• The Korean Journal of Archival Studies
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• no.71
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• pp.49-89
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• 2022

This study suggests the necessity and domestic application plan a national authority database that promotes an integrated access, richer search, and understanding of historical information sources and archival resources distributed among cultural heritage institutions through the "Social Networks and Archive Context" project case. As the SNAC project was transformed into an international cooperative organization led by NARA, it was possible to secure a sustainable operating system and realize cooperative authority control. In addition, SNAC authority records have the characteristics of providing richer contextual information about life and history and social and intellectual network information compared to libraries. Through case analysis, First, like SNAC, a cooperative body led by the National Archives and having joint ownership of the National Library of Korea should lead the development and expand the scope of participating institutions. Second, in the cooperative method, take a structure in which divisions are made for each field with special strengths, but the main decision-making is made through the administrative team in which the two organizations participate. Third, development of scalable open source software that can collect technical information in various formats when constructing authority data, designing with the structure and elements of archival authority records, designing functions to control the quality of authority records, and building user-friendly interfaces and the need for a platform design reflecting content elements.

• The Korean Journal of Franchise Management
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• v.13 no.3
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• pp.31-43
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• 2022

Purpose: Service quality is a topic of constant interest in marketing research and practitioners. Service quality is an important factor influencing performance even in the context of coffee shops, and research on service quality management strategies continues by coffee shop researchers and practitioners. The service quality of coffee shops is a source of competitive advantage and is an important factor in enhancing customer and business performance. This study aims to identify the effects of cognitive evaluation on emotional and behavioral responses using a cognitive-emotional-behavioral framework and SOR model in the coffee shop context. Cognitive evaluation (service quality) consists of tangibles, responsiveness, assurance, reliability, and empathy dimensions. Research design, data, and methodology: In the proposed model, positive and negative emotions and satisfaction mediate the relationship between service quality and money to spend and visit frequency. The data were collected from customers who visited a coffee shop within the last 1 month. The survey was conducted for about one month. Among a total of 300 distributed questionnaires 261 responses were used for data analysis. The data were analyzed using frequency analysis, measurement model analysis, and structural equation modeling analysis with SPSS 28.0 and SmartPLS 4.0. Results: Tangibles, responsiveness, assurance, and empathy had significant positive effects on positive emotion, while only reliability had a significant negative effect on negative emotion. Both positive and negative emotions had significant positive effects on customer satisfaction, but not on money to spend and visit frequency. Lastly, customer satisfaction had significant positive effects on money to spend and visit frequency. Conclusions: The study revealed the relative weight of cognitive factors on customer emotions and confirmed the validity of SOR model. The fact that tangibility is the most important factor in increasing positive emotions and reliability is the most important factor in reducing negative emotions provides a direction for emotional branding strategies using the service quality mix of coffee shops. This study confirmed the full mediating role of satisfaction between positive and negative emotions and consumer behaviors (money to spend and visit frequency). This infers that when a coffee shop increases customer satisfaction through customer emotion management, the customer's money to spend and visit frequency in the coffee shop increases.

• Health Policy and Management
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• v.32 no.4
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• pp.368-379
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• 2022

Background: This study aimed to establish a strategy to improve the poor working environment and working conditions among long-term healthcare workers in Korea. Methods: A total of 600 questionnaires with which long-term health care workers participated in the targeted base areas of each city and province nationwide were distributed directly and 525 responses were collected and 506 responses were analyzed. Surveys, on-site field visits, and in-depth interviews were also conducted to understand the working environment as well as conditions and establish a strategy for improving the working environment among long-term healthcare workers to understand the demands of working conditions and working conditions. Results: Korean long-term care workers firstly and mostly enumerated their risk factors for ill-health when lifting or moving elderly recipients directly by hand (69.9%), followed by increased physical workload with old beds, tools, and facilities (42.3%) in the workplaces, shortage of manpower (32%), and source of infection (30%). To improve the working environment as well as conditions, Korean long-term care workers considered improving low-wage structures, ergonomic improvements to solve excessive physical loads, and increasing various bonus payments as well as implementing the salary system, positive social awareness, and increasing resting time. Of 506 responses, 92.3% replied that the long-term care insurance system for the elderly should be developed to expand publicization at the national level. Conclusion: This study proposes to improve the low-wage structure of Korean long-term care workers, automation and improvement of facilities, equipment, and tools to eliminate excessive physical loads (beneficiary elderly lifting), and reduction of night labor.

