• Journal of the Korean Society of Environmental Restoration Technology
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• v.24 no.6
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• pp.49-65
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• 2021

Although the Environmental Impact Assessment (EIA) is continuously being advanced, the number of environmental disputes regarding it is still on the rise. In order to supplement this, it is necessary to analyze the accumulated complaint cases. In this study, through the analysis of complaint cases, it is possible to identify matters that need to be improved in the existing EIA stages as well as various damages and conflicts that were not previously considered or predicted. In the process, we dervied 'complaint-based data demands' that should be additionally examined to improve the EIA. To this end, a total of 348 news articles were collected by searching with combinations of 'environmental impact assessment' and a keyword for each of the six assessment groups. As a result of analysis of collected data, a total of 54 complaint-based data demands were suggested. Among those were 15 items including 'impact of changes in seawater flow on water quality' in the category of water environment; 13 items including 'area of green buffer zone' in atmospheric environment; 10 items including 'impact of soundproof wall on wind corridor' in living environment; 8 items including 'expected number of users' in socioeconomic environment, 4 items including 'feasibility assessment of development site in terms of environmental and ecological aspects' in natural ecological environment; and 4 items including 'prediction of sediment runoff and damaged areas according to the increase in intensity and frequency of torrential rain' in land environment. In future research, more systematic complaint collection and analysis as well as specific provision methods regarding stages, subjects, and forms of use should be sought to apply the derived data demands in the actual EIA process. It is expected that this study can serve to advance the prediction and assessment of EIA in the future and to minimize environmental impact as well as social conflict in advance.

• Journal of Korea Entertainment Industry Association
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• v.14 no.7
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• pp.227-237
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• 2020

In the 30th edition of , Chunhyang is conventionally presented as a woman who tries to protect her chastity and it eventually bears the fruits of her love. On the other hand in , Chunhyang is reinterpreted as a woman who strives to protect feminist self-consciousness and beliefs, even in unreasonable social situations. By comparing the two different works, we can see differences in the behavior of the characters in how to overcome various obstacles, such as irregularity, gender discrimination, and identity conflict. By reinterpreting the emotions of the characters in the classic novel into the emotions of the modern characters, we can see the how the characters grow when trying to overcome the situation and find a solution, even though there is no change yet. This can be seen as the emotions of the characters become different as time goes by. As the times go by, the world's values and inclinations also change, and the irrationalities of the world will also go in various directions. Through the fusion of culture into history, even though it's irrational but we become familiar with it and will clearly understand the absurdities, and we can look forward to changes in the process.

• The Journal of the Convergence on Culture Technology
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• v.7 no.4
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• pp.449-460
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• 2021

The development process of cyber literature theory in the 1990s clearly shows the duality of the pursuit of symbolic power and desire through the formation and conflict of literary fields, collective intelligence. All desires are bound to be power-oriented, and cyber literature is meaningful in that network-space critics developed while advocating the humanities of coexistence. The failure of cyber literature theory is due to the conflicting desire of critical power between real and virtual spaces. Cyber literature theory in the 1990s was the first literary response to the birth of artificial nature, although the contradiction of desires revealed in symbolic power and the limitations of barking are clear. Literature discourse has always explored the relationship between the social conditions of the time (including technological progress) and art texts. Producing a new critical discourse encompassing the whole within the literary field of artificial nature is an important task in literature in the era of technology compilation, and humanities and technology must coexist. Through this paper, we examined the impact of the birth of artificial nature on humanities. This study is an important achievement of humanities engineering that understands, interprets, and leads technology.

• Industry Promotion Research
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• v.7 no.3
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• pp.85-91
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• 2022

In modern society, the field of life is expanding to complex and diverse fields according to changes in lifestyle. As people's consciousness also changes, various social problems are involved, and countermeasures are being taken in various ways. In particular, as the issue of school violence has become a subject of interest, government-related ministries have jointly set up a reporting center and professional counselors are receiving and consulting on damage reports. Counselors experience mental and physical exhaustion in the course of their work. Therefore, the need to contribute to effective counseling work is raised by studying the factors that cause burnout. This study collected the experiences of 10 counselors working at 117 reporting centers from February 2019 to May 2020 through interviews and analyzed them with Colaizzi's phenomenological research method. The exhaustion factors derived from the results of the study were first experiences such as conflict between counselors during the period of institutional integration in the "117 reporting center experience", and secondly, professional counselors experienced emotional exhaustion, inhumanization, and lack of achievement. In order to prevent and overcome the exhaustion factors of counseling agents, it was necessary to prepare measures to promote fraud. This is expected to be useful data for improving the working environment of special job counselors in the era of industrialization and informatization in which various anonymous counseling methods are used.

