• Journal of the Korea Academia-Industrial cooperation Society
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• v.4 no.4
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• pp.422-427
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• 2003

The purpose of this study analyzes the effects of M＆A between conglomerate and non-conglomerate corporational with 57 samples of firms during the period from 1990 to 1997 right before IMF. financial crisis. These models employed to measure effects of M＆A in this paper are both market model and market adjusted return model using test of t-statistics. Results of this article show that negative excess returns are observed for non-conglomerate mergers and positive excess gains are exhibited for conglomerate mergers. This implies that conglomerate mergers are more effective than firm specialization in terms of merger effects.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.3
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• pp.191-209
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• 2023

Amid rapid changes in technological innovation due to the influence of the 4th Industrial Revolution and COVID-19, research related to absorption capacity and patent activities to promote technological innovation of Korean technology start-ups is important in this uncertain environment. This study aims to examine the effects on entrepreneurial performance and patent activities by reconstructing absorptive capacity, an organizational capability, for technology-based startups in fields such as BT and ICT with less than seven years of establishment, distinguishing between potential absorptive capacity and realized absorptive capacity. The study also seeks to develop a theoretical research model. To accomplish this, data was collected from managerial executives, including CEOs of 215 technology startups. The following hypotheses were tested: Firstly, potential absorptive capacity had a significant impact on patent activities, while realized absorptive capacity did not. Secondly, potential absorptive capacity had a significant impact on technological performance, while realized absorptive capacity did not. Thirdly, both potential and realized absorptive capacity had a significant impact on financial and non-financial performance. Fourthly, patent activities indirectly influenced potential absorptive capacity and technological performance, but did not affect realized absorptive capacity. Fifthly, patent activities indirectly influenced potential absorptive capacity and financial performance, but did not affect realized absorptive capacity. Lastly, patent activities indirectly influenced potential absorptive capacity and non-financial performance, but did not affect realized absorptive capacity. The practical significance of this study lies in providing useful guidelines for building the core capabilities of organizations through absorptive capacity and patent activities. Furthermore, it is expected that startups that have not recognized the formation process of absorptive capacity for patent activities will perceive the formation mechanism of absorptive capability anew and show considerable interest in future potential and realized absorptive capacity as part of their management strategies. This is anticipated to play an important role in adapting to rapidly changing technological advancements, the startup ecosystem, and securing sustainable competitive advantages.

• Journal of Intelligence and Information Systems
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• v.23 no.3
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• pp.139-153
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• 2017

Corporate bankruptcy can cause great losses not only to stakeholders but also to many related sectors in society. Through the economic crises, bankruptcy have increased and bankruptcy prediction models have become more and more important. Therefore, corporate bankruptcy has been regarded as one of the major topics of research in business management. Also, many studies in the industry are in progress and important. Previous studies attempted to utilize various methodologies to improve the bankruptcy prediction accuracy and to resolve the overfitting problem, such as Multivariate Discriminant Analysis (MDA), Generalized Linear Model (GLM). These methods are based on statistics. Recently, researchers have used machine learning methodologies such as Support Vector Machine (SVM), Artificial Neural Network (ANN). Furthermore, fuzzy theory and genetic algorithms were used. Because of this change, many of bankruptcy models are developed. Also, performance has been improved. In general, the company's financial and accounting information will change over time. Likewise, the market situation also changes, so there are many difficulties in predicting bankruptcy only with information at a certain point in time. However, even though traditional research has problems that don't take into account the time effect, dynamic model has not been studied much. When we ignore the time effect, we get the biased results. So the static model may not be suitable for predicting bankruptcy. Thus, using the dynamic model, there is a possibility that bankruptcy prediction model is improved. In this paper, we propose RNN (Recurrent Neural Network) which is one of the deep learning methodologies. The RNN learns time series data and the performance is known to be good. Prior to experiment, we selected non-financial firms listed on the KOSPI, KOSDAQ and KONEX markets from 2010 to 2016 for the estimation of the bankruptcy prediction model and the comparison of forecasting performance. In order to prevent a mistake of predicting bankruptcy by using the financial information already reflected in the deterioration of the financial condition of the company, the financial information was collected with a lag of two years, and the default period was defined from January to December of the year. Then we defined the bankruptcy. The bankruptcy we defined is the abolition of the listing due to sluggish earnings. We confirmed abolition of the list at KIND that is corporate stock information website. Then we selected variables at previous papers. The first set of variables are Z-score variables. These variables have become traditional variables in predicting bankruptcy. The second set of variables are dynamic variable set. Finally we selected 240 normal companies and 226 bankrupt companies at the first variable set. Likewise, we selected 229 normal companies and 226 bankrupt companies at the second variable set. We created a model that reflects dynamic changes in time-series financial data and by comparing the suggested model with the analysis of existing bankruptcy predictive models, we found that the suggested model could help to improve the accuracy of bankruptcy predictions. We used financial data in KIS Value (Financial database) and selected Multivariate Discriminant Analysis (MDA), Generalized Linear Model called logistic regression (GLM), Support Vector Machine (SVM), Artificial Neural Network (ANN) model as benchmark. The result of the experiment proved that RNN's performance was better than comparative model. The accuracy of RNN was high in both sets of variables and the Area Under the Curve (AUC) value was also high. Also when we saw the hit-ratio table, the ratio of RNNs that predicted a poor company to be bankrupt was higher than that of other comparative models. However the limitation of this paper is that an overfitting problem occurs during RNN learning. But we expect to be able to solve the overfitting problem by selecting more learning data and appropriate variables. From these result, it is expected that this research will contribute to the development of a bankruptcy prediction by proposing a new dynamic model.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.2
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• pp.81-92
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• 2022