• The Journal of Engineering Geology
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• v.33 no.1
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• pp.39-49
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• 2023

Soil contaminants measured and managed in Korea include those of geologic origin such as arsenic, cadmium, copper, lead, zinc, nickel, mercury, and fluoride. This study identifies the distribution of these contaminants using GIS modeling to analyze the spatial probability of soil contamination originating from geology. The modeling found that cadmium, copper, lead, nickel, and mercury often exceed the regulated standard by <1%. Concentrations of arsenic and zinc greatly exceeded the standard in the vicinity of mines and industrial complexes: mining and industry seemed to have substantial effects on the concentrations of these metals. Although fluoride was sampled at the lowest number of points, its frequency of exceeding the standard was the highest. No obvious source of artificial contamination has been identified, and fluoride's distribution characteristics showed continuity over a wide area, suggesting a strong correlation between geological characteristics and fluoride concentration. The highest frequencies of fluoride exceeding the standard were in Jurassic granite (40.00%) and Precambrian banded gneiss (34.12%). As these rocks contributed to the formation of soil through their weathering, high fluoride concentrations can be expected in soil in areas where these rocks are distributed.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.19-36
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• 2023

As advances in information and communication technology have made it easier for anyone to produce and disseminate information, a new problem has emerged: fake news, which is false information intentionally shared to mislead people. Initially spread mainly through text, fake news has gradually evolved and is now distributed in multimedia formats. Since its founding in 2005, YouTube has become the world's leading video platform and is used by most people worldwide. However, it has also become a primary source of fake news, causing social problems. Various researchers have been working on detecting fake news on YouTube. There are content-based and background information-based approaches to fake news detection. Still, content-based approaches are dominant when looking at conventional fake news research and YouTube fake news detection research. This study proposes a fake news detection method based on background information rather than content-based fake news detection. In detail, we suggest detecting fake news by utilizing related video information from YouTube. Specifically, the method detects fake news through CNN, a deep learning network, from the vectorized information obtained from related videos and the original video using Doc2vec, an embedding technique. The empirical analysis shows that the proposed method has better prediction performance than the existing content-based approach to detecting fake news on YouTube. The proposed method in this study contributes to making our society safer and more reliable by preventing the spread of fake news on YouTube, which is highly contagious.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1243-1244
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• 2022

In recent years, the growing interest in off-site construction has led to factories scaling up their manufacturing and production processes in the construction sector. Consequently, continuous large-scale site monitoring in low-variability environments, such as prefabricated components production plants (precast concrete production), has gained increasing importance. Although many studies on computer vision-based site monitoring have been conducted, challenges for deploying this technology for large-scale field applications still remain. One of the issues is collecting and transmitting vast amounts of video data. Continuous site monitoring systems are based on real-time video data collection and analysis, which requires excessive computational resources and network traffic. In addition, it is difficult to integrate various object information with different sizes and scales into a single scene. Various sizes and types of objects (e.g., workers, heavy equipment, and materials) exist in a plant production environment, and these objects should be detected simultaneously for effective site monitoring. However, with the existing object detection algorithms, it is difficult to simultaneously detect objects with significant differences in size because collecting and training massive amounts of object image data with various scales is necessary. This study thus developed a large-scale site monitoring system using edge computing and a small-object detection system to solve these problems. Edge computing is a distributed information technology architecture wherein the image or video data is processed near the originating source, not on a centralized server or cloud. By inferring information from the AI computing module equipped with CCTVs and communicating only the processed information with the server, it is possible to reduce excessive network traffic. Small-object detection is an innovative method to detect different-sized objects by cropping the raw image and setting the appropriate number of rows and columns for image splitting based on the target object size. This enables the detection of small objects from cropped and magnified images. The detected small objects can then be expressed in the original image. In the inference process, this study used the YOLO-v5 algorithm, known for its fast processing speed and widely used for real-time object detection. This method could effectively detect large and even small objects that were difficult to detect with the existing object detection algorithms. When the large-scale site monitoring system was tested, it performed well in detecting small objects, such as workers in a large-scale view of construction sites, which were inaccurately detected by the existing algorithms. Our next goal is to incorporate various safety monitoring and risk analysis algorithms into this system, such as collision risk estimation, based on the time-to-collision concept, enabling the optimization of safety routes by accumulating workers' paths and inferring the risky areas based on workers' trajectory patterns. Through such developments, this continuous large-scale site monitoring system can guide a construction plant's safety management system more effectively.

