• Human Ecology Research
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• v.60 no.4
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• pp.595-607
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• 2022

This study aims to clarify the relationship between family policy and children's quality of life through an international comparison and to determine which family policy factors contribute to children's quality of life. The research question is "How can family policies be combined to improve children's quality of life in terms of health and economy?" It includes nine categories of family policies related to money, service, and leave. Measures of children's quality of life include low birth weight, infant mortality, and child poverty. Using the OECD Family Database, and the OECD Child Well-being Data, fuzzy-set Qualitative Comparison Analysis (fsQCA) was used among 20 OECD countries. Combinations of family policies significant to the children's quality of life were derived from the results. This study contributes to the literature by revealing the effectiveness of states' investment in family policy. In addition, the study indicates that since family policies interact with each other, those policies combine to improve children's quality of life.

• Journal of Local Government Studies
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• v.25 no.1
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• pp.91-116
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• 2013

The purpose of this paper is to find out the set of the factors influencing on the successful voluntary consolidation among local governments. This paper considers the voluntary consolidation as a kind of coordination mechanism and institutional collective action process between local governments, and identifies the configurations of the causal factors influencing the voluntary consolidations by applying the fuzzy-set analysis. It is found that the sets of the causal factors which include political and economic homogeneity factors in the region, and interlocal political, economic, and social homogeneity factors, and prior consolidation experience between regions have positive effects on the consolidations. Also, it turns out that interlocal homogeneity and conformity between regions should be considered significantly for institutionalization which supports the consolidation between local entities.

• The Journal of the Korea Contents Association
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• v.17 no.5
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• pp.499-508
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• 2017

For analyzing the performance determinants of ODA projects in a technical and vocational education and training, this research analyzed the performance determinants of effectiveness representing the direct benefit and impact representing the long-term development effects of ODA project using FsQCA. As a result, the effectiveness of ODA project is achieved when relevance, sustainability and impact are high, or relevance, impact and efficiency are high. The impact of ODA project is achieved when relevance, sustainability and effectiveness are high, or relevance, effectiveness and efficiency are high. Two solutions for achieving effectiveness and two solutions for achieving impact show equifinality. The core factors for achieving effectiveness are relevance and impact, and the core factors for achieving impact are relevance and effectiveness. Also sustainability and efficiency are substitutability. A single causal variable can not have an effect on the ODA performance, but combined more than three causal variables can have an effect on the ODA performance. Therefore this research verified that collectives of causal variables rather than single causal variable should be considered to achieve the performance of ODA project in technical and vocational education and training.

• The Korean Journal of Franchise Management
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• v.10 no.2
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• pp.49-58
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• 2019

Purpose - As the growth potential of the cultural contents industry steadily grows, the cinemas industry is growing fast especially due to popularity and commerciality. The recent in the cinemas industry is evolving on multiplex cinemas that combine cultural facilities such as theaters, restaurants, and shopping centers. Due to the rapid growth of multiplex cinemas, many researchers have studied the characteristics of visiting customers in Korea. Among them, selection attribute of multiplex cinemas, including the service quality and physical environment, is important because it may examines the cause of customer 's behavior. Thus, this research focuses on the effects of the selection attributes of the multiplex cinemas on customer satisfaction and their loyalty. This research suggests the guidelines for how cinemas should manage their customers and build their customers satisfaction and loyalty that improve business performance. Research design, data, and methodology - This study tests the structural relationship between selection attributes of multiplex cinemas, customer satisfaction, and loyalty. selection attributes of multiplex cinemas divide into five sub-dimensions such as movies facility quality, services, cleanliness, accessibility, and snack bars quality. In order to examine the purposes of this research, research model and hypotheses were developed. All constructs were measured with multiple items developed and tested in the previous studies. The data were collected from 100 students in their 10-20s and were analyzed using SPSS 22.0, SmartPLS 3.0 and fsQCA program. Result - The findings of this research are as follows. First, all selection attributes except cleanliness have significant positive impacts on customer satisfaction and loyalty. Second, customer satisfaction has significant positive impact on loyalty. Third, as a result of fsQCA, high satisfaction and high accessibility were the necessary conditions on loyalty. Fourth, the necessary conditions for male and female groups were different. Conclusions - The implications of this study are as follows. Overall, multiplex cinemas should manage selection attributes basically regardless of the type of theater. Especially, cleanliness was not significant, but the customer probably consider it an essential and basic factors. Also, they are able to manage the selection attributes differently depending on the type of gender. For the male customers, it is effective that centralized strategy and for female customers, it is effective that emphasized the multiplex cinemas image.

• Information Systems Review
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• v.19 no.4
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• pp.1-25
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• 2017

Despite high uncertainty on financial return, firms have continuously increased their investment on technologies because they recognize the potential value of technology investment in terms of enhancing operational efficiency and sustaining competitive advantage. Notably, an individual technology investment pattern or strategy within an industry may ultimately lead to significant differences in business performance. Hence, we first categorized technology investment into traditional research and development investment and information technology investment. Afterward, we examined the effects of each pattern with combination of the two types of technology investment on business performance according to firm size and position in the supply chain through fuzzy-set qualitative comparative analysis. Data collected from 562 manufacturing firms in Korea were used in the analysis. Results showed that large-sized firms were slightly affected with microscopic patterns in their technology investments, whereas small firms were highly affected with their technology investment patterns and their positions in the supply chain. The findings implied that a small enterprise requires an appropriate technology investment strategy to achieve successful business outcomes.

