• Economic and Environmental Geology
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• v.41 no.5
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• pp.551-562
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• 2008

Option pricing model in finance has been applied to price non-financial options, called real options. The real option valuation method is ideally suited to irreversible decision making under uncertainty, including the need to determine the optimal time to act and even change between alternative courses of action as information is collected. Therefore, the real option valuation method is expected to provide a superior and less subjective approach to determining optimal strategies for water resources supply projects, which have been reported to have huge risks due to uncertainties, and investors and policy makers need to build an optimal strategy - when and if to invest - with uncertainties and managerial flexibilities considered.

• Asian-Australasian Journal of Animal Sciences
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• v.28 no.7
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• pp.926-935
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• 2015

The efficiency of genome-wide association analysis (GWAS) depends on power of detection for quantitative trait loci (QTL) and precision for QTL mapping. In this study, three different strategies for GWAS were applied to detect QTL for carcass quality traits in the Korean cattle, Hanwoo; a linkage disequilibrium single locus regression method (LDRM), a combined linkage and linkage disequilibrium analysis (LDLA) and a $BayesC{\pi}$ approach. The phenotypes of 486 steers were collected for weaning weight (WWT), yearling weight (YWT), carcass weight (CWT), backfat thickness (BFT), longissimus dorsi muscle area, and marbling score (Marb). Also the genotype data for the steers and their sires were scored with the Illumina bovine 50K single nucleotide polymorphism (SNP) chips. For the two former GWAS methods, threshold values were set at false discovery rate <0.01 on a chromosome-wide level, while a cut-off threshold value was set in the latter model, such that the top five windows, each of which comprised 10 adjacent SNPs, were chosen with significant variation for the phenotype. Four major additive QTL from these three methods had high concordance found in 64.1 to 64.9Mb for Bos taurus autosome (BTA) 7 for WWT, 24.3 to 25.4Mb for BTA14 for CWT, 0.5 to 1.5Mb for BTA6 for BFT and 26.3 to 33.4Mb for BTA29 for BFT. Several candidate genes (i.e. glutamate receptor, ionotropic, ampa 1 [GRIA1], family with sequence similarity 110, member B [FAM110B], and thymocyte selection-associated high mobility group box [TOX]) may be identified close to these QTL. Our result suggests that the use of different linkage disequilibrium mapping approaches can provide more reliable chromosome regions to further pinpoint DNA makers or causative genes in these regions.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.3
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• pp.211-221
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• 2020

This study aims to analyze the effect of structural Person-Organization Fit and organizational justice on organizational commitment, job satisfaction, Organizational Citizenship Behavior and employee performance. This study is based on a quantitative approach by collecting data using a survey conducted on three SOE's companies in Indonesia that operate in Makassar City, namely Pelindo. Ltd (Port Company), PLN. Ltd (Electric Company) and Pertamina. Ltd (Oil and Gas Company), with a sample of 90 employees. The study population was all non-managerial permanent employees. Data analysis using Structural Equation Modeling. In structural relations, out of the nine direct tests, there were two insignificant relationships, and in all three hypotheses there was one not-supported hypothesis. When compared between person-organization Fit and Organizational Justice, it is found that organizational justice has a more critical role in building Human Resource performance compared to Person-Organization Fit, because organizational justice is better able to provide job satisfaction and make organizational commitment and OCB as a prerequisite for its formation to better Human Resources performance. With organizational justice, employees will feel more satisfied working, committed to the work and organization, and behaves as a supportive organizational citizen for the realization of the best performance for the interests of the organization going forward.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.1
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• pp.183-193
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• 2020

This study presents a more comprehensive approach to investigate how Emotional Intelligence (EI) is associated with performance. Previous research has revealed that EI is related to positive outcomes such as better performance, life satisfaction and career success. However, in most research of EI, this factor has been investigated independently from the effect of contextual factors and other individual characteristics. This study extended the research on the impact of EI on student performance by simultaneously examining the impact of EI, individual factors - (1) Perseverance of Effort, (2) Goal Consistency and (3) Goal Clarity and learning environment factors - Program Fit in one study. The results based on the data collected from 1,117 students in Vietnam largely support the hypothesis that that EI was an important but not the only factor affecting the student performance. MANOVA and post-hoc analysis indicated that both individual and environmental factors better predicted performance than EI could. These results suggest that the impact of EI on individual performance is more complicated than what we have already known. Future study is encouraged to investigate both the mechanism through which EI impact individual performance and the interaction between EI and other factors that moderate the EI - performance relationship.

