• Journal of Korean Public Health Nursing
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• v.33 no.2
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• pp.242-257
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• 2019

Purpose: This study examined the life experiences of the wives of men who were born with normal vision but gradually developed a visual impairment, with particular focus on their way of facing and coping with their life crisis. Method: A narrative approach was used to not only understand women's experiences within sociocultural contexts, but also reveal the subjective meaning of their personal life stories through their own voices. A purposive sample of three participants having husbands unexpectedly diagnosed with visual impairment during their marriage was recruited. The data were analyzed using the narrative analysis methods suggested by Clandinin and Connelly. Results: The wives took the crisis of their husbands' visual impairment as an economic crisis of the family. They faced a variety of difficulties, including extreme despair, role changes, and economic burdens. On the other hand, they tried to keep the family secure through a range of coping strategies that were motivated by compassion toward the husbands, maternal affection for the children, and a sense of responsibility for their families. Conclusion: This study revealed the need for financial support for temporarily disadvantaged families. In addition, various nursing and counseling programs for the family members will also be needed to help recover the family functions.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.8
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• pp.525-532
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• 2021

The study investigates the mediating effect of Korean firms' corporate social responsibility (CSR) in the relationship between Korean executives' religiosity, their individual social responsibility (ISR), and corporate financial performance (CFP). As executives lead the firms' strategies and policies, their religiosity or ISR may have a significant influence in attaining the firm's CSR and influencing CFP. The upper echelon theory, agency theory, and stakeholder theory are used to explain the link between individual-level drivers of CSR, a firm's CSR, and CFP. The upper echelon theory, agency theory, and stakeholder theory are integrated into the conceptual model, which explains the relationships between proposed constructs in this study. This study employs survey data of 421 Korean companies. The confirmatory factor analysis (CFA) technique was used to test the proposed hypotheses. The main result shows that Korean executives' religiosity and their ISR positively influence CFP when mediated by CSR. The findings of this study suggest that Korean executives' personal values such as their religiosity and ISR can impact the firm's CSR activities or financial performance. Overall, this paper responds to the recent calls in the CSR literature to examine the individual-level drivers from non-western contexts by shedding more light on the Korean context.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.33 no.4
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• pp.412-418
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• 2023

As advances in artificial intelligence (AI) increasingly approach areas once relegated to the realm of science fiction, there is growing public interest in using these technologies for practical everyday tasks in both the home and the workplace. This paper explores the applications of and implications for of using ChatGPT, a conversational AI model based on GPT-3.5 and GPT-4.0, in the field of occupational health and safety. After gaining over one million users within five days of its launch, ChatGPT has shown promise in addressing issues ranging from emergency response to chemical exposure to recommending personal protective equipment. However, despite its potential usefulness, the integration of AI into scientific work and professional settings raises several concerns. These concerns include the ethical dimensions of recognizing AI as a co-author in academic publications, the limitations and biases inherent in the data used to train these models, legal responsibilities in professional contexts, and potential shifts in employment following technological advances. This paper aims to provide a comprehensive overview of these issues and to contribute to the ongoing dialogue on the responsible use of AI in occupational health and safety.

• Journal of Fashion Business
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• v.27 no.6
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• pp.110-123
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• 2023

As social distancing strengthened after the COVID-19 incident, people looked for things they could do alone. Additionally, as people have more financial resources, they purchase products they had previously considered purchasing, and the phenomenon of giving gifts to oneself has also appeared. Accordingly, this study analyzed fashion product reviews of KakaoTalk Gift, the service to exchange gift via SNS mobile app, to discover the phenomenon of self-gifting and the differences from interpersonal-gifting. For post-hoc data, in collected 18,354 pieces after excluding unnecessary data using a Python-based web crawling technique. The self-gifting behavior of KakaoTalk Gift different from the previous study for self-gift. Regardless of the gift-giving contexts, it determines that most self-gift products are material items. There are differences in product types and price levels when choosing gifts for others and oneself. As a self-gift, people typically buy luxury jewelry and branded bags/wallets to wear and show off. As interpersonal, among fashion products, people usually buy beauty products that reflect less personal tastes. When gift-giving to others, people buy products to appropriate prices to reduce the burden on both. When gift-giving to oneself, people buy wanted products regardless of the price. This study is significant because it suggests a new direction in self-gift research by limited online places to give gifts.

