• Management & Information Systems Review
• /
• v.37 no.4
• /
• pp.1-20
• /
• 2018

This study aimed to examine earnings quality of firms selected as Global Champs project which has been promoted by the government since 2013 to support small and medium sized enterprises, for the screening year(t-1) and selected year(t). Earing quality is measured as the value of discretionary accruals estimated by Dechow et al.(1995) adjusted Jones model and Kothari et al.(2005) model, respectively. I analyze the differences of earning quality between the Global Champ firms and the paired firms selected through criteria of the similar total assets and the same industry in the screening year and the selected year. This study is motivated by the needs of measurement of the performance of the Project from the accounting transparent point of view. As the results of this study, major findings are summarized as follows. Firstly the earnings quality of the selected firms was lower than that of the paired firms. This can be explained as a result of motivation of earnings management by companies eager to meet the requirements to be selected for the Project. Secondly, in the selected year, the earnings quality was proved to improve, comparing to the screening year. This can be explained by the efforts of companies to reinforce management innovation and transparent management, which in turn led to positive effects on the earnings quality. These findings were found to be consistent in the additional analyses, where the earning quality of the reconstructed sample with only selected companies was compared for the screening year and the selected year, based on the year before the screening year(t-2).

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.12 no.9
• /
• pp.3856-3868
• /
• 2011

Until recently, research trend in real estate has been focused on real estate market and the market analysis. But the studies on real estate training program development for real estate agents to improve their job performance are relatively short in numbers. Thus, this study shows empirical analysis of the needs for the training programs for real estate agents in Cheonan to improve their job performance. The results are as follows. First, in the survey of asking what educational contents they need in order to improve real estate agents' job performance, most of the respondents show their needs for the analysis of house's value, legal knowledge, real estate management, accounting, real estate marketing, and understanding of the real estate policy. This is because they are well aware that the best way of responding to the changing clients' needs comes from training programs. Secondly, asked about real estate marketing strategies, most of respondents showed their awareness of new strategies to meet the needs of clients. This is because new forms of marketing strategies including internet ads are needed in the field as the paradigm including Information Technology changes. Thirdly, asked about the need for real estate-related training programs, 92% of the respondents answered they need real estate education programs run by the continuing education centers of the universities. In addition, the survey showed their needs for retraining programs that utilize the resources in the local universities. Other than this, to have effective and efficient training programs, they demanded running a training system by utilizing the human resources of the universities under the name of the department of 'Real Estate Contract' for real estate agents' job performance. Fourthly, the survey revealed real estate management(44.2%) and real estate marketing(42.3%) is the most chosen contents they want to take in the regular course for improving real estate agents' job performance. This shows their will to understand clients' needs through the mind of real estate management and real estate marketing. The survey showed they prefer the training programs as an irregular course to those in the regular one. Despite the above results, this study chose subjects only in Cheanan and thus it needs to research more diverse areas. The needs of programs to improve real estate agents job performance should be analyzed empirically targeting the real estate agents not just in Cheonan but also cities like Pyeongchon, Ilsan and Bundang in which real estate business is booming, as well as undergraduate and graduate students whose major is real estate studies. These studies will be able to provide information to help develop the customized training programs by evaluating elements that real estate agents need in order to meet clients satisfaction and improve their job performance. Many variables of the program development learned through these studies can be incorporated in the curriculum of the real estate studies and used very practically as information for the development of the real estate studies in this fast changing era.

• Journal of Animal Science and Technology
• /
• v.47 no.5
• /
• pp.769-782
• /
• 2005

