• The Journal of Asian Finance, Economics and Business
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• 제8권7호
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• pp.245-254
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• 2021

This paper examines the impact of corporate governance strength on capital structure in an emerging country, namely, Jordan, by constructing a corporate governance score that captures both internal monitoring mechanisms (foreign ownership and institutional ownership) and external monitoring mechanism (audit fees). In addition, this study uses profitability as control variable. This paper uses data of non-financial companies (industrial and services) of 87 listed firms on Amman Stock Exchange (ASE) from 2011 to 2019. Using the random-effects generalized least square (GLS) regression model, the findings reveal that foreign ownership significantly and negatively influences the level leverage, while institutional ownership has a positive and insignificant association with level leverage. Further, audit fees have a positive and strong significant association with level leverage in Jordan. In addition, profitability has a positive and significant association with leverage. These outcomes suggest that foreign ownership should be encouraged in listed companies as it can replace the weakness of other corporate governance mechanisms in Jordan. The outcomes of the current study should be of great interest to regulators and policy-makers. The results, which are robust to a range of alternative proxies and to additional tests, provide new insights into the determinants of level leverage.

• The Journal of Asian Finance, Economics and Business
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• 제9권3호
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• pp.275-283
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• 2022

This study aims to investigate the influence of internal factors on the bankruptcy risk of an enterprise through a sample of 439 companies listed on the Vietnamese stock exchange. The research collected secondary data from annual audited financial statements from 2008 to 2019 of listing companies. Using two different regression models with two dependent variables, six independent and control variables, we discovered that three of the model's six factors, namely return on total assets, current payment rate, and financial leverage, influence the risk of bankruptcy and account for 86.78% of the variations in firm bankruptcy risk. Financial leverage has the opposite effect on the Z-score index, increasing the risk of bankruptcy of listed firms. Return on total assets and current ratio have a positive impact on the Z-score index, reducing the risk of bankruptcy of listed companies. The findings also revealed that there is no evidence that the size of a corporation, its fixed asset investment ratio, or the size of an auditing firm have an impact on the Z-score index. These findings provide crucial evidence for business owners and managers, as well as shareholders making future capital investment decisions. Our findings can be applied to other businesses in Vietnam and similar jurisdictions.

• 한국항만경제학회지
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• 제38권4호
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• pp.13-23
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• 2022

본 연구는 2015년 1월부터 2020년 4월까지 건화물선 시장의 일별 운임수익률에 대한 레버리지 효과를 포착하기 위한 확률 변동성(stochastic volatility) 모형을 제안하고 운임수익률을 분석한다. 확률 변동성 분석에서 수익률과 변동성 간에 존재하는 음의 상관관계에 기초한 레버리지 효과에 대한 Bayesian Markov Chain Monte Carlo 방법을 포함하는 추정은 건화물선 운임수익률은 레버리지 효과를 포함하는 추정이 일반적인 SV 모형에 기초한 분석보다 유사한 추정치를 나타내지만 레버리지 효과에 대한 상관성 추정에서 통계적으로 유의미함을 나타낸다. 즉, 실증분석 결과는 수익률과 변동성의 상관도, 변동의 크기와 부호에 따라 상이함을 나타내며, 이는 SV 모델이 레버리지 효과를 고려하는 것이 추정치의 적합도를 향상시킴을 나타낸다. 추정모형의 레버리지 효과에 대한 통계적 유의성에 추가적으로 로그 예측력 점수를 통한 분석은 레버리지 효과를 고려하는 모형의 예측력이 향상된 추정 결과를 제시한다. 이러한 실증분석 결과는 레버리지 효과를 포함하는 확률 변동성 모형이 해양 산업의 운임 리스크 모델링에 중요함을 통계적으로 제시하는 유의미한 실증분석 결과다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권7호
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• pp.3057-3075
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• 2020

End-to-end network delay plays an vital role in distributed services. This delay is used to measure QoS (Quality-of-Service). It would be beneficial to know all node-pair delay information, but unfortunately it is not feasible in practice because the use of active probing will cause a quadratic growth in overhead. Alternatively, using the measured network delay to estimate the unknown network delay is an economical method. In this paper, we adopt the state-of-the-art matrix completion technology to better estimate the network delay from limited measurements. Although the number of measurements required for an exact matrix completion is theoretically bounded, it is practically less helpful. Therefore, we propose an online adaptive sampling algorithm to measure network delay in which statistical leverage scores are used to select potential matrix elements. The basic principle behind is to sample the elements with larger leverage scores to keep the traits of important rows or columns in the matrix. The amount of samples is adaptively decided by a proposed stopping condition. Simulation results based on real delay matrix show that compared with the traditional sampling algorithm, our proposed sampling algorithm can provide better performance (smaller estimation error and less convergence pressure) at a lower cost (fewer samples and shorter processing time).

