• Title/Summary/Keyword: 재고자산회전율

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Influence of Internal and External Factors on the Inventory Turnover Change Rate (기업 내부적 및 외부적 요인이 재고자산회전율 변화율에 미치는 영향)

  • Seo, Yeong-Bok;Park, Chan-Kwon
    • Journal of Convergence for Information Technology
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    • v.11 no.9
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    • pp.94-108
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    • 2021
  • This study is to identify the internal and external factors of a company that can affect the rate of change in the inventory turnover ratio. In addition, by appropriately managing or responding to these factors, changes in the inventory turnover ratio do not occur abruptly, so that the company's business and financial performance can be improved. To confirm this, factors such as gross profit margin, cash flow volatility, advertising expenses, inflation, exchange rate rise, and leading economic index were selected, and these factors were predicted to affect the change rate of inventory turnover. Data of 85,878 companies were obtained from domestic securities listings, KOSDAQ listings, and externally audited companies, and multiple regression analysis was performed using the data. Gross profit margin and cash flow volatility have a significant positive (+) effect, advertising expenses have a negative (-) significant effect, and inflation and exchange rate rises have a negative (-) significant effect. As an influence, the leading economic index was tested to have a significant positive (+) effect. Through this, it is suggested that manufacturing companies can improve their business performance and achieve operational efficiency by well understanding and appropriately managing factors that can affect the change rate of inventory turnover.

The Study on the Risk Predict Method and Government Funds Supporting for Small and Medium Enterprises (로짓분석을 통한 중소기업 정책자금 지원의 위험예측력에 대한 연구)

  • Choi, Chang-Yeoul;Ham, Hyung-Bum
    • Management & Information Systems Review
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    • v.28 no.3
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    • pp.1-23
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    • 2009
  • Prior bankruptcy studies have established that bankrupt firm's pre-filing financial ratios are different from those of healthy firms or of randomly selected going concerns. However, they may not be sufficiently different from the financial ratios of other firms in financial distress to allow the development of a ratio-based model that predicts bankruptcy with reasonable accuracy. As the result, in the multiple discriminant model, independent variables divided firms into bankrupt firms and healthy firms are retained earnings to total asset, receivable turnover, net income to sales, financial expenses, inventory turnover, owner's equity to total asset, cash flow to current liability, and current asset to current liability. Moreover four variables Retained earnings to total asset, net income to sales, total asset turnover, owner's equity to total asset indicate that these valuables classify bankrupt firms and distress firms. On the other hand, Owner's Equity to borrowed capital, Ordinary income to Net Sales, Operating Income to Total Asset, Total Asset Turnover and Inventory Turnover are selected to predict bankruptcy possibility in the Logistic regression model.

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A Study on the Effect of Mers on the Management Performance of Tourism Industry (메르스가 관광산업의 경영성과에 미친 영향에 관한 연구)

  • Kim, Su-Jeong
    • The Journal of the Korea Contents Association
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    • v.17 no.11
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    • pp.515-524
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    • 2017
  • This study is focused on finding out how Mers affects tourism industry. To achieve the study purpose we analyzed the differences of management performance of hotels, travel agencies and airlines before and after Mers occurrence. As the result of analysis, there were significant differences in the variables of profit margin ratio before income taxes and operating profit ratio as a profit index before and after Mers occurrence in the hotel firms. And in case of travel agencies, there were significant differences in the variables of debt to equity ratio and borrowings dependence ratio as a stability index before and after Mers occurrence. Lastly there were significant differences in the variables of operating profit ratio as a profit index and total assets turnover ratio as an activity index before and after Mers occurrence in the airlines. Therefore the managers should find an way to reduce the negative image of plague through the effective marketing strategy.

Comparative on Impact of Qualitative and Quantitative of ERP Systems on Korean Firms (국내 기업 ERP 시스템 도입의 정성적.정량적 성과 비교)

  • Kang, Da-Yeon;Chang, Hwal-Sik;Kim, Jong-Ki
    • The Journal of the Korea Contents Association
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    • v.9 no.4
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    • pp.142-153
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    • 2009
  • As many companies have adopted and used ERP systems, concerns about ERP performance also have increased. The purpose of this research is to examine the relationships between qualitative variables and quantitative variables measuring ERP performances. Qualitative research, widely used in MIS research, typically examines perceived usefulness of ERP, such as information quality, system quality, system satisfaction. Quantitative research, often done in accounting research, usually examines ERP performance based on financial statements. An empirical study led to the following conclusions: 1) There were significant correlations among the qualitative variables measuring perceived usefulness of ERP; 2) Significant correlations were also observed among the quantitative variables based on financial statements; 3) However, no significant correlations was found between the qualitative variables and quantitative variables measuring ERP performance.

