• Culinary science and hospitality research
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• v.23 no.7
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• pp.204-219
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• 2017

The aim of this study was to examine the role of celebrity's traits on food service enterprises' media engagement, advertising effect (AD effect) and purchasing intention. Based on advance research, structural model of relationship between celebrity's traits and media engagement, AD effect and promotion of purchase was developed among the proposed constructs. Few empirical studies have been conducted to test the model. Date collection of study was from June 1st, 2017 to June 30th, distributing total of 300 issues and collecting total of 290 issues. Total of 271 questionnaires were used as the final analysis data as the nineteen questionnaires included missing information. The results can be summarized as follows: Celebrity's Traits significantly affected media engagement, AD effect and purchasing intentions. More specifically, mediating effect among the celebrity's traits and AD effect which came from media engagement was valid only if the subject of advertising effectiveness was on brands attitude. Based on the findings, theoretical and managerial implications were discussed to make one conclusion. As the media engagement was identified as a mediator between celebrity's traits and AD effect, certain brands which tend to enhance their AD effectivity should liaison proper celebrity.

• Korean Journal of Social Welfare
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• v.58 no.3
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• pp.5-26
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• 2006

This study intended to analyze what factors affect fundraising effectiveness in nonprofit social service organizations. Focusing on organizational characteristics only, current studies did not address the importance of organizational capacity leading to organizational effectiveness. Based on the assumption of the relation between organizational capacity and effectiveness of nonprofit organizations, this study added factors indicating organizational capacity to the current model. After collecting data from 147 staffs involving in fundraising activities of nonprofit social service organizations, this study used a hierarchical regression analysis. The results showed that organizational capacity had a significant impact on the variance of fundraising effectiveness. Despite the limitations of the purposive sampling method, this study has implications to provide practical guideline for nonprofit managers and to develop a theoretical framework with a new perspective on organizational capacity.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.2
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• pp.183-187
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• 2019

The paper aims to provide some recommendations to improve the operational capacity of the Tra Vinh Provincial Center of Public Administrative Services and to improve the effectiveness and efficiency of management in the State administrative agencies. The study on people's satisfaction towards public services of Tra Vinh Provincial Center of Public Administrative Services was conducted by collecting primary data of 300 people who used public services provided by this Center from September 2018 to November 2018. By using the multivariate regression method, the author found that there were a number of factors affecting people's satisfaction towards public services at the Center, including procedures, service fee, and attitudes of the staff, empathy, staff capacity, and trust. These factors had an impact on people's satisfaction towards public administrative services performed by staff officers from Tra Vinh Provincial Center of Public Administrative Services. Since then, the study has proposed policy implications to improve people's satisfaction on service quality at the Center such as: Develop a flexible charge mechanism of public services; Enhance the sense of responsibility of staff officers; Pay attention to improving administrative procedures; Establish trustworthiness to people; Pay attention to professional improvement; and Build up a friendly and respectful team of staff.

• Journal of the Korea Society of Computer and Information
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• v.20 no.1
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• pp.255-263
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• 2015

In this paper, we suggest a plan to take advantage of the SNS data to proactively identify the information on crime risk factor and to prevent crime. Recently, SNS(Social Network Service) data have been used to build a proactive prevention system in a variety of fields. However, when users are collecting SNS data with simple keyword, the result is contain a large amount of unrelated data. It may possibly accuracy decreases and lead to confusion in the data analysis. So we present a method that can be efficiently extracted by improving the search accuracy through text mining analysis of SNS data.

• Journal of the Society of Disaster Information
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• v.16 no.4
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• pp.682-690
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• 2020

Purpose: This study builds a database by collecting and refining disaster occurrence data and real-time weather and atmospheric data. In conjunction with the public data provided by the API, we propose a service model for the Big Data-based Urban Safety Index. Method: The plan is to provide a way to collect various information related to disaster occurrence by utilizing public data and SNS, and to identify and cope with disaster situations in areas of interest by real-time dashboards. Result: Compared with the prediction model by extracting the characteristics of the local safety index and weather and air relationship by area, the regional safety index in the area of traffic accidents confirmed that there is a significant correlation with weather and atmospheric data. Conclusion: It proposed a system that generates a prediction model for safety index based on machine learning algorithm and displays safety index by sector on a map in areas of interest to users.

• Journal of Information Technology Services
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• v.20 no.5
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• pp.137-146
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• 2021

Recently, public participation in government policy design has been further expanded and public services perceived by users are expanding. At this time, the role of the digital government and the direction of the service to be pursued are user-centered, and above all, it is necessary to focus on the keywords of pre-emptive, preventive, and customized. In order to propose service quality improvement in the public sector, service user-centered classification and monitoring are integrated and the usability of government documents is improved. It is necessary to identify the needs of whether to provide a path for public participation. In the post-corona era, people are accessing quarantine information from the digital government every day. The government should proactively respond to the acceleration of digital transformation and the non-face-to-face demands of the people who experience non-face-to-face daily life. In order to evolve into a smart organization along with the innovation promotion plan and to provide customized services, it is necessary to use existing guides for institutional and technical improvement, along with new technology and data-based analysis, to strive for change management. The government should seek counter-measures that have advanced one step ahead by incorporating new high-tech IT with user-centered necessary services. This study aims to derive improvement plans to provide user-centered digital government service design when designing public services and collecting public opinions. Based on the e-government development model research and the existing research on user-centered service design in the public sector, institutional and technical measures are provided for the improvement of digital government service design.

