• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.369-378
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• 2024

The aim of this study is to conduct a comparative study on the sustainability of the public pension. While the mainstream view on the sustainability of the public pension presupposes financial sustainability, the original purpose of guaranteeing retirement income has been overlooked. The sustainability of the public pension needs to consider not only financial sustainability, but also various factors such as demographic structure, labor productivity, industrial structure, life cycle of working households, government spending on public pensions, economic growth, and social consensus. With this awareness of the problem, this study conducted a fuzzy set qualitative comparative study in 44 countries, including Korea. As a result of the analysis, it was found that Korea had high financial sustainability for a single year, but relatively low integration related to social consultation and public pension operation, and adequacy such as the degree of guarantee and linkage with other pension systems was also relatively low. The sustainability of the broader public pension should be emphasized not only for financial sustainability, but also for adequacy and integration.

• 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.

• 한국사회정책
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• v.25 no.4
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• pp.301-321
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• 2018

The purpose of this paper is to analyze whether any combination of the quantitative and qualitative aspects of the public pension system is a causal factor for the elderly poverty reduction rate. For this, fuzzy-set qualitative comparison analysis was conducted with the poverty reduction rate as the outcome condition variable, the public pension expenditure ratio, the redistributive index, the first floor public pension weight, the second floor public pension weight and the second floor forced private pension weight did. As a result of the analysis, the combination of high public pension expenditure ratio, low two - tier public pension share and high two - tier compulsory private pension share has become a cause of high poverty reduction rate of the elderly. And more various forms of association were found as the cause of low poverty reduction rate of the elderly. This paper suggests policy proposals based on the above findings.

• The Journal of the Convergence on Culture Technology
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• v.5 no.1
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• pp.27-36
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• 2019

The industrialization theory that industry and economic development of country has an important influence on the development of the welfare state had become a major theory explaining the development of the welfare state. However, the theory of industrialization faced criticism that the size of public welfare was relatively weak even in advanced industrial countries where industrialization developed. To complement and explain these limitations, The theory of democracy that the welfare state could be expanded as a strategy for election competition, and the theory of power-resources theory that welfare states could develop when the power of unions and left parties demanding welfare states were strengthened. This study uses Fuzzy-set analysis for the data of OECD countries adding industrial structure variables to existing theory of the development of welfare state. The result suggests that the proportion of manufacture such as industry structure of country is important for the development of welfare state.

• 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.

• 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.

• Knowledge Management Research
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• v.22 no.3
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• pp.235-252
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• 2021

The development of information and communication technology and COVID-19 have caused an unusual change in the hotel industry, and the demand for the contactless services such as service robots from hotel customers has surged. Therefore, this study investigates the perception of hotel customers on contactless services by applying a mixed-method analysis. Specifically, this study identified the causal correlations between variables through the structural equation model, and further applied the fuzzy set qualitative comparison analysis to derive patterns of variables that form the intention to use the non-face-to-face services. As a result of the analysis, it was shown that service experience co-creation, palyfulness, personalization, and trust had a significant effect on intention to use through the contactless service use desire. On the other hand, in the results of fuzzy-set qualitative comparison analysis, playfulness was derived as a core factor in all patterns. Based on these analysis results, this study provides academic basis for in-depth understanding of hotel customers' perception of contactless service and specific guidelines for hotel managers on the contactless service strategies in the era of COVID-19 pandemic.

• 한국노년학
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• v.41 no.1
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• pp.127-147
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• 2021

It is critical to secure stable financial resources and efficient financial management for local governments to promote elderly welfare. Using the Fuzzy Set Qualitative Comparative Analysis method, we empirically examined the conditions under which the 17 metropolises and provinces in Korea increase or decrease their budget for elderly welfare. After examining previous studies, socio-economic variables(ratio of elderly people, ratio of elderly welfare recipients), financial variables(financial independence ratio), and political administrative variables (number of regulations on elderly welfare) were included in the analyses to determine the causal conditions of elderly welfare budget per person. Fs/QCA resulted in three combinations of elderly welfare budget per person: first, the combination of low ratio of elderly people, high ratio of elderly welfare recipients, and low number of regulations on elderly welfare; second, the combination of low ratio of elderly welfare recipients, low financial independence ratio, and high number of regulations on elderly welfare; and lastly, the combination of high ratio of elderly people, high ratio of elderly welfare recipients, and low financial independence ratio. Implications for elderly welfare were made considering socio- economic, financial, and political administrative circumstances based on the study results.

• Information Systems Review
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• v.21 no.1
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• pp.113-133
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• 2019

Gentrification, caused by residents who are being forced out due to the rise of rent with vitalization by an excessive increase of city tourists and Touristification, meaning of phenomenon of residents' migration caused by residential area turning into tourist attraction have recently pointed out as a global problem. In Korea, the phenomenon such as environmental pollution, the rise of land value and rent, and the weakening of community culture in Jeju island and Bukchon Hanok Village has appeared as well. This phenomenon has become a serious problem by hindering resident's quality of life. In this circumstance, Smart tourism city has been regarded as a solution of these problems. Hence, this study chose Busan city, which has been designated as a smart city since 2015, and examined the complex impacts of the economic benefits, social costs, environmental substantiality, cultural benefits, and technical effects derived from tourism development on the residents' deteriorated quality of life based on Fuzzy-set Qualitative Analysis (fsQCA). As a result, three patterns of the hindrance to residents' quality of life were derived. If social costs of tourism development are perceived to be large, the residents perceive deteriorated quality of life, even if they recognize essential benefits (technological and economic benefits) (Pattern #1) or secondary benefits (environmental and cultural benefits) (Pattern #2) of tourism development. In addition, some residents were found not to recognize any benefits of tourism development (Pattern #3).

• Information Systems Review
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• v.19 no.3
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• pp.127-154
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• 2017

This study aims to identify various service innovation patterns in the service industry and understand the main differences among them. We attempt to create a new typology of service innovation by analyzing its patterns based on the four major dimensions of service innovation (i.e., service concept, service delivery, customer interaction, and technology). We then investigate whether firms pursuing different service innovation patterns significantly differ from one another in terms of their performance (high and low performance). Based on empirical data collected from 198 Korean firms in the knowledge-intensive business service sector, four major clusters composed of different service innovation dimensions are identified. These four clusters can be interpreted as specific service innovation patterns, including "technology based high customer interaction," "high technology based high service delivery," "service delivery and high customer interaction-integrated," and "strongly balanced" innovators. High firm performance does not depend on the individual service innovation dimension but on the specific configurations of such service dimensions. Customer interaction also has an important role in achieving innovation success and improving firm performance, while technology has a key role in enhancing firm performance. This study sheds new light on service innovation research by developing a new typology of service innovation, identifying four major clusters as service innovation patterns, and exploring the relationship between service innovation patterns and firm performance.