Twenty four Holstein steers fed commercial concentrates with rice straw(T1), mixed grass hay(T2), or wet brewer’s grains based TMR ad libitum(T3) were used to investigate the effects of roughage feeding type during the growing and early-fattening periods on growth performance, feed efficiency and carcass characteristics. Growth performance and feed efficiency were investigated during the feeding trial conducted from 6 to 23 mo of age, and carcass characteristics were investigated after slaughter. Body weight at slaughter and daily gains were 751 to 802 kg(mean 782 kg) and 1.064 to 1.159 kg/d(mean 1.122 kg/d), respectively, showing that those for T2 were highest followed by T3. Compared with T1, the daily gain for T2 was improved by 8.9%. The TDN intakes per kg gain were 6.87, 7.17 and 7.15 kg for T1, T3 and T2, respectively, indicating that feed efficiency for T2 was improved(approx. 5%) compared with T1. The feeding treatments did not change dressing percentage(mean 60.8%), back fat thickness(6.68 mm) and rib-eye area(84.0$cm^2$). Neither meat quality characteristics nor physicochemical properties were significantly different among the treatments. However, economic analysis accounting for 882.8, 991.7 and 943.8 thousand won per head for T1, T2 and T3, respectively, indicated that T2 and T3 increased(7-12%) total net income compared with T1. Therefore, it may be concluded that high quality meat of Holstein steers can be produced if they are fattened until 23 mo of age and that feeding mixed grass hay as roughage or TMR containing mainly wet brewer's grains during the growing and early-fattening periods can improve growth performance compared with feeding rice straw.

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

• Journal of Aquaculture
• /
• v.21 no.4
• /
• pp.218-225
• /
• 2008

Changes in 13 free amino acids (FAA) of Haliotis discus discus exposed to various salinities were investigated using a high performance liquid chromatography (HPLC). Taurine, glycine and alanine are three major contributors to the total FAA in the gill tissues of H. discus discus. Concentration of taurine was 114 imol/g dry tissue weights accounting for 76.64% of total FAA in H. discus discus. Levels of most FAAs in H. discus discus exposed to low and high salinities for 24 h decreased dramatically. Taurine concentration was slightly increased in the samples exposed to 20 psu and 25 psu for 48 h, and greatly increased after 120 h exposure. After 48 hrs exposure to 20 psu, 25 psu, 30 psu and 40 psu, methionine in H. discus discus was not detected; no methionine was detected in the sample exposed to 20 psu, 25 psu, 30 psu and 40 psu after 120 h of exposure. Taurine:glycine ratio increased depending upon hyper-hypoosmotic condition as well as period of osmotic stress. These data indicate that taurine, glycine and methionine play important role in regulating osmotic stress in H. discus discus. This study suggesting that FAA analysis is a useful tool to diagnose osmotic stress to H. discus discus.

• Management & Information Systems Review
• /
• v.34 no.5
• /
• pp.295-312
• /
• 2015

Companies are recently emphasizing social capital that is formed by the network and trust among organization members to secure continuous competitive edge. Social capital induces the members' adaptation and immersion through the interactions with multidimensional factors within an organization, and contributes to increasing an organization's performance by causing cooperative behaviors as a passage of communications and participation. This study analyzed the influence of social capital and organizational support recognition formed in an organization on the turnover intention, and examined the moderating effect of organizational support recognition in the relationship between social capital and turnover intention. To achieve the purpose, this research conducted a survey on small and medium sized manufacturing companies in Busan and Gyeongnam and performed an empirical analysis using hierarchical regression analysis. According to the empirical analysis, the structural and relational dimensions of social capital had a negative (-) influence on the turnover intention. Especially, the relational dimension had a huge influence on the turnover intention, showing that it is important to form trust among an organization's members through their interactions. Second, organizational support recognition also had a negative (-) influence on the turnover intention, demonstrating that attention and complete support at an organizational dimension were needed for individual members. Third, organizational support recognition appeared to mediate the relationship between social capital and the turnover intention. The higher the organizational support recognition was, the lower the negative (-) influence of the relational dimension of social capital on the turnover intention was. Based on these results, this paper discussed the theoretical and practical implications of this research as well as future assignments.

