Asian Americans are one of the fastest growing minority groups in the United States. One of the stereotypes associated with Asians is that they are more likely to choose careers in science, medicine, and engineering rather than social science, inclusive of social work, mass communication, or humanities (Leong & Serafica, 1995; Tang et al., 1999). This occupational stereotyping of Asians is not just a myth in that only a few Asians choose social work as a career (Lennon, 2005; NASW, 2006). Few studies exist on Asian Americans who do not choose Asian stereotypical career choices, such as social work. Acknowledging this lack of research, the present study was developed to explore the relationships between factors that may influence Asian Americans who choose social work as their career. Based on Social Cognitive Career Theory (Lent, Brown, & Hackett, 1994), it was hypothesized that acculturation and family immigration status influenced parental involvement, disapproval by significant others as a perceived career barrier among Asian American social workers. A cross-sectional survey design was used in this study. The sample was derived from the members'database of the National Association of Social Workers (NASW). A total of 900 were randomly chosen among 1,802 of Asian American social workers in the NASW database, and 370 Asian American social workers participated in this study with 41 percent of a return rate. Quantitative data were collected through standardized measurements: Suinn-Lew Asian Self-Identity Acculturation Scale (Suinn, Rickard-Figueroa, Lew, & Vigil, 1987); Career Barriers Inventory Revised (Swanson, et al., 1996); and eight items from Tang et al.'s (1999) Asian American Career Development Questionnaire. The data were collected through a combined method of an online survey with option of a paper mail-return questionnaire. Results of the study found significant group differences among family immigration status groups on parental involvement, and perceived likelihood and hindrance of disapproval by significant others. The group of the 2nd generation reported the highest scores of parental involvement among the family immigration status groups. Also, Asian American social workers who represented the 3rd and higher generation of immigration reported lowest perceived likelihood and hindrance scores of disapproval by significant others. However, there was no significant multivariate effect of acculturation on parental involvement, and perceived likelihood and hindrance of disapproval by significant others. Implications and limitations of this study, as well as suggestions for future research, are discussed.
Joung, Se Ho;Lee, Jung Woo;Bae, Da Young;Kim, Yoo Kyung
Journal of Korean Home Economics Education Association
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v.33
no.1
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pp.151-167
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2021
This study reports on the development of a dietary education program for Korean young adults in single-person households. The 7th National Health and Nutrition Survey (2016-2018) was used to compare and analyze the dietary behavior of single-person households and multi-person households, and an online survey was conducted on 350 young adults (age 19-39 years) living in Seoul. According to the analysis, single-person households had higher rates of breakfast and eating out than multi-person households, and significantly lower average intake of energy and nutrients (p<0.05). In particular, in the case of single-person households, the lower the frequency of cooking at home, the higher the rate of breakfast and the higher the frequency of eating out and delivery food (p<0.05). Based on the survey, a dietary education program for young adults single-person households was developed by applying the DESIGN six-step procedure and social cognitive theory as a conceptual model. The first session consisted of the health and economic benefits of home-cooked meals, the second session of the importance of the breakfast and the effect of exercise in life, the third session of the importance of balanced nutrition and the principles of a healthy diet, the fourth session of food safety and storage, and the fifth session of social dining. Each session was composed of a combination of theoretical lectures to motivate 'more making and eating healthy home-cooked meals' and cooking practice for improving behavioral performance.
To determine the impact of long-term social distancing and isolation from COVID-19 on the area of adult occupational performance, targeting adults in their 20s to 60s distributed nationwide for 2 months from November 2020 to December 2020. A questionnaire based on the occupational therapy execution system was constructed and investigated. A total of 270 people responded to the questionnaire, and the survey method was an online questionnaire. As a result of the analysis, there were significant differences in both occupational performance and satisfaction before and after COVID-19 in 33 (75%) of 45 items in 9 areas of the occupational performance area. There were significant changes in performance and satisfaction by age group in all age groups in health management, social participation, leisure, and work. In particular, those in their twenties showed the greatest change in performance and satisfaction in the leisure domain, while those in their 30s and 60s showed the greatest change in both the performance and satisfaction in the leisure domain. Along with these changes, the survey subjects recognized that their occupational performance and satisfaction were lower than before COVID-19 was a problem and confirmed that they are willing to improve. As COVID-19 is still a pandemic, it is necessary to involve experts in each area and follow-up studies to improve the differences by occupational performance area and age, which have changed due to long-term social distancing and isolation.
