• 보건행정학회지
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• 제9권1호
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• pp.110-138
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• 1999

This study intended to understand the factors influencing the utilization of charged retirement home services for the elderly by stage of discision making. At the same time the purpose of the study is also to present the results of this study as data for the expectation of the demand. The subject of this study was non-utilizer (635 persons) and utilizer (62 persons) of charged retirement home services over the age of sixty. Non-utilizer was selected by random sampling in urban and rural area, and utilizer was investigated by census survey in the three charged retirement home. The research method was interview survey by questionaire. The questionaire was composed of 59 items, 25 variables, 5 components. The research model was to add Andersen's Prediction Model. The components were predisposing component, enabling component, need component, actualizing component, psychologic component. The results of this study were as follows. 1)In the stage of recognizing the residence problem, the recognizer were 76.7% (487 persons) of all the non-utilizer. The factors of influencing were property (B=-4.1E-05), solidarity with children (B=-.1070), house satisfaction (B=-.2517), need of charged retirement home (B=.2614). 2)In the stage of selecting an altenative as utilizing of charged retirement home services, the selecter were 41.1% (261 persons) of all the non-utilizer. The factors of influencing were perception of charged retirement home (B=.2790), need of charged retirement home (B=.2971). 3)In the stage of decion-making, the decider were 29.6% (188 persons) of all the non-utilizer. The factor of influencing was need of charged retirement home (B=.3570). 4)In the stage of the actualization, the factors of influencing were charge ability of utilization (B=.1025), significant others (B=.1868). The upper results were implemented by using the statistical methods of frequency, t-test, $$\chi$^{2}$-test, multiple logistic regression ( and P 〈 .05 ).

• 보건행정학회지
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• 제30권1호
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• pp.37-49
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• 2020

Background: Unmet healthcare needs have many advantages for measuring inequalities in healthcare use. However, the existing indicator is difficult to capture the reality of unmet healthcare needs sufficiently and is not quite appropriate in comparing regional inequality. The purpose of this study is to critically analyze the utilization of the unmet healthcare need indicator for regional healthcare inequalities research. Methods: We used the level of healthcare accessibility and healthcare need to categorize the regions that are known to cause differences in healthcare utilization between regions and verified how existing unmet healthcare need indicator is distributed at the regional level. Results: Four types of regions were classified according to the high and low levels of healthcare needs and accessibility. The hypothesis about the regional type expected to have the highest unmet healthcare need was not proved. The hypothesis about the lowest expected regional type was proved, but the difference in the average rate of unmet healthcare needs among regional types was not significant. The standard deviation of the rate of unmet healthcare needs among regions within the same type was also higher than the overall regional variation, which also disproved the whole frame of hypothesis. Conclusion: Failure to prove the hypothesis means the gap between the supposed meaning of the indicator and the reality. In order to understand the current state of healthcare utilization of people in various regions of Korea and to resolve inequality, fundamental research on the in-depth structure and mechanisms of healthcare utilization is needed.

• 경영정보학연구
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• 제17권3호
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• pp.19-38
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• 2015

정보의 활용은 개인뿐 아니라, 사회 전체의 신뢰성, 효율성, 소통을 높이고, 이는 사회 전체의 복지수준을 높인다. 본 연구에서는 한국, 중국, 미국, 일본에서 스마트폰 사용자 2,000명을 대상으로 설문조사를 실시하여, 모바일 정보의 활용이 사회의 신뢰도, 효율성, 소통, 그리고 복지(welfare) 인식에 어떤 영향을 미치는지 검증해 보았다. 그 결과 모바일 정보 활용이 높을수록 사회 전체의 효율성, 신뢰도, 소통, 그리고 복지가 높아진다고 인식하였고, 모바일 정보활용이 사회 전체의 효율성, 신뢰도, 소통, 그리고 복지 인식에 미치는 영향은 한국, 중국, 미국, 일본 4개국에서 다르게 나타났다. 이러한 결과를 토대로 IT의 사회적 영향과 비교문화적 시사점을 제시하였다.

