Miracle-dz/UniFAR-FTUs huggingface dataset:
Board of Commissioners in Corporate Governance, Firm Performance, and Ownership Structure

The purpose of this study is to investigate: firstly, the two-way causality between firms performance and the size of BOC; secondly, the nonlinear effect of board size on the firms’ performance; thirdly, the direct and moderating effects of the ownership structure on the influence of firm performance on board size. Using the ROA as a measure of firm performance, we find that there is a simultaneous relationship between firm performance and the size of BOC: the size of the board has an inverted U-shaped effect on firm performance while firms performance has a negative influence on board size. We find that the size of the board of commissioners increases firm performance up to a certain level, but a very large board reduces firm performance. We find marginal evidence that ownership structure has a moderating effect on the impact of firm performance on board size. We document that the negative effect of performance on board size dissipates as ownership right increases. The negative effect of performance on board size marginally strengthens. Thus, our study contributes to the literature by finding that the negative influence of firm performance and board primarily occurs on firms that are subject to high incentive expropriation by controlling shareholders. Keywords : board size, board of commissioners, corporate governance, firm performance, ownership structure, cash-flow rights, control rights. * Department of Management, Faculty of Economics and Business, Universitas Indonesia, Kampus UI Depok 16424, Indonesia ** Department of Accounting, Faculty of Economic and Business, Universitas Indonesia, Kampus UI Depok 16424, Indonesia https://doi.org/10.21632/irjbs.12. 2.111-136
Earnings Manipulation Benchmark for Nonfinancial Listed Companies in Vietnamese Stock Market

The paper examines earnings management detection using the Beneish M-score benchmark model on a sample of 468 non-financial Vietnamese companies listed on the Hochiminh Stock Exchange (HOSE) and Hanoi Stock Exchange (HNX) during 2013-2014. The results show that 40 % of non-financial Vietnamese- listed companies were involved in earnings management, and the sampled observations do fit the Beneish M-score model. This study suggests that the M-score model is a useful technique to use to detect the earnings manipulation behaviors of companies in Vietnam. The M-score model is also a reliable tool for investors to make when making decisions and verifying the reliability of accounting information found in financial reports.
The Real Effects of Secondary Market Trading Structure: Evidence from the Mortgage Market

By allowing different agency mortgage-backed securities (MBS) to be traded based on limited characteristics, the to-be-announced (TBA) market generates liquidity and benefits the MBS market broadly. We quantify effects of the TBA structure on mortgage borrowers. Exploiting discontinuities in TBA eligibility, we estimate that TBA eligibility reduces mortgage rates by 7 to 22 basis points. TBA eligibility benefit is larger for mortgages with higher expected prepayments. We also find that TBA eligibility affects refinancing, which has implications for monetary policy transmission. Our finding is relevant for policies such as housing finance reforms and Uniform MBS.
Low-Cost Green Car Purchase Intention: Measuring the Role of Brand Image on Perceived Price and Quality

Purpose: The study tests a rhombus model. A rhombus model refers to a rhombus-shaped research model consisting of three predictor variables including brand image, perceived price, and perceived quality that is used to predict purchase intention. This study aims to predict a person’s purchase intention relating to Low-Cost Green Cars (LCGC). In Indonesia market, this type of passenger vehicle is targeted towards lower income consumers and those who are concerned with the environment. Design/Methodology/Approach: Data was collected using a questionnaire in a shopping centre in Jakarta close to a year-round car exhibition. In total, 200 participants completed the questionnaire. Data were analysed using exploratory factor analysis and structural equation modeling. Findings: The study found that in the case of Toyota Agya, brand image has a significant impact on perceived price and perceived quality. Also, perceived price has a significant impact on purchase intention. There are slightly different results in the case of Daihatsu Ayla. Practical Implications: Results can be used by managerial administration adjusting its strategy to attract more costumers. Originality/Value: It is an original research with prospective buyers for a known product, the brand name of the cars were known to participants in the research.
GNSS Spoofing Attack Detection using Aircraft Autopilot Response to Deceptive Trajectory

