• Journal of the Korean Society of Earth Science Education
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• v.5 no.3
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• pp.245-255
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• 2012

The purposes of this research are to analyze preservice elementary teachers' degree of difficulty in classes of seasonal variation and suggest the measures of classes so that preservice elementary teachers can progress classes of seasonal variation effectively. To achieve them, the research was conducted for 90 first graders completing teaching method of elementary science in P university of education from Sep. to Dec. 2012. This research was conducted, based on the results of in-depth interview for 9 preservice elementary teachers who performed classes of seasonal variation, survey on the degree of class difficulty and evaluation of classes on 8 classes theme of Earth sector in elementary science. The results of this research are as follows. The first, preservice elementary teachers had relatively high class difficulty for teaching seasonal variation among the sector of the earth in elementary science. The second, in the evaluation of preservice elementary teachers' classes, the more the subject showed high class difficulty, the more the score of class evaluation was low. The reason is analyzed that high class difficulty reduces teacher's confidence. The third, preservice elementary teachers had insufficient knowledges and concepts which are basically necessary for the classes of seasonal variation. Especially, it was more serious for preservice elementary teachers who didn't learn Earth-science during their high school time. The fourth, it is necessery that concrete and systematical teaching method should be developed so as to improving preservice elementary teachers' teaching method for the classes of seasonal variation.

• Asian Journal of Innovation and Policy
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• v.1 no.1
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• pp.1-30
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• 2012

The status and functioning of Indian universities is explored in the Indian context from an NSI perspective. Whilst NSI is the main guiding post, the very social and economic context of Indian situation reflect the theoretical underpinning of this paper. The First part serves as a background to knowledge institutions and university sector in India. Basically, it identifies the main actors and agencies of India's NSI, namely, public research system comprising national laboratories, main science and technology agencies and councils and the university system. Given the focus of the paper on Indian universities in a macro historical perspective, the Second part is devoted to trace the growth and structure of university sector in terms of three phases, namely, 1940s to 1980; 1980 to 1990; and the era of liberalization after 1991. The Third part of the paper is devoted to knowledge production and knowledge diffusion. There are some important findings coming out of the quantitative data. It is argued that Indian production of doctorates is falling behind countries like China. Further, Indian universities are yet to achieve Humboltian goal. Finally, the paper has a concluding section which concerns with the current and future challenges facing Indian universities and their role in India's NIS.

• Journal of Family Resource Management and Policy Review
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• v.13 no.1
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• pp.61-81
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• 2009

The purpose of this study was to investigate the policy demands of the family sector for work-family balance, with a focus on the child care and household labor provisions. For empirical analysis, data were collected from 197 dual-income families with at least one young child under age 10 in the metropolitan area via self-administered questionnaires. The major findings of this study were as follows. First, child care provisions for working mothers and fathers were insufficient and unfair, and the ratio of child care provisions offered by familial child care network was high. The characteristics of child care provisions for working parents were associated with family structure, working conditions, and demographic variables. Second, household labor provisions for working mothers and fathers were also insufficient and unfair, and the ratio of socialization was high. Third, the level of family satisfaction varied by the level of child care and household labor provisions, respectively, controlling family structure, working conditions, and demographic variables. The empirical results of the study provided policy implications for work-family balance.

• Journal of Distribution Science
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• v.11 no.7
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• pp.15-22
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• 2013

Purpose - The study investigates the influence of tourism and hospitality industry on economic growth and CO2 emissions. Research design, data, and methodology - In the empirical analysis, unit root tests, cointegration test and vector error correction model regression using time series data of South Korea from the first quarter of 1970 to the third quarter of 2010 are performed to examine the long-run equilibrium relationship and short-run dynamics among the tourism and hospitality industry, CO2 emissions, economic growth and other industry sectors. Results - Results indicate that a long-run equilibrium relationship exists among these variables. Furthermore, the tourism and hospitality industry and CO2 emissions have high significant positive effect on economic growth. The tourism and hospitality industry in Korea, in turns, shows a high significant positive impact on economic growth while the industry sector incursa high significant negative impact on CO2 emissions. Conclusions - The tourism and hospitality industry in Korea may havebeen prompted by several factors such as accelerated process of technological innovation or energy and environmental policies. These findings suggest that the effectively managed tourism and hospitality sector in Korea has resulted in both economic growth and a reduction in CO2 emissions.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.661-670
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• 2020

This paper investigates the influence of the economic integration exemplified by the Eurasian Economic Union on the entrepreneurial ecosystem in the Kazakhstan corporate sector. Using data collected from 204 small-, medium-, and large-sized Kazakh companies, the researchers analyzed the collected data with percentile. Findings of this study show that small- and medium-sized enterprises, especially in the tertiary sector of the Kazakh economy, are not that much affected by regional integration, whereas large firms have been significantly impacted. The originality of the paper is threefold. First, the research explores the entrepreneurial ecosystems in its focus on geographic location or digital technologies that came across mainly from the ICT space. This is becoming pervasive across mechanical systems, communications, infrastructure, and the built-up environment. Second, the originality of the paper lies in focusing on the entrepreneurial ecosystems' influence on the business processes by clearly understanding the regional, national, and international trends in different markets. Third, the paper is first of its kind to contribute an updated perspective on the entrepreneurial ecosystem's influence on economic integration to the policymakers of Kazakhstan. Policymakers will gain expertise on how to manage network effects while planning investment projects, as well as transactions, modes, and fixed nodes, acquisition, and greenfield investments.