Purpose - This study aims to overcome the limitations of existing studies, which linearly determine the precedence factors of competency in overseas subsidiaries. The research objectives are as follows. First, what kind of nonlinear effects does the level of control held by Korean headquarters over foreign subsidiaries have in terms of competency in the subsidiaries? Second, what kind of nonlinear effects do the local experiences of overseas subsidiaries have on their competency? Design/methodology - With data on Korean multinational corporations (MNCs), this paper analyzes the effects of control levels of headquarters (HQs) and host-country experiences of foreign subsidiaries regarding competency in overseas subsidiaries. In particular, this study focuses on nonlinear models, differentiating it from previous studies. In order to examine research hypotheses, this study conducted a survey of overseas subsidiaries of Korean corporations. Surveys were conducted through various methods including e-mail, online questionnaires, fax, and telephone calls. Copies of the questionnaire were distributed to a total of 2,246 overseas subsidiaries, and 409 completed responses were collected. Excluding 15 copies that were insufficiently answered, responses from a total of 394 copies were used for analysis. Findings - This study presents the following results. First, there is a U-shaped relationship between levels of HQ control and competency in foreign subsidiaries. This means that higher levels of HQ control negatively impact the competency levels of subsidiaries because strict control undermines autonomy in subsidiaries. However, if the level of HQ control exceeds a certain point, then the transfer of knowledge between HQs and subsidiaries is facilitated. Knowledge transferred from HQs can be used as prior knowledge by foreign subsidiaries to the benefit of all parties. Accordingly, knowledge transfer negates the negative effects of excessive HQ control and positively affects competency in subsidiaries. Second, there is an inverted U-shaped relationship between the local (host-country) experiences of subsidiaries and competency in foreign subsidiaries. This means that foreign subsidiaries can overcome the liabilities of foreignness and contribute to capability building by accumulating unique knowledge about their host countries. However, if local experiences accumulate excessively beyond a certain point, then the host country-specific experiences of foreign subsidiaries will offset the benefits discussed above. Excessive local experiences not only increase organizational inertia, but also create a problem of goal incongruence due to information asymmetry between HQs and subsidiaries. Therefore, excessive local experiences have negative effects on competency in foreign subsidiaries. Originality/value - This study suggests the following implications. First, unlike existing studies based mainly on linear models, this study presents important theoretical implications in its focus on nonlinear models and its analysis of the effects of HQ control and local experiences on competency in foreign subsidiaries from perspectives of organizational learning theory and agency theory. Second, in terms of practical implications, the results of this study suggest that optimally raising levels of HQ control and managing the local experiences of subsidiaries without increasing organizational inertia is important for enhancing competency in foreign subsidiaries.
Purposes of this study were to identify the relationship among involvement in COVID-19 (IiC), attitude toward advertisement (AtA), and behavioral Intention to social distancing (BItSD), and to investigate the mediating effect of AtA in a loss versus gain advertising context. The participants were 379 adults who have been consecutively living in Korea since January 2020. The participants were randomly assigned to one of two advertisements using an online survey system. We found that IiC affects BItSD since Korean adults recognize the risks and seriousness of COVID-19 infection or transmission through IiC. Induced positive attitudes or emotions through involvement in the COVID-19 preventive behaviors including social distancing and vaccination are helpful to increase the BItSD. Thus, health care and information providers should give an accurate message, which induces a positive attitude, to recognize that our world is a risk of the COVID-19.
The smartphone is the communication device that is the most personal to the user, and it keeps a lot of information related to the user and makes information communication with other devices. With these characteristics, forensics on smartphones are one of the most basic methods of investigation in criminal investigations, and have actually contributed to the settlement of the case by providing many clues. However, recently, it is designed to encrypt data stored as a social issue related to the protection of user's personal information, or to delete deleted data or to delete log data together. So, any solutions? In this paper, I try to find the answer from cloud data stored by smartphone user account. Cloud forensics should approach complementary relationships rather than smartphone forensics. There are a lot of data stored in the cloud that can be meaningfully used in the investigation. Online activity information of users, such as Internet usage, YouTube view, and contents purchase information, cloud service such as e-mail, cloud drive, and location information are the most representative data. These data can be unvaluable, but here are some important clues in various types of criminal investigations. In this paper, I propose a method to extract data from the google cloud so that the data can be used for investigation, and to utilize the extracted data for investigation. And it explains the role of the extracted artifacts in the actual investigation business through virtual cases and proves its value.