Çağatay Tanıl obtained his B.S. and M.S. in Mechanical Engineering from Middle East Technical University (METU), Turkey, in 2006 and 2009. He is currently a Ph.D. Candidate in Aerospace Engineering at Illinois Institute of Technology (IIT) and Research Assistant in Navigation and Guidance Lab. Prior to doctorate studies at IIT, he worked as a senior design engineer at several defense/aerospace companies (Roketsan Missiles Industries, TAI Turkish Aerospace Industries, Tubitak-SAGE Defense Industries Research and Development Institute) in Turkey from 2006 to 2013. He has been involved in flight mechanics, guidance, navigation and control, optimization, modeling and simulation, and path planning for autonomous systems in aerospace applications. He is currently focused on anti-spoofing attack algorithms for aircrafts. Dr. Khanafseh is currently a Research Assistant Professor at Mechanical and Aerospace Engineering Department at IIT. He received his M.S. and PhD degrees in Aerospace Engineering from IIT, in 2003 and 2008, respectively. Dr. Khanafseh has been involved in several aviation applications such as Autonomous Airborne Refueling (AAR) of unmanned air vehicles, autonomous shipboard landing for NUCAS and JPALS programs and Ground Based Augmentation System (GBAS). He published 13 journal articles and more than 30 conference papers. His research interests are focused on high accuracy and high integrity navigation algorithms for close proximity applications, cycle ambiguity resolution, high integrity applications, fault monitoring and robust estimation techniques. He was the recipient of the 2011 Institute of Navigation Early Achievement Award for his outstanding contributions to the integrity of carrier phase navigation systems Dr. Boris Pervan is a Professor of Mechanical and Aerospace Engineering at IIT, where he conducts research on advanced navigation systems. Prior to joining the faculty at IIT, he was a spacecraft mission analyst at Hughes Aircraft Company (now Boeing) and a postdoctoral research associate at Stanford University. Prof. Pervan received his B.S. from the University of Notre Dame, M.S. from the California Institute of Technology, and Ph.D. from Stanford University. He was the recipient of the IIT Sigma Xi Excellence in University Research Award, Ralph Barnett Mechanical and Aerospace Dept. Outstanding Teaching Award, Mechanical and Aerospace Dept. Excellence in Research Award, IIT University Excellence in Teaching Award, IEEE Aerospace and Electronic Systems Society M. Barry Carlton Award, RTCA William E. Jackson Award, Guggenheim Fellowship (Caltech), and the Albert J. Zahm Prize in Aeronautics (Notre Dame). He is an Associate Fellow of the AIAA, a Fellow of the Institute of Navigation (ION), and Editor-in-Chief of the ION Journal Navigation.
Impact of Corporate Governance on Corporate Sustainable Growth

It is believed that good corporate governance practices assist significantly in uplifting corporate performance, and brings in business success and sustainability. This study aims to shed light on the impact of corporate governance practices on corporate sustainable growth in India. A sample size of leading 139 non-financial companies listed in NSE for five years has been used in this study. Using longitudinal data analysis, the findings of the study suggest that Board Size (BS) and the Board Independence (B-IND) exercise strong influence in explaining the Corporate Sustainable Growth in India after controlling the effect of Leverage (LEV). Keywords : corporate sustainable growth, corporate governance, longitudinal data analysis, control variable, India. * Department of Commerce, The University of Burdwan, West Bengal, and St. Xavier’s University, Kolkata, India **Department of Commerce, The University of Burdwan, West Bengal, India. https://doi.org/10.21632/irjbs.12. 2.167-184
The Effect of Mentoring on the Academic Success of College Sophomores

EFFECT OF MENTORING ON THE ACADEMIC SUCCESS OF COLLEGE SOPHOMORES John C. Lee Old Dominion University, 2014 Director: Dr. Dennis Gregory A review o f the higher education literature indicates that the majority o f retention research has focused on first-year students and that additional research is needed for other class levels particularly sophomores (Graunke & Woosley, 2005). However, the reality is that sophomores benefit from a minimal number of special programs, minimal contact with faculty and others in leadership positions, and minimal attention from student affairs personnel (Anderson & Schreiner, 2000). An unintended consequence o f this reduced attention is higher than expected rates o f sophomore attrition. This exploratory research study employs a quasi-experimental quantitative research design to evaluate the results of a mentoring program for sophomore students. The instruments utilized to support the study are the “Student Role Commitment Scale” and the “Academic Skills Comfort Scale” from the Transition to College Inventory (TCI). Academic success was assessed using cumulative GPA and retention o f students from sophomore to junior status. The findings o f the study are analyzed and presented, and areas for future research are highlighted. The findings indicate that mentoring can have a significant impact on sophomore student academic success, which can lead to higher grades and persistence. Finally, the study suggested directions for continued research and actions that might taken to increase student academic success in higher education settings. ACKNOWLEDGMENTS I would like to thank the faculty o f the Higher Education program at Old Dominion University for their guidance, patience, and wisdom especially during the research and writing phases o f my dissertation. I would also like to thank my family for their belief in me and their support o f me. Finally, I would like to thank Dr. Dennis Gregory for his guidance and extreme patience with me throughout this process.
Business Transformation through Blockchain Volume I

