• Asia-Pacific Journal of Business
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• v.11 no.3
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• pp.1-20
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• 2020

Purpose - This paper shows an unexplored area related to involuntary delisting. Specifically, this research investigates the effect of target firm information asymmetry on the likelihood that the acquirer or newly merged firm will be forcibly delisted post-merger. Design/methodology/approach - The research uses a sample gathered on local US mergers and acquisitions from the Thomson Reuters Securities Data Company (SDC) Platinum Mergers and Acquisitions database. It applies the logistic regression with industry and year effects and corrects the error term using clustering at the industry level. The research also matches the forced delisted firms to control firms based on industry, acquisition completion year, and firm size and then employs a matched sample analysis. Findings - Findings show that M&As between firms where the target firm is opaque and burdened with high information asymmetry issues are likely to be paid for using majority stock and that M&As involving such opaque targets also have a higher likelihood of getting delisted post-merger. Research implications or Originality - Our results are relevant given the very nature of M&As which involve two players: the acquirer and target who both may have different incentives. Acquirers especially have the tendency to suffer losses and even get delisted if they over-pay for or get merged to a poor target which conceals its poor performance evidenced by higher accruals quality.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.4
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• pp.197-212
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• 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 Information Technology Services
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• v.3 no.1
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• pp.5-20
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• 2004

It has been known generally that investment in the extending ability to use the IT applications have further enhanced the productivity of effects of IT on firms by reducing costs, increasing returns, and increasing the speed of operations, etc. Notwithstanding this fact, it was very complex and difficult to evaluate concretely the effect of informatization of firm. SMEs(Small- & Medium-sized Enterprises) in particular. In this study, I point out the weakness of SMEs and analyze the effects of informatization through the count data model. For this analysis, I separate the effects into two part, such as organizational effect and personal effect. It comes to conclusion that organizational effect is larger than personal effect and the ability to practical use of IT systems is most efficient item related with informatization level. Since it will be important to cencentrate on raising this ability for heightening the competitiveness of SMEs.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.4
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• pp.37-43
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• 2019

The research aims to study the relationship between export performance and stock return of Vietnamese fishery companies. To conduct this study, quarterly data was collected for period from 2010-2018 of 13 fishery companies listing in Ho Chi Minh Stock Exchange (HOSE) and Ha Noi Stock Exchange (HNX). The export performance was measured by export intensity, export growth and export market coverage. In addition, interest rate, exchange rate, GDP, firm size, profitability, and financial leverage were considered as the control variables in the research model. Panel data analysis with Generalized Least Squares model was employed to estimate the predictive regression. The findings indicated that export intensity and export growth have a significant and positive relationship with stock returns. However, export market coverage has not a significant relationship with stock return at the 0.05 level. Profitability, financial leverage, and exchange rate have a positive relationship, while interest rate and GDP have no relation to stock return at the 0.05 significance level. The findings imply that investors should consider the export intensity instead of export growth and export market coverage as selecting stock of fishery exports firms to invest; managers should increase export intensity to increase company's stock price or firm market value.

• Journal of Korea Entertainment Industry Association
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• v.15 no.6
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• pp.55-70
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• 2021

This study investigates the following important financial questions using entertainment enterprises: 1) how does cash reserve affect a firm's financial value? 2) what factors influence the level of cash retention of a firm? For empirical tests, we use accounting and financial data of entertainment companies listed in the KOSPI and KOSDAQ markets for a long-term time period covering from 2000 to 2018. The main findings of this paper are as follows: First, entertainment companies maintain higher level of cash holdings compared to non-entertainment companies. Second, the cash holdings of entertainment enterprises have positive influence on firms' financial value. Third, among various firm characteristics known for affecting the cash holdings level, leverage and profitability exhibit strong relationships in entertainment enterprises. Entertainment firms with lower leverage and higher profitability tend to reserve more cash inside them. These findings suggest that entertainment companies are highly valued by stock market participants as having prospective opportunities, thus, firms with sufficient cash holdings tend to have higher firm value. In addition, these findings imply that cash in entertainment enterprises functions as a substitute for debts and the cash holdings are less likely driven by agency problems.

• Korean Journal of Construction Engineering and Management
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• v.17 no.3
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• pp.90-97
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• 2016

Since Korean construction firms have steadily advanced into the international market, small and medium construction companies (SMCCs) have also advanced in such market. SMCCs's recent trend have clearly shown the changes of contract types from single subcontractor projects to multiple general contracting projects. However, among those multiple projects performed by SMCCs, 1 out of 3 projects were deficit projects that impact the overall pe rformance of the firm. To increase such performance, risk management for in international construction must be managed at the enterprise level for SMCCs. This research aims to create a multiple project management model for SMCCS that employs the concept of acceptable risk to assess the limit risk level for corporation to acceptable. Using the accumulated data from previous survey and International Construction Association of Korea (ICAK), integrated risk of each firm and their profitability of each project are analyzed. Through the analysis, each firm's acceptable risk level is derived. Through the two research steps, acceptable risk algorithm was developed based on corporate integrated risk and profit correlation. To prove the acceptable algorithm relevance, financial statement analysis of 3 corporation was derived that level of acceptable risk and financial statement were available. Through the approach, this research allows the firms to analyze the firm's capability and find projects that suits the firm's situation and capability.