• Journal of Digital Convergence
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• v.12 no.12
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• pp.313-321
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• 2014

In current society, the digital era that makes enormous amount of data, and the diversified city, the smart space, which has characteristics of creating, collecting and representing data, is appeared. After 2012, in the social media environment called hyper-connected society with wide-spread smart phone, people started to get interested in public data and big data by generalized mobile device and SNS. At first, development of forming platform of data was focused, but now, many different idea from diverse area have been suggested about data analysis and usage to visualize the space intellectualization service. To focus on the visualization process to increase the usage of this public data for ordinary people more than specialized people, this research grasps the present condition of open data and public data service from the current public data portal and considers the applicability of them. As the result of research, the analysis and application of data to ordinary people decrease the use of paper documents, and this research will help to develop the application which is fast and accurate about individual behavior and demand to utilize public data service in intellectual space.

• Journal of the Korean Society of Earth Science Education
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• v.16 no.2
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• pp.276-290
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• 2023

The purpose of this study is to analyze the characteristics and specific elements of successful science classes that pre-service elementary school teachers think. For the study, 61 pre-service elementary school teachers (47 females, 14 males) were recruited as research participants. The data used in the study are mutual evaluation papers prepared during class performances by group and individual. The amount of data was a vast amount of qualitative data with a total of 150 pages, and the research results were derived by inductively categorizing this data through qualitative analysis. The summary of the research results is as follows. First, the factors constituting a successful science class were analyzed into 7 categories (14 sub-categories, 33 sub-elements). The elements that make up a successful science class in detail were analyzed as science subject contents, class management, selection of teaching and learning methods and organization of class contents, teaching and learning materials, understanding of students, understanding of teaching situations, and class-related efforts. Second, it was possible to describe the practical classes of pre-service teachers by collecting the details of the elements that make up a successful science class recognized by pre-service teachers. As seen in the above research results, the characteristics and specific elements of successful science classes recognized by pre-service teachers were identified, and based on this, pre-service teachers will be able to develop support for effective science class operation, and continuous analysis should be conducted.

• Journal of Platform Technology
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• v.11 no.5
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• pp.97-103
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• 2023

Unlike GPS, which is an outdoor positioning technology that is universally and uniformly used all over the world, various technologies are still being developed in the field of indoor positioning technology. In order to acquire accurate indoor location information, a standard of representative indoor positioning technology is required. Recently, indoor positioning technology is expanding into the Real Time Location Service (RTLS) area based on high-precision location data. Accordingly, a new type of indoor positioning technology is being proposed. Thanks to the development of artificial intelligence, artificial intelligence-based indoor positioning technology using wireless signal data of a smartphone is rapidly developing. At this time, in the process of collecting data necessary for artificial intelligence learning, data that is distorted or inappropriate for learning may be included, resulting in lower indoor positioning accuracy. In this study, we propose a data preprocessing technology for artificial intelligence learning to obtain improved indoor positioning results through the refinement process of the collected data.

• Journal of Korean Public Health Nursing
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• v.11 no.2
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• pp.121-130
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• 1997

The community health nursing process is essential in providing community health nursing service to the community. It helps to identify community health problems. to prioritize problems, to provide service. and to evaluate service results. However. it is very rare to find a study which applies the community health nursing process. This study intended to apply the community health nursing process to a urban community. The focus of the study was a community consisting of 533 families in a region of Seoul. The study process was as follows: 1) The data was collected by conducting interviews with community leaders and by collecting surveys from the people of the community. 2) The data was summarized and analyzed. 3) The community nursing diagnosis was identified. 4) The nursing diagnosis was prioritized. 5) The general and specific objectives for service were identified. 6) A specific nursing plan was set up. 7) A detailed evaluation plan was established. Four community nursing diagnoses were identified from the community. 1) The utilization rate of health center was found to be low due to lack of knowledge about the health center and low accessibility. 2) High trafic accident rate due to narrow roads. 3) High prevalence of chronic disease due to inappropriate health behavior. 4) High noise level and foul smell due to inappropriate waste management. Among the four community nursing diagnoses. 'High prevalence of chronic diseases was identified as a priority community nursing problem. The criteria for prioritizing community nursing problems were as follows: number of people involved, fragility of clients. severity of the problem. availability. of resources. concern of the people. readiness of nurses. relevance to the national policy. This study describes the general and specific objectives to solve the high prevalence of chronic health problems. nursing plans. and an evaluation plan.