Blockchain Economic Networks: Economic Network Theory – Systemic Risk and Blockchain Technology -- Blockchain Adoption: Technological, Organisational, and Environmental Considerations -- Blockchain-Based Decentralized Business Models in the Sharing Economy: A Technology Adoption Perspective -- Blockchain as a Platform -- Blockchain Technology: The Autonomy and Self-Organisation of Cyber-Physical Systems -- Bitcoin and Investment Portfolios -- Blockchain in the Payment Industry: Developing a Discussion Agenda Based on Pain Points and Opportunities -- Blockchain Initial Coin Offerings: Blockchain’s Implications for Crowdfunding -- Insurance under the Blockchain Paradigm.
Ventricular segmentation and quantitative assessment in cardiac MR using convolutional neural networks

Segmentation of heart substructures in cardiac magnetic resonance (CMR) is an important step in the quantitative assessment of the impact of cardiovascular disease. Manual delineation of these structures, over many patients and multiple time phases, is time consuming and prone to human error and fatigue. In this work we use a deep fully convolutional neural network architecture to automatically segment heart substructures in CMR, achieving state of the art results on a recent benchmark dataset. We further apply our process to a much larger study of CMR subjects, automatically segmenting both left and right ventricular endocardiums (LV, RV) with full thirty-phase time resolution, and LV epicardium (Epi) at end-diastole. We validate our automatically obtained results against manual delineations using Dice overlap and Hausdorff distance, as well as Bland-Altman limits of agreement on the derived blood volumes, ejection fraction, and LV mass. We obtain median Dice overlaps of 0.97, 0.94, and 0.97 on the three structures respectively, and further find small biases and narrow limits of agreement between the two assessments (manual, automatic) of volumes and mass. Our results show promise for the fully automated analysis of the CMR data stream in the near future.
Firm characteristics and export performance in Portuguese wine firms

Purpose The purpose of this paper is to contribute to the determinants of export performance literature. The authors investigate the effect of firm characteristics on the Douro region wine firms export performance. The authors consider the Douro region, as it has the Portugal highest wine classification, the appellation d’origine contrôlée and undertakes the first position in the Portuguese wine production and export. Design/methodology/approach The authors apply a pooling cross-sectional data set that includes 427 observations. The authors pooled two cross sections consisting of 214 and 213 firms for the years 2014 and 215, respectively. The firm export intensity and propensity are the dependent variables. Moreover, the firm size, age and productive efficiency are accounted as the firm characteristics. The authors use the ordinary least squares regression and the tobit and probit models for estimations. Findings First, size is an influential factor to improve the export performance, and the importance of size is higher for younger firms. Second, there is a positive response from export intensity to age and this response is higher for smaller firms. However, there is a negative response from the export propensity to age and this negative response is higher for bigger firms. Third, there is weak evidence to support a relationship between efficiency and export performance. Research limitations/implications This research and the presented results are undoubtedly under some limitations. The main limitation is about the data availability for all characteristics of a firm. For example, it will enrich the result if the authors add some other important variables such as production cost, research and development expenditure and the quality of produced wine by each firm to our analysis. Originality/value This research reveals that the influence of firm characteristics on the export performance of Portuguese wine firms is missing in the literature. The results provide a basis to Portuguese wineries to improve their export performance by applying the relevant strategies.
Assessment of Knowledge and Attitude of Dentistry Professors, Residents, and Interns Towards Medical Emergencies at the Dental Faculty of Hamadan University of Medical Sciences

1 Associate Professor, Department of Pediatric Dentistry, Faculty of Dentistry, Hamadan University of Medical Sciences, Hamadan, Iran 2 Assistant Professor, Department of Pediatric Dentistry, Faculty of Dentistry, Alborz University of Medical Sciences, Alborz, Iran 3 Associate Professor, Department of Anesthesiology, Faculty of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran 4 Assistant Professor, Department of Community Oral Health, School of Dentistry, Alborz University of Medical Sciences, Alborz, Iran
Characteristics and Aquaculture Information Needs of Crayfish Farmers in Akwa-Ibom State, Nigeria

ABSTRACT This study investigated the characteristics and aquaculture information needs of crayfish farmers in Akwa-Ibom State of Nigeria. Ninety crayfish farmers formed the sample for the study. Percentage, mean score, and multiple regression were used in data analysis. The findings show that the respondents had no extension contact and no access to crayfish and agriculture-related information. Information on adaptation to the effects of climate change on aquatic animals, especially crayfish, was needed by these farmers. Primary occupation, monthly income from crayfish enterprise, household size, and number of extension contacts were determinants of output on crayfish. The restriction of fishing activities on traditional festival days was a challenge, while the use of modern boats and durable nets were strategies for improving harvesting of crayfish.
The impact of corporate life cycle on the capital structure of German listed companies

