• Journal of Korean Philosophical Society
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• v.142
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• pp.51-74
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• 2017

As the phrase 'solitude death' implies, solitude generally has a negative characteristic as an object to avoid. But on the contrary, Nietzsche attempts to accept solitude and even affirms it in his overall philosophy. This study is about the authentic meaning of Nietzsche's solitude concept, aiming to clarify what true meaning solitude has to Nietzsche. This study will examine the 'external situation that humans face today' first. To do this, the study will consider the situation that humans who lost the earth and homeland faced in the period when God is dead. This study will then look at 'memory' and 'oblivion', as human's internal situations. And following that, this study will examine what meaning 'creativity' has to Nietzsche, which has a close relationship with those internal situations. Lastly, the meaning that 'body' and 'dance' imply to Nietzsche and what relationship these have with true solitude will be presented. Human is the being who can not avoid solitude whether they want it or not. Even though we make whatever effort we can to run away, solitude is unavoidable. The smart phone that makes me feel emptiness when I don't hold it on my hands, the hobbies which attract and force us to do, and new products which make us feel lonely if we don't buy them, don't they prove these efforts? What meaning does solitude have to humans that we have no other way but to run away from it like this? By understanding the authentic meaning of Nietzsche's solitude concept, we can change our view point on solitude so we can eventually accept 'solitude' as something that we must truly embrace and affirm, instead of something we must run away from.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.111-122
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• 2019

This study suggests that even if the consulting is started by the consulting of the company, it is difficult for the consulting firm to operate the consulting firm Consulting performance differs depending on the degree of understanding of consulting. Although consulting firms have been studying various prior research papers in view of the fact that there are many cases where they proceed with the sales strategy of repurchasing in mind, most of them deal with research on consulting performance on the supplier side, The purpose of this study is to investigate whether a company has a high level of participation in consulting in the event of a situation or situation and consequently influences the intention to purchase consulting. In order to find out whether they are visible, the reliability of the measured values and the fit of the measurement model by CFA were obtained through the exploratory factor analysis. The results were as follows: The results of this study are as follows. As a result of the study, it is necessary for the consultant to improve the participation of the consulting company and the understanding of the consulting in order to increase the intention of the consulting repurchase intention. Since the consultant shows the result in an empirical way, the consulting company participates in the role and process The results of this study are as follows. First, it is suggested that firms should be very careful about the participation and consulting understanding because they affect the repurchase intention of consulting firms.

• Convergence Security Journal
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• v.21 no.3
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• pp.75-80
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• 2021

This study provided personnel and recruitment information related to job offer and job hunting, and proposed a non-face-to-face platform that can facilitate matching of one-time services as well as periodic services. The existing recruitment and job search method for personal assistant of the disabled is a one-way matching method in which a person in charge of the service providing centers assigns an activity assistant belonging to the institution when a consumer requests an personal assistant service, so the choice of job seekers is very weak. The job matching platform of the activity assistant for the disabled can be logged in separately by dividing users and separating them into the interface of the disabled or the disabled family members (job seekers) and activity assistants for the disabled (job seekers). Search for job offer and job seekers that meet their respective conditions, and real-time bidirectional decision-making through the chat function, and when the activity assistance service is completed, recruiters and job seekers can write service reviews and evaluations from their own point of view. The real-time interactive decision-making matching platform will also help minimize blind spots where it is difficult to provide services when short-term or one-time assistance is needed.

• Journal of the Society of Disaster Information
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• v.17 no.2
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• pp.289-305
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• 2021

Purpose: The purpose of this study is to check the importance of higher level, sub higher level and lower alternative factor and the factor for relieved life and also check the comprehensive priority in executed "Safety and relieved life level improvement of apartment house residents by AHP analysis". Method: The safety management evaluation elements and alternatives have been arranged as hierarchical structure based on the preceding studies and the advice of experts for the maintenance and system of apartment house in this study. Study model is used for the survey of pair wise comparison composition targeting experts and AHP analysis method is used for alternative plan ranking, etc. Result: The response result of survey secured the consistency and it is confirmed that safety inspection for apartment house electricity facility is most important for higher level, safety inspection, detailed inspection and diagnosis evaluation are most important for sub higher level and plumbing equipments is most important for alternatives based on the analysis result of relative weight comparison for sub higher level and alternatives for final goal attainment of the study. Conclusion: Plumbing equipments, crime prevention safety and electrical safety are shown as top priority alternatives when observe it with expert manager's point of view for apartment house. It shows that securing the importance of living safety accident and deciding the level of relieved life can be improved are the alternatives of pre-prevention and management strengthening.