• The Korean Journal of Coaching Psychology
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• v.4 no.2
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• pp.1-26
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• 2020

The purpose of this study was to develop and validate the Psychological Difficulties Scale of Working Moms(PDSWM). In the first study, 69items and 17 factors of the inventory were obtained based on interview, open-ended questionnaires. In the second study, the on-line surveys from 306 working mom was carried to analyze factor structure of the PDSWM. The final result showed that the 12 factor model with 64 items was appropriate. The third study was collected from 638 working mom and in order to make certain the cross-validity of the inventory, the group was divided into two groups (each group with 319 employees). The results of exploratory factor analyses using data of group 1 showed that the 8 factor structure with 48 items was appropriate. Also the results of confirmatory factor analysis using data of group 2 showed that the 8 factor structure indicated a satisfactory fit. Final 8 factors were as follows: 1) Feeling Apologetic to family members 2) Discrimination at workplace 3) burnt-out: both body and mind 4) Unequal distribution of child-rearing and house chore labor 5) Conflict with the babysitter/grandparents 6) Limit in further strengthening work competency 7) Social prejudice 8) Difficulty being on time for work. The PDSWM was significantly correlated with various criteria such as organizational commitment, life satisfaction, and work engagement. Based on such findings, implications, limitations, and the suggestions for future study were discussed.

• 한국체육학회지인문사회과학편
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• v.55 no.1
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• pp.221-233
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• 2016

The purpose of this study was to prove a development and initial validation of the korean version of coach-athlete relationship maintenance scale that originated from the work of Rhind & Jowett(2012) in pro baseball. The items were then administered to 132 Participants(29 coaches and 103 athletes) completed the questionnaires of the coach-athlete relationship maintenance in First preliminary investigation. Maximum likelihood estimate was used to identify the latent underlying structure. In order to verify the validity of Korean version of coach-athlete relationship maintenance was administered to an independent sample of 273 coaches and athletes. Pro baseball coach-athlete relationship maintenance is consisted of six factors(25 items) with conflict management, motivational, preventative, openness/assurance, support, and social network. SPSS18.0 and AMOS16.0 were used to analyze the exploratory factor analysis, confirmatory factory analysis and internal consistency, test-retest with bootstrapping using of the data in this study. The results of the pro baseball coach-athlete relationship maintenance scale had six factors with 25 items, and each six factor was positively correlated. Overall, this study verified pro baseball coach-athlete relationship maintenance questionnaire. Thus, suggest that path of comparing the differences between the first division and farm team by using the test of the structural model invariance across the groups.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.4D
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• pp.351-360
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• 2010

In 2010, the number of registered vehicles reached almost at 17.48 millions in Korea. This dramatic increase of vehicles influenced to increase the number of traffic accidents which is one of the serious social problems and also to soar the personal and economic losses in Korea. Through this research, an enhanced intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network will be developed in order to obtain the important data for developing the countermeasures of traffic accidents and eventually to reduce the traffic accidents in Korea. Firstly, this research has investigated the influencing factors of road geometric features on the traffic volume of each approaching for the intersections where traffic accidents and congestions frequently take place and, a linear regression model of traffic accidents and traffic conflicts were developed by examining the relationship between traffic accidents and traffic conflicts through the statistical significance tests. Secondly, this research also developed an intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network through applying the intersection traffic volume, the road geometric features and the specific variables of traffic conflicts. Lastly, this research found out that the developed model is better than the existed forecasting models in terms of the reliability and accuracy by comparing the actual number of traffic accidents and the predicted number of accidents from the developed model. In conclusion, it is expect that the cost/effectiveness of any traffic safety improvement projects can be maximized if this developed intersection hazard prediction model by combining Genetic Algorithm and Artificial Neural Network use practically at field in the future.

