• Journal of the Daesoon Academy of Sciences
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• v.30
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• pp.201-234
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• 2018

'Woori Philosophy' is the modern philosophy of Korea. The purpose of this study is to make a hypothetical model of the methodologies used in Woori Philosophy, to analyze and classify this system of thought as it appears in the Jeon-gyeong (『典經』), to confirm the effectiveness of the model's application, and to present the model's methodological best practices. In this paper, I have made a standard for Woori Philosophy by combining existing studies. Thereby, although it is preliminary, I have presented the model as a way of achieving Woori philosophy by analysis and division of this thought in the Jeon-gyeong. As a result, the Jeongyeong's content is organized into an order in frequency which emerges as Model②, Model①, Essential Model, Model④, and Model③. These models can be evaluated to show that the Jeon-gyeong progressively inherited different schools of traditional Korean thought, while simultaneously characterizing them as Korean in many areas, never ignored the problems of the times or an awareness of the world, and furthermore, did not senselessly or blindly accept foreign objects spread into Korea from 1880~1890. Therefore, the Jeon-gyeong shows a comprehensive methodology for the implementation of Woori philosophy based on its own historical setting. It can be evaluated as the best practices which took many ideas and made those ideas its own. Through this, I was able to confirm its effectiveness as a methodology of Woori Philosophy and was able to extract its best practices. However, the ideas in the Jeon-gyeong did not directly become Woori Philosophy. To solve our problems in the 21st century, there is still an assignment to interpret these ideas through the application of this model. If the existing research on Daesoon Thought (大巡思想) is to become Woori Philosophy, then it should do so through the application of this model.

• Transactions of Materials Processing
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• v.9 no.6
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• pp.598-603
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• 2000

In order to improve trial-and-error based conventional practices for optimizing forming processes, a direct design method to guide iterative design practices, called the ideal forming theory, has been previously developed. In the theory, material elements are required to deform following the minimum Plastic work Path. The theory can be used to determine the ideal initial blank shape needed to best achieve a specified final shape while resulting in optimum strain distributions. In this work, the direct design method based on the ideal forming theory was applied to design initial design shape for VCR deck chassis. Based on the solution of the ideal forming theory, FEM analysis was utilized to evaluate an optimum blank shape to be formed without tearing. Simulation results are in good agreement with experimental data. It was shown that the proposed sequential design procedure based on direct design method and FEM can be successfully applied to optimize the die design Procedure of sheet metal forming processes.

• Journal of Research and Publication Ethics
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• v.4 no.1
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• pp.23-29
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• 2023

Purpose: While prior research has identified ethical issues in marketing research, more research needs to identify specific ethical behaviors that marketing researchers should adopt. This research addresses this gap by identifying a few ethical behaviors that marketing researchers should consider. Research design, data and methodology: The present study has a justification to collect adequate textual data in the current literature using screening process based on the marketing ethics topics and themes, and ethical behaviors of marketing researchers. Results: Based on the literature analysis, a marketing ethics model, which included the principles of fairness, honesty, responsibility, and respect for stakeholders. Since the rise of e-commerce and technology, a growing demand for a method to analyze website user behavior has been growing. Researchers in the field of marketing are responding to this demand by creating innovative interactive platforms. Conclusions: The term "ethical practices in market research" refers to a collection of best practices that, when followed, increase the likelihood that the research carries out is ethical, fair, and accurate. Because there needs to be more theoretical work done on the topic, there should be more empirical studies on ethical behaviors in marketing research.

• Journal of the military operations research society of Korea
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• v.31 no.1
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• pp.73-92
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• 2005

The SCOR(supply chain operations reference) model which is a management tool, has been developed to describe the business activities associated with all phases of satisfying a customer's demand. The model is able to successfully describe and provide a basis for supply chain improvement. In this paper, we review the SCOR model, the present status of the Korean defense logistics system, and suggest an application of the model for the integrated defense logistics system.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.209-214
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• 2024

This is an extended research paper focusing on the applications of Machine Learing and Artificial Intelligence in virtual learning environment. The world is moving at a fast pace having the application of Machine Learning (ML) and Artificial Intelligence (AI) in all the major disciplines and the educational sector is also not untouched by its impact especially in an online learning environment. This paper attempts to elaborate on the benefits of ML and AI in E-Learning (EL) in general and explain how King Khalid University (KKU) EL Deanship is making the best of ML and AI in its practices. Also, researchers have focused on the future of ML and AI in any academic program. This research is descriptive in nature; results are based on qualitative analysis done through tools and techniques of EL applied in KKU as an example but the same modus operandi can be implemented by any institution in its EL platform. KKU is using Learning Management Services (LMS) for providing online learning practices and Blackboard (BB) for sharing online learning resources, therefore these tools are considered by the researchers for explaining the results of ML and AI.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.74-82
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• 2022

Improving long-term performance in highway projects is an imperative goal for public administrations. Project delivery and procurement methods might provide an opportunity to align design and construction processes with this goal. Previous studies have explored whether project delivery methods impact the long-term performance of highway projects. However, these studies did not focus specifically on how core elements within the procurement might relate to long-term performance. Thus, this research aims to fill this gap by exploring to what extent and how long-term evaluation criteria are considered in design-build best-value procurement of highway projects. To this end, content analysis was conducted on 100 projects procured between 2009 and 2019 by 19 DOTs across the U.S. The analysis of 365 evaluation criteria found that (1) roughly 11% of them related to long-term performance. (2) The weight given to these criteria in the overall technical proposal was lower than 30%. (3) Sixty-five percent (65%) of long-term evaluation criteria focused on design while 15% related to materials and technology, respectively. The results of this study are a first steppingstone to initiate a deep exploration of the relationship between procurement practices and actual project performance. Currently, with sustainability and life cycle assessments being top concerns in infrastructure projects, this line of research might be of particular interest to DOTs and highway agencies across the U.S. and worldwide.

