• Journal of Korean Society for Quality Management
• /
• v.41 no.4
• /
• pp.601-610
• /
• 2013

Purpose: The purpose of this paper is to analyze the relationship between R&D investment and growth rate of manufacturing firms in Incheon. Methods: The balanced panel data of 246 firms which have existed for the period 2001-2012 are constructed. As a method of analysis, fixed effects panel data model is used. Results: There is a one year lag in the relationship between R&D intensity and the subsequent sales growth of firms and its relation depends on the firms' characteristics. Conclusion: We suggest the emphasis on R&D investment for firms' growth and the differentiated R&D program based on firm size. This article has the limitation that various types of R&D investment cannot be included in this analysis.

• Asian Journal of Business Environment
• /
• v.14 no.2
• /
• pp.1-10
• /
• 2024

Purpose: The purpose of this study is to investigate the essential factors contributing to the growth and success of smart cities, providing a comprehensive analysis of key elements that are crucial in fostering the development of smart cities. This study explored the impacts of technology-driven applications, corporate involvement, the role of experts, citizen co-creation, city-led strategy governance, and sustainable urban practices on overall attitudes towards smart cities. Additionally, the study examined the impact of overall attitude on the growth trajectory of the smart cities and satisfaction. Research design, data and methodology: To collect data, this study employed an online survey conducted by a reputable research organization. Data analysis involved the use of factor analysis, ANOVA, and regression analysis. Results: This study unveiled significant impacts of technology-driven applications, corporate involvement, the role of experts, citizen co-creation, city-led strategy governance, and sustainable urban practices on the overall attitudes. Furthermore, it demonstrated that the overall attitude significantly influences the growth trajectory of smart cities. Conclusions: This study identified key driving factors for smart city development, suggesting that the consideration of sustainable urban practices emerges as the most significant factor influencing the growth of the smart cities.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.2
• /
• pp.99-109
• /
• 2021

This study aims to examine the causal links between the fiscal components, i.e., government expenditures (GE) and government revenues (GR), and their impact on the economic growth of the Association of Southeast Asian Nations (ASEAN) region. This analysis considered secondary panel data from 1990 to 2019 at an annual frequency. The data is obtained from the Asian Development Bank (ADB) and World Bank Database. A panel cointegration and panel DH causality (Dumitrescu and Hurlin) approach was employed on financial data at an annual frequency from 1990 to 2019. The findings from panel unit root and panel cointegration tests demonstrate that, at first, all the variables are stationary and cointegrated. The panel ARDL disclosed that GE has a long-run connection with GDP, is significantly and positively associated with economic growth in the long run, whereas GR is significant in the short run. The contribution of GE is high in sustaining economic growth as compared to GR. Also, cointegration regression disclosed that GE is more sensitive toward GDP, while GR is less elastic. Lastly, the findings reveal that bidirectional causality exists between GE and GR variables. These results have policy implications for sustainable economic growth in the ASEAN region.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.12
• /
• pp.377-389
• /
• 2021

This study aims at investigating the effects of big accounting data on the sustainable business growth of listed firms in Thailand. In addition, it examines the mediating effects of accounting information quality and decision-making effectiveness and the moderating effects of digital innovation on the research relationships. The study's useful samples are the 289 listed Thai companies. To examine the research relationships, the structural equation model and multiple regression analysis are used in this study. According to the results of this study, big accounting data has a significant effect on accounting information quality, decision-making effectiveness, and sustainable business growth. Next, accounting information quality significantly affects decision-making effectiveness and sustainable business growth. Similarly, decision-making effectiveness significantly affects sustainable business growth. Both accounting information quality and decision-making effectiveness mediate the big accounting data-sustainable business growth relationships. Lastly, digital innovation moderates the effects of accounting information quality and decision-making effectiveness on sustainable business growth. Accordingly, In conclusion, big accounting data has emerged as a key source of sustainable competitive advantage. As a result, to succeed in competitive environments, businesses must have a thorough understanding of big accounting data.

• Journal of Distribution Science
• /
• v.21 no.1
• /
• pp.23-31
• /
• 2023

Purpose: this study is aimed at assessing the contribution of education and innovation to the economic growth of Kazakhstan, the correlation between them is checked based on two levels on a national scale and a regional scale. Based on the literature review, it was revealed that in the vastness of the scientific community, there are many views concerning the influence of educational and innovative factors on economic growth. Research design, data and methodology: the research methodology is divided into two levels, at the first level, a correlation analysis is carried out between key factors and the economic growth of the country (GDP), at the second level, the same factors are analyzed, but the impact on the economic growth of the region (GRP) is estimated. Statistical data on educational and innovation potential is taken from the Bureau of National Statistics for the period 2003-2021. Results: in this study, it was revealed that the economic development of regions could be influenced by such indicators that cannot affect the entire state in aggregate and vice versa. In addition, the correlation analysis results showed that investments in innovations affect economic growth at the country and the regional level. Conclusions: based on the results of the assessment of educational and innovative potential, policy recommendations and further research in this area were proposed.

