• Journal of Navigation and Port Research
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• v.43 no.1
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• pp.1-8
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• 2019

Identifying behavioral errors of seafarers that have led to marine accidents is a basis for research into prevention or mitigation of marine accidents. The purpose of this study is to estimate the optimal probability distribution function needed to model behavioral errors of crew members into three behaviors (i.e., Skill-, Rule-, Knowledge-based). Through use of behavioral data obtained from previous accidents, we estimated the optimal probability distribution function for the three behavioral errors and verified the significance between the probability values derived from the probability distribution function. Maximum Likelihood Estimation (MLE) was applied to the probability distribution function estimation and variance analysis (ANOVA) used for the significance test. The obtained experimental results show that the probability distribution function with the smallest error can be estimated for each of the three behavioral errors for eight types of marine accidents. The statistical significance of the three behavioral errors for eight types of marine accidents calculated using the probability distribution function was observed. In addition, behavioral errors were also found to significantly affect marine accidents. The results of this study can be applied to predicting marine accidents caused by behavioral errors.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.12
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• pp.711-720
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• 2020

This research aims to analyze the factors affecting the acceptance of social commerce, including performance expectancy, effort expectancy, social support, facilitating conditions, hedonic motivation, habitability, price saving orientation, and privacy concerns using the Unified Theory of Acceptance and Use of Technology (UTAUT2). UTAUT2 has been examined and modified in various contexts. The research model studies the acceptance and use of technology in the context of customers. This study adopts a quantitative method using the partial least squares regression (PLS) approach involving 244 respondents. The respondents are users of social commerce in Indonesia. The result of this research indicates that social influence, facilitating conditions, hedonic motivation, habit, price value orientation, and privacy concerns have a significant effect on behavioral intention. On the other hand, performance expectancy and effort expectancy does not affect behavioral intention. Furthermore, price value has a significant effect on social commerce user behavior. Lastly, facilitating conditions and habits does not affect social commerce user behavior. This research contributes to the development of theory by examining an additional variable, which is privacy concern. This study is significant since social media and social commerce have grown exponentially nowadays. Implications of the results for the development of the theory (UTAUT2) and practice are discussed in the article.

• Journal of Fashion Business
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• v.19 no.6
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• pp.112-126
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• 2015

In social environments, hashtags have been widely adopted and have become a new form of language for users. The current study attempts to enhance our understanding of users and their motivations to use hashtags when posting fashion-related information. Specifically, this study examines whether user characteristics (fashion leadership, conspicuousness) influence their motivations to use hashtags (curation, self-presentation, information diffusion), which then leads to behavioral intentions to continue to use hashtags and recommend the same to others. An online survey was administered to test our research questions. A total of 136 consumers in their 20s, 30s, and 40s living in Korea were used for data analysis. Structural equation modeling was conducted, which revealed that fashion leadership and conspicuousness had a positive impact on users' motivations of curation, self-presentation, and information diffusion. Motivations of self-presentation and information diffusions were found to affect users' behavioral intentions while curation had no significant impact. Practical implications are presented.

• Journal of Korean Institute of Industrial Engineers
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• v.37 no.2
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• pp.105-117
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• 2011

This study describes behavioral characteristics of Korean population over twenty years old in a variety of activities of daily living by analyzing the raw data of the time use survey provided by Statistics Korea (KOSTAT). Seven activities and forty four sub-activities of daily living were selected for analysis : personal care, employment, household care, family care, voluntary work and community participation, social life, recreation and leisure, and travel. In order to quantitatively understand how Korean adults spend their time for a day and how their lifestyle changes over time, we collected the time recorded by 3,673 respondents in three surveys over the past ten years (in 1999, 2004, and 2009). Then, we performed analysis of variance to compare the behavioral characteristics by user age and gender based on the mean time of each activity. The differences in behavior among user groups and over time could be used to design ergonomic products and services based on user experience, especially for universal design of housing and transportation facilities.

• Journal of Korea Multimedia Society
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• v.20 no.2
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• pp.404-419
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• 2017

This study is to examine how middle and high school students vary in terms of good and bad usage of online games and how these factors have varying effects on their use of the internet as a whole. My focus is to study their behavioral patterns individually while playing internet-based online games. The results are as follows: First, 260 out of 390 subjects used the internet. Male students who are high school students with siblings, or preschool time game users were revealed to play online games more often rather than female students who are middle school students with no siblings, or non-preschool time game users. Secondly, the analysis of differences of good and bad usage of online games revealed that there is a significant correlation between gender and beginning age. Lastly, a thorough analysis of the average difference in terms of following the online game shutdown found that there is no significant correlation among the sub-groups. However, an analysis of the difference of the problematic game usage has shown that there is a significant difference in the heavy user group. This findings means that the students who don't follow the online game shutdown spend more time than those who do.

