• Journal of Korea Trade
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• v.24 no.4
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• pp.71-94
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• 2020

Purpose - Multi-National Enterprises (MNEs) tend to face a high level of institutional pressures in regions with high institutional development level. When complying with institutional pressures, firms try to make decisions to maximize profit while minimizing the risks to them. The purpose of this study is to investigate the influence of the institutional development level on institutional compliance timing by MNEs and the relationship between compliance speed and corporate performance. Design/methodology - The research focuses on three main variables, which are the institutional development level (as a determination of the institutional pressure level), the firm's compliance speed (as a determination of the compliance timing), and the firm's financial performance (as a determination of the corporate performance). We collected 19,869 firm-level data from CSMAR (the China Stock Market and Accounting Research), 6,922 CSR data from RKS (the Rankins CSR Ratings), and province and city-level data from the NERIM (National Economic Research Institute Index of Marketization) and NBSC (National Bureau of Statistics of China). The firms in China were chosen for analysis, and the analysis period was from 2008 to 2017. Random Effects GLS Regression was used to test the relationships among the variables. Findings - This study examined the effect of the institutional development level on the firm's compliance speed, together with the effect of compliance speed on the firm's financial performance of the MNEs in China. We found that the institutional development level positively influenced firms' financial performances, which means the firms' financial performances are better in the region with a high institutional development level. The compliance speed of institutional practice by firms was faster in the higher level of institutional development. However, the firm's delayed compliance led to better financial performance. Originality/value - Studies in the resource dependence view of Institutional Theory often fall short in understanding the theory by overlooking the firm's active decision-making. Thus, the findings do not present a full scope of corporate performance in this regard. This study not only found a way to test the role of a firm's independent decision-making (i.e., compliance timing) when facing the institutional pressure but also prove the significant role of the compliance timing on corporate performance. Also, we were able to test the effect of institutional development level, controlling location-specific variables because we used CSR performance data for MNEs operating in China. Lastly, by doing the above, the findings of this study suggest practical implications to the industry practitioners in MNEs.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.6
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• pp.147-157
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• 2023

This paper investigates the financial factors affecting angel investors' investment decisions for 818 firms from 2009 to 2018 in the Korean venture investment market. We construct a quasi-experimental design using propensity scoring matching and compare the investment determinants between investment firms and matching firms. The main empirical findings are as follows. First, we find that angel investors are more likely to choose firms based on a firm's growth such as profit and assets rather than profitability or financial stability. In addition, we identify that they prefer the firm not only higher intangible assets but also higher R&D expenditures. Second, we find that angel investors consider both growth and activity ratios in the firms for over three years and have entered the mid-stage of startups. Overall, we confirm that the investment decision of angel investors mainly focuses on the venture startups' growth trend or future growth potential rather than the realized profitability or financial stability. We also infer that the possibility of performance creation is an important investment factor along with growth for the mid-stage startup.

• Journal of Intelligence and Information Systems
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• v.21 no.3
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• pp.79-99
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• 2015