• Information Systems Review
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• v.26 no.1
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• pp.19-56
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• 2024

This study is empirical research to enhance understanding of AI (artificial intelligence) training data project in South Korea. It primarily focuses on the various concerns regarding data quality from policy-executing institutions, data construction companies, and organizations utilizing AI training data to develop the most reliable algorithm for society. For academic contribution, this study suggests a theoretical foundation and research model for understanding AI training data quality and its antecedents, as well as the unique data and ethical aspects of AI. For this purpose, this study proposes a research model with important antecedents related to AI training data quality, such as data attribute factors, data building environmental factors, and data type-related factors. The study collects 393 sample data from actual practitioners and personnel from companies building artificial intelligence training data and companies developing artificial intelligence services. Data analysis was conducted through Fuzzy Set Qualitative Comparative Analysis (fsQCA) and Artificial Neural Network analysis (ANN), presenting academic and practical implications related to the quality of AI training data.

• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.251-261
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• 2020

This study aims to suggest a new perspective that can account for variations in fertility rates across OECD countries. Most previous literature has highlighted the influence of government policies on fertility rates. This study focuses the role of job strain, unequal division of household labor, and life satisfaction on fertility rates. These factors are related to work-life balance, and play a crucial role in understanding variations in fertility rates across OECD countries. Using fuzzy set qualitative comparative research analysis (fsQCA), this study tests whether fertility rates can be explained by differences in the levels of job strain, gender equality at home, and life satisfaction across countries. The results are as follows: First, high fertility-countries show low levels of job strain, equal division of household labor, high levels of life satisfaction, and high levels of GDP. Second, a high level of GDP is not crucial for achieving high fertility rates. This study suggests that changes in working conditions and organizational culture are required to increase the fertility rate in Korea, since this can influence work-life balance, life satisfaction and equal division of household labor.

• Korean Journal of Social Welfare Studies
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• v.48 no.2
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• pp.71-95
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• 2017

This study aims (1) to identify whether real terms of imprisonment for sexual offenders against children are different between the first trial and appeal trial in 16 cases and (2) to assess which sentencing factors such as history of sexual crime of perpetrator, forgiveness of children, regretfulness of perpetrator, power of perpetrator, and relationship of perpetrator and victim influence sentencing period of imprisonment in the first and appeal trials, respectively. This study used cases which were prosecuted for sexual crimes against children since the protection act on the children and juveniles from sexual abuse was enacted in 2000. The target cases of the study include 8 first trials and 8 appeal cases which were appealed to the Supreme Court between 2000 and 2015. Result condition is the real term of imprisonment. Cause conditions include sentencing factors such as history of sexual crime, regretfulness, and power of perpetrator, forgiveness of child, and relationship between offender and victim. We employed Qualitative Comparative Analysis (QCA) for data analysis. We found that there are sentences in the first trial with lower terms than appeal trial regarding child sexual crimes. In addition, we found that (1) power of perpetrator and forgiveness of victim significantly influenced sentencing periods of imprisonment at levels of courts; (2) cause condition considered as comparatively more important in the first trial was regretfulness of perpetrator(but not in the appeal trial); and (3) relationship of perpetrator and child was not important in sentencing for sexual crime at both levels of trials.

• Journal of Distribution Science
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• v.18 no.5
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• pp.35-47
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• 2020

Purpose: In the highly competitive franchise market, the perceived entrepreneurial passion and emotions of customers are very important, because it impacts on the success of companies. Thus, the purpose of this paper is to suggest how the impact of the franchise entrepreneurial passion and positive emotions on the brand trust and loyalty of customers. Research design, data and methodology: This study analyzes data was collected through questionnaires on customer(n=480) who had visited franchise restaurants. Analysis of used collected data was based on the mix method using quantitative and qualitative comparative analysis. Results: The quantitative analysis results showed inventing passion, developing passion, positive emotions that perceived by customers have a positive impact on brand trust. On the other hand, founding passion did not have an impact on loyalty in quantitative analysis. but when combined with developing passion in qualitative comparison analysis, but when combined with developing passion in qualitative comparison, that became the sufficient condition of high loyalty of customers. Conclusions: The franchisor of the Korean franchise industry is indiscriminately overusing the founding franchisees, causing social problems. In this situation, founding passion can have a negative impact on customers. Therefore, the franchisors must have management capabilities by strictly managing the founding rules of the franchisee and disclosing the corporate vision.

• Journal of Distribution Science
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• v.19 no.7
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• pp.61-73
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• 2021

Purpose: This study offers suggestions to e-commerce companies for increasing shoppers' repurchase intention by considering the effect of distribution information in online shopping. It applies complexity theory to incorporate habitual information search behavior and shopper characteristics into the Stimulus-Organism-Response model and indicates how these complex factors work together in online shopping. Research design, data, and methodology: This study used an interview survey of 158 Vietnamese consumers with an experience of online shopping. A fuzzy-set Qualitative Comparative Analysis (fsQCA) was used to examine the relationship between antecedents and outcomes depending on complex conditions in the given contexts. Results: The results (1) indicate the importance of observing information search patterns and investigating their influence on online distribution, and (2) clarify what kind of configurations, under what conditions, predict a high or low outcome; this provides evidence and hints for the development of frameworks for future studies. Conclusions: The findings suggest that shoppers' unconscious, habitual behavior can work with conscious attitude factors, such as satisfaction, to increase their repurchase intention. Hence, e-commerce companies should consider how to present useful distribution information and create functions that allow shoppers to engage with a variety of information while increasing their repurchase intention on the site.