• 한국노년학
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• v.31 no.1
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• pp.97-109
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• 2011

The purpose of this work is to examine how work stressors are related to the burnout among staff in long-term care facilities for the elderly. This study offers some responses to a growing stress and burnout for the long-term care workers. The demand for long-term care workers is set to rise in light of an increasing share of older people and dependent elderly. Long-term care workers provide long-term care services to persons with a reduced degree of functional, physical or cognitive capacity. Cross-sectional survey data were collected from 216 staff in long-term care facilities. The standardised Maslach Burnout Inventory(MBI) was used to assess levels of burnout in long-term care workers. The MBI consists of 22 items using a 5-point Likert scale, measuring three sub-scales of burnout; Emotional exhaustion, Depersonalization, and Personal accomplishment. Data were analyzed using regression. This study is empirically tested the degree of association between burnout and its antecedents. The majority of differences in burnout could be explained by work stressors such as client relationship, job overload, job role conflict, and conflicts with clients' family. The study also identified workers' perceptions of their image in society and emotional support as predictors of burnout. Therefore long-term care facilities are encouraged to review their practices so that workers well-being is supported. The study findings suggest attention for organizational oriented initiatives to cope with burnout.

• The Journal of Information Systems
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• v.32 no.4
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• pp.211-227
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• 2023

Purpose In the contemporary landscape, marked by the enduring impact of COVID-19 and the recent disruptions stemming from the conflict in Ukraine, the purpose of this study is to navigate the era characterized by pervasive risk and uncertainty. Specifically, the study aims to dissect the impact of the COVID-19 outbreak on digital transformation, exploring the factors influencing this process and considering the multifaceted dynamics at play. The focus extends to the post-COVID-19 landscape, scrutinizing the implications and meanings of digital transformation both before and after the pandemic. Additionally, the study delves into future digital trends, with particular attention to climate and environmental issues, emphasizing corporate responsibilities in averting crises similar to COVID-19. The overarching goal is to provide a holistic perspective, shedding light on both positive and negative facets of digital transformation, and advocating for regulatory enhancements and legal frameworks conducive to a balanced and resilient digital future. Design/methodology/approach This study employs a comprehensive approach to analyze the impact of the COVID-19 outbreak on digital transformation. It considers various facets, such as smart devices reshaping daily routines, transformative changes in corporate ecosystems, and the adaptation of government institutions to the digital era within the broader context of the Fourth Industrial Revolution. The analysis extends to the post-COVID-19 landscape, examining the implications and meanings of digital transformation. Future digital trends, especially those related to climate and environmental issues, are prognosticated. The methodology involves a proactive exploration of challenges associated with digital transformation, aiming to advocate for regulatory enhancements and legal frameworks that contribute to a balanced and resilient digital future. Findings The findings of this study reveal that the digital economy has gained momentum, accelerated by the proliferation of non-face-to-face industries in response to social distancing imperatives during the COVID-19 pandemic. Digital transformation, both preceding and succeeding the onset of the pandemic, has precipitated noteworthy shifts in various aspects of daily life. However, challenges persist, and the study highlights factors that either bolster or hinder the transformative process. In the post-COVID-19 era, corporate responsibilities in averting crises, particularly those resembling the pandemic, take center stage. The study emphasizes the need for a holistic perspective, acknowledging both positive and negative facets of digital transformation. Additionally, it calls for proactive measures, including regulatory enhancements and legal frameworks, to ensure a balanced and resilient digital future.

• Journal of Service Research and Studies
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• v.13 no.4
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• pp.206-223
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• 2023

The introduction of Smart technologies such as Artificial Intelligence(AI) systems are have a powerful impact in a variety of industry fields. Some experts predict that smart technology will completely change people's daily life and work styles, causing technological innovation, productivity improvement, and discovery and emergence of new fields. On the one hand, this vision cannot ignore negative views and concerns. Despite many social debates about employment, such as job loss and rising unemployment, there have not been many studies based on employee experience that provide a fundamental solution to the conflict between AI and employment. Therefore, this study finds out the effects and related factors of AI concierge robots for hotel employees, focusing on the hotel industry, and how employees' perceptions of AI concierge robots affect user resistance and turnover intention. This study, conducted a questionnaire survey of 322 hotel employees who had experience working with AI concierge robots in China, and used SPSS and SmartPLS statistical analysis programs to draw conclusions. We found that hotel employees' perceptions of AI concierge robots were significantly related to user resistance and turnover intention, and this association was related to employee self-efficacy, perceived organizational support, quality of AI services and new tasks. In addition, it was found that the quality of AI concierge robots directly or indirectly had the greatest influence on user resistance and turnover intention. The findings of this study provide theoretical implications for academia and practical implications for industry practitioners.