• The Korean Journal of Franchise Management
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• v.11 no.2
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• pp.41-51
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• 2020

Purpose: Fast food franchise companies are trying a variety of innovative services to increase their competitiveness in response to changes in population composition in the fast food market and rapid changes in consumption trends due to technological development. From this point of view, franchise companies that have focused on offline store operations are providing O2O (offline to online) service as a core service for customer convenience. This new attempt is a strategy to increase loyalty by applying an interaction method based on understanding the characteristics of new generation consumers. However, existing studies are focused on the relationship between O2O service and acceptance, so very little is known about how O2O service affects customer loyalty. Therefore, this study examines the impacts of customer involvement and relative advantages of fast food O2O service on customer brand engagement (cognitive and affective engagement) and store loyalty for MZ(Millennials - Z) generations. Research design, data, and methodology: In order to achieve the purposes of this research, several hypotheses were developed. The data were collected from 247 questionnaires in their 16-30s and were analyzed using SPSS 22.0 and SmartPLS 3.0 program. Measurement model analysis was carried out to assess convergent and discriminant validity. Also, common method bias was tested using the values of VIF (variance inflation factor). The hypotheses was tested using structural equation modeling. Result: First, involvement has a positive effect on cognitive and affective engagement. Second, relative advantages have has a positive effect on cognitive and affective engagement. Third, cognitive influences affective engagement. Finally, both cognitive and affective engagement affect store loyalty, but affective engagement has a stronger effect on store loyalty than cognitive engagement. Conclusions: In the process of consumer-brand interaction, it was confirmed that store loyalty was influenced by cognitive and affective engagement sequentially. However, the results show that affective engagement has a relatively stronger on store loyalty than cognitive engagement. Therefore, it is necessary to establish an O2O service strategy to maintain long-term loyal customers by inducing cognitive participation with high-involved consumer, as well as affective interaction, in order to obtain new customers and increase customer loyalty.

• The Korean Journal of Archival Studies
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• no.73
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• pp.47-79
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• 2022

NFT is literally a 'non-fungible token', a digital file that records specific virtual assets on a blockchain. Events such as ownership of the asset and transaction history are recorded on the blockchain through the token transaction, so counterfeiting and falsification are impossible. Therefore, NFT is used as a tool that can uniquely represent a specific virtual asset. The main purpose of this paper is to examine the characteristics of NFT from a records management point of view and to find ways to use them, and focuses on digital records that have the characteristics of assets as digital works. For this purpose, we first examine the basic concept of NFT and the principle of ownership and proof of value as an asset for digital works. In addition, it was confirmed how the advantages of NFT were applied through NFT use cases in various fields, and in particular, areas related to audio-visual records such as art, music, sports, and fashion were focused on. Furthermore, by comparing the characteristics of digital records with those of NFT, factors applicable to electronic records were identified. Finally, the types of digital records that are expected to be effective in the application of NFT were identified, and the possibility of their use and discussion points for introduction in records management are presented.

• Journal of Convergence for Information Technology
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• v.11 no.8
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• pp.36-41
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• 2021

Although the technology for prediction or analysis using artificial intelligence is constantly developing, a black-box problem does not interpret the decision-making process. Therefore, the decision process of the AI model can not be interpreted from the user's point of view, which leads to unreliable results. We investigated the problems of artificial intelligence and explainable artificial intelligence using Blockchain to solve them. Data from the decision-making process of artificial intelligence models, which can be explained with Blockchain, are stored in Blockchain with time stamps, among other things. Blockchain provides anti-counterfeiting of the stored data, and due to the nature of Blockchain, it allows free access to data such as decision processes stored in blocks. The difficulty of creating explainable artificial intelligence models is a large part of the complexity of existing models. Therefore, using the point cloud to increase the efficiency of 3D data processing and the processing procedures will shorten the decision-making process to facilitate an explainable artificial intelligence model. To solve the oracle problem, which may lead to data falsification or corruption when storing data in the Blockchain, a blockchain artificial intelligence problem was solved by proposing a blockchain-based explainable artificial intelligence model that passes through an intermediary in the storage process.

