• The Journal of Asian Finance, Economics and Business
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• v.8 no.12
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• pp.377-389
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• 2021

This study aims at investigating the effects of big accounting data on the sustainable business growth of listed firms in Thailand. In addition, it examines the mediating effects of accounting information quality and decision-making effectiveness and the moderating effects of digital innovation on the research relationships. The study's useful samples are the 289 listed Thai companies. To examine the research relationships, the structural equation model and multiple regression analysis are used in this study. According to the results of this study, big accounting data has a significant effect on accounting information quality, decision-making effectiveness, and sustainable business growth. Next, accounting information quality significantly affects decision-making effectiveness and sustainable business growth. Similarly, decision-making effectiveness significantly affects sustainable business growth. Both accounting information quality and decision-making effectiveness mediate the big accounting data-sustainable business growth relationships. Lastly, digital innovation moderates the effects of accounting information quality and decision-making effectiveness on sustainable business growth. Accordingly, In conclusion, big accounting data has emerged as a key source of sustainable competitive advantage. As a result, to succeed in competitive environments, businesses must have a thorough understanding of big accounting data.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.257-264
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• 2013

The purpose of this study is to propose plans of accounting transparency enhancement for Korean firms' sustainable growth and moral management. Moral management is not optional but essential strategy under global competitive circumstances. It has been proved that sustainable growth was possible through moral management. The plans of accounting transparency enhancement obtained from this study are as below. The implementation of early childhood education on the role and function of accounting, including contents related accounting ethics in university business curriculum or accounting curriculum, including contents related accounting(management) ethics in various accounting qualification examination, building and utilization of systematic knowledge base on accounting fraud, strengthen supervision for implementation of stable and reliable K-IFRS, improving public ethics through strengthening ethical awareness, devotion of community leaders for the nation and society etc.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.767-780
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• 2021

The purpose of this research is to analyze the effect of financial elements (asset growth, liability growth, equity growth, revenue growth, and profit growth) on stock price performance and to analyze the growth of Corporate Social Responsibility (CSR) costs as a moderating effect. The technique analysis used is regression analysis. Samples in this analysis are manufacturing firms listed on the Indonesian Stock Exchange (IDX) for the period 2014-2018. The use of regression models for hypothesis testing must fulfill several applicable assumptions such as Normality Test, Heteroscedasticity Test, Multicollinearity Test, Autocorrelation Test, Model Fit Test, Determination Coefficient Test, and Hypothesis Test. Data analysis used two research models, namely model 1 and model 2. Model 1 is without the moderating variable, and model 2 is with the moderating variable, that is, CSR cost growth. Based on the result of the regression analysis, it can be inferred that the asset, revenue, and profit growth have a positive impact on stock price results. Liabilities and equity growth do not affect stock price performance. Operating expense growth has a significant effect on price performance. CSR cost growth can moderate the effect of growth in financial statement elements on stock price performance but is not significant.

• KDI Journal of Economic Policy
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• v.36 no.2
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• pp.137-174
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• 2014

This paper examines whether the TFP growth of the Korean economy slowed down in 2000s based on growth accounting, focusing on how sensitive the results are to the particular aspects of the growth accounting method. There has been no consensus on this issue as the previous studies have provided very diverse results due to the differences in the details of the growth accounting method. Main results of this paper are as follows. First, it is how to calculate the labor income of the self-employed that has the most significant impacts on the estimated TFP growth. Measuring capital stock also matters. Second, the TFP growth of the Korean economy appears to be sustained in 2000s when the extreme assumptions on the labor income of the self-employed are excluded and capital stock is measured by the most frequently-adopted method in the previous studies. For more reliable estimation of the TFP growth, further studies on measuring the labor income of the self-employed are needed.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.4
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• pp.19-26
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• 2019

The study investigates the impact of accrual anomaly on stock return ratio of listed firms in Vietnam. Data were collected from listed firms for the period from 2008 to 2018. To learn about the causes of accrual anomaly in returns and future rate of returns on the Vietnamese stock market, this research is based on accrual analysis of Richardson, Sloan, Soliman, and Tuna (2006) on growth and effective components. We employ GLS regression model for examining the impact of accrual anomaly on stock return ratio and T-test for checking the difference between the lowest and the highest portfolio. The results show that accounting distortion is the main factor impacting the stock return, not growth determinant. Both two determinants of accounting distortion and growth contribute the explanation of the impact of accrual anomaly on profit and future stock return ratio. Experimental evidence confirms an abnormal existence of accrual in the Vietnam stock market. Aggregate accrual is negatively correlated with future operating profit and future stock return. However, after considering the factors contributing to the impact of future profitability and return on stock returns, the study results show that accounting distortion can account for low sustainability of income that is not growth.

