisfaction indicating that students are not satisfied with the accommodation facilities provided by the public universities. The findings of this study provide an insight about students' satisfaction that might be useful to authorities of the public universities and other higher educational institutions in designing policies for various services and facilities to be provided to their students.

• 한국정보시스템학회지:정보시스템연구
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• 제27권4호
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• pp.149-165
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• 2018

Purpose As Korean economy has been sluggish in recent years, firms' interest in publicly financed projects has increased due to the relatively increasing proportion in the economy. Since 1999, publicly financed projects in Korea need to undergo preliminary feasibility study to evaluate economic efficiency and policy quality if they are larger than a certain scale. The benefits of public projects are one of the most important factors in the preliminary feasibility study but are difficult to estimate due to their nature. Design/methodology/approach This study estimates the benefits of the agricultural soil information database, a public database in Korea. The method used in the study is the stated preference method which is formally used in Korea's preliminary feasibility study. Data are collected through surveys and a logit model is constructed to be estimated by the maximum likelihood estimation method. Findings As the first study evaluating a public database, this study can be used as a baseline in all public database projects developed in the future. In addition, this study can contribute to improving the understanding of both private companies and public organizations who are interested in the cost-benefit analysis and estimation procedure for the publicly financed projects.

• 유통과학연구
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• 제22권4호
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• pp.91-104
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• 2024

Purpose: The study aims to assess the current status of domestic public food delivery apps and analyze the process through which sellers choose between private delivery apps and public delivery apps. This involves exploring strategiesto achieve the original purpose of public food delivery apps, which is to enhance the small business owners income and promote consumer welfare by preventing the monopoly of private food delivery apps. Research design, data and methodology: the research methodology is based on a model that introduces adjustments for non-economic effects, considering the preferences of multi-homing consumers, to more realistically reflect the benefits of sellers' choices. For data analysis, real business performance data from 'Daeguro', 'Meokkaebi', and 'Somunnan Shop' were used. Results: The study revealed that if the market share of public delivery apps within a specific region increases beyond a certain level, the benefits for small-business sellers also increase. This leads to the strategic advantage of simultaneously using both delivery apps. Furthermore, the results exhibit a tendency similar to real social phenomena. Conclusions: This analysis confirmed the role of public food delivery apps in the domestic delivery app market and presents policy recommendations, including application integration and the implementation of exclusive public interest functions, to effectively fulfill this role.

• 성인간호학회지
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• 제22권4호
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• pp.408-417
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• 2010

Purpose: The purpose of this study was to describe public health services for the aged in public health centers from the perspective of public health nurses. Methods: The interview data were collected from 11 public health nurses and analyzed by using Colazzi's (1978) descriptive phenomenology. The procedural steps was that described the phenomenon of interest, collected participants' descriptions of the phenomenon, extracted the meaning of significant statement, organized the meanings into theme clusters, wrote exhaustive descriptions and then incorporated data into an exhaustive description. Results: The results included 291 re-statements, 49 constructed meanings, 27 themes, 12 theme clusters, and 5 categories were deduced. The five categories were 'perception of obstacles for elderly health system', 'sense of burden in services of health', 'planning about diverse elderly health services', 'elderly clients-focused performance', and 'solidify community ground of elderly health services'. Despite obstacles, participants tried to diverse health services for elderly. Conclusion: This study has described public health nurses' experiences about public health services for the aged. These findings have important implication for the practice of public health services for the aged and must be considered to develop program for planning and practice of public health nurses for the aged.

• 정보교육학회논문지
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• 제26권5호
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• pp.439-448
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• 2022

본 연구에서는 공공데이터포털에서 제공하는 교육관련 데이터를 검색하고 토픽모델링 기법을 활용한 분류를 통해 어떠한 데이터의 종류가 구축되어 있으며 활용이 가능한지를 살펴보고자 하였다. 공공데이터포털의 데이터에 대하여 분류체계를 기준으로 교육분야의 파일데이터는 3,072건이 수집되었으며, 검색어를 활용하여 '교육'을 검색하여 나타난 파일데이터 2,361건으로 나타났다. 각각의 데이터셋에 대하여 불용어처리를 실시하고 데이터 전처리를 수행하여 LDA기반 토픽모델링을 활용하여 텍스트마이닝 분석을 실시하였다. 사전에 교육으로 분류된 데이터셋에서는 현재 재학중인 학교급별 학생을 대상으로 지원하는 프로그램과 정보에 대한 내용이 제공되고 있었다. 한편, 교육으로 검색하여 수집된 데이터셋에서는 장애인, 학부모, 노인, 아동 등 평생교육의 관점으로 제공되는 교육 프로그램 및 지원현황이라는 특징이 나타났다. 데이터과학기반의 의사결정 및 문제해결력을 기르기 위해 공공데이터포털이 제공하는 데이터에서 교육과정 및 내용이 충분히 제공되는 것도 좋은 기회가 될 것이다.

