• The Korean Journal of Franchise Management
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• v.9 no.1
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• pp.7-15
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• 2018

Purpose - The purpose of this study was to establish self sustainable win-win growth model for Korea franchise corporate sustainability and to suggest theoretical and practical implications for franchise management. Research design, data, and methodology - This study is based on literature review methodology. Result - The study suggested the ways of self sustainable win-win growth model for Korea franchise corporate sustainability. First, franchiors should strengthen requisite & specify in the contract, share information & strengthen transparency, and establish win-win management support system for control & autonomy balance. Second, franchises should develop CEO management competency & employee work competency, and establish recognition for Intellectual Property Rights Use. Third, franchisors and franchises should implement contract sincerely, strengthen Organizational Citizenship Behavior, and solve moral laxity. Forth, franchisors and franchises should establish trust and value with communication to make Creating Social Value. Fifth, franchisors and franchises should realize self sustainable social value for corporation and social community. To make this, franchsors and franchise should establish self sustainable win-win growth ecosystem with people, system, culture, innovation. Conclusions - First, Franchisors and franchises should distribute 'Self sustainable win-win growth 2025 for Korea franchise corporate sustainability' and 'Self sustainable win-win growth model for Korea franchise corporate sustainability'. Second, Franchisors and franchises should change their perspective about franchise industry. Third, Franchisors and franchises should develop various training and development plans for franchise industry. Fourth, Franchisors and franchises should establish franchise performance certificate system.

• Journal of Korean Society of Water and Wastewater
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• v.30 no.6
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• pp.673-682
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• 2016

In this study, we investigated influent and effluent water pollutants in 53 Public Sewage Treatment Works (PSTWs) where industrial wastewater or landfill leachate is combined four times for two years from 2014 to 2015. Also, we analyzed the characteristics of heavy metals and volatile organic carbons at influent and effluent of these PSTWs caused by sewage treatment combined with industrial wastewater or landfill leachate. As a result, six heavy metals such as barium, copper, iron, manganese, nickel and zinc, and four volatile organic carbons (VOCs) including phenols, di(2-)ethylhexyl phthalate (DEHP), formaldehyde and toluene were observed above detection limits in most of PSTWs. Also, it was revealed that six heavy metals such as hexavalent chromium, mercury, cadmium, chromium, nickel and selenium, and four VOCs including 1,1-dichloroethylene, vinyl chloride, naphthalene, and epichlorohydrin were observed more frequently according to precipitation. As a result of reviewing the monitoring data on "Water Quality Monitoring Networks" in lower watersheds of PSTWs, both heavy metals and VOCs were below detection limits, indicating that the effluent water had little influence on the watershed. Nevertheless for the better management of influent and effluent pollutants in PSTWs, it is necessary to establish the advanced management plans for water pollutants in PSTWs, which include a list of priority substances management, monitoring plans, and guidelines for industrial wastewater and landfill leachate combined in PSTWs.

• Journal of Information Technology Applications and Management
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• v.24 no.4
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• pp.187-196
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• 2017

It is urgent to prepare countermeasures for traffic congestion problems of Korea's metropolitan area where central functions such as economic, social, cultural, and education are excessively concentrated. Most users of public transportation in metropolitan areas including Seoul use the traffic cards. If various information is extracted from traffic big data produced by the traffic cards, they can provide basic data for transport policies, land usages, or facility plans. Therefore, in this study, we extract valuable information such as the subway passengers' frequent travel patterns from the big traffic data provided by the Seoul Metropolitan Government Big Data Campus. For this, we use a Hadoop (High-Availability Distributed Object-Oriented Platform) to preprocess the big data and store it into a Mongo database in order to analyze it by a sequential pattern data mining technique. Since we analysis the actual big data, that is, the traffic cards' data provided by the Seoul Metropolitan Government Big Data Campus, the analyzed results can be used as an important referenced data when the Seoul government makes a plan about the metropolitan traffic policies.

• The Korean Journal of Health Service Management
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• v.8 no.3
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• pp.125-135
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• 2014

The purpose of this study was to investigate the factors related to high school students' fear of dental treatment and distrust for dentists, analyze the relation between these factors and dental health services utilization, and then apply basis data for providing individualized dental health service. The period of the data collection was from November 1st to November 22th 2013, and the subjects were 300 of the first-year high school students in Daugu, and the final analysis data were total 280. using frequency, T-test, correlation and multiple regression analysis, the results of this study were as follows. The higher the distrust for dentist(${\beta}=0.322$) and the burden of dental visit(${\beta}=0.161$), fear of Dental treatment was increased. The larger the fear of Dental treatment and Past experienced pain level, distrust for dentist was increased. therefore, In order to decrease patients' distrust for dentists, good communication between patients and doctors, and efficient treat plans were needed. As a result, patients should have positive attitude on treat. Through early detection and early treatment of oral disease, effective dental health care services with decreasing the fear of dental care system should be provided.

