• Journal of Information Technology Applications and Management
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• v.12 no.1
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• pp.191-211
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• 2005

This study investigates the decision criteria used in the context of IT investment decision making and empirically analyzes the impact of IT project size and types on the importance of decision criteria. 5 criteria which have been extracted from the previous studies and industry practices are budget, financial benefits. strategic value. risk, and the degree of proposer's eagerness. Data of 120 IT project proposals have been collected from 5 companies including bank, insurance. and stock trading company. As results of ANOVA test. 7 out of 10 hypothesis have been accepted statistically. That is. the bigger the project size. the higher the evaluation weight of project budget and risk criteria and the lower the weight of proposer's eagerness. And in case of the infrastructure investment type. the emphasis is placed more on strategic value and risk criteria and less on financial benefit and proposer's eagerness. These findings provide insights for both IT practitioners and researchers.

• The Journal of Fisheries Business Administration
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• v.34 no.1
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• pp.31-44
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• 2003

The purpose of this study is to investigate empirically interaction among the financing decision, investment decision, and profitability by using 41 fisheries corporations in Korea, and to suggest implications of the empirical results for government's financial policy for fisheries corporations. Sample period is 19 years from 1982 till 2000. This analysis method employs the two stage least squares(2SLS) estimation method. From the results of regression analysis by 2SLS estimation method, the adjusted $R^2$ values were high and the overall F values indicated significant. The empirical results of this study are as follows; (1) determinant factors of capital structure model for fisheries are profitability, firm-size, fisheries investment of total asset, and business risk. As pecking order theory explains, the higher is profitability the lower is debt ratio. The larger firm-size, the higher is debt ratio. The higher is fisheries investment of total asset and business risk, the higher is debt ratio. (2) determinant factors of investment model for fisheries are the change of sales, business risk, and debt ratio. These factors have positive relation to fisheries investment of total asset (3) determinant factors of profitability model for fisheries are fisheries investment of total asset and debt ratio. These factors have negative relation to profitability. On the basis of analysis results, on the government's financial policy for fisheries corporations, I suggests that with interest rate reduction, the government should lend more funds to solve the crisis in the financial structure of the fisheries firms

• Journal of Korea Trade
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• v.27 no.3
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• pp.161-178
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• 2023

Purpose - purpose of this paper is to analyze the effects of the investment facilitation levels of 11 RCEP countries (excluding Myanmar, Brunei, and Laos due to lack of data) on China's outward foreign direct investments(OFDI) using balanced panel data from 2010 to 2019. Design/methodology - First, four investment facilitation measurement indicators (regulatory environment, infrastructure, financial market, ease of doing business) were selected,investment facilitation scores of the 11 countries were obtained using the principal component analysis, an investment gravity model was established with nine explanatory variables (investment facilitation level, market size, population, geographic distance, degree of opening, tax level, natural resources, whether the country is an APEC member or not, and whether a valid bilateral investment treaty with China has been concluded) were used to establish an investment gravity model, and regression analyses were conducted with OLS and system GMM. Findings - The results of the regression analyses showed that investment facilitation levels had the greatest effect on China's OFDI, all four first-level indicators had positive effects on China's OFDI, and among them, the institutional environment had the greatest effect. In addition, it was shown that explanatory variables such as market size, population, geographical distance, degree of openness, natural resources, and whether or not a valid bilateral investment treaty has been concluded would have positive effects on China's OFDI, while tax levels and APEC membership would impede China's OFDI to some extent. Originality/value - Since the Regional Comprehensive Economic Partnership (RCEPT) came into effect not long ago, there are not so many studies on the effects of investment facilitation levels of RCEP member states on China's OFDI, and the investment facilitation measurement index constructed in this paper is relatively systematic and scientific because it includes all the contents of investment facilitation related to the life cycle of company's foreign direct investments.

• Korean small business review
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• v.43 no.1
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• pp.187-219
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• 2021

Startup accelerators, a new type of investment entity, have emerged as a way to solve the difficulties of early startups and existing investment methods with high risk. With the visible performances of these startup accelerators on the success of startups, medium and large accelerator companies have emerged, along with the increasing size of seed money they invest in. In addition, differences between small and medium&large accelerator companies are emerging. Therefore, startups need informations on what factors to prepare for attracting startup accelerators' investment. Accelerators also need determinant criteria to select startups as the amount of investment grows. However, the study on this subject is not currently being conducted. Therefore, we conducted the study through dividing the average amount of seed money into small and medium & large-sized investment groups and examined the differences in major investment determinants, investment purposes, and major accelerating programs. As the results of this study, small investment groups could be subdivided into 'consulting-oriented accelerators' and medium- and large-sized investment groups into 'investment-oriented accelerators'. In addition, major services and investment purposes and investment decision criteria vary depending on the size of the investment. I think these findings will be good standards for accelerator companies, startups in need of their help, and follow-up researchers.

