• Journal of Service Research and Studies
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• v.11 no.4
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• pp.43-55
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• 2021

This study analyzed the efficiency of medical services in OECD member countries by dividing it into operational efficiency and quality efficiency. For this purpose, data from 2017-2019 OECD Health Statistics were used. As the analysis method, super efficiency was measured by applying an output-oriented Variable Returns to Scale (VRS) model. As a result of the analysis, Switzerland, Korea, and Italy were included in the high group of operational efficiency, Canada, Greece, Denmark, etc. in the medium group, and Belgium, Germany, and Spain in the low group. Based on quality efficiency, Norway, Switzerland, and Spain are in the high group, and Greece, Denmark, Mexico, etc. are in the medium group, and the Netherlands, Germany, Belgium, etc. were included in the low group. As a result of comparative analysis of efficiency by OECD member countries as of 2018, it was found that Korea's operational efficiency was the most efficient and quality efficiency was inefficient. Korea (0.998) should improve life expectancy by 0.2 (0.2%) and subjective health perception by 44.2 (138.1%) by benchmarking Greece (0.422), Switzerland (0.207), and Spain (0.371) to improve quality efficiency. Unlike most previous studies that focused on operational efficiency, this study measured quality efficiency together and analyzed the efficiency of the medical service industry in each OECD member country. Through this, this study has implications in that it confirmed the international competitiveness of the domestic medical service industry and suggested ways to improve efficiency.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.55-67
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• 2019

This study was surveyed the visitors who visited the festival for 4 days from August 01, 2019 to August 04, 2019 .For the questionnaire, 367 copies of valid questionnaires were used as the final analysis data in four beaches: Hakdong Black Pearl Beach, Gujora Beach, Wahyeon Beach, and Jicell Port. The results of this study are as follows. First, all three sub-factors of regional festival service quality, such as confidence, empathy, and credibility, had a positive effect on participation behavior. Second, the result of the moderating effect of the influence of involvement on the quality of service and visitor participation behavior of local festivals is based on the individual moderating effects of service quality and visitor participation behavior. There was a moderating effect. Visitors should be aware of the program, which is faithful to the festival's original purpose, and provide visitors with information about the festival quickly and accurately to feel the efficacy of participating in the festival. And The more satisfied the tourists who visited the local festivals, the more likely it will be to be a successful and successful festival. By speeding up, unexpected positive customer behavior will come from places that are not important.

• Smart Media Journal
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• v.11 no.7
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• pp.28-38
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• 2022

The term 'fourth industrial revolution' was mentioned at the World Economic Forum (WEF) in 2016 and has become a term representing a new industrial era based on information and communication technology (ICT). In the environment of the 4th industrial revolution, ESG management activities are becoming a very important factor in business activities. With the emergence of a new paradigm of organizational operation in the post Covid19 era, the demands for ESG (Environment, Social, Governance) investment related to the environment, social responsibility are increasing. This study examines the role that can support ESG management by utilizing the expertise of appraisers. Real estate is one of the fields of high public interest, and since most ESGs have been conducted centered on the role of private companies, the role of the expert group or the role of public corporations and public institutions is relatively insufficient. If a company or general company engaged in the real estate investment business establishes the role of the Korea Appraisers Association to revitalize ESG management using appraisers, such as ESG appraisers, when investing in real estate, it is believed that it will be possible to promote efficient and sound development of the real estate industry. It was judged that a study on a group of experts was also necessary. In addition, even if the impact of Covid-19 is excluded, it is necessary to gradually introduce an appraisal using non-face-to-face or various advanced technologies (the 4th industry). This study differs from previous studies in that it focused on the role of ESG by the Korea Association of Property Appraisers while research on the role of ESG in public institutions or expert groups is being actively conducted in recent years.

• Journal of Korea Entertainment Industry Association
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• v.6 no.4
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• pp.82-92
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• 2012

Recently people who enjoy social game via mobile devices significantly are increasing depending on the rapid adoption of smart phones and the development of the network such as LTE. Most of them are enjoying the casual gaming mobile social games that you are able to play easily, but social issues like health problems due to long play time are emerging. The users, however, do not last long because of the simplicity of the game, and there are few people who actually buy game items even though they play it long time. This study has been conducted aiming to overcome such difficulties. This study suggests ways to generate constantly revenue avoiding short-term box-office after the release of mobile social games based on the analysis for market trend and profitability of the mobile social game. In addition, by applying profitability model analyzed to Japan's most successful game practices, this paper suggests the concrete methods about the commitment of the users. For summarizing the main achievements of this paper, providing the latest market information about mobile social games, analysis of profitability, practical implications for the commitment of the users are presented.