In this research, the relationship between corporate life cycle and capital structure of German listed non-financial companies is examined. The corporate life cycle is divided into Growth, Maturity and Decline life cycle stages. Both ordinary least squares (OLS) and fixed effects regressions are conducted in order to examine the direct impact of the corporate life cycle stages on the capital structure of the German listed non-financial companies in the period of 2009 until 2017. The final sample of this research consists of 361 listed German non-financial companies. The main findings of this research support partially the predictions that the leverage ratios will follow a U-shaped (high-low-high) pattern along the corporate life cycle of the sample companies. Therefore, this research extends the life cycle literature by directly examining the role of corporate life cycle in influencing the capital structure. There is namely little research conducted with a focus on the direct impact of the corporate life cycle stages on the capital structure of the companies.
Public and Reputational Sanctions: The Case of Cartels

In this article, we revive an old debate in the law and economics literature: the relative role of public and private (market-based) sanctions in deterring misconduct. We offer a novel framework, which accounts for public sanctions and a more direct measure of private sanctions, harnessing recent developments in opinion mining. We use the intensity and the sentiment of media exposure of misconduct as a measure of reputational effect and thus an approximation of the private sanction. As a demonstration, we combine event study techniques, sentiment analysis, and classic econometrics on a sample of 339 listed cartel member firms, prosecuted by the European Commission between 1992 and 2015. We offer evidence that in the context of cartels, public and private sanctions act as substitutes.
Modeling purchase intention towards edible bird's nest products among Malaysians.

Interests in the nutraceutical or food supplement are growing around Asia in response to health and beauty concerns. Nutraceutical supplements seem to dominate the Malaysian market as the awareness of health conscious arise. The consumptions of these nutraceutical products are to cover insufficient nutrient in their diet intakes. Edible bird nest (EBN) is made from saliva produced by the male’s swiftlet and been consumed as a health supplement due to their high nutritional value. Despite an ever-growing number of EBN products and options available in the market, there are still fewer purchasers among Malaysian consumers as compared to other countries. This study aims to determine factors that influence consumers’ intention in purchasing EBN products. The number of complete response from the survey were 1310 samples. The questionnaire includes nine variables that are determined from the theory of planned behavior and marketing mix. Exploratory factor analysis with promax rotation is conducted to remove items with factor loading less than 0.5 and confirmatory factor analysis is constructed to measure the fitness of the model so that it can be used in predictive models. The three popular classification algorithms from predictive models which are decision tree, logistic regression, and artificial neural network will be used to analyze the dataset and determined the best model building. These comparisons are highly evaluated based on the prediction performance and it does not conclude that one method will be superior to other predictive methods. Results showed logistic regression outer perform other classifiers to develop the purchase intention model. There are five variables identified which consist of age, gender, price, accessibility and halal authorize. This study provides an input of consumers’ concern and interest that can be used as a strategic tool and give special attention to those elements to promote the EBN products.
Incentive scheme and productivity in microfinance institutions in Benin

This article aims to analyze the productive effects of financial and non-financial incentive in microfinance institutions in Benin. We estimate a Cobb-Douglas production function augmented by the Incentive Scheme on an unbalanced panel of 14 registered MFIs over the period 2007-2017. The findings of this study show that non-financial incentives positively impact the outreach whereas the financial incentives have a negative effect on outreach. They further suggest that a well-designed incentive scheme is a powerful tool to overcome free riding and other asymmetric information problems in a costly monitoring environment.
INNOVATION, PROCESS CAPITAL AND FINANCIAL PERFORMANCE: MEDIATING ROLE OF MARKETING PERFORMANCE (EVIDENCE FROM MANUFACTURING INDUSTRY IN INDONESIA)

Purpose of the Study: This paper aims to investigate the mediating role of marketing performance on innovation-financial performance relationship as well as on process capital-financial performance relationship using the publicly listed manufacturing firms on the Indonesia Stock Exchange (IDX). Methodology: This is a quantitative research employing marketing performance as the mediation variable. A mediation research model is constructed to test the hypotheses of this research using the Partial Least Squares Structural Equation Modeling. A new data set is prepared which involves the publicly listed manufacturing companies on the IDX covering a period of thirteen years from 2005 to 2017. Main Findings: The results of this research provide the following empirical evidence. Firstly, marketing performance partially mediates the relationship between innovation and financial performance. Secondly, marketing performance fully mediates the relationship between process capital and financial performance. Conclusion: This study provides a better understanding of managers regarding the mechanism of how innovation affects financial performance via marketing performance as well as on the mechanism of how to process capital affects financial performance via marketing performance. Application/Implication: This study implies that managers need to continuously innovate, improve manufacturing processes, and enhance marketing management to achieve better financial performance.