• 건축역사연구
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• 제32권6호
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• pp.7-21
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• 2023

This research aims to understand the specific aspects of the utilization of the pavilion by a group of governors in the mobile office system of the early Joseon Dynasty through two diaries written in the 16th century. Miam Diary by Yu Hee-chun, a governor of Jeolla Province, and Jaeyeongnam Diary by Hwang Sa-woo, a chief aide of Gyeongsang Province, are important historical materials that reveal the utilization patterns of the pavilion by the governor, who was the decision maker and main user of governmental pavilions. As a result of analyzing the two diaries, the utilization of governmental pavilions was concentrated in the hot summer season, May to July, which is closely related to the perception of temperature and humidity. While pavilions are mostly used as office and banquet places, some notable usage patterns have been identified. When there were several governmental pavilions in a town, the order of appreciation was determined by considering the location and scenery, and the pavilions were also used as a place to encourage learning as governors taught Confucian scholars well. Governmental pavilions functioned as a device to visualize hierarchy through seating and accommodation arrangements. The authors of the diaries left comments on the famous pavilions and sometimes went to see the pavilions after asking for permission from the superior. This research is meaningful in that it reconstructed the relationship network and phases of the times of governmental pavilions scattered across the country through institutions and daily life.

• 디지털융복합연구
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• 제22권1호
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• pp.15-21
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• 2024

본 연구는 생성형 AI의 활용 및 사용자 그룹 간 차이에 대한 인식을 분석하고자 하는 목적으로 가지고 있다. 본 연구는 생성형 AI 사용자 그룹 간 차이에 대한 인식을 조사하여 각 사용자층에 대한 AI 활용 역량 증진을 위한 시사점을 도출하였다. 검증 결과, 연령별 집단 간에는 유의적인 차이가 없으며, 전문적 배경에 의한 집단 간에는 생성형 AI 활용 분야와 생성형 AI의 윤리적 관점에서 유의미한 차이를 보였다. 이로 인해 본 연구는 전문 분야에 따라 다른 AI 솔루션 제공 및 맞춤형 교육 훈련 필요성, 윤리적 고려에 대한 특별한 교육과 문화 형성 등에 대한 대안을 제시하였다. 또한 텍스트 마이닝 기법을 통해 연령대별, 전문 분야별로 다른 방식의 AI 활용 및 활용 역량 개발 교육 등을 제안하였다는 점에서 학술적 기여를 했다고 사료된다.

• 토지주택연구
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• 제10권4호
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• pp.41-50
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• 2019

This study was started to study the buffer zone of Daejeon metropolitan city in order to study the policy and environment for the suitability evaluation of the use of green buffer zone. The target of the study was selected as the buffer zone of western buffer, which is frequently used in the Daejeon Metropolitan City, and a preliminary index was selected to evaluate the suitability of the green buffer zone. AHP analysis was conducted to increase the reliability of the preliminary indicators and the weight was analyzed by questionnaires to experts and practitioners. In addition, based on the existing statistical data, we rebuilt the green buffer zone and investigated the current condition, and compared and analyzed the green buffer zone and the places where they did not. The results are as follow. First, unlike the statute interpretation that construction can not be done in buffered green spaces, green buffer zones have been utilized in various ways. However, the lack of advanced citizen consciousness of the residents, the responsibility of the responsible person, and the problem of the management office alone are causing problems. Second, according to the results of AHP questionnaire analysis, functional and stability among the appropriateness indexes of green buffer zone utilization were evaluated highly. Park accessibility and utilization potential also weighed somewhat, and it was judged that the epochal trend was more important in the use of green buffer zones. Third, analysis of the status of Western green buffer zones in Daejeon showed that the utilization rate was more than half. This suggests the necessity of judging the appropriateness of the application of the green buffer zone effectively due to the change of the perception of the green buffer zone of the residents. Fourth, as a result of comparing and analyzing the site where the site is used and the site where it is not, it is found that it is used within a range that does not greatly affect each index. However, as the stability has decreased, we have decided that the utilization method is most damaging to the green zone, and we should strive to improve the stability in future. Finally, the analysis of a red clay road and a red clay road sites decreased from Class I of stability to Grade II. However, the fall figure showed a difference between the 13 % drop rate of the target location and the 5% decline rate of utilization. The difference was analyzed as the difference of width of a red clay road. This can be regarded as one of the ways of damaging the green zone to the minimum extent, which is a great advantage in selecting the future utilization plan.