Empirical Evidence on the Usefulness of Throughput Time (통과시간지표의 유용성에 관한 실증연구)

  • 육근효
    • Korean Management Science Review
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    • v.19 no.1
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    • pp.75-88
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    • 2002
  • In recent years, it Is necessary to develop an alternative measure, the time efficiency of management activities, as a more measurable and operational tool Instead of traditional accounting measures such as inventories turnover. Therefore the concept of throughput time has got much attention as useful tool for controlling time based management. The purpose of this paper is to investigate the usefulness and adaptability of throughput time. The sample consists of 212 non-banking firms listed on the Korean Stock Exchange. The test Period were 10 years(1989-1998). The regression analysis for this study was performed using the cross-sectional data for the sample, and it was also performed for each Industry. The results show that net Income to tonal assets and labor productivity (value added Per employee) variables in the model was signiflcantly associated with throughput time. On the other hand, the relationship between throughput time and logistics cost to sales do largely not have statistical significance. Especially, it is found that the relationship do not have significance or negative response in food & beverage industry and wholesale & retail industry. In summary, the results show that the measure of throughput time can be an effective managerial Indicator for time based competition and management.

A Study on the Enterprise Value Analysis using AHP and Logit Regressions (AHP와 로짓회귀분석을 활용한 기업가치 분석방법)

  • Gu, Seung-Hwan;Shin, Tack-Hyun;Yuldashev, Zafar
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.16 no.9
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    • pp.5810-5818
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    • 2015
  • The dissertation presents the portfolio construction method using the score sheet so that general investors can utilize it easily. This study draws the significant variables to contribute the enterprise value and suggests the combined models by applying the single methodology, which private investors can easily utilize. The results of the research can be classified into 2 areas. Firstly, the significantly affecting variables were selected for analyzing the enterprise value. The variables and the method for the enterprise value analysis were studied from the existing researches to choose the optimal variables. The variables were identified by using AHP method and the structure equation method from the investigation of the previous researches. And the critical variables were added extracted from the common denominator of variables which the 3 grue investors used for their investment. The final variables identified are dividend yield, PER, PBR, PCR, EV/EBITDA, ROE, net income, sales growth rate, net current asset, debt ratio, current ratio, rate of operating profits, ratio of operating profit to net sales, ratio of net income to net sales, net profit to total assets, EPS growth rate, inventory turnover ratio, and receivables turnover. Second, the new methodologies for forecasting enterprise value modifying the existing methods were developed. The result of the Logistic regression analysis for forecasting showed that the equation could not be suitable as the accuracy with 91.98%.

Predicting hospital bankruptcy in Korea (병원도산 예측에 관한 연구)

  • Lee, Moo-Sik;Seo, Young-Joon
    • Journal of Preventive Medicine and Public Health
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    • v.31 no.3 s.62
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    • pp.490-502
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    • 1998
  • This study purports to find the predictor of hospital bankruptcy in Korea and to examine the predictive power of the discriminant function model of hospital bankruptcy. Data on 17 financial and 4 non-financial indicators of 31 bankrupt and 31 profitable hospitals of 1, 2, and 3 years before bankruptcy were obtained from the hospital performance databank of Korea Institute of Health Services Management. Significant variables were identified through mean comparison of each indicator between bankrupt and profitable hospitals, and the discriminant function model of hospital bankruptcy was developed. The major findings are as follows 1. As for profitability indicators, net worth to total assets, operating profit to total capital, operating profit ratio to gross revenues, normal profit to total assets, normal profit to gross revenues, net profit to total assets were significantly different in mean comparison test in 1, 2, and 3 years before hospital bankruptcy. With regard to liquidity indicators, current ratio and quick ratio were significant in 1 year before bankruptcy. For activity indicators, patients receivable turnover was significant in 2 and 3 years before bankruptcy and added value per adjusted inpatient days was significant in 3 years before bankruptcy. 2. The discriminant function in 1, 2, and 3 years before bankruptcy were; $Z=-0.0166{\times}quick$ ratio-$0.1356{\times}normal$ profit to total assets-$1.545{\times}total$ assets turnrounds in 1 year before bankruptcy, $Z=-0.0119{\times}quick$ ratio-$0.1433{\times}operating$ profit to total assets-$0.0227{\times}value$ added to total assets in 2 years before bankruptcy, and $Z=-0.3533{\times}net$ profit to total assets-$0.1336{\times}patients$ receivables turn-rounds-$0.04301{\times}added$ value per adjusted $patient+0.00119{\times}average$ daily inpatient census in 3 years before bankruptcy. 3. The discriminant function's discriminant power in 1, 2, and 3 years before bankruptcy was 77.42, 79.03, 82.25% respectively.

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