• Journal of the Korean Data and Information Science Society
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• v.24 no.6
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• pp.1113-1125
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• 2013

Corporate bankruptcy prediction has been an important topic in the accounting and finance field for a long time. Several data mining techniques have been used for bankruptcy prediction. However, there are many limits for application to real classification problem with a single model. This study proposes ensemble SVM (support vector machine) model which assembles different SVM models with each different kernel functions. Our ensemble model is made and evaluated by v-fold cross-validation approach. The k top performing models are recruited into the ensemble. The classification is then carried out using the majority voting opinion of the ensemble. In this paper, we investigate the performance of ensemble SVM classifier in terms of accuracy, error rate, sensitivity, specificity, ROC curve, and AUC to compare with single SVM classifiers based on financial ratios dataset and simulation dataset. The results confirmed the advantages of our method: It is robust while providing good performance.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.697-706
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• 2020

The relationship between education and work is of the greatest concern to individuals and society because they are the key drivers of growth and development. In the context of Industry 4.0, labor and educators are facing the challenges of big changes in the workplace. How to prepare undergraduate students for the world of employment has become the most important mission of higher education providers. This paper explored the competency gap in the labor market in Vietnam from the perspective of employees who have been dissatisfied with the current status. First, a qualitative method with the Delphi technique was applied to confirm this consensus in an employees' competency model. Then, the satisfaction level for each competency criterion was explored by applying the advance quantitative method, namely, best non-fuzzy performance approach. Lifelong learning was ranked first, followed by creativity and innovation, foreign languages, expertise and digitalization, adaptability, and finally, organizing and managing ability. Critical thinking and problem-solving were perceived to have the biggest gap. The order of competency satisfaction is useful in explaining the mismatch between education quality and labor market demand. The findings provide valuable guidelines for education managers who seek to bridge the competency gap and improve education quality.

• The Korean Journal of Applied Statistics
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• v.32 no.6
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• pp.889-898
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• 2019

The problem of missing value imputation for variables in surveys that include item missing becomes complicated if outliers and logical boundary conditions between other survey items cannot be ignored. If there are outliers and boundaries in a variable including missing values, imputed values based on previous regression-based imputation methods are likely to be biased and not meet boundary conditions. In this paper, we approach these difficulties in imputation by combining various robust regression models and multiple imputation methods. Through a simulation study on various scenarios of outliers and boundaries, we find and discuss the optimal combination of robust regression and multiple imputation method.

• Journal of Digital Convergence
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• v.13 no.2
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• pp.23-34
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• 2015

The purpose of this study is to analyze comprehensively Jeju Self-Governing School Policy (JSSP) by using the four dimensional views of policy theory frame and to suggest its improvements. The results are as follows: First, JSSP should improve differentiation of curriculum and locality centered on local basis, wide application of the special laws, and professional accountability. Second, JSSP should improve the policy structure of educational governance and differentiated standard of students achievement assessment, resolve equity issue, and secure the self-finance of the schools. Third, JSSP should improve localization of educational administration, administrative and financial support for teachers, parent's empowerment, and students understanding of the policy, and expand principal invitation system, Fourth, JSSP should improve public relations, the roles of the Council and professionalism of assessors, and adopt efficiency approach into the assessment system.

• Information Systems Review
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• v.6 no.2
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• pp.209-225
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• 2004

This study shows the field of construction which was less developed in the aspect of information system in comparison to other areas needs to introduce construction information system and suggests it can make more value linked with company performance through the system. For the first step, it emphasizes the integrated enterprise approach not optimization of each sector in a company. This paper extracts the current issues of construction information from the core process of construction area and implies a driving plan and the future development plan for construction information. Antecedent studies for this drew the information structure model and the construction information-driving model of a construction company. Hence, case studies with management companies that implemented the construction information system successfully tested validity. This research brings the cases of PMS, the integrated finance system, and CRM system as successful ones.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.1041-1047
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• 2020

The intention of this paper is to give a better understanding about the implementation of sustainable manufacturing practice in the textile companies in Indonesia as one of the promising sectors in the manufacturing industry. The data was collected by taking a case study approach in one of the leading textile companies in Indonesia. Questionnaire and interview techniques were used to gather in-depth information about the implementation of a sustainable concept in the company. The result reveals that the extent of the implementation of Sustainable Manufacturing Practices (SMP) in the companies are at a level of moderate to high. From the three dimensions measured which are environment, economy, and social dimensions, the evaluation result shows good performance in terms of the implementation of sustainable concepts, like low level of gas emission, high percentage of renewable energy usage, cost reduction rate, high quality of life, etc. From this result, the authors then develop a sustainable manufacturing model in the wider coverage to be implemented not only in the textile industry but is expected to be implemented in manufacturing sectors as well. This model consists of at least seven basic archetypes which are divided into three dominant areas: technological innovation, economical, and social areas which aim to bring better performance in the manufacturing industry of Indonesia.