• The Journal of Korean society of community based occupational therapy
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• v.9 no.1
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• pp.57-67
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• 2019

Objective : This study aimed to identify types of leisure time spending of the Korean elderly according to the data of Hours of Living 2014 from National Statistical Office, and compare and analyze features of leisure time spending based on general characteristics of the elderly. Method : This study has only adopted the data of 9228 elder people whose ages were above 65, and their general characteristics and time spending features form the data of Hours of Living 2014. The final comparison and analysis has been made through behavior classification (1 major classification, 7 medium classification, 39 minor classification), which reflects how the elderly spend their leisure time according to their household and personal characteristics. Result : Firstly, the Korean elderly were found to spend most of their leisure time with media. Secondly, analyzing the features of leisure time spending based on household characteristics of the elderly, their gender and household income showed significant differences in all types of leisure time activities except for cultural and sightseeing activity. And their marital status showed significant differences in most of the leisure time activities excluding leisure time activity with media and cultural and sightseeing activity. Thirdly, analyzing the features of leisure time spending based on personal characteristics of the elderly, their education level has made significant differences in all types of leisure time activities. As for their economic activity status and average monthly income, they showed meaningful differences in most of the leisure time activities excluding cultural and sightseeing activity and ritual activity. Conclusion : We should help to find meaningful occupation within personal contexts and arrange it properly with balanced leisure time spending. Moreover, it is highly important to have appropriate occupational approach to prevent social isolation of the Korean elderly, and ensure their fruitful and successful later life.

• Journal of Internet Computing and Services
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• v.17 no.1
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• pp.23-33
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• 2016

The current smart lighting is shaped to offer the lighting environment suitable for current context, after identifying user's action and location through a sensor. The sensor-based context awareness technology just considers a single user, and the studies to interpret many users' various context occurrences and conflicts lack. In existing studies, a fuzzy theory and algorithm including ReBa have been used as the methodology to solve context conflict. The fuzzy theory and algorithm including ReBa just avoid an opportunity of context conflict that may occur by providing services by each area, after the spaces where users are located are classified into many areas. Therefore, they actually cannot be regarded as customized service type that can offer personal preference-based context conflict. This paper proposes a priority-based LED lighting control system interpreting multiple context conflicts, which decides services, based on the granted priority according to context type, when service conflict is faced with, due to simultaneous occurrence of various contexts to many users. This study classifies the residential environment into such five areas as living room, 'bed room, study room, kitchen and bath room, and the contexts that may occur within each area are defined as 20 contexts such as exercising, doing makeup, reading, dining and entering, targeting several users. The proposed system defines various contexts of users using an ontology-based model and gives service of user oriented lighting environment through rule based on standard and context reasoning engine. To solve the issue of various context conflicts among users in the same space and at the same time point, the context in which user concentration is required is set in the highest priority. Also, visual comfort is offered as the best alternative priority in the case of the same priority. In this manner, they are utilized as the criteria for service selection upon conflict occurrence.

• Journal of Intelligence and Information Systems
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• v.19 no.1
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• pp.125-139
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• 2013

Big data refers to the data that cannot be processes with conventional contemporary data technologies. As smart devices and social network services produces vast amount of data, big data attracts much attention from researchers. There are strong demands form governments and industries for bib data as it can create new values by drawing business insights from data. Since various new technologies to process big data introduced, academic communities also show much interest to the big data domain. A notable advance related to the big data technology has been in various fields. Big data technology makes it possible to access, collect, and save individual's personal data. These technologies enable the analysis of huge amounts of data with lower cost and less time, which is impossible to achieve with traditional methods. It even detects personal information that people do not want to open. Therefore, people using information technology such as the Internet or online services have some level of privacy concerns, and such feelings can hinder continued use of information systems. For example, SNS offers various benefits, but users are sometimes highly exposed to privacy intrusions because they write too much personal information on it. Even though users post their personal information on the Internet by themselves, the data sometimes is not under control of the users. Once the private data is posed on the Internet, it can be transferred to anywhere by a few clicks, and can be abused to create fake identity. In this way, privacy intrusion happens. This study aims to investigate how perceived personal information overload in SNS affects user's risk perception and information privacy concerns. Also, it examines the relationship between the concerns and user resistance behavior. A survey approach and structural equation modeling method are employed for data collection and analysis. This study contributes meaningful insights for academic researchers and policy makers who are planning to develop guidelines for privacy protection. The study shows that information overload on the social network services can bring the significant increase of users' perceived level of privacy risks. In turn, the perceived privacy risks leads to the increased level of privacy concerns. IF privacy concerns increase, it can affect users to from a negative or resistant attitude toward system use. The resistance attitude may lead users to discontinue the use of social network services. Furthermore, information overload is mediated by perceived risks to affect privacy concerns rather than has direct influence on perceived risk. It implies that resistance to the system use can be diminished by reducing perceived risks of users. Given that users' resistant behavior become salient when they have high privacy concerns, the measures to alleviate users' privacy concerns should be conceived. This study makes academic contribution of integrating traditional information overload theory and user resistance theory to investigate perceived privacy concerns in current IS contexts. There is little big data research which examined the technology with empirical and behavioral approach, as the research topic has just emerged. It also makes practical contributions. Information overload connects to the increased level of perceived privacy risks, and discontinued use of the information system. To keep users from departing the system, organizations should develop a system in which private data is controlled and managed with ease. This study suggests that actions to lower the level of perceived risks and privacy concerns should be taken for information systems continuance.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.5
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• pp.19-30
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• 2016

