• 가정과삶의질연구
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• 제31권3호
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• pp.27-47
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• 2013

The purpose of this study was to investigate whether parent education programs conducted in South Korea were effective in changing in parents' behaviors, parents' internal characteristics, and children's characteristics. We retrieved journal articles published in Korea between 2006 and 2011 using keyword searches of electronic databases. A total of 41 studies were included in our meta-analyses. The results showed that parent education programs had large positive effects on parents' behavioral changes and children's changes along with medium to large effects on parents' internal changes. The strengths of effect sizes varied depending upon program characteristics including children's age, the number of participants, participants' gender, the number of sessions, and group characteristics. This study provided powerful scientific evidence for public policies and services that aim to support and empower parents by providing parent education programs.

• Journal of Information Science Theory and Practice
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• 제8권3호
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• pp.77-90
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• 2020

This study analyzes N=181 social media rumors from Bangladesh to find out the most popular themes, sources, and aims. The result shows that social media rumors have seven popular themes: political, health & education, crime & human rights, religious, religiopolitical, entertainment, and other. Also, online media and mainstream media are the two main sources of social media rumors, along with three tentative aims: positive, negative, and unknown. A few major findings of this research are: Political rumors dominate social media, but its percentage is decreasing, while religion-related rumors are increasing; most of the social media rumors are negative and emerge from online media, and social media itself is the dominant online source of social media rumors; and, most of the health-related rumors are negative and surge during a crisis period, such as the COVID-19 pandemic. This paper identifies some of its limitations with the data collection period, data source, and data analysis. Providing a few research directions, this study also elucidates the contributions of its results in academia and policymaking.

• 유통과학연구
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• 제19권10호
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• pp.75-86
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• 2021

Purpose: The purpose of this study is to address policy preparation and amendments on regulations in accommodation sharing for resource distribution by fostering better adjustment in a society, since previous studies are rarely investigated in those issues. After conduct exploratory research about laws and regulations of accommodation sharing, this study investigates how effective policy instruments improve trust in accommodation sharing and potential growth by investigating the perceptions of individuals and by applying policymaking procedures. Research design, data and methodology: The data is collected via online survey. Structural equation modeling with confirmatory factor analysis and non-recursive model with multiple regression analysis were applied. Results: The results of this study found that among proposed policy instruments, individuals perceive local ordinances, government publicizing and campaign, trust marks, taxation, penalties, and government controls are effective to build trust in accommodation sharing. Policies geared toward the majority of the public are more effective, while governments should establish a strategic approach as to which policies are introduced in public and which role the government plays in the departments. Conclusions: The results provide policy and managerial implications how to enhance distributional values of accommodation sharing economy with proper preparations and amendments of laws and regulations.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.643-655
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• 2021

This study investigated the effect of the Amanah Ikhtiar Malaysia (AIM) microfinancing on the economic, social, and household empowerment of women borrowers in Malaysia. The study used a quantitative approach based on primary data. For this study, the participants comprised 384 AIM borrowers from Terengganu, Kelantan, and Pahang in the east coast region of Malaysia. Purposive stratified random sampling was used as well as the Krejcie and Morgan method to count the number of samples. Descriptive statistics and the Women Empowerment Index (WEI) were used in the analysis. The study findings reveal that AIM microfinancing affects the economic, social, and household empowerment of women borrowers in Malaysia. However, in comparing the three categories, women enjoyed more freedom in social and household decision-making than in economic decision-making. The present study recommends policies for the successful and effective operation of microfinance programs by providing the necessary guidelines for the control of AIM loan for women borrowers; increasing income-generating activities, sufficient access of credit, and proper education for the borrowers; and giving economic freedom of choice with necessary skill training policymaking options for the government and NGOs with the aim to improve the total household income and empowerment of the microcredit borrowers in Malaysia.

• The Journal of Asian Finance, Economics and Business
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• 제8권7호
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• pp.403-411
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• 2021

This study discusses the influence of economic factors on the clothing exports from China and 15 South and Southeast Asian countries to the United States. A basic gravity trade model with three predictors, including the GDP value produced by exporting and importing countries and their geographical distance was established to explain the bilateral trade patterns. The conventional approach of multiple regression and the novel approach of Artificial Neural Networks (ANNs) were developed based on the value of clothing exports from 2012 to 2018 and applied to the trade pattern prediction of 2019. The results showed that ANNs can achieve a more accurate prediction in bilateral trade patterns than the commonly-used econometric analysis of the basic gravity trade model. Future studies can examine the predictive power of ANNs on an extended gravity model of trade that includes explanatory variables in social and environmental areas, such as policy, initiative, agreement, and infrastructure for trade facilitation, which are crucial for policymaking and managerial consideration. More research should be conducted for the examination of the balance between developing countries' economic growth and their social and environmental sustainability and for the application of more advanced machine-learning algorithms of global trade flow examination.

