• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.405-420
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• 2018

As the intelligent vehicle market continues to develop relevant technologies and services for consumers, it is necessary to understand the characteristics of potential consumers. The purpose of this study is to identify and understand the types of potential consumers of intelligent vehicle using the Q-methodology. A Q-frame was constructed using thirty six statements from intelligent vehicle related literature concerning core technology, technology acceptance and personal consumption value, legal system and policy and social awareness. Q-sorting and in-depth interviews were conducted using thirty nine P-samples snowballed. Analysis produced four types of potential consumers for intelligent vehicle: Smart Car Consumer, Reasonable Consumer, Safety Car Consumer, and Smart Device Consumer. Smart Car Consumer value the vehicle capability of intelligent vehicle as most important while Reasonable Consumer focus upon the economics of intelligent vehicle. Safety Car Consumer recognize the safety of intelligent vehicle as most important while Smart Device Consumer highly value the IT functions provided by intelligent vehicles. Across these four different types of consumers, preventing injuries of intelligent vehicle drivers turned out to be the most common critical factor in assessing intelligent vehicle. Implications for the intelligent vehicle market is discussed at the end with further studies needed.

• The Journal of the Korea Contents Association
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• v.18 no.12
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• pp.309-318
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• 2018

In this study, we investigated subjective perceptions of one retailer's PB products for large retailers by applying the Q methodology to examine subjective trends of consumers who purchased and experienced PB products at home. In this study, we examine how HMR-type PB products developed and released by large retailers according to the demographically changing social structure represent the meaning and subjective acceptance of PB products in a single licensee through Q methodological studies. The purpose of this paper is to propose various direction and improvement plan of food product development and release for one license of large distribution company in the future. Based on these research problems, five types of type analysis results were derived. Specifically, the first type (N = 5): Brand image trust type, the second type (N = 5): NB product preference type, the third type(N = 2): Easy cooking preference type, and fourth type (N = 2): Pursuing taste for price type and fifth type (N = 2): Quantitative pursuit for price type.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.217-225
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• 2021

This study aimed to provide implications required to establish a content strategy by examining the influencing factors affecting the acceptance of curation services for 320 OTT users, and the main results are as follows. First, innovativeness was found to have a positive effect on performance expectations. Second, innovativeness was found to have a positive impact on the effort expectation. Third, performance expectation had a positive effect on the intention to use continuously. Fourth, it was shown that the effort expectation had a positive effect on the intention to use continuously. Fifth, social influence was found to have no significant effect on the intention to use continuously. Sixth, it was found that the facilitating conditions did not significantly affect the intention to use continuously. The above results can be assessed as the higher the OTT users perceive the performance and effort expectations of the curation service, the higher their intention to continue using them. This study is meaningful in that it verified the factors affecting the intention to use the OTT curation service and expanded the UTAUT model.

• The Journal of Korean Philosophical History
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• no.50
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• pp.171-200
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• 2016

The full-scaled study of Joseon conducted by Japan in the 1910s was part of its colonial policy, while the native Joseon studies against it contained political aspiration to recover the national rights and independence. Accordingly, the conceptual meaning of 'Joseon' varied according to its subject of speech. The establishment of modern nation-state failed along with the extinction of Korean Empire, but 'Joseon' was newly discovered within national ideology. It became a historical concept in which the experience of the past and the expectation toward the future could be united. The so-called 'Joseon Studies' was only limited to intellectuals in the academic circle, but 'Joseon' embraced the articulations from more various social agents. Furthermore, it is only natural that 'Joseon Studies' should be interpreted within the historical semantics of 'Joseon', considering the connection between concept and discourse. In his The History of Joseon Civilization, An Hwak encompassed the history from the times of ancient mythology to the contemporary times under the banner of 'Joseon'. Opposing Japanese distortion of history carried out in the name of historical positivism, he idealized Joseon history as comparable to that of the Western democracy. He extended the study of 'Joseon' into culture at large, foreshadowing a kind of Joseon philosophy. In his An Overview of Joseon Philosophical Ideas, the first description of 'Joseon philosophy' as an independent field, he proposed philosophy as one of three sources of pride in Joseon and asserted its uniqueness and originality compared to the West. It was an attempt to grasp the peculiarity of Joseon ideas from a perspective of the history of universal human civilization. He considered 'Jong'(倧) as an ideological foundation held from the ancient to the modern times, and the acceptance of Buddhism and Confucianism as beneficial to 'Joseon philosophy'. The birth of 'Joseon philosophy', the modern transformation of the traditional knowledge system, was an intellectual experiment to apply traditional knowledge to the modern disciplinary classification system.