Journal of the Korea Academia-Industrial cooperation Society
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v.19
no.11
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pp.635-644
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2018
This descriptive study examined the practical nursing guidelines for the prevention of pressure injuries (PI) in operating rooms and their application. Method: Four general hospitals and three specialized hospitals located in Seoul, Incheon, and Gyeonggido province were selected through an online randomization program and nurses at these hospitals who participated in operations and had at least six months work experience were surveyed. Data were collected from January to April 2018 through a survey distributed to 150 nurses, 129 of whom returned the survey (86% recovery rate). The results showed that 43 nurses provided PI prevention care for patients in a lateral position (33.3%), 37 for patients in a supine position (28.7%), and 36 for patients in a prone position (27.9%). Gel was most widely used as the supporting surface material (102 nurses; 79.1%), followed by sponge (62 nurses; 48.1%), and cotton (47 nurses; 36.4%). Skin was often inspected twice, before and after the use of a supporting surface (90nurses; 69.8%), but no designated tool was used to determine the risk of PI developing (76 nurses; 58.9%). Additionally, the patient's position during surgery (83 nurses; 64.3%) and the length of the operation (i.e., more than two hours, in this case) (49 nurses; 38.0%) were determining factors for whether to use a supporting surface. The operating room nurses used the gel, sponge, and cotton as the supporting surfaces for the prevention of PI and confirmed that the cutoff operation time for the use of a supporting surface was more than 2 hours.
Point of interest (POI) of the city is a special place that has what importance to the user. For example, it is such landmark, restaurants, museums, hotels, and theaters. Because of its role in the social and economic life of us, these have attracted a lot of interest in location-based applications such as social networks and online map. However, while it can easily be obtained through the Web, the basic information of POI such as geographic location, another effort is required to obtain detailed information such as Wi-Fi, accepting credit cards, opening hours, romper room and the assessment and evaluation of other users. To solve these problems, a new method for correcting position error is required to link location-based social network service (LBSNS) data and POIs. This paper attempts to propose a position error correction method of POI and LBSNS data to enrich POI information from the vast information that is accumulated in LBSNS. Through this study, we can overcome the limitation of individual POI information via the information fusion method of LBSNS and POI, and we have discovered the possibility to be able to provide additional information which users need. As a result, we expect to be able to collect a variety of POI information quickly.
Virtual Training is an educational exercise in which the environment or the situation is virtually implemented for specific training and proceed like a real situation. In recent years, the virtual reality technology has developed rapidly, and the demand for experiencing situation that are not directly experienced in the real world is increasing more and more in virtual reality. Particularly, there is an increasing demand of contents for hands-on training and virtual training for equipment training that replaces high-risk and high-cost industry training. The virtual training contents have been developed and utilized for the purpose of technical training. However, it is known that virtual training is more effective when it is used as a supplementary training material or combined with e-learning contents rather than replacing one training course with virtual training contents because purpose and effect are different from general technical training course. In this study, we explored the development method for effective utilization of electrohydraulic servo control process, which is the virtual reality contents developed in 2017 in combination with e-learning contents. In addition, in order to establish a teaching and learning strategy, we actually develop and operate a case studies using virtual training contents. Surveys and case studies are conducted to investigate the effects of teaching and learning strategies applied in the classroom on students and their educational usefulness.
Fake news is a form of misinformation that has the advantage of rapid spreading of information on media platforms that users interact with, such as social media. There has been a lot of social problems due to the recent increase in fake news. In this paper, we propose a method to detect such false news. Previous research on fake news detection mainly focused on text analysis. This research focuses on a network where social media news spreads, generates qualities with DeepWalk, a network embedding method, and classifies fake news using logistic regression analysis. We conducted an experiment on fake news detection using 211 news on the Internet and 1.2 million news diffusion network data. The results show that the accuracy of false network detection using network embedding is 10.6% higher than that of text analysis. In addition, fake news detection, which combines text analysis and network embedding, does not show an increase in accuracy over network embedding. The results of this study can be effectively applied to the detection of fake news that organizations spread online.
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