• The Journal of Asian Finance, Economics and Business
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• 제8권1호
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• pp.179-185
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• 2021

The aim of this study is to examine the impact of board of directors' activity on the audit committee's effectiveness score among manufactured listed companies on Saudi Stock Exchange (Tadawul) for the period 2015-2017. The final sample of this study consists of 195 firm-year observations that represent manufactured companies listed on Saudi Stock Exchange (Tadawul) for the years 2015-2017. The data of this study in terms of board of directors' meetings, audit committee size and meetings, firm leverage, firm performance, and firm age were hand-collected from the annual reports of the considered companies. The Pooled OLS regression's result indicate that audit committee's effectiveness score is influenced by the board of directors' activity. This result gives support to the agency theory prediction. This result is also consistent with the complementary function of corporate governance mechanisms in which board of directors' activity complements the function of audit committee's effectiveness score. The result of this study should be useful for manufacturing companies, Saudi Stock Exchange, auditors, and regulators which relates to the association between board of directors' activity and audit committee's effectiveness score. This study provides a new empirical evidence on the impact of board activity on the audit committee's effectiveness score in an interesting context which is Saudi Arabia.

• 한국프랜차이즈경영연구
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• 제3권1호
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• pp.1-25
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• 2012

프랜차이즈 산업의 발전과 더불어 프랜차이즈 기업과 관련한 다양한 연구들이 진행되고 있다. 그 중 프랜차이즈 성과와 관련된 논의들은 가맹본부 성과, 가맹점 성과, 관계특성에 대한 성과, 재무적 성과, 비재무적 성과 등 연구의 주제나 목적에 따라 다양한 관점에서 제시되어 왔다. 그러나 기존의 프랜차이즈 성과와 관련된 논의들이 너무 포괄적으로 제시되거나 만족, 장기지향성 등 정성적인 측면만을 강조하는 한계를 안고 있다. 따라서 본 연구는 프랜차이즈 기업의 성과를 보다 명확하게 제시할 필요성에 의해 진행하게 되었다. 즉, 프랜차이즈 기업의 특성을 반영한 계량화되고 수치화된 정량적인 성과지표를 제시하고자 한 것이다. 이를 위해 프랜차이즈 기업의 계약관리 실태를 체계적으로 분석 정리하고 이를 전사적 계약관리(ECM)지표로 제시하였으며, 보다 정량적인 분석을 위해 계약관리 레버리지를 제안하였다. 계약관리 레버리지는 가맹점과의 계약증가율이 가맹본부의 매출액증가율의 변화에 어떠한 유의적인 변화를 가져오는가를 보여주는 지표로서 프랜차이즈 기업을 대상으로 분석한 결과, 주목할 만한 시사점을 발견할 수 있었다. 따라서 본 연구는 프랜차이즈 기업의 성과를 매출액이나 가맹점증가율, 만족 또는 재계약의도라는 일면적 측면에서 제시되던 관점에서 보다 종합적이고 입체적인 차원에서 계량화된 분석 틀을 제공함으로써 프랜차이즈 기업 성과연구와 실무적인 차원의 기업 성과관리에 새로운 방법론을 제시하였다는데, 그 목적과 의의가 있다.

• The Journal of Asian Finance, Economics and Business
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• 제7권11호
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• pp.241-250
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• 2020

This study examines the relationship between the attributes of board structure and the likelihood of financial distress for the non-financial sector of an emerging market characterized by concentrated ownership and family-controlled business. The present study utilized panel logistic regression to estimate the relationship between board structure attributes and the likelihood of financial distress. We used Altman Z-Score as a proxy for firm financial distress, as this tool measures the financial distress inversely. The study finds a significant relationship between board size and the likelihood of financial distress. The results show that a one-unit increase in board size would decrease the probability of financial distress by 3.4%. Further, we observe that a greater level of board independence is associated with a lower likelihood of financial distress. A one-unit increase in board independence would decrease the probability of financial distress by 20.4%. We also find a significant positive impact of leverage on the likelihood of financial distress. The present study contributes to the body of literature on board structure attributes and likelihood of financial distress in emerging markets, like Pakistan. Furthermore, the findings would be beneficial for corporate policymakers and investors in formulating corporate financial strategy and predicting business failure.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권12호
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• pp.4816-4834
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• 2020