• Management Science and Financial Engineering
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• v.21 no.1
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• pp.25-29
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• 2015

Recently much research efforts have focused on how to manage carbon emissions in logistics operations. This paper formulates a model to determine an optimal shipment size with aims to minimize the total cost consisting not only of inventory and transportation costs but also cost for carbon emissions. Unlike the literature assuming carbon emission factors as a given condition, we consider the emission factors as decision variables. It is allowed to make an investment in improving carbon emission factors. The optimal investment decision is shown to be of a threshold type with respect to unit investment costs. Moreover, the findings in this work provide insights on the various elements of the investment decision and their impacts.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.29-37
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• 2020

This research seeks to determine the influence of investment opportunity set (IOS); profitability (Return on Assets - ROA), liquidity, business risk and firm size on debt policy. We used 42 manufacturing companies registered on the Indonesian Stock Exchange (Bursa Efek Indonesia) as object research. We used purposive sampling method to determined samples, consider the period observation from 2012 to 2016, and produce 168 units analysis. Data analysis uses the multiple regressions with the SPSS tools. The results of the study found that companies' debt policies in Indonesia are negatively affected by the liquidity. Investment opportunity set (IOS) has negative effect on debt policy. Meanwhile, ROA, Return on Invested Capital (ROIC), and firm size of a company has no impact on debt policy. These findings indicate that Indonesian manufacture companies do not see the high investment opportunity set and profitability as a policy basis for increasing debt. Moreover, the high profitability also does not cause companies to increase their debt ratio. Our study indicates that Indonesian manufacture companies use internal funds to fund their investment. This finding is a concern for creditors, as they can now see the ability of the companies, and especially their performance, in determining their credit policies.

• Electronics and Telecommunications Trends
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• v.37 no.6
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• pp.1-10
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• 2022

Artificial intelligence (AI) has rapidly diffused across industries and societies as nations' essential strategic technology. In innovative technology, such as AI, a startup leads to technological innovation and significantly impacts the expansion of relevant industries. Thus, this study examined the trend of AI startup venture capital (VC) investments globally, focusing on ① noteworthy VC investment statuses (the number and size of the investment, company establishment, and corporate collection), ② the characteristics of each key nation's investments, and ③ the characteristics of each submarket's investments. Among the 11 countries, the results showed that Korea ranked near the bottom for absolute quantitative measures, including the number and size of investments, company establishment, and corporate collection. However, Korea has built a foundation of catching up with what AI-leading countries have established, considering Korea's high growth rate in the number and size of investments and a recent mega-round. This study has practical implications in that it determined the AI startup VC investment status of Korea's rival countries, not only G2 (US and China). The results can be used in policy-making. Furthermore, identifying the AI industry's submarkets and analyzing each market's VC investment status could be used to establish strategies for the AI industry and R&D.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.4
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• pp.635-641
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• 2021

This paper aims to find out the main factors that are important in determining the size of investment in the Jordanian productive sectors. For this purpose, the study used panel data for four Jordanian productive sectors over the period 2000-2017. Also, fixed-effects modeling was carried out to identify the relationship between investment and its potential determinants. Empirical investigations of the four productive sectors reveal the following results: The real value of sector's production and the real value of credit facilities have a positive and significant impact on investment, while the real interest rate has a negative effect on investment in the Jordanian productive sectors. Also, at the sector level, agriculture was more responsive to changes in the real value of credit facilities, while other sectors were more responsive to changes in the real value of sector's production. According to these results, it seems that some policy actions should be taken to enhance the size and the role of investment in the economy. For example, policymakers should adopt a mixed policy and expand the provision of credit facilities, especially to the agricultural sector, to enhance agricultural activity in a manner that ensures the improvement of infrastructure and land reclamation.

• Asian Journal of Business Environment
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• v.10 no.4
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• pp.5-13
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• 2020

Purpose: The purpose of this paper is to empirically investigate the relationship between government subsidies and research and development (R&D) investment of animal husbandry companies in China. The moderating effects of firm size, debt ratio, and firm profitability on this relationship are also examined. Research design, data and methodology: The analysis is based on 14 animal husbandry companies listed on the Shanghai and Shenzhen stock exchanges over the period of 2012-2016. Data are obtained from the China Stock Market & Accounting Research (CSMAR) database and the RESSET database, and multiple regression analysis is utilized with the aid of Stata. Results: The empirical results show that government subsidies can promote R&D investment of animal husbandry companies in China. In addition, firm size, debt ratio, and firm profitability have positive moderating effects on the relationship between government subsidies and R&D investment. Conclusions: Based on the results, the paper concludes that government subsidies play an important role in the process of R&D of China's animal husbandry companies. This paper recommends that managers of animal husbandry companies should enhance the utilization efficiency of government subsidies and put great emphasis on R&D investment. The policymakers should implement more incentives to encourage animal husbandry companies to invest more in R&D.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.4
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• pp.1654-1662
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• 2011

This paper investigates how does cash holdings have effect on investment-cash flow sensitivity in korea firms over the period 1981-2009. According to $\"{O}$.Arslan et al.(2006), I expect that financially constrained firms have more cash holdings. and financially constrained cash-rich firms are likely to have less investment-cash flow sensitivity especially in the financial crisis period. Using financial constraint classification variables(firm size, dividend, cash holdings), we divide whole sample firms into financially constrained firms and financially unconstrained firms, and then I compare investment-cash flow sensitivity in pre-financial crisis(1981-1996), financial crisis(1997-1998) and after-financial crisis(1999-2009) period. This paper's findings are as follows: First, under no financial constraint classification conditions, cash-poor firms exhibit greater investment-cash flow sensitivity than cash-rich firms do during 1981-2009 period except financial crisis period. These findings support the hypothesis that firms have more cash holdings less investment-cash flow sensitivity except in financial crisis period. In financial crisis period, cash holdings have no effect on investment-cash flow sensitivity. Second, this paper findings are somewhat different as $\"{O}$.Arslan et al.(2006)'s. Under the financial constraint classification conditions, financially unconstrained firms have more investment-cash flow sensitivity rather than constrained firms have. The reason is that both dividend and firm size are not a complete classification criteria variables. And there exists other possible determinants of investment-cash flow sensitivity. Finally, this paper find that there are common determinants of corporate cash holdings in all periods. This paper suggests that cash flow and market to book ratio are positive determinants of corporate cash holdings but short-term debt, investment and firm size are negative determinants of corporate cash holdings.