• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.49-59
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• 2021

This study empirically analyzes the effect of firm overinvestment propensity on the value relevance of capital investment. In order to verify this point, this study attempts to analyze the value relevance of overinvestment firms' capital investments. The analysis was performed according to the model of Biddle et al. (2009) and McNichols and Stubben (2008) on overinvestment propensity for analysis, and the results are as follows. First, in terms of overinvestment, corporate capital investment shows negative value relevance, so the excessive investments above reasonable levels have reduced firm's value. In contrast, the value relevance for capital investment showed a positive value for firms whose managerial propensity changed, that is, from under-investment in the previous year, it shifted to overinvestment in the current year. Second, as a result of analyzing the value relevance of the investment increase according to the investment propensity, the overinvestment firms showed negative values and the underinvested firms showed positive values; thus, the value relevance of the increase in investment was opposite to the investment propensity of the firm. These findings confirm that the stock market differentially evaluates investment efficiency according to investment propensity, continuity, and investment alterations, and reflects it appropriately in the firm's value.

• Agribusiness and Information Management
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• v.8 no.2
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• pp.9-15
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• 2016

In several industries, including the agriculture industry, information and communication technology (ICT) expenditure has been gradually increasing. This study explores the ICT investment of Korean agricultural corporations, and examines the effect of ICT investment on their profitability using an IT portfolio framework. As the organizational capabilities and environment in which ICT is used is critical in examining its impact, the IT-savvy level is used as a moderator. An increase in ICT investment size results in a significantly positive effect on profitability in organizations with higher IT-savvy levels, whereas there is no effect in organizations with lower IT-savvy levels. This study shows the necessity of understanding the structure of ICT investments in the agriculture industry, and suggests the importance of organizational capabilities and environment in making best use of ICT.

• Journal of Korean Society of Transportation
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• v.29 no.5
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• pp.19-32
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• 2011

There are many investment budget drafts in the filed of a road traffic safety. The traffic safety budget is spitted into following three major areas: 1) traffic safety facility (Engineering), 2) traffic enforcement (Enforcement), and 3) traffic safety education & public relation (Education). The three area are known as so-called 3E policy. This study investigates the effect of the investment in the 3E policy on the reduction of traffic accidents analyzing the data annually collected from the 15 local governments during 1992 to 2007. The analysis employing the traffic accidents as the dependent variable reveals that the effect of the investment is higher if same amount of investment is made on areas of the traffic safety education and public relation than the area of facility improvement. The similar conclusions are resulted from the separate investigation of traffic accidents data by 6 different types. All the results consistently indicate that the current traffic safety investment being primarily made on traffic safety facility needs to shift to the areas of traffic safety education and public relation budget.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.99-122
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• 2019

According to the recent IDC (International Data Corporation) report, as from 2025, the total volume of data is estimated to reach ten times higher than that of 2016, corresponding to 163 zettabytes. then the main body of generating information is moving more toward corporations than consumers. So-called "the wave of Big-data" is arriving, and the following aftermath affects entire industries and firms, respectively and collectively. Therefore, effective management of vast amounts of data is more important than ever in terms of the firm. However, there have been no previous studies that measure the effects of big data investment, even though there are number of previous studies that quantitatively the effects of IT investment. Therefore, we quantitatively analyze the Big-data investment effects, which assists firm's investment decision making. This study applied the Event Study Methodology, which is based on the efficient market hypothesis as the theoretical basis, to measure the effect of the big data investment of firms on the response of market investors. In addition, five sub-variables were set to analyze this effect in more depth: the contents are firm size classification, industry classification (finance and ICT), investment completion classification, and vendor existence classification. To measure the impact of Big data investment announcements, Data from 91 announcements from 2010 to 2017 were used as data, and the effect of investment was more empirically observed by observing changes in corporate value immediately after the disclosure. This study collected data on Big Data Investment related to Naver 's' News' category, the largest portal site in Korea. In addition, when selecting the target companies, we extracted the disclosures of listed companies in the KOSPI and KOSDAQ market. During the collection process, the search keywords were searched through the keywords 'Big data construction', 'Big data introduction', 'Big data investment', 'Big data order', and 'Big data development'. The results of the empirically proved analysis are as follows. First, we found that the market value of 91 publicly listed firms, who announced Big-data investment, increased by 0.92%. In particular, we can see that the market value of finance firms, non-ICT firms, small-cap firms are significantly increased. This result can be interpreted as the market investors perceive positively the big data investment of the enterprise, allowing market investors to better understand the company's big data investment. Second, statistical demonstration that the market value of financial firms and non - ICT firms increases after Big data investment announcement is proved statistically. Third, this study measured the effect of big data investment by dividing by company size and classified it into the top 30% and the bottom 30% of company size standard (market capitalization) without measuring the median value. To maximize the difference. The analysis showed that the investment effect of small sample companies was greater, and the difference between the two groups was also clear. Fourth, one of the most significant features of this study is that the Big Data Investment announcements are classified and structured according to vendor status. We have shown that the investment effect of a group with vendor involvement (with or without a vendor) is very large, indicating that market investors are very positive about the involvement of big data specialist vendors. Lastly but not least, it is also interesting that market investors are evaluating investment more positively at the time of the Big data Investment announcement, which is scheduled to be built rather than completed. Applying this to the industry, it would be effective for a company to make a disclosure when it decided to invest in big data in terms of increasing the market value. Our study has an academic implication, as prior research looked for the impact of Big-data investment has been nonexistent. This study also has a practical implication in that it can be a practical reference material for business decision makers considering big data investment.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.287-296
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• 2022

The purpose of this study is to verify the effect of government subsidies and R&D investment on the increase in profits of Chinese environmental protection companies. The research method for this was empirically analyzed using the Chinese CSMAR database for 161 Chinese environmental protection companies and using statistical data obtained from 805 samples. The analysis results are as follows. First, government subsidies had a positive effect on the increase in profits of Chinese environmental protection companies. Second, government subsidies had a positive effect on R&D investment by Chinese environmental protection companies. Third, R&D investment had a positive effect on the increase in profits of Chinese environmental protection companies. Fourth, R&D investment through government subsidies has a partial mediating effect on the effect on the increase in profits of Chinese environmental protection companies. In this study, based on the results of the study, a plan was proposed to promote the increase in profits of Chinese environmental protection companies by expanding government subsidies to Chinese environmental protection companies and focusing on R&D investment.

