• Journal of Internet Computing and Services
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• v.25 no.1
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• pp.167-176
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• 2024

Chatbot services are used in various fields in connection with AI services. Security research on AI is also in its infancy, but research on practical security in the service implementation stage using it is more insufficient. This paper analyzes the security requirements for chatbot services linked to AI services. First, the paper analyzes the recently published papers and articles on AI security. A general implementation model is established by investigating chatbot services provided in the market. The implementation model includes five components including a chatbot management system and an AI engine Based on the established model, the protection assets and threats specialized in Chatbot services are summarized. Threats are organized around threats specialized in chatbot services through a survey of chatbot service managers in operation. Ten major threats were drawn. It derived the necessary security areas to cope with the organized threats and analyzed the necessary security requirements for each area. This will be used as a security evaluation criterion in the process of reviewing and improving the security level of chatbot service.

• Journal of Practical Engineering Education
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• v.16 no.1_spc
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• pp.51-58
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• 2024

This paper examines the differences between the Korean and American stock markets using the Kospi and S&P 500 indices and discusses policy implications through them. To this end, in addition to the existing time series analysis method, a deep learning method was used to compare markets, and the comparison was made in terms of stock price forecasting ability and data generation ability. In monthly data, the difference between time series was not large, and in daily data, the difference in terms of stability was weak, and there was no significant difference in predictive power or simulation data generation. As shown in the results of this study, if there is not much difference in market price movement patterns between Korea and the United States, tax benefits for long-term stocks investment will be effective against the side effects of short selling.

• Journal of Industrial Convergence
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• v.22 no.5
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• pp.49-56
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• 2024

The purpose of this study was to provide basic data for reducing daily stress and depression and improving happiness in middle-aged women by verifying the effect of daily stress on happiness and the mediating effect of depression. For the analysis, the 8th survey of the Women's Family Panel surveyed by the Korea Women's Policy Institute was used. For the sample, SPSS WIN 25.0 was used for 1,673 married middle-aged women aged 55 to 64. As for the analysis method, frequency, technical statistics, and correlation analysis were performed, and the mediating effect of depression was verified through Baron & Kenny's analysis method. The main analysis results are as follows. First, the stress daily of middle-aged women had a negative (-) effect on happiness. Second, Depression was partially mediated in the relationship between daily stress and happiness in middle-aged women. Based on these results, it is significant in that it presents practical and policy measures and programs that can improve middle-aged women's happiness and lead to old age.

• Information Systems Review
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• v.24 no.3
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• pp.1-21
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• 2022

This research investigates how a service provider's response(s) to negative customer reviews influences the success of accommodation services in the context of online accommodation reservation platforms. Specifically, we attempt to comprehend the important role of attentive and instant responses to users' negative review comments in fostering future success by analyzing panel data on 856 motels registered in the largest accommodation reservation platform in Korea. The results present that response volume (Attentiveness) and faster responses (Timeliness) are positively associated with success. We further find that the two review-response strategies have a positive interaction effect on success. Moreover, we show that the effect of review responses is strengthened when the reputation of motels drops. The key findings of this research offer a set of practical guidelines for accommodation owners to achieve business success by effectively managing customer reviews and claims

• Journal of Internet Computing and Services
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• v.25 no.2
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• pp.29-38
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• 2024

After Transcatheter Aortic Valve Replacement (TAVR), comprehensive management of complications, including the need for Permanent Pacemaker Implantation (PPI), is crucial, increasing the demand for accurate prediction models. Departing from traditional image-based methods, this study developed an optimal PPI prediction model based on ECG data using the XGBoost algorithm. Focusing on ECG signals like DeltaPR and DeltaQRS as key indicators, the model effectively identifies the correlation between conduction disorders and PPI needs, achieving superior performance with an AUC of 0.91. Validated using data from two hospitals, it demonstrated a high similarity rate of 95.28% in predicting PPI from ECG characteristics. This confirms the model's effective applicability across diverse hospital data, establishing a significant advancement in the development of reliable and practical PPI prediction models with reduced dependence on human intervention and costly medical imaging.