• Proceedings of the Korean Society for Quality Management Conference
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• 2006.04a
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• pp.120-125
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• 2006

This study attempts to investigate a general service sector model which aims to describe the extent to which customer repurchase intention is influenced by customer satisfaction, customer loyalty, switching cost. 195 consumers in service sector were used into data analysis. The data were analyzed by factor analysis and Structural Equation Model using SPSS and AMOS program. The results show that nearly all of the hypothesized relationships construct are supported. First, the direct effects of customer satisfaction on customer loyalty and switching cost were com firmed. The service company not only strengthens customer loyalty, but also strategically makes the most use of switching cost to satisfy customer satisfaction and create sustainable company advantages. Second, the interactive relationships among switching cost and customer loyalty were very significant. The proper management of these mediating variables plays key roles in connecting customer satisfaction with repurchase intention. Third, the effects of customer loyalty and brand preference on repurchase intention were supported but switching cost rejected in the path analysis. Implications of the results for path analysis are discussed and future research directions are offered.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.543-549
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• 2021

The stock market plays a crucial role in the growth of industry and trade, which eventually affects the economy. This paper studies the determinants of stock market development in Jordan using yearly time-series data (1978-2019). The autoregressive distributed lag approach is applied to examine co-integration, while the vector error correction model is employed to estimate (long-run and short-run) causal relationships. The results show that macroeconomic determinants such as gross domestic product, gross domestic savings, investment rate, credit to the private sector, broadest money supply, stock market liquidity, and inflation rate are important determinants of stock market development. These findings provide vital implications for policymakers in developed and emerging stock markets. First, economic development plays an imperative role in stock market development. Second, developing the banking sector is mandatory because it can significantly promote stock market development. Third, domestic investment is a significant determinant of stock market development, especially in emerging countries. However, it is vital to launch policies that lead to encourage investment and promote stock market development, and this could be done through (1) encouraging competition, (2) improving the institutional framework, and (3) removing trade blocks by establishing a mutual connection between foreign private investment entities and government authorities.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.4
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• pp.87-96
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• 2023

ChatGPT, a leader in generative AI, can use natural expressions like humans based on large-scale language models (LLM). The ability to grasp the context of the language and provide more specific answers by algorithms is excellent. It also has high-quality conversation capabilities that have significantly developed from past Chatbot services to the level of human conversation. In addition, it is expected to change the operation method of the tourism industry and improve the service by utilizing ChatGPT, a generative AI in the tourism sector. This study was conducted to explore ChatGPT trends and paradigms in tourism. The results of the study are as follows. First, keywords such as tourism, utilization, creation, technology, service, travel, holding, education, development, news, digital, future, and chatbot were widespread. Second, unlike other keywords, service, education, and Mokpo City data confirmed the results of a high degree of centrality. Third, due to CONCOR analysis, eight keyword clusters highly relevant to ChatGPT in the tourism sector emerged.

• Korean Journal of Agricultural Science
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• v.50 no.4
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• pp.953-966
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• 2023

As the importance of renewable energy diffusion spreads, promotion of sustainable renewable energy projects such as agrivoltaics is expected to accelerate. Furthermore, to promote agrivoltaics projects, it must be considered the legislation related to agrivoltaics and Chungnam Province's local policy. This research focuses on the selection of the most suitable sites for agrivoltaics installations in Chungnam Province in South Korea. Therefore, the process of this research was as follows. First, the legislation related to agrivoltaics and local policy in Chungnam Province were identified. Second, it employs an analytic hierarchy process (AHP) to consider important criteria and their weights for site selection. Third, based on the weights calculated AHP, geographic information system (GIS) was performed to select most suitable location selection of agrivoltaics installations in Chungnam Province. The analysis identified approximately 60 promising most suitable location for agrivoltaics installations in Chungnam Province, primarily in the northern part of Chungnam Province. These areas are expected to meet electricity demands in nearby regions since these are relatively adjacent to Gyeonggi Province. According to the results of research, policy suggestions related to agrivoltaics were presented separately into the agricultural sector and the electricity power sector. The study's results serve as a valuable resource for future national-level candidate site selection for agrivoltaics projects.

• Journal of Technology Innovation
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• v.21 no.1
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• pp.1-26
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• 2013

The objectives of this paper are to analyze the effect of government R&D expenditure on employment in the Korean manufacturing sector in which employment is rapidly declining. According to the results of our empirical analysis, government R&D expenditure decreases the level of employment in Korean manufacturing sector in short term period, but it has positive effect on employment by compensation effect in the middle and long term period. Second, the effect of private R&D expenditure on job creation is three times larger than that of government R&D expenditure. Third, costs of labor and capital has negative effect on employment. This study is believed to help understanding the relation between R&D expenditure and employment, and providing policy implications of how to plan and manage government R&D expenditure as a tool of job creation.