• Journal of Korea Technology Innovation Society
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• v.9 no.1
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• pp.1-25
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• 2006

Technological innovation is being recognized as a core capability of competitive advantage for sustainable growth of a company. In this regard, lots of research activities have been conducted on technological innovation and performance at firm level. Ihis study empirically investigates those relationship with cross-sectional and time-series data according to firm-specific characteristics along industry. Patent intensity, R&D intensity, and intangible asset intensity smoothing by firm size are used as proxy measures for explanation of performance with net income per employee. As a result with 162 high-tech firms for 11 years, it was found that high performances were positively related to patent and R&D intensity. Also, firms classified into 8 categories based on firm-specific technological innovation characteristics show difference upon performances. To sum up, firms that have high patent and R&D intensity demonstrate high performance compared to other firms.

• The Korean Journal of Financial Management
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• v.24 no.2
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• pp.81-111
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• 2007

The agency relationship between managers and shareholders has the potential to influence decision-making in the firm which in turn potentially impacts on firm characteristics such as value and leverage. Using an agency framework, we examine the relation between ownership structure and capital structure during post-IMF period. We used the balanced panel data for 378 korean listed companies during the 1999-2005. The panel data sets consist of time-series observation on each of 378 cross-sectional units. The results indicate a non-linear U-shaped relation between the level of managerial share ownership and leverage with the relation reaching a minimum at 58.48 per cent of management share ownership. As managerial share ownership increase from a low level, managers have incentive to reduce the debt level for decreasing the financial risk, resulting in a lower lever of debt. However, when corporate managers hold a significant proportion of a firm's shares, managers have incentive to increase the debt level for leverage effects, resulting in a higher lever of debt.

• Journal of Distribution Science
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• v.16 no.10
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• pp.77-82
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• 2018

Purpose - This paper examines the relationship between corporate social responsibility and financial reporting quality. Corporate social responsibility is a way for firms to take responsibility for the social and environmental impacts of their business operations. Corporate social responsibility is a broad concept that can take various forms depending on the firm and industry. Through corporate social responsibility programs, firms can benefit society. At the same time, firms improve their reputations by increasing engagement in corporate social responsibility activities. However, corporate social responsibility activities are not directly related to profitability, especially for distribution firms. Research design, data, and methodology - 229 distribution & service firm-years between 2011 and 2016 are used for the main analysis. In Korea, Korean Economic Justice Institute evaluates the ethical performance of Korean firms, and the institute annually discloses the scores of top firms. This study uses the KEJI Index scores to measure firm-level corporate social responsibility activities. Discretionary accruals are used as a proxy for financial reporting quality. Discretionary accruals can be used opportunistically, and thus distort the information in earnings. We extract financial data from the KIS Value database. Results - We find that distribution & service firms' engagement in corporate social responsibilities is positively related to their financial reporting quality. First, there is a negative correlation between implementation of corporate social responsibility activities and discretionary accruals. In addition, we find that the coefficient of CSR is significantly negative, supporting our prediction. The result is significant at the 1% level. Conclusions - We examine the relationship between corporate social responsibility activities of distribution firms and their financial reporting quality while most prior studies examine the engagement in corporate social responsibility activities of manufacturing firms. The results of this study show that distribution & service firms engaging in corporate social responsibility activities are likely to maintain high-quality financial reporting.

• Journal of Korea Technology Innovation Society
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• v.21 no.3
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• pp.1077-1100
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• 2018

The present study analyzed the effect of firms' external research and development (R&D) on corporate productivity, while investigating the moderating effect of firm size on the external R&D-productivity nexus. In the empirical analysis, we estimated South Korean manufacturing firms' total factor productivity (TFP) using the firm level data drawn from the Survey of Business Activities (Korea National Statistical Office) for the years 2006-2015. Thereafter, focusing on the role of external R&D and its interaction with the firm size in determining firms' TFP, the productivity function was estimated as well. To this end, we used ordinary least squares (OLS) and quantile regression to highlight the heterogeneous impacts of external R&D by companies' productivity level. Empirical results confirmed that firms' external R&D significantly enhanced corporate productivity in all manufacturing industries, from high-tech to low-tech. The moderating effect of firm size in determining the productivity effect of external R&D was not as prominent as in the case for internal R&D, which exhibited some degree of the size premium in the productivity-enhancing effect. These results suggest that regardless of the firm size, external R&D can be an important channel for corporate productivity improvement, and can be a particularly effective strategy for SMEs with relatively limited internal R&D capacities.