• Asia pacific journal of information systems
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• 제24권4호
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• pp.443-472
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• 2014

To survive in the global competitive environment, enterprise should be able to solve various problems and find the optimal solution effectively. The big-data is being perceived as a tool for solving enterprise problems effectively and improve competitiveness with its' various problem solving and advanced predictive capabilities. Due to its remarkable performance, the implementation of big data systems has been increased through many enterprises around the world. Currently the big-data is called the 'crude oil' of the 21st century and is expected to provide competitive superiority. The reason why the big data is in the limelight is because while the conventional IT technology has been falling behind much in its possibility level, the big data has gone beyond the technological possibility and has the advantage of being utilized to create new values such as business optimization and new business creation through analysis of big data. Since the big data has been introduced too hastily without considering the strategic value deduction and achievement obtained through the big data, however, there are difficulties in the strategic value deduction and data utilization that can be gained through big data. According to the survey result of 1,800 IT professionals from 18 countries world wide, the percentage of the corporation where the big data is being utilized well was only 28%, and many of them responded that they are having difficulties in strategic value deduction and operation through big data. The strategic value should be deducted and environment phases like corporate internal and external related regulations and systems should be considered in order to introduce big data, but these factors were not well being reflected. The cause of the failure turned out to be that the big data was introduced by way of the IT trend and surrounding environment, but it was introduced hastily in the situation where the introduction condition was not well arranged. The strategic value which can be obtained through big data should be clearly comprehended and systematic environment analysis is very important about applicability in order to introduce successful big data, but since the corporations are considering only partial achievements and technological phases that can be obtained through big data, the successful introduction is not being made. Previous study shows that most of big data researches are focused on big data concept, cases, and practical suggestions without empirical study. The purpose of this study is provide the theoretically and practically useful implementation framework and strategies of big data systems with conducting comprehensive literature review, finding influencing factors for successful big data systems implementation, and analysing empirical models. To do this, the elements which can affect the introduction intention of big data were deducted by reviewing the information system's successful factors, strategic value perception factors, considering factors for the information system introduction environment and big data related literature in order to comprehend the effect factors when the corporations introduce big data and structured questionnaire was developed. After that, the questionnaire and the statistical analysis were performed with the people in charge of the big data inside the corporations as objects. According to the statistical analysis, it was shown that the strategic value perception factor and the inside-industry environmental factors affected positively the introduction intention of big data. The theoretical, practical and political implications deducted from the study result is as follows. The frist theoretical implication is that this study has proposed theoretically effect factors which affect the introduction intention of big data by reviewing the strategic value perception and environmental factors and big data related precedent studies and proposed the variables and measurement items which were analyzed empirically and verified. This study has meaning in that it has measured the influence of each variable on the introduction intention by verifying the relationship between the independent variables and the dependent variables through structural equation model. Second, this study has defined the independent variable(strategic value perception, environment), dependent variable(introduction intention) and regulatory variable(type of business and corporate size) about big data introduction intention and has arranged theoretical base in studying big data related field empirically afterwards by developing measurement items which has obtained credibility and validity. Third, by verifying the strategic value perception factors and the significance about environmental factors proposed in the conventional precedent studies, this study will be able to give aid to the afterwards empirical study about effect factors on big data introduction. The operational implications are as follows. First, this study has arranged the empirical study base about big data field by investigating the cause and effect relationship about the influence of the strategic value perception factor and environmental factor on the introduction intention and proposing the measurement items which has obtained the justice, credibility and validity etc. Second, this study has proposed the study result that the strategic value perception factor affects positively the big data introduction intention and it has meaning in that the importance of the strategic value perception has been presented. Third, the study has proposed that the corporation which introduces big data should consider the big data introduction through precise analysis about industry's internal environment. Fourth, this study has proposed the point that the size and type of business of the corresponding corporation should be considered in introducing the big data by presenting the difference of the effect factors of big data introduction depending on the size and type of business of the corporation. The political implications are as follows. First, variety of utilization of big data is needed. The strategic value that big data has can be accessed in various ways in the product, service field, productivity field, decision making field etc and can be utilized in all the business fields based on that, but the parts that main domestic corporations are considering are limited to some parts of the products and service fields. Accordingly, in introducing big data, reviewing the phase about utilization in detail and design the big data system in a form which can maximize the utilization rate will be necessary. Second, the study is proposing the burden of the cost of the system introduction, difficulty in utilization in the system and lack of credibility in the supply corporations etc in the big data introduction phase by corporations. Since the world IT corporations are predominating the big data market, the big data introduction of domestic corporations can not but to be dependent on the foreign corporations. When considering that fact, that our country does not have global IT corporations even though it is world powerful IT country, the big data can be thought to be the chance to rear world level corporations. Accordingly, the government shall need to rear star corporations through active political support. Third, the corporations' internal and external professional manpower for the big data introduction and operation lacks. Big data is a system where how valuable data can be deducted utilizing data is more important than the system construction itself. For this, talent who are equipped with academic knowledge and experience in various fields like IT, statistics, strategy and management etc and manpower training should be implemented through systematic education for these talents. This study has arranged theoretical base for empirical studies about big data related fields by comprehending the main variables which affect the big data introduction intention and verifying them and is expected to be able to propose useful guidelines for the corporations and policy developers who are considering big data implementationby analyzing empirically that theoretical base.