• Journal of Convergence for Information Technology
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• v.11 no.3
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• pp.54-67
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• 2021

This study is a secondary data study that analyzes the factors affecting the quality of life of the elderly with metabolic syndrome and the elderly with metabolic syndrome with osteoporosis using data from the 7th year of the National Health and Nutrition Survey (2018). The subjects of this study were 639 patients with metabolic syndrome and 161 patients with metabolic syndrome with osteoporosis. For data analysis, the composite sample Rao-Scott χ2 test, general linear model t-test, and regression model were used. As a result of the study, the factors that lowered the quality of life of metabolic syndrome were age, cohabitation, strength training, subjective health status, activity restriction, body mass index and depression, and the explanatory power was 50.4% (F=515.96, p<.001). In metabolic syndrome with osteoporosis, age, subjective health status, activity restriction, and stress were the factors that lowered the quality of life, and the explanatory power was 48.6% (F=10.42, p<.001). Based on these results, it is necessary to develop and provide an intensive multidisciplinary program for the elderly with metabolic syndrome accompanied by osteoporosis to solve the problem of activity restrictions and manage stress reduction through positive acceptance of health status, instrumental and social support, and caring support.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.215-228
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• 2021

The purpose of this qualitative study was to identify cultural factors among older Americans that could influence them to accept new welfare technologies. This study also explored how social and cultural-based plans could increase the acceptability of welfare technologies for improving the quality of life of older adults in the future. In-depth interviews were conducted with ten professionals who work with older adults. The collected interview data were subsequently analyzed using a two-cycle open coding process. The data analysis generated 29 codes that were organized into 7 primary codes, or categories, and 22 secondary codes nested within the primary codes. Several themes were identified: individualism, family-oriented culture, pragmatism, low-context culture, privacy, fun-seeking culture, and a less hierarchical culture. These findings will inform the development of a future survey to examine the relationship between older adults' intentions when using technology and socio-cultural factors in community settings. In order to explore the different impact levels of the cultural factors found in this study, the future study will need to include measures for identifying socio-cultural variations among individuals in one country or across countries.

• Journal of Technology Innovation
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• v.31 no.2
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• pp.173-214
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• 2023

Investments in new technologies have grown significantly in size, and science and technology have a large and complex impact on society at large. With people's great interest in technology, the government has the duty to accurately assess the influence of new technologies on society to facilitate their acceptance in society. For this purpose, technology impact assessment should be performed to facilitate a social consensus. There has been research on the initial methods of technology assessment for 50 years. Following various academic studies and discussions based on numerous new technology response policies, coupled with the examination of trends and changes over time, academia and policymakers around the world have paid attention to the multilateral analysis of the impact of new technologies on future society. This study focuses on research changes such as the stage of forecasting factors that should consider the technology assessment of new technologies, despite differences between the development methods for the assessment between developed countries and South Korea. The analysis yielded three factors of technological understanding of awareness, professionalism, and gender characteristics, in addition to a previously identified factor. The three factors are then suggested as forecasting factors for new technology. The findings of this study provide both academic and policy evidence for technology assessment based on the country's Framework Act on Science and Technology.