The necessity for a theoretical explanation of the negative association between capital structure and company performance is identified in this study. By focusing on accounting metrics of business performance, this study is the first to investigate the moderating effects of firm size between these variables using logical reasoning. Due to the possibility of endogeneity, this study applies a two-step system GMM approach with data from 285 non-financial enterprises from PSX over a 21-year period. For robustness, we employed pooled OLS, fixed effect, and two-step difference GMM. Our data show that leverage has a detrimental impact on business performance, with size acting as a moderator in the same direction. Our analysis empirically supports some studies while refuting others due to inconsistent results in the literature, but no study has theoretically justified their negative link. We believe that because larger companies have more and easier access to capital markets, they focus primarily on the amount of return, even if the investment is inefficient in terms of the rate of return, but small businesses do not. As a result of this thinking, firm managers' performance suffers as a result of leverage.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.105-115
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• 2020

The study empirically examines the effects of loan portfolio diversification on bank risk and return in the nascent banking market of Vietnam. Loan portfolio diversification is captured through the Hirschman-Herfindahl index and the Shannon Entropy with sectoral exposures. We access each bank's financial reports to collect the required data, especially the breakdown of sectoral loan portfolios, thus constituting a unique dataset. To compute bank return, we use the traditional accounting indicators, including return-on-assets, return-on-equity, and net-interest margin. For bank risk, we utilize the loan-loss provisions and non-performing loans relative to gross customer loans. Using a sample of 30 commercial banks over the period from 2008 to 2019 and the system generalized method of moments estimator for the dynamic panel, we indicate the downsides of portfolio diversification. Concretely, we observe that all diversification measures exhibit significantly negative signs in all regressions across different bank return proxies. At the same time, the estimates display the significant and positive impact of diversification on the non-performing loan ratio. Hence, sectoral loan portfolio diversification significantly hampers bank performance in both aspects of lower return and higher credit risk. The results are robust across a rich set of bank performance and portfolio diversification measures.

• Korea Journal of Hospital Management
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• v.22 no.3
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• pp.61-73
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• 2017

Purposes : The purpose of this study is to identify factors that have effects on safety activities of hospital personnels by investigating causality between patient safety culture, job stress, safety system and safety activities of faculty and staff member who are working for oriental medicine hospital of university. Methodology : The subjects were 246 employees working in 4 oriental medicine hospitals of university in Daejeon and Chungcheongnam-do. The data were collected from January 16 to January 25, 2017 using a structured questionnaire. For data analysis, descriptive statistics, Pearson correlation coefficient, t-test, ANOVA and Duncan test with SPSS 22.0 were used. Findings : The activity score for patient safety of faculty and staff member, who were experienced at job training program after joining a company and regular training course for qualification or license, was meaningfully higher than that of group who had no job training experience. The result indicated that the higher there is level of safety culture and safety system and the lower there is work stress, the more the activity has positive effect on patient safety. The level score of awareness for safety culture of faculty and staff member in C hospital, which is facing financial crisis in business circumstances recently, showed average value of 3.29. It was significantly lower than that of the other three hospital. Also, The activity score for patient safety was markedly lower than that of the other three hospital. This result become interested in the process of linking non-financial performance and financial performance. The level score of safety activity in A hospital which obtained healthcare accreditation was remarkably higher than that of the other three hospital which didn't certify healthcare accreditation. Pratical Implications : Subjects about Q.I or patient's experience management must be included in curriculum of Oriental medicine. It is necessary to get the effect of job training program for faculty and staff member through the process of preparation for obtaining healthcare accreditation. When the hospital director is appointed, it must be considered that he/she has the ability to attach importance to analysis and management of the factors creating safety accident, and has business mindset for healthcare delivery of customer- centricity. This research showed that financial performance of hospital, which of business environment is favorable; located in metropolitan city and having large scale of hospital and quality of residence rating but low-level of safety culture and safety activity, was lower than that of general hospital situated in small and medium-sized cities. More research needs to be done for answering this result.

