• Title/Summary/Keyword: social economics

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The Mediating Effect of School Adjustment on the Relationship between a Creative School Environment and Children's Happiness (창의적 학교환경과 아동의 행복감 간의 관계에서 학교적응의 매개효과)

  • Yujeong Kwon;Jiyoung Lim
    • Human Ecology Research
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    • v.62 no.1
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    • pp.47-58
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    • 2024
  • This study examined the mediating effect of children's school adjustment on the relationship between a creative school environment and children's happiness. For this purpose, an analysis was performed of data from the 12th Panel Study on Korean Children conducted in 2019. The participants were 1,393 fifth-grade elementary school students. Data were analyzed using descriptive statistics, one-way ANOVA, Pearson correlation analysis, confirmatory factor analysis, and structural equation modeling using SPSS 25.0 and AMOS 23.0 programs. The principal results were as follows. Firstly, there were significant positive correlations among creative school environment, children's school adjustment, and happiness. Secondly, the creative school environment significantly affected children's school adjustment and happiness. Thirdly, children's school adjustment had a positive effect on their happiness. Fourthly, the creative school environment had an indirect effect on children's happiness through school adjustment. The results thus demonstrate that school is a social environment that strongly influences children's happiness. Therefore, to improve children's school happiness, it is essential to consider the relationship between a creative school environment and school adjustment.

A Case Study of Digital Transformation: Focusing on the Financial Sector in South Korea and Overseas

  • Eunchan Kim;Minjae Kim;Yeunwoong Kyung
    • Asia pacific journal of information systems
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    • v.32 no.3
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    • pp.537-563
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    • 2022
  • This study investigates the adoption and application of digital transformation in the financial sector and analyzes the process and outcomes of digitization and digitalization in the field of the finance industry of South Korea and overseas, in order to seek both managerial and strategic implications for successful implementation of digital transformation in the future. The findings show that, for successful digital transformation, it is necessary to maximize active and systematic use of advanced online and digital technologies that form the basis of business and create an open, horizontal organizational culture and communication system to equally share and distribute advanced technologies and competencies through the entire organization. Furthermore, this study also discovers the legitimacy to concentrate the organizational competencies and know-how in providing technical training for members, expanding customer experience, and improving customer satisfaction services to contribute to improving the quality of life for members of the organization and creating and improving social and public infrastructures, instead of using digital transformation only to improve productivity of organizations or firms. As such, it is necessary to concentrate corporate competencies in establishing and supplying digital transformation that is not just human-centered but also has productivity, innovativeness, and reliability at the same time.

Lived Experiences in the Life World of Korean Emerging Adults with Foster Care Backgrounds: A Qualitative Meta-Synthesis (자립준비청년의 생활세계 속 실존 체험에 관한 질적 메타분석)

  • Boram Choi;Jaerim Lee
    • Human Ecology Research
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    • v.62 no.2
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    • pp.279-294
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    • 2024
  • The purpose of this study was to synthesize and interpret the findings of previous qualitative studies that investigated the lived experiences of Korean emerging adults who aged out of the foster care system. Based on our selection criteria, we extracted and analyzed 14 papers that were published between 2010 to 2023. Our meta-synthesis found that the emerging adults' life world consisted of seven domains: family experience, life tasks, education and work, financial issues, home and family, interpersonal relationships, and psychological and emotional issues. We restructured the emerging adults' lived experiences using van Manen's concepts of lived time, lived space, lived things, lived self-other, and lived body. Our meta-synthesis revealed that these emerging adults experienced multidimensional difficulties due to shortcomings of formal and informal social support after aging out of the foster care system. Their difficulties accumulated in their interaction with lived time. Based on the level of their accumulated difficulties, we categorized the emerging adults into stable, struggling, and isolated groups. However, it is important to note that many of them adapted to their own life world and strived to move forward. This qualitative meta-synthesis provides a comprehensive understanding and new interpretation of emerging adults who transition from foster care to independent living in the context of Korea.