• Information Systems Review
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• v.22 no.2
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• pp.53-76
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• 2020

This article is an exploratory empirical study on the introduction of the Electronic Shelf Labels (ESL) system, which is spreading to offline stores as a new price information system for retail stores in Korea. In order to conduct this study, eight measurement items were derived from the IT-BSC perspective as performance factors, and the AHP technique was used as a method for relative evaluation of priorities among the items. The survey, which was conducted for about 1 year and 6 months, examined changes in store employees' perceptions of performance factors before and after the introduction of the ESL system. The results showed that there were differences in high priority items between before and after introduction. This study suggests academic implications in that the AHP technique is used to measure the change in the perception of post-performance and expectation factors for products and services, and this study also suggests practical implications by raising the need for continuous improvement of products and services for customer value propositions that change with the maturity of the experience.

• Journal of Industrial Convergence
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• v.22 no.6
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• pp.61-71
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• 2024

The study aimed to examine the mediating effect of ego resiliency and smartphone dependence in the relationship between children's attachment to mother and happiness. For the purpose, 1,143 research subjects were selected from the 12th data of the Korean Children's Panel surveyed by the Korea Institute of Child Care and Education. As for the analysis methods, frequency analysis, descriptive statistics analysis, and correlation analysis were executed, while the mediating effect was analyzed by applying Process Macro Model Number 4 analysis. The indirect effect of ego resiliency and smartphone dependence were verified by using boot-strapping. The findings are as follows. First, children's attachment to mother was found to increase their happiness. Second, ego-resilience was shown to play a partial mediating role in the relationship between children's attachment to mother and happiness. Third, the effect of children's attachment to mother on happiness was partially mediated by smartphone dependence. Based on the results, the study suggested the various practical programs to improve children's happiness.

• Journal of Industrial Convergence
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• v.22 no.6
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• pp.41-50
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• 2024

The objective of the study was to explain the effect of job fit on life satisfaction of wage workers and verify the mediating effect of job satisfaction between two variables. For the purpose, 7,202 research subjects were selected from the 23th data of the Korean Labor and Income Panel Study. Selected data was analyzed by various methods including frequency analysis, descriptive statistics analysis, and correlation analysis. Moreover, the mediating effect was verified by applying SPSS Macro Model Number 4 analysis and bootstrapping method. The major findings are as follows. First, job fit of wage workers was shown to enhance their life satisfaction. Second, work satisfaction of wage workers was revealed to play a complete mediating role in the relationship between job fit and life satisfaction of wage workers. On the basis of the results, the various practical programs to increase life satisfaction of wage workers were discussed.

• Journal of the Korea Institute of Building Construction
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• v.24 no.3
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• pp.363-370
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• 2024

The escalating frequency and intensity of natural disasters and extreme weather events due to climate change have caused increasingly severe damage to societal infrastructure and buildings. Government agencies and private companies are actively working to evaluate these damages, but existing technologies and methodologies often fall short of meeting the practical demands for accurate assessment and prediction. This study proposes a novel approach to assess building damage resulting from natural disasters, focusing on typhoons-one of the most devastating natural hazards experienced in the country. The methodology leverages deep learning algorithms to evaluate typhoon-related damage, providing a comprehensive framework for assessment. The framework and outcomes of this research can provide foundational data for the evaluation of natural disaster-induced damage over the entire life cycle of buildings and can be applied in various other industries and research areas for assessing risk of damage.

• Information Systems Review
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• v.21 no.3
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• pp.87-110
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• 2019

The Fintech services provide innovation to financial services users using various mobile devices and computers in wired and wireless communication environments. In this study, we develope a theoretical research framework to explain the psychology of Fintech services users based on a cognitive, affective, and conative framework. Using this framework, this study analyzes the relationships between the cognitive characteristics (i.e., innovation, relative advantage, ease of use, and usefulness), emotional characteristic (i.e., attitude), and behavioral characteristic (i.e., actual use) toward Fintech services users. This study conducted an online survey of people who have experienced using Fintech services. And the data of the collected Fintech services users was analyzed using structural equation model software (i.e., SMART PLS 2.0 M3). The results of the empirical analysis show the relationships between innovation, relative advantage, perceived usefulness, perceived ease of use, attitude, and actual use of Fintech service users. The results of this study provide useful information to improve the practical use of Fintech services users in the Internet of Things (IoT) environment.