In these days, people get information from internet easily. However, there are too many information. It makes interrupt and inefficient for searching data. Therefore, we need user customized web search system which provides appropriate information. In this paper, we propose a searching system that can collect semi-automatically conditions of users such as weather, location and time and provide essential information to users. Using these context data, the proposed system can understand what information users want in specific situations and can provide more useful information to users than existing systems. The proposed system based on 'Production/Sharing Service of Personal Korean Contents with Voluntary Sharing Economy System' and we add data parsing algorithm in each input, store and search part. In the experiments, we compare and analyze the results of existing system and the proposed system using some general key words.

• Journal of Korean Academy of Nursing Administration
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• v.17 no.4
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• pp.402-412
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• 2011

Purpose: To describe the emergence of the North Texas Korean American Nurses Society (NTKANS) and to examine its sociocultural contributions to Korean immigrant societies in the U.S. for the last half century. Methods: The study used retrospective historical analysis to explore the first North Texas Korean immigrant nurses' footsteps. Using Christy's historical research methodology, this study explored themes found in the NTKANS Minutes, the directories, and newspapers, and compared them with historical nursing contexts found in documents, immigrant nurse's pictures, and letters. Interviews with twenty first immigrant Korean nurses, the members, were also use d as main data. Results: Since its emergence in 1969, the NTKANS have contributed to local Korean societies through community medical services, financial supports to local Korean associations, local publications, and opening Korean school. In addition, the society has contributed to the other Korean immigrant nursing societies in the U.S. Conclusion: The sociocultural contributions NTKANS had made to Korean immigrant societies were not possible without its members' enormous efforts, personal struggles, and altruistic dedications. The trials and tribulations these immigrant nurses have overcome and the achievements they made for last half century would greatly inspire students and nurses in Korea who may seek international leadership and scholarship.

• Child Studies in Asia-Pacific Contexts
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• v.4 no.1
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• pp.27-45
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• 2014

The present study investigated the developmental pattern of Korean mothers' depressive symptoms from a week prior to birth through four months postpartum in a nationally represented survey sample in Korea, using a Latent Growth Curve model. Mother-reported four factors-maternal self-efficacy in parenting, father's participation in childcare, a number of hours mothers worked per week, child's emotional temperament-were examined as the predictors of depressive symptoms over time in the context of Korean culture. Effects of maternal depressive trajectories on their infants' developmental outcomes at the first year were also examined. Findings were as follows: First, mothers' reports of depressive symptoms decreased at the first month after birth and then increased again during the first 4 months postpartum. Second, mothers' perceived low spousal involvement in childcare, low parental self-efficacy, and their infants' difficult temperament at four-month old had significantly positive relations to the initial level of maternal depressive symptoms whereas the low spousal involvement in childcare and low maternal self-efficacy factors significantly predicted the changes of trajectories of maternal depressive symptoms. Third, the trajectories, in turn, predicted warm and responsive maternal parenting style at the fourth month. Subsequently, the parenting style had a significant longitudinal impact on the development of children's communication, problem-solving, and personal-social abilities. Based on these findings, awareness, preventive and interventional programs might be built to facilitate Korean mothers suffering severe postpartum depressive symptoms and further promote optimal early development of Korean children.