Applications of Machine Learning Models on Yelp Data

  • Ruchi Singh;Jongwook Woo
    • Asia pacific journal of information systems
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    • v.29 no.1
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    • pp.35-49
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    • 2019
  • The paper attempts to document the application of relevant Machine Learning (ML) models on Yelp (a crowd-sourced local business review and social networking site) dataset to analyze, predict and recommend business. Strategically using two cloud platforms to minimize the effort and time required for this project. Seven machine learning algorithms in Azure ML of which four algorithms are implemented in Databricks Spark ML. The analyzed Yelp business dataset contained 70 business attributes for more than 350,000 registered business. Additionally, review tips and likes from 500,000 users have been processed for the project. A Recommendation Model is built to provide Yelp users with recommendations for business categories based on their previous business ratings, as well as the business ratings of other users. Classification Model is implemented to predict the popularity of the business as defining the popular business to have stars greater than 3 and unpopular business to have stars less than 3. Text Analysis model is developed by comparing two algorithms, uni-gram feature extraction and n-feature extraction in Azure ML studio and logistic regression model in Spark. Comparative conclusions have been made related to efficiency of Spark ML and Azure ML for these models.

Does Paid Sick Leave Induce Welfare Burden?

  • Namhoon KIM
    • Asian Journal of Business Environment
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    • v.14 no.2
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    • pp.11-18
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    • 2024
  • Purpose: The purpose of this study is to empirically evaluate the unintended welfare losses induced by paid sick leave, examine the severity of the unintended moral hazard loss caused by paid sick leave, and evaluate how much moral hazard cost society can accept to obtain paid sick leave benefits. Research Design, Data and Methodology: We examine the Medical Expenditure Panel Survey data collected in 2013 and 2014 by employing a panel probit analysis to control for individual heterogeneity. Results: The estimation result shows that the probability of absence due to paid sick leave increases from 4.91% to 7.84%. Among them, excluding the probability of increasing absence from 1.29% to 2.69% due to the actual disease, the probability of absence due to the moral hazard was estimated to be 2.41% to 6.49% in the proposed models. Based on the result, if we evaluate the increase in absence caused by moral hazard as a social cost, the estimated cost is approximately $174 to $297 per worker per year. Conclusion: Considering these expected costs, our society can obtain the access benefit from paid sick leave if we are willing to accept the moral hazard cost.

The Influence of Agile Management on the Competence of the Personnel of the Socio-Economic System in the Digital Economy

  • Larysa Lutay;Olena Chornenka;Mariia Markiv;Igor Grybyk;Natalia Fedynets
    • International Journal of Computer Science & Network Security
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    • v.23 no.12
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    • pp.123-128
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    • 2023
  • The main purpose of the study is to analyze the features of the influence of Agile management on the competence of the personnel of the socio-economic system in the digital economy. The research methodology implies the use of modern methods of analysis. Improving the business processes of an organization is associated with improving activities, the formation of effective management systems and processes, especially the organization's policy in the field of quality, rational use of resources, increasing the responsibility of management, social responsibility of the organization, etc. The modern knowledge economy places high demands on the effectiveness of behavioral models of employees of the organization. The role of the human factor in the production system is becoming more and more obvious. Therefore, it is important to study the competence of the personnel of any socio-economic system. Based on the results of the study, the key features of the influence of Agile management on the competence of the personnel of the socio-economic system in the digital economy were identified.

The Influence of Agile Management on the Competence of the Personnel of the Socio-Economic System in the Digital Economy

  • Larysa Lutay;Olena Chornenka;Mariia Markiv;Igor Grybyk;Natalia Fedynets
    • International Journal of Computer Science & Network Security
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    • v.23 no.12
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    • pp.161-166
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    • 2023
  • The main purpose of the study is to analyze the features of the influence of Agile management on the competence of the personnel of the socio-economic system in the digital economy. The research methodology implies the use of modern methods of analysis. Improving the business processes of an organization is associated with improving activities, the formation of effective management systems and processes, especially the organization's policy in the field of quality, rational use of resources, increasing the responsibility of management, social responsibility of the organization, etc. The modern knowledge economy places high demands on the effectiveness of behavioral models of employees of the organization. The role of the human factor in the production system is becoming more and more obvious. Therefore, it is important to study the competence of the personnel of any socio-economic system. Based on the results of the study, the key features of the influence of Agile management on the competence of the personnel of the socio-economic system in the digital economy were identified.