• Asian Journal for Public Opinion Research
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• 제8권3호
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• pp.393-406
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• 2020

The discourse on the lockdown in Indonesia is getting stronger due to the increasing number of positive cases of the coronavirus and the death rate. As of August 12, 2020, the confirmed number of COVID-19 cases in Indonesia reached 130,718. There were 85,798 victims who have recovered and 5,903 who have died. Data show a significant increase in cases of COVID-19 every day. For this reason, there needs to be an evaluation of the government policy of the Republic of Indonesia in dealing with the COVID-19 pandemic in Indonesia. An evaluation of policies for handling the pandemic must include public opinion to determine any weaknesses of this policy. The development of public opinion about the lockdown policy can be understood through social media. During the COVID-19 pandemic, measuring public opinion through traditional methods (surveys) was difficult. For this reason, we utilized big data on social media as research data. The main purpose of this study is to understand public opinion on the lockdown policy in overcoming the COVID-19 pandemic in Indonesia. The things observed included: volume of Twitter users, top influencers, top tweets, and communication networks between Twitter users. For the methodological development of future public opinion research, the researchers outline the obstacles faced in researching public opinion based on big data from Twitter. The research results show that the lockdown policy is an interesting issue, as evidenced by the number of active users (79,502) forming 133,209 networks. Posts about the lockdown on Twitter continued to increase after the implementation of the lockdown policy on April 10, 2020. The lockdown policy has caused various reactions, seen from the word analysis showing 14.8% positive sentiment, 17.5% negative, and 67.67% non-categorized words. Sources of information who have played the roles of top influencers regarding the lockdown policy include: Jokowi (the president of the Republic of Indonesia), online media, television media, government departments, and governors. Based on the analysis of the network structure, it shows that Jokowi has a central role in controlling the lockdown policy. Several challenges were found in this study: 1) choosing keywords for downloading data, 2) categorizing words containing public opinion sentiment, and 3) determining the sample size.

• Journal of Information Technology Applications and Management
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• 제21권4호
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• pp.263-293
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• 2014

This study reviews Korean public informatization policy implemented in last 20 years from the philosophical perspective and attempts to suggest directions to be considered in the future. To accomplish the research goal, this study first analyzes literature in the relevant areas, including philosophy of value, administrative ideology, and public informatization policy. Second, based on the results of literature review, criteria to analyze the public informatization policy are established. Then, the Korean public informatization policy is analyzed based on the established criteria. Lastly, implications for planning and implementing public informatization policy are suggested. Significance of the study lies in its attempt to examine public informatization policy from the philosophical perspective. However, due to its exploratory nature, this study has limitations including less rigorous measurement instruments, limited source of data, limited number of propositions established. Therefore, further studies are needed in these areas.

• 보건행정학회지
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• 제6권2호
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• pp.1-13
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• 1996

To evalate the efficiency of public and private hospitals, the author used Data Envelopment Analysis(DEA), a mathematical linear programming method calculating the of ficiency of a unity(DMU: Decision Making Unit) in relation to the other units in analysis. DEA was applied to thirty three (10 public and 23 private) general hospitals wiwith 160 to 299 beds. In respect to productivity, public hospitals appeared to be a little more efficient than private ones, even though it's statisticansignificant. However, the efficiency score for profitability conversed that these contrary results were due to the caring of more medical protection patients in public hospitals, who brought less revenlue to te hospital than other patients. Public hospitals' superiority to private counterparts in productivity, which are aguged mainly based on cared patients, suggests that the former contributes so much positively to social utility. In particular, the fact that public hospitals are caring more medical protection patients, namely the poverty group whom the society should bear a burden of by all means, seems to be desirable in respect of role of publi hospitals.

• 한국병원경영학회지
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• 제19권1호
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• pp.21-31
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• 2014

This study aimed to find marketing strategy through comparison of internet homepage between national-public hospitals and private hospitals in Korea. A total of 51 hospitals' data were used with frequency, chi-square, t-test, multi-regression, correlation analysis. They were verified by SPSS Ver. 15.0 program. According to the result of this research, national-public hospitals operated more contents of public interests such as social contribution, volunteer work than private hospitals. Otherwise private hospitals operated more contents of costumer interests such as customer counselling, statistical data and cafe of customer voices than national-public hospitals. Synthetically we find that private hospitals try to get closer to the consumer than national-public hospitals. Because feedback and interaction between hospitals and consumer are very important, we suggest that national-public hospitals and private hospitals mutually should operate internet homepage in accordance with consumer needs of medical market.

• Asian Journal for Public Opinion Research
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• 제9권3호
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• pp.240-265
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• 2021

Public services need to be evaluated regularly to identify areas that need further improvement. Data collection via Twitter is affordable and timely, so it has the potential to be utilized to evaluate the quality of public service. This study utilizes tweets mentioning three service units of the provincial government of Jakarta and applies both sentiment analysis and topic classification to predict a rating/score of public service quality. The research goal is to examine if the evaluation of public services based on social media data is possible. The findings indicate that the use of Twitter has an advantage in terms of sample size and variety of opinions. Tweets can be translated into scores as well. Nonetheless, the representativeness issue and the predominance of complaint tweets can affect the reliability of the results.