• Journal of Information Technology Applications and Management
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• v.27 no.1
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• pp.1-13
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• 2020

This study aims to measure the efficiency and productivity change of 30 domestic construction companies from 2010 to 2018 using data envelopment analysis(DEA) and Malmquist productivity index (MI). In particular, we used the number of employees, capital stock, and non-current assets as input variables, and sales and net income as ouput variables for the analysis. The dataset used for the analysis of efficiency and productivity changes is the employee profile and financial statements for the companies from 2010 to 2018. We found that the MI of the 30 companies is greater than one since 2013. This is because many years of TEC (Technical Efficiency Change) is greater than 1, which means that the productivity index increases as the TEC increases. In addition, the MI value was less than 1, which lowered the productivity of construction firms in 2018. The results of the study may help decision makers to find effective future management plans by analyzing the internal and external factors.

• KSCI Review
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• v.8 no.2
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• pp.15-23
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• 2001

Due to the popularization of Web. the importance of Web for teachers to collect teaching materials increases, but there are difficulties in using Web. due to the rapid increase of information and the shortage of proper skill of using it. The thesis designs and implements a lesson plan management system that systematically manages diverse data and teachers' knowledge. The information required in preparing lesson plans is acquired on the Web and stored in database, and the lesson plan Produced this way could be shared by other teachers on the Internet. In addition. lesson plan DTD was designed and every lesson Plan was transformed into XML data to Provide more convenient data exchange and diverse forms. so that its application could be extended to other education-related systems.

• Journal of Wetlands Research
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• v.22 no.3
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• pp.200-216
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• 2020

Many studies conducted in Kenya regarding water resource governance have focused on the mandate of Water Resource Users Associations (WRUAs) with less attention being accorded to their effectiveness in conservation of wetlands. This study assessed the effectiveness of WRUA committees, and challenges faced in conservation of Rwamuthambi Sub-catchment. The study employed exploratory descriptive research design. Data was collected through questionnaires, semi-structured interviews, observations and review of secondary data. Chi square and descriptive statistics was used to analyze the data. The survey results revealed that only 15% of WRUA committee understood water resources management while 35% were aware of relevant legislations. Factors of wetland degradation showed significant association with existence of WRUA (χ2 (4, N=180) = 20.46, p< .01) where (χ2- chi square (degrees of freedom, N = sample size) = chi-square statistic value, p = p value), although WRUA contributions were perceived differently per agro-ecological zone (χ2 (8, N=147) = 15.51, p>.05). Challenges unearthed were inadequate financial and human resources, lack of understanding, ineffective collaborative governance, poor support from county government and private ownership of riparian land reserve. There is need for WRUAs to embrace collaborative governance for effective conservation of wetlands. Integration of sub catchment management plan with county land use plans and policy review is also required.

• Journal of Environmental Health Sciences
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• v.45 no.6
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• pp.605-612
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• 2019

Objectives: This study aims to examine receptor-perceived characteristics of environmental and health damage in areas surrounded by industrial workplaces using environmental complaints collected by local governments in Korea. Methods: The environmental complaint data related to workplaces was collected by local governments at each municipality between the years 2015 and 2017. We analyzed the complaint data from the Busan area by the type of business (industry classification), the content of complaints (odor, smoke, noise, and certain health damage), and the frequency of complaints. Results: Among the workplaces examined, industry categories related to retail and service received the highest frequency of complaints related to noise. On the other hand, complaints of dust and odors were raised in higher frequency against manufacturing industries, indicating that air pollution was the main driver of such complaints. Most of the complaints regarding health effects from industries also contained other complaints, such as odor, noise, and dust. Our results indicate that environmental discomfort can lead to more serious health damage, and should be dealt with more seriously. Further management plans for mitigating discomforts such as noise are necessary. Conclusion: This study can be used as background data for identifying the policy priorities related to vulnerable areas polluted by industry and will contribute to improving the environmental health of residents in identified areas.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.4
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• pp.109-120
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• 2021

Despite the growing online exposure of retailes, offline retail channels still outperform online channels in the total retail volume of some countries. There is much interest in the physical layout plans of retail stores to expand sales. Product placement that have a large impact on customer purchasing behavior at offline retailers influences customer movement and sales volume. But in many cases, each retailer relies on unsystematic and autonomous product placement. When multiple products are sold with one purchase, the customer's movement for shopping may be evaluated in terms of customer efficiency and additional impulse purchase. In this paper, the social network is applied to sales data of a retail store and the result is used for evaluation of product placement and customer path. The frequent sales product composition was identified using k-core from sales data in the form of shopping baskets. The location was checked for the identified compositions of products, the spatial variance was measured and the customer's path was identified. With these results, the store arrangement of products was evaluated with appropriate improvement directions. The analysis method of this paper can be an alternative analysis approach for better layout of retail stores.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1138-1145
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• 2022

While pursuing digitalization and paperless projects, the construction industry needs to settle on how to make the most of digitized data and information. On-site workers, who currently rely on paper documents to check and review design and construction plans, will need alternative ways to efficiently access the information without using any paper. Augmented Reality is a potential solution where the information customized to a user is aligned with the physical world. This paper proposes the Augmented Reality framework to deliver the information on on-site resources (e.g., workers and equipment) using head-mounted devices. The proposed framework was developed by interoperating Augmented Reality-supported devices and a digital twin platform in which all information related to ongoing tasks is accumulated in real-time. On-site resources appearing in the user's field of view are automatically detected by an object detection algorithm and then assigned to the corresponding information by matching the data in the digital twin platform. Preliminary experiments show the feasibility of the proposed framework. Worker detection results can be visualized on HoloLens 2 in near real-time, and the matching process obtained the accuracy greater than 88%.