• 동아시아식생활학회지
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• 제16권5호
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• pp.506-514
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• 2006

Sikhe a general Korean traditional drink, is a sweet drink fermented with malt powder rice(or glutinous rice). To investigate the perception and use behavior of Sikhe, 35.2% of the male and 64.8% of the female adults in Daegu and Kyungbuk area were surveyed. The methods frequency, percentage, chi-square test and one-way ANOVA were used to analyze the data. The main results were as follows : 36.1% of the participants usually preferred the traditional drinks and 94.7% of them had experienced Sikhe among the traditional drinks. Most respondents liked Sikhe owing to its good taste. In addition, the responses to 7 questions about the Sikhe were also measured on a 5-point likert scale. The statement 'Sikhe is a traditional food' and 'Sikhe is a natural food' received high positive responses and adults in their 50's had a generally better knowledge of Sikhe than the counterparts. furthermore, 54.8% sometimes purchased commercial Sikhe, but 40.7% didn't buy it at all due to bad taste. Therefore, to increase the intake of commercial Sikhe, the taste needs to be improved, and 59.8% of adults suggested that 'Add other ingredients and the taste can be improved', while 58.8% replied 'maintenance' prospects for Sikhe consumption.

• 한국유기농업학회지
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• 제29권2호
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• pp.187-207
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• 2021

This study examined the perception of farmers who employ foreign workers. A survey was conducted on 110 farms, and the main research results are as follows. First, as many farmers hire foreign workers in informal ways other than the employment permit system or seasonal worker programs, it is important to increase the number of registered foreign workers through the employment permit system or seasonal worker programs. Second, it is important to improve farmers' perception of compliance with the minimum wage, as some farmers pay wages below the legal minimum wage. Third, the subjective productivity evaluation results of farmers showed that the difference in labor productivity between foreigners and foreigners was not significant. This means that hiring foreign workers is due to other factors such as ease of management and cost rather than productivity. Fourth, many farmers were willing to hire existing foreign workers even if they paid extra wages after the expiration of the employment permit system. Finally, promotion and improvement of the additional system for foreign workers' workplaces are needed to solve problems caused by foreign employment during off-farming season.

• 한국인터넷방송통신학회논문지
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• 제22권4호
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• pp.9-16
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• 2022

본 연구는 게임디자이너의 색채인식에 대한 현황을 파악하고자 실무디자이너 대상으로 색채활용에 대한 설문을 실시하고 산업내에서의 인식정도는 선행연구를 통해 살펴보았다. 색채활용인식은 측정이 가능한 정량분석으로 타당성을 확인하였다. 설문 결과는 1위 디지털색채, 2위 색채조화, 3위 색채지각, 4위 색혼합, 5위 색채심리, 6위 색이름 으로 분석되었다. 이 결과 게임산업을 위한 실무 중심의 색채에 대한 재교육의 필요성과 게임관련 학과의 색채 교육에서 1~4위의 색채분야는 집중적인 교육이 이루어져야 할 것으로 보인다. 이번 연구가 향후 게임 산업의 디자이너 양성을 위한 색채 교육 연구의 기초자료로 활용되기를 기대한다.