• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.485-494
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• 2021

This study aimed to examine the effect of selected factors on confidence in nursing performance among new operating room nurses, with a focus on the mediating effect of learning flow. Data was collected from July to August 2019 using structured questionnaires. The participants were 250 new operating room nurses from university hospitals located in Incheon and Gyeonggi. The collected data was analyzed using the IBM SPSS Statistics 25.0 and AMOS 24.0. Structural equation modeling was performed to examine the effect of the selected factors namely web-based video programs on confidence in nursing performance, and the mediating effect of learning flow. Results: The factors of 'hygiene & safety' and 'patient care' from the web-based video programs had a positive effect on the learning flow. The higher the learning flow of the nurses, the greater their confidence in nursing performance. Just the 'hygiene & safety' factor significantly increased nursing performance. Conclusion: The study results suggest that new nurses perceive that 'hygiene & safety' is an important factor in building their confidence in nursing performance, even without the learning flow. Therefore, it is necessary to develop web-based video programs based on nurses' needs and to emphasize the importance of postoperative care.

• International Area Studies Review
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• v.21 no.2
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• pp.97-120
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• 2017

This study attempted to examine how Chinese consumers' brand authenticity of Korean cosmetic brands are related to brand loyalty through brand aura. In other words, this study observed how Chinese consumers' brand authenticity, which includes product, employee and corporate authenticity related to Korean cosmetic brands, influence on the consumers' brand loyalty through brand aura. To this end, we surveyed Chinese consumers visiting Korean cosmetic brand shops in department stores, discount stores and large shopping malls in Beijing, Shanghai, Guangzhou in China. A total of 400 surveys were used in the empirical analysis. The results of empirical analysis confirmed that product, employee, and corporate authenticity of Chinese consumers have for Korean cosmetic brands positively influenced on brand aura. Furthermore, results showed that Chinese consumers' brand aura of Korean cosmetic brands had a positive effect on brand loyalty. The results of this study provide implications to help Korean cosmetic companies gain a competitive edge in the Chinese cosmetic market by understanding Chinese consumers' authenticity of their brands and building brand images and using differentiated marketing strategies that can induce brand aura.

• Knowledge Management Research
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• v.22 no.2
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• pp.227-246
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• 2021

In the context of the global pandemic caused by COVID-19, emergency alert text messages can violate the privacy of confirmed corona positive cases. This study used conjoint analysis to identify the essential information factors and the privacy invasion information factors of local government initiated safety notices. As a result of this study, we found eight essential information factors, including all routes of the confirmed case and ten privacy invasion factors of safety notices. In addition, we found that there is a similarity between the combinations of information perceived to be the most essential and perceived as the most significant privacy invasion; both combinations include the confirmed case's personal and route information. This study ultimately tried to suggest a way to lower the concern about privacy invasion of the confirmed cases without damaging the emergency alert text messages' essential information. We expect that this study will provide researchers and policymakers interested in disaster communication with valuable theoretical and practical implications.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.369-375
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• 2022

Due to the so-called COVID-19 pandemic, railway service management has also faced an unprecedented situation over the past. This study conducted a survey of customers using high-speed railways during the COVID-19 pandemic to explore the impact of infectious diseases on the railway service customer experience. As a result, customer satisfaction and loyalty increase as customers are more aware of the quarantine-related services provided by railway operators. The moderating role of customer's COVID-19 risk perception was examined as well because there are individual differences in the level of thinking dangerously about Covid-19. As a result, the perceived level of the service's quarantine-related services has a significant impact on customer satisfaction when the customer's risk perception of Covid-19 is at an appropriate level, but its impact is relatively weak when the customer's risk perception is significantly high. Eventually, only the complete extinction of COVID-19 risk will bring a complete recovery to the service industry. Nevertheless, during the epidemic period, it was confirmed that the main service characteristics are that the service operator thoroughly conducts quarantine activities and faithfully communicates with customers.