• Journal of Veterinary Clinics
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• v.32 no.1
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• pp.78-84
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• 2015

Although researches have highlighted the important role of enhanced farm biosecurity to reduce the severity and prevalence of diseases in livestock, to date there has been little study in Korea on farmers' adoption of biosecurity measures to control porcine reproductive and respiratory syndrome virus (PRRSV) infection. To mitigate the risk of PRRSV infection in pigs, the risk factors by which PRRSV is introduced in pig farms must be determined. The primary aim of this study was to investigate pig producers' perceptions about on-farm biosecurity practices. We also analyzed data obtained from a cross-sectional study on 196 farrow-to-finish farms conducted between March 2013 and February 2014 to identify risk factors for PRRSV infection at farm level. Standardized questionnaires with information about basic demographical data and management practices were collected in each farm by on-site visit of trained veterinarians. Farms were classified as negative or positive through the use of infection profiles that combined data on PCR positive pigs and serological testing including antibody titer, sero-conversion pattern at each age category, and vaccination status. Data on biosecurity practices, farm management and environmental characteristics were analyzed using multivariate ordinal logistic regression. Generally, the biosecurity level in the pig farms included in this study were insufficient to reduce/prevent the risk of PRRSV infection given the high pig density areas and the considerable extent of vehicle movement. Factors associated with PRRSV infection were those where owners used on-farm vaccination programs had a lower risk of infection (OR = 0.19, 95% CI 0.06-0.61). The results from the analysis may guide to tailor biosecurity measures in the reduction or prevention of PRRS to the specific circumstances of pig farms in different localities of the world. To the best knowledge of the authors, this is the first study to report information on the biosecurity practices currently implemented on Korean pig farms.

• Information Systems Review
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• v.10 no.1
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• pp.135-164
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• 2008

This research is to offer a structured yet practical ex-ante evaluation methodology for IT investment. Benchmarking the best practices of four Korean organizations, we try to integrate core processes, relevant measures, and evaluation dimensions into a consistent and wholesome body of evaluating methodology. The best practices we considered encompass a wide range of business enterprises, including for-profit, non-profit, service-oriented, and manufacturing entities. The proposed methodology consists of three stages; the first stage checks the validity of investments by looking into comprehensiveness of planning, willingness to accomplish, justifiable grounds for the investments, overlapping investments, and obstructing risks; the second do so by putting an IT investment into economic, strategic, and technological perspectives; and the last third would produce a unified quantity that summarizes outcome of the previous stages. Incorporating the proven knowledge, guidelines, and quantifying tools, the methodology could make a valuable reference model for IT evaluation practitioners who have been bedeviled by having to going through such ex-ante evaluations.

• Korean Journal of Social Welfare
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• v.40
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• pp.131-156
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• 2000

Many different intervention methods have been developed to resolve the problem of clients, but research studies evaluating the effectiveness of such practices can be overwhelming to social workers because of the conflicting results of them. In this study, meta-analysis was used to make sense of this research, offering the general effect size of social work practice. Meta-analysis can answer the question, "how effective is the intervention?" beyond the question, "is the intervention effective?". It can integrate the fragmentated results of research studies and provide the guidelines for best practice. Combining the results of the 16 research studies, this study computed the general effect size of social work interventions. The mean d index was. 6636 (95 percent confidence interval of .5355, .8018). Conversion to Cohen's $U_3$ statistics allows for the inference that three-fourths (74.7%) of the clients who participated in an intervention group did better than the average clients of non-intervention group. This means that social work interventions are practically helpful to seven of every 10 clients who experience them. In conclusion, this study recommended the usefulness of meta-analysis, which can provide the intervention strategies based on empirical research and guide the best approaches.

• Journal of Ocean Engineering and Technology
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• v.34 no.3
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• pp.208-216
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• 2020

The Integrated Offshore Standard Specification (IOSS) involves Korean shipyards, classification societies, research institutes, the Korean industrial society, engineering companies, and oil companies with the objective of reducing costs and risks without compromising safety in international offshore engineering procurement construction (EPC) projects using new standardized bulk components and qualification procedures. The activities of the IOSS include the analysis of the existing rules and regulations to achieve the best standardization, which is reflected in the best practices, and minimize the variables in regulations and rules. In addition, a standard inventory of shapes and dimensions, referred to as specifications, is proposed in the IOSS. In this paper, the aluminum tertiary standardization part (IOSS S102-1/2 S104: Specification for Structural Tertiary Design) is presented with the details of the procedures, background reviews, and cost-benefit analyses of the design and verification methods for standard designs in the IOSS standardization items. Based on the cost-benefit analysis, the application of standardized aluminum tertiary items to offshore projects has significant advantages in terms of maintenance and repair compared to the carbon steel tertiary items utilized in current industrial practices.