• The Korean Journal of Franchise Management
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• v.13 no.2
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• pp.33-51
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• 2022

Purpose: The online market is growing the most in history due to the expansion of non-face-to-face commerce. In addition, as consumers' interest in health, food safety, and environment increases, interest in and consumption of eco-friendly agricultural products is also increasing. Therefore, in the case of a specialty store that sells eco-friendly organic agricultural products, a marketing strategy that can increase customer loyalty by reflecting these consumer needs is necessary. In this study, the store attributes of eco-friendly food stores are classified into location, assortment, price, quality, and employee service, and the effect of each store attribute on utilitarian and hedonic value is investigated. Research design, data, and methodology: The subjects of this study were customers who visited an eco-friendly food store. Of the 511 survey responses, 311 were used for statistical verification, excluding 200 who had not visited within the last 3 months. For statistical analysis, Smart PLS 3.0 was used, and after checking the validity and reliability of the items, hypothesis testing was performed. Result: As a result of the study, it was found that assortment, quality, and employee service among store attributes had a positive (+) effect on utilitarian and hedonic value. Second, location had no significant effect on utilitarian and hedonic value. Third, price did not appear to have a positive (+) effect on the utilitarian value, and it was found to have a positive (+) effect on the hedonic value. Fourth, It was investigated whether the presence or absence of delivery service had an effect on store attributes between utilitarian and hedonic value, and it was found that there was a significant effect between employee service and hedonic value. Conclusions: Among eco-friendly food store environment management will be required in order to provide food that meets the tastes and needs of consumers by diversifying the taste, standard, and quality grade of food, and to maintain or improve the quality. In order to unlike other stores, eco-friendly food stores have high price resistance from the point of view of consumers, so it is necessary to diversify promotional media such as YouTube and SNS to raise awareness of eco-friendly organic food.

• International journal of advanced smart convergence
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• v.11 no.1
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• pp.19-27
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• 2022

Across the world, 'housing' comprises a significant portion of wealth and assets. For this reason, fluctuations in real estate prices are highly sensitive issues to individual households. In Korea, housing prices have steadily increased over the years, and thus many Koreans view the real estate market as an effective channel for their investments. However, if one purchases a real estate property for the purpose of investing, then there are several risks involved when prices begin to fluctuate. The purpose of this study is to design a real estate price 'return rate' prediction model to help mitigate the risks involved with real estate investments and promote reasonable real estate purchases. Various approaches are explored to develop a model capable of predicting real estate prices based on an understanding of the immovability of the real estate market. This study employs the LSTM method, which is based on artificial intelligence and deep learning, to predict real estate prices and validate the model. LSTM networks are based on recurrent neural networks (RNN) but add cell states (which act as a type of conveyer belt) to the hidden states. LSTM networks are able to obtain cell states and hidden states in a recursive manner. Data on the actual trading prices of apartments in autonomous districts between January 2006 and December 2019 are collected from the Actual Trading Price Disclosure System of the Ministry of Land, Infrastructure and Transport (MOLIT). Additionally, basic data on apartments and commercial buildings are collected from the Public Data Portal and Seoul Metropolitan Government's data portal. The collected actual trading price data are scaled to monthly average trading amounts, and each data entry is pre-processed according to address to produce 168 data entries. An LSTM model for return rate prediction is prepared based on a time series dataset where the training period is set as April 2015~August 2017 (29 months), the validation period is set as September 2017~September 2018 (13 months), and the test period is set as December 2018~December 2019 (13 months). The results of the return rate prediction study are as follows. First, the model achieved a prediction similarity level of almost 76%. After collecting time series data and preparing the final prediction model, it was confirmed that 76% of models could be achieved. All in all, the results demonstrate the reliability of the LSTM-based model for return rate prediction.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.5
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• pp.28-41
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• 2022

A road system with CV(Connected Vehicle)s, which is often referred to as a cooperative intelligent transportation system (C-ITS), provides various road information to drivers using an in-vehicle warning system. Road environments with CVs induce drivers to reduce their speed or change lanes to avoid potential risks downstream. Such avoidance maneuvers can be considered to improve driving behaviors from a traffic safety point of view. Thus, empirically evaluating how a given in-vehicle warning information affects driving behaviors, and monitoring of the correlation between them are essential tasks for traffic operators. To quantitatively evaluate the effect of in-vehicle warning information, this study develops a method to calculate compliance rate of drivers where two groups of speed profile before and after road information is provided are compared. In addition, conventional indexes (e.g., jerk and acceleration noise) to measure comfort of passengers are examined. Empirical tests are conducted by using PVD (Probe Vehicle Data) and DTG (Digital Tacho Graph) data to verify the individual effects of warning information based on C-ITS constructed in Seoul metropolitan area in South Korea. The results in this study shows that drivers tend to decelerate their speed as a response to the in-vehicle warning information. Meanwhile, the in-vehicle warning information helps drivers to improve the safety and comport of passengers.