• Journal of Families and Better Life
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• v.15 no.4
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• pp.301-314
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• 1997

The purpose of this study is to analyze difference of life satisfaction of employed wives by living with mother-in-law or mothers. Life satisfaction of employed wives are measured by marital satisfaction the satisfaction of used time and role performamce and financial satisfaction. For this study 449 employed wives in Tajean are the subjects of survey. The main results were as follows; 1. The degree of life satisfaction of employed wives indicated more than middle level(M=3.44) While the degree of satisfaction in marital satisfaction indicated high the degree of satsifaction in the used time and role performance indicated low 2. On the whole the influential valiables on the marital satisfacton of employed wives were found in the following oreders; wife's and husband's educationa level job and income. 3. There were a non-significant difference in the life satisfaction of employed wives between living with mothers or not. But the differences between living with mothers-in-low an mothers were significant in the satisfaction of used time and role performance.

• Proceedings of the Safety Management and Science Conference
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• 2008.11a
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• pp.189-199
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• 2008

It is good to use DEA method as it can measure the efficiency without depending on a specific function like cost function. The method also finds out the most efficient group among the sample groups and gives us a specific number. For example, it shows what kind of factor of inefficient group gives how much input and produces how much output. Originally DEA, which was developed by Charnes, Cooper and Rhodes, allows us not only to measure the relative efficiency of Decision Making Units(DMUs) of non-profit organizations whose success cannot be measured by a single bottom-line figure such as profit but also to integrate several variables, which have different measuring scale, into a single model. Therefore we can use physical scales and financial scales simultaneously in the same model without any transformation process. In this study, price and measurable performance indexes of vehicles are used as input and outputs respectively. The purpose of this study is to propose an effective approach for evaluating the relative efficiency of vehicles and to determine the vehicles have high performance efficiency compared to product cost.

• Management & Information Systems Review
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• v.35 no.2
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• pp.185-203
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• 2016

This study set up a study model through a previous study and aims to determine the control effect by organizational support in the effect relationship between consulting performance which is an independent variable and organizational performance which is a dependent variable. To do that, the hypothesis was verified by using statistical programs such as SPSS 20.0 and AMOS 20.0 which can be statistically useful with 511 copies except for the copies which cannot be utilized, over 4 weeks from February $25^{th}$ to March $24^{th}$, 2015, focusing companies located in Seoul, Gyeonggi, Incheon. The hypothesis testing result of the study model set by this study shows that firstly, this study has contributed to establishing an additional theory in the research between consulting performance and organizational performance while it has not been enough for consulting performance and organizational performance in previous studies. Second, although the moderating variable of organizational support in the effect relationship between consulting performance and organizational performance didn't show a partial positive (+) role in the hypothesis testing, more detailed analysis in the survey process and the variety on questionnaire configuration were provided in the variable selection. Third, as consulting performance shows a positive effect on organizational performance, a higher consulting performance gives a direct impact on organizational performance so that a realistic action plan on internalizing and enhancing consulting execution result into organizational performance is aggressively required.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.8
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• pp.2103-2109
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• 2009

Balanced Scorecard(BSC) is one of the ways to estimate the achievement results of enterprises which, beyond the simple financial index traditionally used for enterprise achievement result management system, aims to estimate and manage the key perspectives for the future and goal achievement of enterprises as financial perspectives, customer perspectives, internal business perspectives, learning and growth perspectives with a fully consistent and balanced measure, and moreover manage their relationships regarding cause and effect on its basis. Introduction of BSC can be a profound implication for management strategies not only in that its introduction itself has numerous direct effects but also in the way of understanding whether or not its sequential relations exist. Thus this study focused on if the introduction of BSC is effectual, and if there exist any time-lag sequential relations between the effects. The results of the this study indicate that the introduction of BSC has positive effects on the internal business perspectives, learning and growth perspectives, financial perspectives, with the last aspect lasting longer. After dividing perspectives of BSC into leading indicator and lagging indicator, the analysis on if there was some relationships between two indicators was done. As a result, the introduction makes internal process improve first, which has positive effects on financial performance next.