• Journal of Korean Society for Quality Management
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• v.20 no.2
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• pp.76-93
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• 1992

The purpose of this study, by surveying the status of firms, measurement-related investment and the defect rate, is to analyze the effect of measurement-related investment and to propose a scheme of efficient measurement-related investment which reduces the defect rate. For this project we obtain the data of the status of the measurement-related investment and the defect rate of 928 firms in Korean manufacturing industry by mailing survey. One of our results shows that the firms which have measurement standard laboratory, i.e, which invest in measurement-related area comparatively high, have the defect rate about 0.8% lower than those firms which don't have measurement standard laboratory. Also we find that the small-and-middle size firms have worse measurement-related facility than the large firms and the firms in the heavy-chemical industry have higher measurement-related investment effect than the firms in the light industry.

• Journal of Technology Innovation
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• v.31 no.2
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• pp.59-82
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• 2023

The purpose of this research is to conduct the empirical analysis of the short- and long-term causal relationship between public R&D investment, corporate R&D investment, and university R&D investment on economic growth in Korea. To this end, based on the time series data from 1976 to 2020, a causality test was conducted through the unit root test, cointegration test, and vector error correction model (VECM). As a result, it was found that there is a long-run equilibrium relationship between economic growth in Korea, public R&D investment, corporate R&D investment, and university R&D investment, in which a causal relationship exists in the long run. Also, while public R&D investment has a short-term effect on economic growth, corporate and university R&D investment does not have a short-term effect on economic growth. In addition, the results shows that there is a bidirectional causal relationship between economic growth and public R&D investment, corporate R&D investment and public R&D investment, and university R&D investment and public R&D investment in the short term. Through this research, it was empirically found that a highly mutual relationship exists between public R&D investment, corporate R&D investment, university R&D investment and economic growth. In order to increase the ripple effect of R&D investment on economic growth in the future, R&D investment between universities and corporations should be mutually promoted, and R&D investment by corporations should have a positive effect on public R&D investment so that public R&D investment can contribute to future economic growth.

• Journal of Industrial Convergence
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• v.19 no.5
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• pp.13-19
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• 2021

In this study, the relationship between R&D investment and firm value was approached from ESG's G(governance) perspective to verify the moderating effect of the corporate governance and ownership structure. To this end, a panel analysis was conducted on a total of 2,825 samples of 405 manufacturing companies listed on the KOSPI market during 2013~2020. The main analysis results are as follows. First of all, we found that R&D investment has a negative impact on firm value, at least in the short term, and that these relationships are moderated by corporate governance and ownership structure. When professional CEO with high level of expertise in business and management does lead R&D investment, the negative impact of R&D investment on firm value is mitigated compared to owner-manager. Also, the stronger the power of outside blockholders, the more transparent the management and disclosure of information, alleviating the information asymmetry between internal and external shareholders, which mitigates the negative impact of R&D investment on firm value. The findings suggest that the factors of ESG may not only have a direct impact on firm value, but also have a moderating effect on firm value.

• The Journal of the Korea Contents Association
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• v.22 no.8
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• pp.318-328
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• 2022

The purpose of this study is to analyze the impact of ownership concentration and R&D investment on earnings growth of listed companies in China. For this purpose, this study utilized 14,196 samples from 2,366 Chinese listed companies using the WIND database and conducted empirical analysis by Python. The results of the analysis are as follows. First, the data shows that ownership concentration has a positive (+) impact on revenue growth of Chinese listed firms. Second, ownership concentration has a postive(+) impact on R&D investment of Chinese listed firms. Third, the survey shows that R&D investment has a positive (+) impact on revenue growth of Chinese listed firms. Fourth, the impact of R&D investment on earnings growth of Chinese listed firms has time lag effect. Fifth, R&D investment has a partial mediating effect in ownership concentration and earnings growth of Chinese listed firms. Based on these analytical results, this study proposes measures to promote firms' earnings increase by optimizing ownership concentration and increasing R&D investment in Chinese listed firms.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.4
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• pp.157-169
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• 2021

Establishing an investment evaluation system for public ICT projects is ultimately to increase the success rate of public ICT projects in which government finances are invested and to revitalize the projects, thereby establishing a foundation for national economic growth and enhancing the competitiveness of the global ICT industry. This study tried to empirically verify the effect of public ICT project investment evaluation factors established according to the existing evaluation system on actual project success, and to suggest directions for future investment evaluation factors. Five evaluation factors such as public interest, economic feasibility, technology, policy and budget efficiency were derived through prior research, and the effect of these evaluation criteria on actual project success was verified through questionnaires from experts who directly participated in the actual project. In addition, it was confirmed whether the government's support system had a moderating effect between the investment evaluation factors and the project success of the ICT project. The reliability and validity of measurement tools, structural model analysis, and path analysis were empirically analyzed, and the significance of existing ICT investment evaluation factors was verified.