The prediction of bankruptcy has been extensively studied in the accounting and finance field. It can have an important impact on lending decisions and the profitability of financial institutions in terms of risk management. Many researchers have focused on constructing a more robust bankruptcy prediction model. Early studies primarily used statistical techniques such as multiple discriminant analysis (MDA) and logit analysis for bankruptcy prediction. However, many studies have demonstrated that artificial intelligence (AI) approaches, such as artificial neural networks (ANN), decision trees, case-based reasoning (CBR), and support vector machine (SVM), have been outperforming statistical techniques since 1990s for business classification problems because statistical methods have some rigid assumptions in their application. In previous studies on corporate bankruptcy, many researchers have focused on developing a bankruptcy prediction model using financial ratios. However, there are few studies that suggest the specific types of bankruptcy. Previous bankruptcy prediction models have generally been interested in predicting whether or not firms will become bankrupt. Most of the studies on bankruptcy types have focused on reviewing the previous literature or performing a case study. Thus, this study develops a model using data mining techniques for predicting the specific types of bankruptcy as well as the occurrence of bankruptcy in Korean small- and medium-sized construction firms in terms of profitability, stability, and activity index. Thus, firms will be able to prevent it from occurring in advance. We propose a hybrid approach using two artificial neural networks (ANNs) for the prediction of bankruptcy types. The first is a back-propagation neural network (BPN) model using supervised learning for bankruptcy prediction and the second is a self-organizing map (SOM) model using unsupervised learning to classify bankruptcy data into several types. Based on the constructed model, we predict the bankruptcy of companies by applying the BPN model to a validation set that was not utilized in the development of the model. This allows for identifying the specific types of bankruptcy by using bankruptcy data predicted by the BPN model. We calculated the average of selected input variables through statistical test for each cluster to interpret characteristics of the derived clusters in the SOM model. Each cluster represents bankruptcy type classified through data of bankruptcy firms, and input variables indicate financial ratios in interpreting the meaning of each cluster. The experimental result shows that each of five bankruptcy types has different characteristics according to financial ratios. Type 1 (severe bankruptcy) has inferior financial statements except for EBITDA (earnings before interest, taxes, depreciation, and amortization) to sales based on the clustering results. Type 2 (lack of stability) has a low quick ratio, low stockholder's equity to total assets, and high total borrowings to total assets. Type 3 (lack of activity) has a slightly low total asset turnover and fixed asset turnover. Type 4 (lack of profitability) has low retained earnings to total assets and EBITDA to sales which represent the indices of profitability. Type 5 (recoverable bankruptcy) includes firms that have a relatively good financial condition as compared to other bankruptcy types even though they are bankrupt. Based on the findings, researchers and practitioners engaged in the credit evaluation field can obtain more useful information about the types of corporate bankruptcy. In this paper, we utilized the financial ratios of firms to classify bankruptcy types. It is important to select the input variables that correctly predict bankruptcy and meaningfully classify the type of bankruptcy. In a further study, we will include non-financial factors such as size, industry, and age of the firms. Thus, we can obtain realistic clustering results for bankruptcy types by combining qualitative factors and reflecting the domain knowledge of experts.

• The Korean Journal of Financial Management
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• v.25 no.2
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• pp.137-164
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• 2008

This paper examines the operating performance of firms that for a four-year period, held more than 15% of their assets in cash and cash equivalents. During next four years, operating performance of firms maintaining high cash persistently is greater than the performance of firms matched by size and industry or firms adopting transitory high cash policy. Furthermore, the effect of persistent cash holdings on operating performance depends on the ownership structure and the level of information asymmetry. Foreign investors deteriorate the operating performance of high cash firms, suggesting that potential M&A and the pressure of excessive dividend reduce the usefulness of cash. The level of information asymmetry enhances the operating performance for the firms adopting persistent high cash policy. It suggests that cash holdings reduce the costly external financing and underinvestment problem for firms with high information asymmetry.

• Journal of Digital Convergence
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• v.12 no.11
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• pp.215-223
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• 2014

To provide evidence of bank's management consulting effect on client firms' performance and contribution to the bank, this study adopts Matching Sample Design and OLS regression using financial and consulting data from A Bank, which allowed us for empirically testing bank's management consulting effect on client firms. Specifically, We examine difference between ante-post performance of consulting client firms and difference between performance of consulting client firms and the other client firms. Empirical results show that management consulting by a Bank can increase interdependency, while It does not cause significant improvement of growth, activity, and profitability. This result provides further understanding of effect of management consulting by a bank on consulting client firms and some implication which banks should consider for management consulting.

• Journal of Agricultural Extension & Community Development
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• v.12 no.2
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• pp.163-172
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• 2005

Since the financial turmoil in 1997, both the national and local governments have initiated a variety of policy measures to support small and medium-size firms to strengthen the national and regional economies. It is no doubt that such policies contributed to establish better business environment for them. However, many analytical reports and academic studies in recent years diagnose that the economy conditions for the small and medium-size firms are in crisis because many policy measures are made based on the supply-side approach rather than demand-side consideration. In order for the governments' efforts to be more realistic and effective, it is necessary to see what the policy target groups(that is. the small and medium-size entrepreneurs) want. This study surveyed entrepreneurs in Hwaseung city, Kyonggi-do, which has more than three-thousands of small and medium-size firms. It finds that in spite of locational advantages and a variety of policy supports from the provincial and local governments, they need more financial supports, more effective mass transportation system for commuting workers. less bureaucratic barriers, and so on.