• International Journal of High-Rise Buildings
• /
• v.9 no.2
• /
• pp.127-154
• /
• 2020

Disproportionate collapse triggered by local structural failure may cause huge casualties and economic losses, being one of the most critical civil engineering incidents. It is generally recognized that ensuring robustness of a structure, defined as its insensitivity to local failure, is the most acceptable and effective method to arrest disproportionate collapse. To date, the concept of robustness in its definition and quantification is still an issue of controversy. This paper presents a detailed review on about 50 quantitative measures of robustness for building structures, being classified into structural attribute-based and structural performance-based measures (deterministic and probabilistic). The definition of robustness is first described and distinguished from that of collapse resistance, vulnerability and redundancy. The review shows that deterministic measures predominate in quantifying structural robustness by comparing the structural responses of an intact and damaged structure. The attribute-based measures based on structural topology and stiffness are only applicable to elastic state of simple structural forms while the probabilistic measures receive growing interest by accounting for uncertainties in abnormal events, local failure, structural system and failure-induced consequences, which can be used for decision-making tools. There is still a lack of generalized quantifications of robustness, which should be derived based on the definition and design objectives and on the response of a structure to local damage as well as the associated consequences of collapse. Critical issues and recommendations for future design and research on quantification of robustness are provided from the views of column removal scenarios, types of structures, regularity of structural layouts, collapse modes, numerical methods, multiple hazards, degrees of robustness, partial damage of components, acceptable design criteria.

• Science of Emotion and Sensibility
• /
• v.20 no.2
• /
• pp.127-136
• /
• 2017

Attentional blink is observed in an identification task of multiple targets during rapid serial visual presentation (RSVP) where performance for the second target (T2) that follows within 500ms of the first (T1) shows systematic decrease although that for T1 remains highly accurate. Theories accounting for attentional blink can be classified into two broad categories of resource depletion model and disruption of input filter model. Meanwhile, visual attention capacity shows hemifield independence between left and right visual fields, and many studies reported bilateral advantage in a range of visual working memory tasks. The current research tested two major theories of attentional blink using bilateral independence of attentional capacity. To this end, we conducted two experiments where two RSVPs were presented in either bilateral or unilateral visual fields. Experiment 1 presented two RSVPs which contained both T1 and T2 in either bilateral or unilateral visual fields and tested interaction between attentional blink and bilateral advantage. Experiment 2 removed T1 in one of the two RSVPs to test whether attentional blink obtains when identification of T1 and T2 utilize independent sources of attention across two visual fields. The results showed that subjects were more accurate when two RSVPs were presented in bilateral visual fields (i.e., bilateral advantage) although there was no interaction between attentional blink and bilateral advantage (Experiment 1). In addition, attentional blink for T2 was observed in a T1-absent RSVP even when two RSVPs were presented in bilateral visual fields (Experiment 2). These results support disruption of input filter model rather than resource depletion model.

• The Journal of the Korea Contents Association
• /
• v.10 no.10
• /
• pp.267-273
• /
• 2010

The present study examined factors for current conditions of dental office manager in Korean dental clinic. 108 randomly selected members of Korean dental office manager responded to a questionnaire. A survey was conducted for a month from 1, June 2008, and the chi-square test and ANOVA were used in the statistical analysis. The findings of the study were as follows: The number of members depending on the type of occupation dental hospital was the highest number of members, members of the dental hygienist at the dental hospital number significantly higher. The career of dental office manager followed by 1-5 year in dental hospital, 5-10 year in dental network, 1-5 year in dental clinic accounting for 48%, 52.9%, 69.4%. The difficulty during duty performance are high expectation of owner in dental hospital, learning of dental office manager duty in dental clinic. The duty of dental office manager followed by customer service, appointment scheduling, telephone etiquette, treatment plan. Henceforth, it needs to standardize the Korean name of dental office manager and duty. Also, it have to an official certification system.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.18 no.1
• /
• pp.231-237
• /
• 2017

This study examines the relationship between voluntary information disclosure and the effective tax rate using Investor Relation (IR) as the proxy for the level of the firm's voluntary information disclosure, and effective corporate tax rate as the proxy for the level of tax avoidance. This study considers sample data from 1,396 firms listed on the Korea Composite Stock Price Index (KOSPI) from 2011-2014. The results of this study are as follows: Investor Relation (IR) had a positive correlation with effective corporate tax rate. This result got on with the result of additional analysis using extra measurement of effective corporate tax rate. According to these results, we expect that firms featuring greater voluntary information disclosure report enhanced business performance. This study contributes understanding how Investor Relation (IR) affects tax avoidance. We hope that this study can promote the development of capital markets and provide good news to investors for firms that have greater information disclosure.