• KDI Journal of Economic Policy
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• v.30 no.1
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• pp.33-70
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• 2008

This paper examines sources of growth of Korea's economy for the period from 1980 to 2005, based on both primal and dual growth accounting methodology employed by Young (1995) and Hsieh (2002). Also, this paper evaluates post-crisis growth performance of Korea, using cross-country comparison of growth accounting results and cross-country regressions. Main results of this paper are as follows. First, the growth slowdown after the crisis has been mainly driven by the slowdown of per worker capital accumulation. By contrast, the estimated TFPG of Korea for the period from 2001 to 2005 seems higher than, or at least roughly comparable to, the estimated TFPG in the pre-crisis period of 1991-1995. In theses respects, there were no substantial differences between the results obtained from primal and dual growth accounting methodology. Second, the cross-country regressions revealthat post-crisis growth slowdown of the Korea's economy can be largely attributed to world growth slowdown (decade effect) and East Asia-specific effects. In particular, it was found that the noticeable decelerationin per worker capital accumulation can be mostly attributed to some unknown factors which commonly affected East Asian countries. Viewed from an international perspective, the lowered post-crisis per worker GDP growth rate, as well as per-worker capital growth, which triggered concerns and debates in varying contexts, still seems respectable. So, the slowdown in capital accumulation is likely to be mainly a story of spectacularly high rate of capital accumulation in the pre-crisis period, not a story of 'weak' investment after the crisis.

• The Journal of Information Systems
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• v.28 no.4
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• pp.155-174
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• 2019

Purpose Social interest in financial statement notes has recently increased. However, contrary to the keen interest in financial statement notes, there is no morphological analyzer for accounting terms, which is why researchers are having considerable difficulty in carrying out research. In this study, we build a morphological analyzer for accounting related text mining techniques. This morphological analyzer can handle accounting terms like financial statements and we expect it to serve as a springboard for growth in the text mining research field. Design/methodology/approach In this study, we build customized korean morphological analyzer to extract proper accounting terms. First, we collect Company's Financial Statement notes, financial information data published by KPFIS(Korea Public Finance Information Service), K-IFRS accounting terms data. Second, we cleaning and tokeninzing and removing stopwords. Third, we customize morphological analyzer using n-gram methodology. Findings Existing morphological analyzer cannot extract accounting terms because it split accounting terms to many nouns. In this study, the new customized morphological analyzer can detect more appropriate accounting terms comparing to the existing morphological analyzer. We found that accounting words that were not detected by existing morphological analyzers were detected in new customized morphological analyzers.

• Journal of Korean Society of Forest Science
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• v.104 no.4
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• pp.677-684
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• 2015

This study analyzed a long-run growth trend of the forestry sector in the Republic of Korea, and forecasted the potential growth in the future after investigating main drivers of growth in the forestry sector through growth accounting analysis. Based on results, we finally suggested a direction to go forward in order to achieve a sustainable growth in the field. After Asia financial crisis, the growth rate of the forestry sector was getting stable with the fast recovery of Korean economy. While the main drivers of growth in the field was labor and capital accumulation in 1980s and 1990s, the main driver of growth has been the increment of capital accumulation since 2000. As the result of our analysis for forecasting the potential growth in the field, the contribution of labor, capital, TFP in total growth is expected as 0.09%, 1.58%, and -0.01%, respectively. The potential growth rate of the forestry sector during 2012-2020 is predicted to be 1.65% and the total production will become 36.25 trillion won.

• Management & Information Systems Review
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• v.38 no.1
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• pp.155-168
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• 2019

The objective of our study is to examine the Earnings Quality of Win-Win Growth Corporate. The level of Win-Win Growth Corporate is measured by Win-Win Index of korea commission for corporate partnership. Earnings Quality is proxied by Accounting Conservatism that is measured by the method of Givoly and Hayn(2000). The samples of this study selected from listed corporate, consist of 3,608 observations can be collected from 2011 to 2017 at TS-2000. The result of this study can be summerized in the following. the Win-Win Growth has a significant positive relevance on Accounting Conservatism is the proxy of internal Earnings Quality. This means that Win-Win Growth corporate has a higher the Earnings Quality relatively. These results were supported by additional analysis that used the sample that is made up the Win-Win Growth Corporate completely. According to our study, we can expect that the Earnings Quality of Win-Win Growth corporate is true as steel. But this study have some limitation. Especially we can't explain the reason why the Win-Win Growth has a significant positive relevance on Earnings Quality. And, despite additional analysis, there are the limitation of controlling for endogeneity. We hope that our paper can help investor making a economic decision on investment and officials making a effective policy on the Win-Win Growth.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.5
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• pp.19-29
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• 2020

The paper examines the impact of information about cash flow from operating activities of firms listed on Vietnam's stock market to the decision making of individual investors. Data were collected from interviews with 160 individual investors about their investment decisions based on information on profit growth and cash flow growth from operating activities. T-test was conducted to research on Vietnam's stock market - a market considered as information that is not really public, transparent and ineffective. The research results show that: (1) investors do not care about cash flow from operating activities when making investment decisions if the company's profits grow positively, (2) information about cash flow from operating activities only affects the decisions of individual investors once profit growth is negative, and (3) conflicting information between profit growth and cash flow growth from business activities significantly affects the confidence and comfort of investors in Vietnam's stock market when they make investment decisions. Then, the study points out the mistake of investors when making investment decisions, and offers recommendations to investors when making investment decisions, not only concerned with profit growth, but also paying special attention to cash flow growth, especially cash flow from the company's business operations.