• Journal of Service Research and Studies
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• v.13 no.2
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• pp.99-113
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• 2023

In a customer-based industry, customer retention is the competitiveness of a company, and improving customer retention improves the competitiveness of the company. Therefore, accurate prediction and management of potential dormant customers is paramount to increasing the competitiveness of the enterprise. In particular, there are numerous competitors in the domestic card industry, and the government is introducing an automatic closing system for dormant card management. As a result of these social changes, the card industry must focus on better predicting and managing potential dormant cards, and better predicting dormant customers is emerging as an important challenge. In this study, the Recurrent Neural Network (RNN) methodology was used to predict potential dormant customers in the card industry, and in particular, Long-Short Term Memory (LSTM) was used to efficiently learn data for a long time. In addition, to redefine the variables needed to predict dormant customers in the card industry, Unified Theory of Technology (UTAUT), an integrated technology acceptance theory, was applied to redefine and group the variables used in the model. As a result, stable model accuracy and F-1 score were obtained, and Hit-Ratio proved that models using LSTM can produce stable results compared to other algorithms. It was also found that there was no moderating effect of demographic information that could occur in UTAUT, which was pointed out in previous studies. Therefore, among variable selection models using UTAUT, dormant customer prediction models using LSTM are proven to have non-biased stable results. This study revealed that there may be academic contributions to the prediction of dormant customers using LSTM algorithms that can learn well from previously untried time series data. In addition, it is a good example to show that it is possible to respond to customers who are preemptively dormant in terms of customer management because it is predicted at a time difference with the actual dormant capture, and it is expected to contribute greatly to the industry.

• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.37-64
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• 2022

As the social acceptance of artificial intelligence increases, the number of cases of applying machine learning methods to companies is also increasing. Technical factors such as accuracy and interpretability have been the main criteria for selecting machine learning methods. However, the success of implementing machine learning also affects management factors such as IT departments, operation departments, leadership, and organizational culture. Unfortunately, there are few integrated studies that understand the success factors of machine learning selection in which technical and management factors are considered together. Therefore, the purpose of this paper is to propose and empirically analyze a technology-management integrated model that combines task-tech fit, IS Success Model theory, and John Rice's algorithm selection process model to understand machine learning selection within the company. As a result of a survey of 240 companies that implemented machine learning, it was found that the higher the algorithm quality and data quality, the higher the algorithm-problem fit was perceived. It was also verified that algorithm-problem fit had a significant impact on the organization's innovation and productivity. In addition, it was confirmed that outsourcing and management support had a positive impact on the quality of the machine learning system and organizational cultural factors such as data-driven management and motivation. Data-driven management and motivation were highly perceived in companies' performance.

• Issues in Feminism
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• v.10 no.1
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• pp.123-158
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• 2010

For the last several months, abortion debates have sparkled in Korea. The government has escalated the need of active punishment of illegal abortions to solve low fertility problems, while some obstetricians and gynecologist have proclaimed stoppage of illegal abortions suing colleague doctors who has conducted illegal abortions. Women's rights groups and researchers have also responded to the abortion debate claiming that women's decisions over their pregnancy are important in making of abortion policies. To contribute to Korean abortion debates, his paper aims to analyze European experiences of abortion polices in relation to the consequences on women's health. For the analysis of European abortion experiences, three countries - Ireland, U.K, and Netherland -are chosen. These three countries are selected since their legal and social acceptance of abortion and the level of safe abortion system are different. Each country is reviewed by national abortion policy, legal regulation, medical system and the role of civil society. The analysis shows several implications for abortion debates occurring in Korea. Various systematic policy mechanisms - abortion on women' request, abortions without complicated doctor's referrals, transparent and anonymous counseling and information provision regarding abortion, training and education for medical professionals to guarantee high quality abortion, abortions funded publicly for women to improve their access to abortions, steady monitoring and auditing abortion procedures and outcomes for safe abortion and so on - are required in Korean society. Two track procedures - safe abortion on women's request and prevention of unwanted pregnancy - are needed for reproduction of healthy women and society.