The Role of Public Food Delivery Mobile Applications in the Food Delivery Market: A Game Theory Model

  • Bo-Hun SEO;Da-Hye SONG;Jong Woo CHOI
    • Journal of Distribution Science
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    • v.22 no.4
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    • pp.91-104
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    • 2024
  • Purpose: The study aims to assess the current status of domestic public food delivery apps and analyze the process through which sellers choose between private delivery apps and public delivery apps. This involves exploring strategiesto achieve the original purpose of public food delivery apps, which is to enhance the small business owners income and promote consumer welfare by preventing the monopoly of private food delivery apps. Research design, data and methodology: the research methodology is based on a model that introduces adjustments for non-economic effects, considering the preferences of multi-homing consumers, to more realistically reflect the benefits of sellers' choices. For data analysis, real business performance data from 'Daeguro', 'Meokkaebi', and 'Somunnan Shop' were used. Results: The study revealed that if the market share of public delivery apps within a specific region increases beyond a certain level, the benefits for small-business sellers also increase. This leads to the strategic advantage of simultaneously using both delivery apps. Furthermore, the results exhibit a tendency similar to real social phenomena. Conclusions: This analysis confirmed the role of public food delivery apps in the domestic delivery app market and presents policy recommendations, including application integration and the implementation of exclusive public interest functions, to effectively fulfill this role.

Tourists' Re-Participation Intention in Wellness Tourism: Differences by Health Status and Health Consciousness

  • Jiao LI;Han ZHOU;Kaige ZHU;Juhyeok JANG
    • The Journal of Economics, Marketing and Management
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    • v.12 no.5
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    • pp.91-103
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    • 2024
  • Purpose: This study analyses the key variables that influence tourists' intention to re-participate in wellness tourism. To this end, a theoretical model is developed that is grounded in the theories of perceived value and perceived risk. Additionally, this study segments the market based on tourists' health consciousness and health status, examining the differences in the process of forming re-participation intentions. Research Design, Data, and Methodology: An online survey of 305 Japanese respondents was conducted, and the research model and hypotheses were validated using SmartPLS 4 and SPSS. Results: The findings illustrate that perceived functional, social, emotional, and epistemic values from previous wellness tourism experiences positively influence tourists' attitudes, whereas time risk negatively affects them. Furthermore, functional value and attitudes enhance re-participation intentions, whereas financial risk decrease them. Cluster analysis identified three groups: 'Health-Conscious but Unwell'; 'Not Health-Conscious and Unwell'; and 'Health-Conscious and Well'. Those who are 'Health-Conscious and Well' are more likely to re-participate if they are satisfied with the functional value of their wellness tourism experience. Conclusions: The findings of this study offer destination marketers and service providers valuable insights into how tourists form behavioural intentions and how to strategically allocate resources to maximise the potential of wellness tourism.

An Exploration of the Latent Profiles of Marriage Values Across Generations and the Influencing Factors: Gender, Family Strengths, and Self-Determination (세대별 결혼가치관의 잠재프로파일 유형 및 각 유형별 영향요인 탐색: 성별, 가족건강성, 자기결정성)

  • Ye Eun Hwang;Ji Min Lee
    • Human Ecology Research
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    • v.62 no.3
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    • pp.473-486
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    • 2024
  • The purpose of this study was to conduct Latent Profile Analysis to identify the types of marriage values within each generation and explore the influence of gender, family health, and self-determination on each type. This study was conducted as an online survey through social networking sites (SNS) for the Second Generation of Baby Boomers (1965~1974), Generation X (1975~1984), Generation Y (1985~1996), and Generation Z (1997~2003). A total of 1,114 copies were used for the final analysis. Latent Profile Analysis was conducted using Mplus ver. 8.8 software to identify the types of marriage values within each generation and explore the influence of gender, family health, and self-determination on each type. The significance of this study lies in the identification of a group in each generation that holds ambivalent values about marriage. Additionally, we identified differences between gender and self-determination as variables that affect marriage values, excluding family variables. Therefore, it is significant to understand marriage values by considering generational characteristics. Based on this, it is believed that it can provide a basis for education and counseling programs related to marriage, reflecting the important variables unique to each generation.