• Asia Marketing Journal
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• v.7 no.1
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• pp.21-42
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• 2005

Customer Relationship Management (CRM) is a corporate marketing strategy maintaining and managing customers. And with CRM companies maximize the customer's value through a series of processes of new customer retention, VIP customer retention, customer value increase, potential customer activation, and customers for lifetime by collecting the customer information and taking advantage of it effectively. In particular, as the competitive environment is changing rapidly and getting more intense, maintaining the customer retention through customer churn management becomes more important in order to increase the customer value for maximizing the company's profit and to build up the relationship with customers. For example, the financial industry has managed the customer churn with the concept of customer segmentation. Recently the customer retention and churn management is becoming increasingly important in all business fields as well as financial industry since the companies expect the effect of preventing the customer churn by identifying characteristics of customers. However, despite the increasing interest and importance of the management of the customer churn, not many of studies are systematically executed by analyzing the data of customer churn. In this study we analyze the actual data of CRM activities for the customer retention, specifically the data of TV home-shopping. By doing so, we hope to identify the differences of demographic attributes and transaction specific characteristics in consumer behaviors between the churning customer and the retained customers. In addition, we try to find out the variables which can impact the churning of the customers and to predict the churn rate of individual customer through our proposed model of customer churn. In the end, based on our findings we suggest the possible marketing strategies for TV home-shopping companies.

• Informatization Policy
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• v.30 no.4
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• pp.40-61
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• 2023

The adoption of smart factories and smart manufacturing as strategies to enhance competitiveness and stimulate growth in the manufacturing sector is vital for a country's future competitiveness and industrial transformation. The government has consistently pursued smart manufacturing innovation policies starting with the Manufacturing Innovation 3.0 strategy in the Ministry of Industry. This study aims to identify policy areas for smart factories and smart manufacturing based on technical standards. Analyzing policy areas at the current stage where the establishment and support of domestic standards aligning with international technical standards are required is crucial. By prioritizing smart manufacturing process areas within the industry, policymakers can make well-informed decisions to advance smart manufacturing without blindly following international standardization in already well-established areas. To achieve this, the study utilizes a hierarchical analysis method including expert interviews and importance-performance analysis for the five major process areas. The findings underscore the importance of proactive participation in standardization for emerging technologies, such as data and security, instead of solely focusing on areas with extensive international standardization. Additionally, policymakers need to consider carbon emissions, energy costs, and global environmental challenges to address international trends in export and digital trade effectively.

• Safety and Health at Work
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• v.14 no.4
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• pp.451-456
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• 2023

Background: We conducted a case-control study to identify high-risk occupations and exposure to occupational hazards for acute myeloid leukemia (AML). Methods: When patients with AML admitted to the Department of Hematology in the study hospital for the first time are referred to the Department of Occupational and Environmental Medicine, data on occupation are collected by investigators to evaluate work-relatedness. Community-based controls were recruited through an online survey agency, and four controls per case were matched. Occupational information was estimated using structured questionnaires covering 27 specific occupations and 32 exposure agents. Conditional logistic regression analysis was performed by pairing cases and controls. Results: In the analysis of the risk of AML according to occupational classification, a significant association was found in paint manufacturing or painting work (OR = 2.22, 95% CI: 1.03-4.81) and aircrew (OR = 6.00, 95% CI: 1.00-35.91) in males, and in pesticide industry (OR = 6.89, 95% CI: 1.69-28.07) and cokes and steel industry (OR = 2.00, 95% CI: 1.18-22.06) in ≥60 years old. Moreover, the risk of AML increased significantly as the cumulative exposure to thinners increased. In the analyses stratified by sex and age, the association between pesticide exposure and AML was significant in males (OR = 3.28, 95% CI: 1.10-9.77) and in ≥60 years old (OR = 6.22, 95% CI: 1.48-26.08). Conclusion: This case-control study identified high-risk occupational groups in the Republic of Korea including paint manufacturers and painters, aircrew, and those who are occupationally exposed to pesticides or paint thinners.