• Korea Trade Review
• /
• v.44 no.3
• /
• pp.15-24
• /
• 2019

The study conducted an empirical analysis of the impact of FDI on economic growth in four Asian countries: China, India, Vietnam and Korea. With panel data for the 1990-2017 period, the research model was developed for foreign direct investment (FDI), export amount (EX), government expenditure (G), exchange rate (EXR), and labourable population (L). The panel analysis results show that the increase in FDI, exports, government expenditure, labourable population significantly increased economic growth. The comparison analysis for each country revealed that FDI, exports and government expenditure significantly affect economic growth in China, that exports and government expenditure significantly affect economic growth in Korea, that FDI significantly affected economic growth in Vietnam, and that the increase in the workforce contributed to economic development in India. This paper characterized the different factors of economic growth in the four Asian countries. These results suggest that setting economic priorities to suit the specific economic conditions of each country is a shortcut to more efficient economic growth.

• Journal of the Korean Society for Precision Engineering
• /
• v.11 no.1
• /
• pp.192-200
• /
• 1994

The methodology of a simple probabilistic fatigue crack under random loading is proposed. Using the crack closure concept, the crack opening stress is assumed to be constant during random loading. The loading history was analyzed to determine the probability density functions, probability distribution functions and other related parameters for the probabilistic fatigue crack growth analysis. Fatigue crack growth using the exisiting available data was predicted by the proposed probabilistic analysis and compared with experimental data.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.15 no.4
• /
• pp.197-212
• /
• 2019

The purpose of this study is to identify the maturity stages of venture firms through classification analysis, which is widely used as a big data technique. Venture companies should develop a competitive advantage in the market. And the maturity stage of a company can be classified into five stages. I will analyze a difference in the growth stage of venture firms between the survey response and the statistical classification methods. The firm growth level distinguished five stages and was divided into the period of start-up and declines. A classification method of big data uses popularly k-mean cluster analysis, hierarchical cluster analysis, artificial neural network, and decision tree analysis. I used variables that asset increase, capital increase, sales increase, operating profit increase, R&D investment increase, operation period and retirement number. The research results, each big data analysis technique showed a large difference of samples sized in the group. In particular, the decision tree and neural networks' methods were classified as three groups rather than five groups. The groups size of all classification analysis was all different by the big data analysis methods. Furthermore, according to the variables' selection and the sample size may be dissimilar results. Also, each classed group showed a number of competitive differences. The research implication is that an analysts need to interpret statistics through management theory in order to interpret classification of big data results correctly. In addition, the choice of classification analysis should be determined by considering not only management theory but also practical experience. Finally, the growth of venture firms needs to be examined by time-series analysis and closely monitored by individual firms. And, future research will need to include significant variables of the company's maturity stages.

• Journal of the Korean Crystal Growth and Crystal Technology
• /
• v.9 no.4
• /
• pp.396-401
• /
• 1999

In the present paper, potassium lithium niobate(KLN) crystals have been grown along <001>, <100> and <110> directions by the top seeded solution growth (TSSG) method from Li-richer melts with different compositions. The morphologies of KLN crystals grown along different directions have been studied, and the well-developed facets have been unambiguously indexed using X-ray goniometer and stereographic projection analysis. The growth mechanism and defects such as cracks and inclusions were discussed on the basis of observations of facets on the crystal-solution interfaces. The crystal compositions were determined by a chemical analysis method. The structure and lattice constants of KLN crystals were determined and calculated on the basis of XRD data by using TREOR90 and PIRUM programs. The Curie temperature and optical absorption were determined by dielectric constant peak and spectrum measurements. respectively. The blue second harmonic generation (SHG) characteristics of KLN sample were also investigated using a pulsed dye laser.

• International Journal of Internet, Broadcasting and Communication
• /
• v.11 no.4
• /
• pp.65-70
• /
• 2019

We are looking the impact associated with globalization in favor of small and medium enterprises (SMEs) growth and how helped to reduce the obstacle facing SMEs growth. We used empirical analysis in order to examine the relationship underlying the globalization and its impact to SME growth. We employed primarily data from Tanzania SMEs. Further we seeks to explain the negative notion that has been created that globalization is not friendly to SME growths. We employed primary data from Tanzania SMEs. The partial least squares (PLS) was used for analysis. The conclusion has indicated that globalization has a relationship with SMEs growth and has contributed to the reduction of obstacles that inhibit SMEs growth. However study confirmed controversial result on part of availability of managers and manpower with global perspectives to influence SMEs growth. The test accepted that globalization has influenced availability of managers with global perspectives but reject the availability of these managers influences the SMEs growth The results give a clear outlook to help policy maker in policy review process, formulate base for extensive study on issues for manager perspectives and draw intervention.