• Journal of the Korean GEO-environmental Society
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• v.24 no.4
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• pp.23-29
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• 2023

Ground subsidence shows a mechanism in which the upper ground collapses due to the formation of a cavity due to the movement of soil particles in the ground due to the formation of a waterway because of damage to the water supply/sewer pipes. As a result, cavity is created in the ground and the upper ground is collapsing. Therefore, ground subsidence frequently occurs mainly in downtown areas where a large amount of underground facilities are buried. Accordingly, research to predict the risk of ground subsidence is continuously being conducted. This study tried to present a ground subsidence risk prediction model for two districts of ○○ city. After constructing a data set and performing preprocessing, using the property data of underground facilities in the target area (year of service, pipe diameter), density of underground facilities, and ground subsidence history data. By applying the dataset to the machine learning model, it is evaluated the reliability of the selected model and the importance of the influencing factors used in predicting the ground subsidence risk derived from the model is presented.

• Information Systems Review
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• v.23 no.3
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• pp.97-125
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• 2021

Blockchain is a core technology to solve personal information leakage and data management issues, which are limitations of existing Genomic Sequencing services. Due to continuous cost reduction and deregulation, the market size of Genomic Sequencing has been increasing, also the potential of services is expected to increase when Blockchain's security and connectivity are combined. We created our research model by combining the Technology Acceptance Model (TAM) and the Innovation Resistance Theory also analyzed the factors affecting the acceptance intention and innovation resistance of the Blockchain Based Genomic Sequencing Information Platform. A survey was conducted on 150 potential users of Blockchain and Genomic Sequencing services. The analysis was conducted by setting the four Blockchain variables: Security, transparency, availability, and diversity). Also, we set the Perceived Usefulness, Perceived risk, and Perceived Complexity for Technology Acceptance and Innovation Resistance variables and analyzed the effect of the characteristics of the Blockchain on acceptance intention and innovation resistance through these variables. Through this analysis, key variables that need to be considered important to reduce resistance and increase acceptance intention could be identified. This study presents innovation factors that should be considered in companies preparing a new Blockchain Based Genomic Sequencing Information Platform.

• Sim-seong Yeon-gu
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• v.29 no.1
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• pp.46-81
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• 2014

The 'Woencheongang-Bonpuri' is one of the shamanistic myths in Cheju Island. That is a history of ancestor God of the 'Woencheongang'. This myth contains a shaman's initiation. And we can find important archetypal images in it. There are a child, old wise woman, book, water, tree, snake, Yakwangju which is a gem that emits light in the dark, dragon, hierogamy, goddess, time, etc. I've tried to interpret these images through the method of amplification from the perspective of analytical psychology. A heroine of this shamanistic myth is 'Ohnuri' that means 'today'. When she came out from the earth, she was a 'abandoned child' which is a 'hero-motif' in the fairytale and also a theme of individuation process in the analytical psychology. In the mean time, she grew up with helps of the nature, crane, and 'Yakwangju'. One day, she was found in the field by the people. They gave her a name of 'Ohnuri' and one day, an old wise woman told her how to go to her parents. On her way to the 'Woencheongang' where her parents regulate four seasons, she had met many characters which were in stuck. They told willingly Ohnuri a way to go to the 'Woencheongang'. Instead, they wanted to get solutions of their difficult problems. Finally, she met her parents in the 'Woencheongang' with joy and they taught her how to solve problems. Therefore, all characters in this myth could go on their own individuation process fortunately with help of the Whoencheongang's wisdom. In the meanwhile, Ohnuri got Lotus and Yakwangju and then she transformed to the goddess of the highest of the heavenly gods. Then she had helped people who get in trouble. In this way, the 'Woencheon-Bonpuri' was psychologically interpreted from aspect of analytical psychology.