• 한국농공학회논문집
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• 제64권2호
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• pp.71-83
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• 2022

In this study, an indicator and assessment system for evaluating the monthly hydrological cycle was prepared using simple factors such as the landuse status of the watershed and topographic characteristics to the dynamic water balance model (DWBM) based on the Budyko framework. The parameters a1 of DWBM are introduced as hydrologic cycle indicators. An indicator estimation regression model was developed using watershed characteristics data for the introduced indicator, and an assessment system was prepared through K-means cluster analysis. The hydrological cycle assessment system developed in this study can assess the hydrological cycle with simple data such as land use, CN, and watershed slope, so it can quickly assess changes in hydrological cycle factors in the past and present. Because of this advantage is expected that the developed assessment system can predict changes in the hydrological cycle and use an auxiliary tool for policymaking.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.160-160
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• 2022

Floods are the most common natural disasters and are annually causing severe destructions worldwide. Human activities, along with expected increased extreme precipitation patterns as a result of climate change enhance the future potential of floods. There are proven evidence that infrastructure based responses to flood disaster is no longer achieving optimum mitigation and have created a false sense of security. Nature-based solutions(NBS) is a widely accepted sustainable and efficient approach for disaster risk reduction and involves the protection, restoration, or management of natural and semi-natural ecosystems to tackle the climate and natural crisis. Adoption of NBS in decision-making, especially in developing nations is limited due to a lack of sufficient scenario-based studies, research, and technical knowledge. This study explores the knowledge gap and challenges on NBS adoption with case study of developing nation, specially for flood management, by the study of multiple scenario analysis in the context of climate, land-use change, and policies. Identification and quantification of the strength of natural ecosystems for flood resilience and water management can help to prioritize NBS in policymaking leading to sustainable measures for integrated flood management.

• International Journal of Computer Science & Network Security
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• 제24권5호
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• pp.21-32
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• 2024

This study analyzes the global literature on the black open-access phenomenon from 2011 to 2023. A bibliometric analysis was conducted using the Scopus database. The search strategy employed advanced queries with multiple synonymous terms to ensure exhaustive retrieval of relevant documents. The VOSviewer software was employed to visualize the co-occurrence networks. The findings reported 90 papers published during the study period. An evolving scholarly landscape was revealed, with heightened attention from 2016 onwards, peaking in 2017, 2021, and 2023. Articles constitute 83.3% of the total published documents. Singh and Srichandan are prolific authors, with 11.2% of the total publications. The United States contributes 18.9% of the papers, followed by India and Spain. Information Development and Scientometrics are pivotal journals in scholarly discussions about this scope, contributing 4.4% of publications. Co-occurrence network visualization revealed "Sci-Hub" and "open access" as the most used keywords in the global literature. The findings underscore the need for additional research to discover innovative business models to safeguard intellectual property rights while meeting researchers' evolving needs. The importance of this paper comes from being the first bibliometric study analyzing international literature related to this phenomenon, which provides a basis for future research efforts and policymaking.

• Asian Pacific Journal of Cancer Prevention
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• 제15권19호
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• pp.8229-8237
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• 2014

Background: Organized cervical screening has decreased the incidence of cervical cancer. However, screening strategies vary in different countries. Objectives: We performed a systematic review to evaluate the economic aspects of different screening methods. Materials and Methods: We searched databases and then data were abstracted from each study. We evaluated articles based on different types of screening tests as well as screening age and intervals, and using incremental cost effectiveness ratio via calculating quality adjusted life years (QALY), or life years gained (LYG) per cost. We compared the incremental cost-effectiveness ratio (ICER) of each study using GDP per capita. Furthermore, we compared national guidelines with recommendations of cost-effectiveness studies in different countries. Results: A total of 21 articles met our criteria, of which 19 studies showed that HPV DNA testing, 13 suggested an age of 30 years or more, and 10 papers concluded that at least a 5-year or longer interval were the most cost-effective strategies. In some countries, the national guidelines did not match the recommendations of the cost-effectiveness studies. Conclusions: HPV testing, starting at age 30 years or older and repeated at 5-year or longer intervals, is the most cost-effective strategy in any setting. Closer collaboration with health economists is required during guideline development.

• International Journal of Knowledge Content Development & Technology
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• 제5권1호
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• pp.15-32
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• 2015

This article analyzes motivations behind social sciences blog posts citing journal articles in order to find out whether blog citations are good indicators for the societal impact or benefits of research. A random sample of 300 social sciences blog posts (out of 1,233 blog posts) from ResearchBlogging.org published between 01/01/2012 to 18/06/2014 were subjected to content analysis. The 300 blog posts had 472 references including 424 journal articles from 269 different journals. Sixty-one (22.68%) of all cited journals were from the social sciences and most of the journals with high frequency were highly cited general science journals such as PNAS and Science. Seventy-five percent of all journals were referenced only once. The average age of articles cited at the time of citation was 5.8 years. Discussion and criticism were the two main categories of motivations. Overall, the study shows the potential of blog citations as an altmetric measure and as a proxy for assessing the research impact. A considerable number of citation motivations in blogs such as disputing a belief, suggesting policies, providing a solution to a problem, reacting to media, criticism and the like seemed to support gaining societal benefits. Societal benefits are considered as helping stimulate new approaches to social issues, or informing public debate and policymaking. Lower self-citation (compared to some other altmetric measures such as tweets) and the fact that blogging involves generating content (i.e. an intellectual process) give them an advantage for altmetrics. However, limitations and contextual issues such as disciplinary differences and low uptake of altmetrics, in general, in scholarly communication should not be ignored when using blogs as a data source for altmetrics.