• Journal of Family Relations
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• v.23 no.2
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• pp.3-28
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• 2018

Objectives: The study examined the mediated role of family functioning in the relation between fathers' and mothers' depression and drinking behaviors, and children's internalizing/externalizing problems and peer-play behavior. Methods: The study utilized data from the Panel Study on Korean Children(PSKC), namely Wave 5 data(N=1,703) for parental depression and drinking behavior, Wave 6 data(N=1,662) for family functioning, and Wave 7 data(N=1,620) for children's internalizing/externalizing problems and peer-play behavior. Results: Mothers' perceived family functioning mediated the relation between parental depression and boys' internalizing/externalizing problems. Second, fathers' perceived family functioning mediated the relation between parental depression and children's peer-play behavior. Third, only when both parents engaged in an above-average level of drinking behavior, did father perceive that their family functioning was low. Conclusions: This study showed the mediated effect of family functioning in the influence of parental depression and drinking behavior on children's developmental outcomes. The study ditermined that fathers and mothers played different roles in children's development, and found different mechanisms related to parental depression and their drinking behavior.

• Journal of the Korean Data and Information Science Society
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• v.22 no.6
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• pp.1199-1215
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• 2011

Relaxing an unrealistic assumption of a representative percolation model, this paper demonstrates that herd behavior leads to a high increase in volatility but not trading volume, in contrast with information flows that give rise to increases in both volatility and trading volume. Although detecting herd behavior has posed a great challenge due to its empirical difficulty, this paper proposes a new methodology for detecting trading days with herding. Furthermore, this paper suggests a herd-behavior-stochastic-volatility model, which accounts for herding in financial markets. Strong evidence in favor of the model specification over the standard stochastic volatility model is based on empirical application with high frequency data in the Korean equity market, strongly supporting the intuition that herd behavior causes excess volatility. In addition, this research indicates that strong persistence in volatility, which is a prevalent feature in financial markets, is likely attributed to herd behavior rather than news.

• Journal of Information Science Theory and Practice
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• v.10 no.1
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• pp.73-88
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• 2022

This exploratory study aims to understand the potential of log data analysis and expand its utilization in user research methods. Transaction log data are records of electronic interactions that have occurred between users and web services, reflecting information-seeking behavior in the context of digital libraries where users interact with the service system during the search for information. Two ways were used to analyze South Korea's National Digital Science Library (NDSL) log data for three days, including 150,000 data: a log pattern analysis, and log context analysis using statistics. First, a pattern-based analysis examined the general paths of usage by logged and unlogged users. The correlation between paths was analyzed through a χ² analysis. The subsequent log context analysis assessed 30 identified users' data using basic statistics and visualized the individual user information-seeking behavior while accessing NDSL. The visualization shows included 30 diverse paths for 30 cases. Log analysis provided insight into general and individual user information-seeking behavior. The results of log analysis can enhance the understanding of user actions. Therefore, it can be utilized as the basic data to improve the design of services and systems in the digital library to meet users' needs.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.1-9
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• 2022

In this paper, we propose the Deep Learning-Based Companion Animal Abnormal Behavior Detection Service, which using video and sensor data. Due to the recent increase in households with companion animals, the pet tech industry with artificial intelligence is growing in the existing food and medical-oriented companion animal market. In this study, companion animal behavior was classified and abnormal behavior was detected based on a deep learning model using various data for health management of companion animals through artificial intelligence. Video data and sensor data of companion animals are collected using CCTV and the manufactured pet wearable device, and used as input data for the model. Image data was processed by combining the YOLO(You Only Look Once) model and DeepLabCut for extracting joint coordinates to detect companion animal objects for behavior classification. Also, in order to process sensor data, GAT(Graph Attention Network), which can identify the correlation and characteristics of each sensor, was used.

• Korean Journal of Health Education and Promotion
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• v.27 no.1
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• pp.9-19
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• 2010

Objectives: This study is to identify the factors which affect children's preventive behavior for novel influenza A(H1N1) and to provide basic data to health education for children. Methods: The subject of this study were 551 children who were attending on the 4~6th grade in elementary school in Seoul. The data were collected using a self-reporting questionnaire for 5 days from October 12 through 16, 2009. Data were all digitized and analyzed using SPSS 17.0K. Results: As for relationship between preventive behavior and the other variables, correlations were observed with sensibility, self efficacy, respond efficacy and behavior intention, and it was statistically significant(p<.001). According to the result of analyzing factors affecting preventive behavior for Novel Influenza A(H1N1), it was affected by variables such as perceived threat, perceived efficacy, behavior intention. Behavior intention was the most influencing variable and has shown influence in order of self efficacy, sensibility, severity and respond efficacy as follows. Conclusion: The results showed effects on preventive behavior of perceived threat, perceived efficacy and behavior intention. It may be beneficial to improve empowerment for students to prevent influenza A(H1N1) by focusing on perceived threat, perceived efficacy, behavior intention.