• Journal of Information Technology Services
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• v.15 no.3
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• pp.51-69
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• 2016

Recently, many Korean firms have suffered financial losses and damaged firm's trust due to information security incidents. Hence, a lot of firms have realized the importance of the information security. In particular, the demand for information security certification has increased. This study examined the effect of information security certification using the event study methodology. Our research shows that the announcement of the information security certification significantly influences the market value of the corresponding firm. The certified firms rise, on average, o.4993% (-2 day), 0.5462% (+1 day) of their market value. Further, we found that the financial sector in our data showed a 1.4% higher abnormal returns than the nonfinancial sector. On the other hand, whether a firm first acquired the information security certification is not significant. Our paper presents that it is possible to analyze the effect of the information security certification using the event study. We are expected to be used in making a decision for the investment of information security. Also, our results indicate that the firm which have acquired the information security certification should actively announce that fact.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.9-18
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• 2019

The purpose of this study is to investigate the relation between conservative loan loss accounting practice of banks, defined as accounting behavior that increases loan loss allowances against expected credit losses, and bank lending. Furthermore, we specify the macroeconomic conditions reflecting debtors' borrowing environments and analyze how these conditions affect the relation between conservative loan loss allowances and bank lending. Although existing literature reports that accounting conservatism has a direct effect on non-financial firms' investment behavior, there is little evidence about an effect of conservatism on banks' lending behavior. By exploiting data showing the links between individual Japanese firms and their individual lenders to control both loan demand and supply, we estimate OLS regressions to test the relationships among conservative loan loss allowance, bank lending, and macroeconomic conditions using a unique dataset containing bank-firm-year observations between 2001 and 2013. We find banks that have conservative loan loss allowances tend to provide fewer loans to firms with financing needs when macroeconomic conditions are good and these conservative banks are likely to provide more loans to firms when macroeconomic conditions are bad. Our findings suggest that reflecting expected credit loss into loan loss allowances can mitigate the procyclical behavior of banks.

• The Journal of Asian Finance, Economics and Business
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• v.4 no.3
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• pp.35-43
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• 2017

This paper explores the impact of corporate control, measured by ownership structure, on top-executives' compensation in Japan. According to agency theory, the pay-performance link is expected to be affected by the firm's ownership structure. Using a sample of 4,411 firm-year observations (401 firms for the 11-years period from 2001 to 2011) for Japanese non-financial firms publicly traded on the first section and second section of the Tokyo Stock Exchange (TSE), this study demonstrates that institutional ownership (both financial and corporate) is negatively related to the level of executives' compensation. Such finding is in line with efficient monitoring hypothesis which claims that the presence of institutional shareholders provides direct monitoring over managers, limits managerial self-dealing and curves the increase in top-executives pay. On the other hand, the results also show that managerial ownership is positively related to their compensation which supports managerial power theory hypothesis, i.e. management-controlled firms are more likely to extract more compensation from the business than other firms. Overall, this study confirms that corporate control has significant impact on cash compensation paid to Japanese top-executives after controlling the conventional pay-performance relationship.

• STI Policy Review
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• v.4 no.1
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• pp.74-93
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• 2013

Although open innovation (OI) has been an important research theme for over a decade, its theoretical framework has been relatively under-researched. As OI involves a wide range of innovation activities, a firm's capacities in the use of the various firm resources play a critical role in OI implementation. However, it is unclear how they affect firms' performances for little is known of OI capacities. Based on a theoretical framework derived from the literature, this study looks into the relationships between six OI capacities (inventive, absorptive, transformative, connective, innovative, and desorptive) and financial performance using the Korean Innovation Survey (KIS) 2008 data. The research model was tested using structural equation modelling (SEM) while potential differences in capacities between different firm groups were also investigated. The results indicate that 1) OI capacities are significantly associated with firms' financial performance; 2) capacities are highly correlated with one another; and 3) some capacities are differently configured between different types of firms. Findings suggest that policy makers should pay more attention to helping firms enhance OI capacities and attempt to develop relevant policies in order to complement inadequate capacities.