• Journal of the Daesoon Academy of Sciences
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• v.25_1
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• pp.25-85
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• 2015

In this study, source criticism (an establishment of authentic text) of the Hyun-Mu Sutra(玄武經) among different editions is studied and an attempt of a new interpretation appropriate to that is attempted. The Hyun-Mu Sutra, a scripture written in 1909, began to communicate with the world through the religions of Jeungsanism. In particular, it was remarkable that The Hyun-Mu Sutra was absorbed as canon textbooks Jeonkyung(典經), the Scriptures of Daesoonjinrihoe, The Fellowship of Daesoon Truth(大巡眞理) from a loner and secret pull-out of heritage traditions. However, this scripture though written in 1909 and more than 100 years has passed, remained in a state unestablished authentic text. The Hyun-Mu Sutra is the scripture consisted of 25 pages by the religions of Jeungsanism[Gang Il-sun 姜一淳(1871~1909)]. 33 page type of Hyun-Mu Sutra has been distributed in the world until now the authentic text of The Hyun-Mu Sutra. However, as a result of the examination, diagnostic scripture(病勢文) was found to have been added by descendants. After a review of authentic text of The Hyun-Mu Sutra, it concluded that there is no diagnostic scripture in primary The Hyun-Mu Sutra. Though The Hyun-Mu Sutra is a booklet of a small amount, the notation and expression is so unique, it has been in secrecy to read its contents. Interpretation way of The Hyun-Mu Sutra up to now can be summarized in two as follows. 1) approaches by I-ching 2) approaches by ten celestrial stemps and twelve earthly branches(10干12支). Approaches by I-ching among this sometimes was supplemented with Buddhist classification methods. Nevertheless, these studies can be evaluated limited because it fails to secure authentic text of The Hyun-Mu Sutra. In this study, the contents of The Hyun-Mu Sutra was examined itemized by focusing on the following four points. 1) The icon of The Hyun-Mu Sutra(玄武經符) is similar as normal talisman(符籍) but it has other features. 2) 'Reverse Fonts'(反書體)[the opposite view of the standard fonts(正書體), reflected in the mirror fonts] and size or location used in text is not in uniform. 3) letters in scripture were pointed and points were stamped in the left and upper and lower characters. 4) "Spiritual poem" (詠歌, the Korean traditional music with a view of elegance as an origin of eco), and the music with the Five-Sounds[宮Gung, 商Sang, 角Gak, 徵Chi, 羽Wu) were related. As a result, content analysis of The Hyun-Mu Sutra is carried out in the next four points. 1) The icon of The Hyun-Mu Sutra (玄武經符) has been primarily developed by Jeungsan. 2) 'Reverse Fonts'(反書體)[the opposite view of the standard fonts(正書體), reflected in the mirror fonts] and reverse location such as '宙宇' [the reverse of '宇宙'] represents based on a new world based on a forward and reverse I-ching(正易). 3) Dot and neighbor points is a symbolic map that guides the position of lateral new world(後天) and era(人尊) 4) Spiritual poem is the entrance to achieve the Realization of Do(道通). The above can be considered as the results of this study.