• The Journal of the Acoustical Society of Korea
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• v.28 no.8
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• pp.697-705
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• 2009

An unsupervised (blind) method is proposed aiming at extracting rhythmic sources from commercial polyphonic music whose number of channels is limited to one. Commercial music signals are not usually provided with more than two channels while they often contain multiple instruments including singing voice. Therefore, instead of using conventional modeling of mixing environments or statistical characteristics, we should introduce other source-specific characteristics for separating or extracting sources in the under determined environments. In this paper, we concentrate on extracting rhythmic sources from the mixture with the other harmonic sources. An extension of nonnegative matrix factorization (NMF), which is called nonnegative matrix partial co-factorization (NMPCF), is used to analyze multiple relationships between spectral and temporal properties in the given input matrices. Moreover, temporal repeatability of the rhythmic sound sources is implicated as a common rhythmic property among segments of an input mixture signal. The proposed method shows acceptable, but not superior separation quality to referred prior knowledge-based drum source separation systems, but it has better applicability due to its blind manner in separation, for example, when there is no prior information or the target rhythmic source is irregular.

• Information Systems Review
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• v.24 no.3
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• pp.43-68
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• 2022

With the growing demand for online food delivery (OFD) services via Online to Offline (O2O) platforms, it is required for academic researchers to identify the success factors of OFD businesses. In line with this, this research examines the impact of the core service attributes of a restaurant (hygiene, interactivity, trust,and popularity) on business success in the OFD platform context from the perspective of information asymmetry. Furthermore, the moderating effects of hygiene factor between the core service attributes and the success of restaurants are evaluated. We utilize 1,146 restaurants registered on the largest OFD platform in Korea. The results of this study demonstrate that hygiene (certification), trust (franchise), popularity (favorite) factors have positive impacts on the success of OFD businesses. Moreover, we find that franchise restaurants with high response rates to customer reviews and inquiries achieve higher sales when they have hygiene certifications than those without the certification do. The key findings bear significant contributions to prior literature by empirically substantiating the pivotal role of service quality signals in fostering restaurant success on the OFD platforms. In addition, this study provides business implications for restaurants in O2O platform.

• Journal of Intelligence and Information Systems
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• v.27 no.2
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• pp.55-78
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• 2021

Tosolve complex and diverse social problems and ensure the quality of life of individuals, social robots that can interact with humans are attracting attention. In the past, robots were recognized as beings that provide labor force as they put into industrial sites on behalf of humans. However, the concept of today's robot has been extended to social robots that coexist with humans and enable social interaction with the advent of Smart technology, which is considered an important driver in most industries. Specifically, there are service robots that respond to customers, the robots that have the purpose of edutainment, and the emotionalrobots that can interact with humans intimately. However, popularization of robots is not felt despite the current information environment in the modern ICT service environment and the 4th industrial revolution. Considering social interaction with users which is an important function of social robots, not only the technology of the robots but also other factors should be considered. The design elements of the robot are more important than other factors tomake consumers purchase essentially a social robot. In fact, existing studies on social robots are at the level of proposing "robot development methodology" or testing the effects provided by social robots to users in pieces. On the other hand, consumer emotions felt from the robot's appearance has an important influence in the process of forming user's perception, reasoning, evaluation and expectation. Furthermore, it can affect attitude toward robots and good feeling and performance reasoning, etc. Therefore, this study aims to verify the effect of appearance of social robot and consumer emotions on consumer's attitude toward social robot. At this time, a social robot design evaluation model is constructed by combining heterogeneous data from different sources. Specifically, the three quantitative indicator data for the appearance of social robots from the ABOT Database is included in the model. The consumer emotions of social robot design has been collected through (1) the existing design evaluation literature and (2) online buzzsuch as product reviews and blogs, (3) qualitative interviews for social robot design. Later, we collected the score of consumer emotions and attitudes toward various social robots through a large-scale consumer survey. First, we have derived the six major dimensions of consumer emotions for 23 pieces of detailed emotions through dimension reduction methodology. Then, statistical analysis was performed to verify the effect of derived consumer emotionson attitude toward social robots. Finally, the moderated regression analysis was performed to verify the effect of quantitatively collected indicators of social robot appearance on the relationship between consumer emotions and attitudes toward social robots. Interestingly, several significant moderation effects were identified, these effects are visualized with two-way interaction effect to interpret them from multidisciplinary perspectives. This study has theoretical contributions from the perspective of empirically verifying all stages from technical properties to consumer's emotion and attitudes toward social robots by linking the data from heterogeneous sources. It has practical significance that the result helps to develop the design guidelines based on consumer emotions in the design stage of social robot development.