• Journal of Distribution Science
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• v.20 no.1
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• pp.41-53
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• 2022

Purpose: This study has three main purposes: first, to examine the effect of transactional leadership on knowledge sharing and innovative work behavior. Second, to examine the effect of knowledge sharing on innovative work behavior. Third, to examine the mediating role of knowledge sharing in the relationship between transactional leadership and innovative work behavior. Research design, data and methodology: The quantitative method is considered appropriate for this study, and a questionnaire is used to collect data from a total of 107 employees who participated in the study. The SmartPLS-SEM version 3.0 is used to analyze data. Results: The results reveal that transactional leadership has a positive and significant effect on knowledge sharing. However, transactional leadership directly has no significant effect on innovative work behavior. In addition, knowledge sharing positively and significantly affects innovative work behavior. This finding demonstrates that knowledge sharing becomes an essential mediator of transactional leadership and innovative work behavior in distribution market. Conclusions: This study makes a novel contribution by unboxing the limited understanding of the effect of transactional leadership on innovative work behavior mediated by knowledge sharing in the lens of social exchange theory. Also, this study highlights that transactional leader develops bonding and willingness among employees to share their knowledge to foster innovative work behavior.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.35 no.1
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• pp.19-28
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• 2019

The purpose of this study is to evaluate the walking behavior analysis methodology used in the previous studies, paying attention to the demand for empirical data collecting for urban and neighborhood planning. The preceding researches are divided into (1)Recording, (2) Surveys, (3)Statistical data, (4)Global positioning system (GPS) devices, and (5)Mobile Big Data analysis. Next, we analyze the precedent research and identify the changes of the walkability research. (1)being required empirical data on the actual walking and moving patterns of people, (2)beginning to be measured micro-walking behaviors such as actual route, walking facilities, detour, walking area. In addition, according to the trend of research, it is analyzed that the use of GPS device and the mobile big data are newly emerged. Finally, we analyze pedestrian data based on mobile big data in terms of 'application' and distinguishing it from existing survey methodology. We present the possibility of mobile big data. (1)Improvement of human, temporal and spatial constraints of data collection, (2)Improvement of inaccuracy of collected data, (3)Improvement of subjective intervention in data collection and preprocessing, (4)Expandability of walking environment research.

• Research in Community and Public Health Nursing
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• v.13 no.3
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• pp.456-470
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• 2002

Objectives: The purpose of this study was to test the Theory of Planned Behavior (TPB) in the prediction of smoking cessation intention and smoking cessation behavior among adolescent smokers, in order to provide basic data to develop a future smoking cessation program as a nursing intervention. Method: The study subjects were 80 adolescent smokers who had smoked one cigarette and attended a five-day school smoking cessation program. The data were collected from October 24 to December 21, 1999. The instruments used in this study were the tools developed by Jee (1994) to measure TPB variables such as attitude toward smoking cessation behavior, subjective norm, perceived behavioral control, smoking cessation intention, and smoking cessation behavior. The data were analyzed with the SAS/PC program using descriptive statistics, hierarchical multiple regression, and logistic multiple regression. Results: 1. Attitude toward smoking cessation behavior, subjective norm, and perceived behavioral control were partially significant in predicting smoking cessation intention. 2. Smoking cessation intention and perceived behavioral control toward smoking cessation behavior did not significantly predict smoking cessation behavior. 3. There were partial interaction effects among the attitude toward smoking cessation behavior, subjective norm, and perceived behavioral control in the prediction of smoking cessation intention. 4. There were partial interaction effects between smoking cessation intention and perceiver behavioral control toward smoking cessation behavior in the prediction of smoking cessation behavior. Conclusion: This study partially demonstrated support for the TPB model that was partially useful in predicting smoking cessation intention and smoking cessation behavior among adolescent smokers. Therefore, it is recommended that attitude toward smoking cessation behavior and perceived behavioral control should be considered in developing smoking cessation programs and implementing nursing interventions to change the smoking behavior of adolescent smokers.

• Journal of Korean Academy of Nursing
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• v.41 no.2
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• pp.236-244
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• 2011

Purpose: In this study the impact of pro-environmental behavior, well-being oriented behavior, and use of cloth menstrual pads on dysmenorrhea in Korean female adults was examined according to the theory of reasoned action. Methods: A cross-sectional study was conducted with 195 Korean female adults. Data were collected from June to August, 2010 using self-report questionnaires. Data were analyzed using t-test, one-way ANOVA, Pearson correlation coefficients, multiple regression, and logit regression with STATA 10.0. Results: Pro-environmental behavior explained 48% of well-being oriented behavior. Well-being oriented behavior explained 10% of cloth pad use. Use of cloth pad explained 4% of dysmenorrhea and 5% of menstrual pain. The path through well-being oriented behavior had a significant effect from pro-environmental behavior to cloth pad use. Conclusion: Use of cloth pad was significantly related with well-being oriented behavior, pro-environmental behavior, social influence, dysmenorrhea, and menstrual pain. The results of this study suggest that pro-environmental strategies can help health care providers diminish clients' menstrual symptoms. Nursing intervention can support pro-environmental behavioral strategies.

• The Korean Journal of Health Service Management
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• v.10 no.1
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• pp.53-66
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• 2016

Objectives : The aim of this study was to identify the effects of nursing performance and innovative behavior on the self-leadership of geriatric hospital nurses. Methods : The participants in this study were 206 nurses working in geriatric hospitals in Busan, Ulsan and Yangsan City. Data were collected from October to November, 2015. A structured questionnaire was used for the data collection, and the data were analyzed with the SPSS/WIN program. Results : Nursing performance and innovative behavior positively correlated with self-leadership. The most significant predictors of self-leadership were nursing performance and innovative behavior. Conclusions : These findings suggest that nursing performance and innovative behavior were linked to self-leadership. The results of this study can be used to help develop self-leadership programs.