This paper proposes transfer learning and fine-tuning techniques for a deep learning model to detect three distinct brain tumors from Magnetic Resonance Imaging (MRI) scans. In this work, the recent YOLOv4 model trained using a collection of 3064 T1-weighted Contrast-Enhanced (CE)-MRI scans that were pre-processed and labeled for the task. This work trained with the partial 29-layer YOLOv4-Tiny and fine-tuned to work optimally and run efficiently in most platforms with reliable performance. With the help of transfer learning, the model had initial leverage to train faster with pre-trained weights from the COCO dataset, generating a robust set of features required for brain tumor detection. The results yielded the highest mean average precision of 93.14%, a 90.34% precision, 88.58% recall, and 89.45% F1-Score outperforming other previous versions of the YOLO detection models and other studies that used bounding box detections for the same task like Faster R-CNN. As concluded, the YOLOv4-Tiny can work efficiently to detect brain tumors automatically at a rapid phase with the help of proper fine-tuning and transfer learning. This work contributes mainly to assist medical experts in the diagnostic process of brain tumors.

• 근관절건강학회지
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• 제31권2호
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• pp.95-106
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• 2024

Purpose: This study investigated how distress and stigma affect the quality of life (QOL) in stroke patients. Methods: A descriptive research design was utilized with 150 stroke patients from three general and three long-term care facilities. Data were collected through an 86-item questionnaire from February 15 to April 10, 2023, using measures of distress, stigma, and QOL. Analysis was conducted using descriptive statistics, independent t-tests, one-way ANOVA, Pearson's correlation coefficients, and hierarchical regression analysis in SPSS/WIN 25.0. Results: The average QOL score was 156.37±38.27 out of 245 points. Factors affecting QOL of stroke patients were distress (β=-.56, p<.001), stigma(β=-.26, p<.001), biplegia (β=-.11, p=.045), and unemployment (β=-.10, p=.045), explaining 68% of the QOL variance. Conclusion: Programs aimed at reducing distress and stigma in stroke patients are essential for enhancing QOL. Effective strategies should address post-stroke physical and mental states, prevent complications, restore health, reduce anxiety, and leverage family and social support to mitigate stigma. Special attention is needed for stroke patients with hemiplegia and those who are unemployed.

• 한국운동역학회지
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• 제25권4호
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• pp.441-451
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• 2015

Objective : The purpose of the study was to investigate and compare the differences between Parkinson's disease rating, balance, fall and gait scales. Results : Parkinson's disease rating scales include the Hoehn-Yahr Scale and the Unified Parkinson's Disease Rating Scale (UPDRS). The Hoehn-Yahr Scale can measure disease rates easily; however it is not sensitive enough to evaluate the disease's process and management. UPDRS's advantage is in it's higher inter-reliability score; however it is more complicated to use. Parkinson's balance scales are comprised of the Berg Balance Scale (BBS) and the Activities-Specific Balance Confidence Scale (ABC). BBS has the advantage in that it is cheaper to measure and simple in use. ABC's advantage is especially in it's ability to measure higher functional levels; however it is more difficult measure responses due to scores appearing in both extremes. The Fall Efficacy Scale (FES) and The Survey of Activities and Fear of Falling in the Elderly (SAFE) are Parkinson's fall scales. FES's leverage over SAFE is that it is simpler to measure; however it does not coincide with responses which proves disadvantageous in measuring balance loss in high-level Parkinson's patients. SAFE's advantage is in it's simpler use and ability to be utilized without encountering the fear of fall; however it's at a disadvantage in regards to its use with multilateral aspects providing insufficient inspection. Lastly, the Dynamic Gait Index (DGI) and the Functional Gait Assessment (FGA) are Parkinson's gait scales. DGI is advantageous in its ability to test gait ability when exposed to a variety of external environments; however it is disadvantageous in that it registers higher scores with activities. FGA's advantage is in it's dynamic balance test; however it at a disadvantage with those unable to walk. Conclusion : A researcher of Parkinson's patients must choose each scale while considering their positive and negative characteristics.