• The Journal of Information Systems
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• v.28 no.2
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• pp.181-200
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• 2019

Purpose In order to find out the influential factors to accept the mobile convenient payment service like Apple pay or Samsung Pay based on the Unified Theory of Acceptance and Use of Technology according to the type of High and Low value payments. Design/methodology/approach This research model is designed on the factors of Unified Theory of Acceptance and Use of Technology and simultaneously analysed, or performed the empirical analysis of the PLS-SEM(Partial Least Squares structural equation model) in order to forage for the association among mobile convenient payment service's features. Findings According to the empirical analysis consequence, this research confirmed that the adoption of mobile convenient payment services is influence by features on the basis of Unified Theory of Acceptance and Use of Technology, mobility, and trust. Also, this paper figure out that the behavior of an user acceptance of mobile convenient payment services according to the type of high and low value payments.

• The Research Journal of the Costume Culture
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• v.32 no.3
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• pp.321-333
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• 2024

This study aims to investigate how consumers perceive the attributes (ubiquity, continuity) of metaverse fashion brands in a virtual space. It also empirically verifies the impact on consumers' perceived values (hedonic value, social value) and consumer behavioral intentions (intention to use the platform, intention to purchase virtual products). The results verified in this study are as follows: First, we confirmed that the metaverse attributes perceived by consumers in the virtual space of the fashion brand, ubiquity and daily extension, positively affect customers' perceived hedonic and social values. Second, we found that consumers' perceived hedonic and social values have a significant positive effect on their intention to use the platform. Finally, we found that consumers' intention to use the platform had a significant positive effect on their intention to purchase virtual products. The results of this study will have academic significance by expanding the scope of research related to identifying metaverse attributes and values by identifying metaverse attributes and consumer values that perceived by consumers in fashion brands' virtual spaces in the metaverse. This study suggests a direction and strategy for fashion brands to move forward in building virtual spaces on the metaverse platform. In this way, they can create perceived value for consumers that elicits positive consumer behavioral intentions.

• Perspectives in Nursing Science
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• v.15 no.1
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• pp.29-40
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• 2018

Purpose: The present study aimed to review the characteristics of cognitive behavioral therapy (CBT) programs for alcohol use disorders and to examine the outcomes of such programs. Methods: We searched for domestic and foreign studies that implemented a CBT program for alcohol use disorders, published from 2006 to 2017. Studies that met inclusion/exclusion criteria were selected and a quality assessment was performed using the Risk of Bias (RoB) and Risk of Bias Assessment Tool for Nonrandomized Studies (RoBANS) instruments. We utilized a five-stage analysis process, through which nine experimental studies were selected. Results: Of these nine studies, four were randomized controlled trials, four used a quasi-experimental design, and one used a qualitative design. The CBT involved the three domains of cognitive reconstruction, problem solving, and coping. Coping with drinking situations and communication constituted most of the sessions. The outcomes of such interventions showed that CBT had a positive effect on alcohol use and self-evaluation. Conclusion: CBT is an effective way to change alcohol use behaviors, motivation, interpersonal relationships, emotional control, and self-efficacy among patients with alcohol use disorders. This study provides evidence for the effectiveness of CBT-based programs for the treatment of alcohol use disorders.

• The Journal of Korean Society for School & Community Health Education
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• v.10 no.2
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• pp.43-54
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• 2009

Objectives: Adolescent health risk behaviors are typically smoking, drinking, violence, and the use of harmful media. The articles published in the literature are about those behaviors which was individually studied. Teenagers, however, are likely to have those behaviors simultaneously such as smoking and drinking. Also, the use of media and harmful materials are common among adolescents. This study was conducted with the purpose of investigating the relationship of smoking, drinking, the use of harmful media. Methods: This study was a secondary analysis using the data drawn from National Youth Committee's survey of adolescent harmful environment in 2007. The self-reported questionnaires were administered to 7,409 students attending junior high schools between October 10 and November 20. The samples were randomly selected based on strata of geography, schools, and gender. Results: Junior high school students used the harmful media ranging from 13.9 % to 31% depending on the type of media. The most accessed one was adult-only games. The current smoking rates was 5.4% and drinking rates was 27.4%. There are statistically significant relationship between smoking and the use of harmful media, between drinking and the use of harmful media, and between smoking and drinking. The behavioral factors that can predict the use of harmful media based on logistic regression analysis are the grade and smoking. Conclusion: Students were at risk of engaging health risk behaviors as they were getting older. Like other literature, smoking was a significant predictor of adolescent behavioral problems.

• Journal of Korea Society of Industrial Information Systems
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• v.28 no.2
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• pp.31-45
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• 2023

This study deals with exploring qualitative steps and paths that appear as YouTube users' usage time increases quantitatively. For the study, I applied theories from psychology and neuroscience, subdivided the interval between the personalization algorithm of the recommendation system, and active use and analyzed the relationship between variables in this process. According to the theory behavioral model theory (FBM), variable reward, and dopamine addiction were applied. Personalization algorithms easy clicks as triggers according to associated content presentation functions in behavioral model theory (FBM). Variable rewards increase motivational effectiveness with unpredictability of the content you search, and dopamine nation is summarized as stimulating the dopaminergic nerve to continuously and actively consume content. This study is expected to make an academic and practical contribution in that it divides the purpose of use of content in the personalization algorithm and active use section into four stages from a psychological perspective: first use, reuse, continuous use, and active use, and analyzes the path.