• Journal of Radiation Industry
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• v.17 no.1
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• pp.33-44
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• 2023

The deep geological repository of high-level radioactive waste shall be designed to meet the safety objective set in the form of radiation dose or corresponding risk to protect human and the environment from radiation exposure. Engineering feasibility and conformity with the safety objective of the facility conceptual design can be demonstrated by comparing the assessment result using the computational model for scenario(s) describing the radionuclide release and transport from repository to biosphere system. In this study, as the preliminary study for developing the high-level radioactive waste disposal facility in Korea, we reviewed and analyzed the entire list of FEPs and how to handle each FEP from a general point of view, which are selected for the geosphere region in the radiological safety assessment performed for the license application of the KBS-3 type deep geological repository in Finland and Sweden. In Finland, five FEPs (i.e., stress redistribution, creep, stress redistribution, erosion and sedimentation in fractures, methane hydrate formation, and salt exclusion) were excluded or ignored in the radionuclide release and transport assessment. And, in Sweden, six FEPs (i.e., creep, surface weathering and erosion, erosion/sedimentation in fractures, methane hydrate formation, radiation effects (rock and grout), and earth current) were not considered for all time frames and earthquake out of a total of 25 FEPs for the geosphere. Based on these results, an FEP list (draft) for the geosphere was derived, and the relative importance of each item was evaluated for conducting the radiological safety assessment of the domestic deep geological disposal facility. Since most of information on the disposal facility in Korea has not been determined as of now, it is judged that all FEP items presented in Table 3 should be considered for the radiological safety assessment, and the relative importance derived from this study can be used in determining whether to apply each item in the future.

• Journal of Service Research and Studies
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• v.14 no.3
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• pp.1-18
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• 2024

Recent discussions regarding smart tourism have gained significant momentum in tourism policy and industry; however, knowledge production in this research area remains fragmented and sporadic. This study aims to analyze trends in smart tourism research published in domestic KCI journals up to the end of July 2024 through a systematic literature review, proposing future research tasks to foster academic development. The analysis addresses both the quantitative and qualitative dimensions of smart tourism research, particularly focusing on tourism journals where the terms and concepts are prominent in policy and industry contexts, while also diagnosing the related research paradigms. The findings indicate that the term "smart tourism" began to prominently appear in research titles, topics, keywords, and abstracts as early as 2014. Among the 126 studies analyzed, research related to tourism constituted the largest share, accounting for 30.2%. However, due to the interdisciplinary nature of smart tourism, research has also emerged from various academic fields, including business studies, design, information communication, and computer science. Research on smart tourism has appeared in tourism journals since 2015, predominantly adopting a positivist research paradigm with an emphasis on quantitative methodologies that often utilize surveys. Additionally, the study reveals a pre-paradigm stage within smart tourism research, characterized by insufficient comprehensive conceptual and theoretical development. This stage has also restricted discussions on various ontological, epistemological, methodological, and interpretive issues. The theories mainly employed draw from established behavioral models, such as the Technology Acceptance Model, the Extended Technology Acceptance Model, and the Technology Readiness Model. Based on these findings, the study suggests future research directions for tourism scholars to determine whether smart tourism will solidify as a sustainable research topic or merely be regarded as a transient trend within tourism studies over the next decade.

• Journal of the Korean Society of Marine Environment & Safety
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• v.30 no.5
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• pp.415-425
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• 2024

The global maritime industry is developing rapidly owing to the emergence of autonomous ship technology, and interest in utilizing artificial intelligence derived from marine data is increasing. Among the diverse technological developments, ship-route clustering is emerging as an important technology for the commercialization of autonomous ships. Through route clustering, ship-route patterns are extracted from the sea to obtain the fastest and safest route and serve as a basis for the development of a collision-prevention system. High-quality, well-processed data are essential in ensuring the accuracy and efficiency of route-clustering algorithms. In this study, among the various route-clustering methods, we focus on the ship-route-similarity-based clustering method, which can accurately reflect the actual shape and characteristics of a route. To maximize the efficiency of this method, we attempt to formulate an optimal combination of data-preprocessing technologies. Specifically, we combine four methods of measuring similarity between ship routes and three dimensionality-reducing methods. We perform k-means cluster analysis for each combination and then quantitatively evaluate the results using the silhouette index to obtain the best-performing preprocessing combination. This study extends beyond merely identifying the optimal preprocessing technique and emphasizes the importance of extracting meaningful information from a wide range of ocean data. Additionally, this study can be used as a reference for effectively responding to the digital transformation of the maritime and shipping industry in the Fourth Industrial Revolution era.