• Korea Trade Review
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• v.41 no.5
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• pp.1-14
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• 2016

Consumers have been increasing their interests in firms' ethicality as well as in the features of the firms' products when they decide to purchase a certain product. Recently, fair trade is considered to be a type of ethical marketing in the business-to-consumer market. In this regard, the effects of fair trade-based marketing on firm performance have become the center of academic and managerial concerns. Despite this importance, few studies have investigated whether fair-trade is a source of competitive advantage or just a cost of doing business. The present research attempts to provide evidence of how fair trade-based marketing influences competitive advantage. Two experimental studies were conducted to explore consumers' purchase intention, which can be a proxy of competitive advantage, in a foreign product-consumption context. Drawing on the stakeholder theory, the first study was performed to examine the effects of fair trade marketing on consumers' purchase intention through a within-subjects design. In addition, building on the signal theory, the second study was executed to test the effects of a fair trade mark on consumers' purchase intention. The findings of the current research reveal that consumers prefer fair trade-based products to others and that when it comes to fair trade-certified products, consumers are more likely to purchase products with that certification than otherwise, even when those products are sold at higher costs than rival products. Interestingly, the results of this research present that there is a significant difference of consumers' purchase intention of a fair trade-based product between two different marketers. This implies that fair trade-based products should be differentially distributed and targeted at a certain type of consumers.

• The Korean Journal of Franchise Management
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• v.9 no.4
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• pp.21-31
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• 2018

Purpose - Recently, the franchise business has made remarkable progress, but many conflicts have occurred. From this perspective, this paper explains how to improve the long - term relationship between franchisor and franchisee by integrating the relationship between franchisor of franchise business and franchisee. This study aims to identify the franchisee's economic and social satisfaction and to examine their influences on calculative and affective commitment, and loyalty. At the end of this paper, theoretical and managerial implication were suggested. Research design, data, and methodology - The data were collected from owners and store managers in franchisees located in Seoul, Korea. The trained researchers contacted owners and managers of the franchise stores. The questionaires were distributed to owners and managers consented to respond. The collected questionnaires were used for the final analysis of 324 copies(243 store owners and 81 store managers), except for 26 copies of the untrustworthy response out of 350 copies. The data were analyzed with SPSS, 21.0 and SmartPls 3.0 Result - The results of the study are as follows. First, economic satisfaction effects both calculative and affective commitment, but social satisfaction does not. Second, both calculative and affective commitment have positive effects on loyalty. Third, economic satisfaction has a positive impact on loyalty, but social satisfaction does not. Conclusions - The implications of this study are following as: From the theoretical perspective, this study analyze the satisfaction and commitment of the franchisee from the multidimensional perspective by analyzing the effects of the franchisee on two dimensions of economic and social satisfaction and on calculative and affective commitment. That is, this study explains the trade-off between economica and social satisfaction, and between calculative and affective commitment. From the managerial perspective, the results of this study suggest that the economic satisfaction of the franchise headquarters felt by franchisees should be prioritized over social satisfaction. Especially at the early stage of the contract, economic satisfaction should be given priority over social satisfaction. However, since affective and calculative commitment have a significant effect on loyalty, social satisfaction factors should not be excluded by focusing on only economic ones. In other words, the franchisors should not only think of franchisees as a source of sales and profits, but should respect franchisees and maintain loyal relationships with friends.

• Korean Journal of Environmental Biology
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• v.41 no.3
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• pp.247-255
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• 2023

The occurrence of sudden strike pest events in urban areas is increasing as global warming intensifies, consequently, re causing harmful impacts. Studies on these incidents are fewer in number and insufficient compared to research on other nuisances such as mosquitoes and flies. Therefore, we conducted a study on the development of a selective collection method, using a filter layer to establish a monitoring system for Ephemera orientalis (Ephemeroptera: Ephemeridae), a species frequently identified as a sudden strike pest. Three sampling points were selected along the Hangang River in Namyangju, where E. orientalis outbreaks occur. Prototypes, consisting of four layers and with a light source attached to attract insects, were installed at each sampling point. Sampling was performed every 30 minutes between 19:00 and 22:30 in the month of June. The filter interval of each layer was adjusted so that the collected mayflies were distributed into specific layers. To evaluate the collection efficiency in line with the materials and the filter intervals, the optimal collection efficiency was investigated by combining two types of layer materials (stainless and acrylic) and filter intervals (1-5 mm). The optimal conditions were as follows: The selective collection efficiency was found to be highest at 96.5% when the interval of the selective target filter was 2.0 mm and there was one upper filter.