• International Journal of Computer Science & Network Security
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• v.21 no.12
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• pp.219-222
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• 2021

The study shed the light on the information required by Governance Principles and Corporate Social Responsibilities of human resources department from the point deans' perspectives of BA colleges during the discussion the publication of studies that academic members earlier submitted in many journals as authors of similar studies talking about business schools and CSR in Saudi Arabia universities. The study sample was the deans of business schools in northern border university and interviews were used to collect data. Findings showed that CSR in business colleges within an integrated set of research products in the human resource that he owns, support the mechanisms of social services from a purposeful pioneering and creative perspective. In addition, the success of business administration colleges in preparing these cadres depends on the college's senior leadership represented by its dean and its administrative policy to motivate academic staff and students to develop the CSR and governance.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1995.04a
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• pp.600-600
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• 1995

• Asia pacific journal of information systems
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• v.32 no.4
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• pp.945-963
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• 2022

With the widespread use of social media, online social platforms like Twitter have become a place of rapid dissemination of information-both accurate and inaccurate. After the COVID-19 outbreak, the overabundance of fake information and rumours on online social platforms about the COVID-19 pandemic has spread over society as quickly as the virus itself. As a result, fake news poses a significant threat to effective virus response by negatively affecting people's willingness to follow the proper public health guidelines and protocols, which makes it important to identify fake information from online platforms for the public interest. In this research, we introduce an approach to detect fake news using deep learning techniques, which outperform traditional machine learning techniques with a 93.1% accuracy. We then investigate the content differences between real and fake news by applying topic modeling and linguistic analysis. Our results show that topics on Politics and Government services are most common in fake news. In addition, we found that fake news has lower analytic and authenticity scores than real news. With the findings, we discuss important academic and practical implications of the study.

• Asian Journal of Business Environment
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• v.13 no.4
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• pp.1-6
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• 2023

Purpose: To explore the application prospect of support vector machine (SVM) in supply chain management and its practical application in supply chain performance evaluation practice. Research design, data and methodology: This paper establishes the performance evaluation index system of supply chain management according to the balanced scorecard (BSC) theory, and establishes the SVM model of supply chain management performance evaluation based on the SVM principle. Results: The performance evaluation results of the supply chain of an electric power equipment Co., Ltd. in Harbin established by using the model are consistent with the actual situation, which indicates the nature and accuracy of the possible reflection of the established supply chain performance evaluation model. Conclusions: The results show that SVM model can be used to evaluate enterprise supply chain management performance indicators, and can improve enterprise supply chain management performance, thus demonstrating the effectiveness of the model.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.2
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• pp.85-91
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• 2011

The objective of this research is to analyze the effects of quality management system constructed by ISO 9001 certificates through BSC perspectives. Evaluation of quality management system based on BSC framework can consider short-term financial performance as well as nonfinancial performance characteristics, which will derive future financial results. This results show that QMS has an indirect effect on business performance through quality performance and customer satisfaction, which are internal business process and customer perspective, rather than have direct effects on financial performance. Finally we suggest implications of this study and future research direction.

• Proceedings of the CALSEC Conference
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• 2004.02a
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• pp.355-377
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• 2004

Mobile business, noticed as a constructive alternative for e-commerce and e-business, has been diversely defined and conceptualized. This study develops a comprehensive framework for the sake of clearing such a havoc of conceptual deluge. The framework for the comprehensive understanding of e-business (including m-business) consists of two dimensions： connectivity and mobility. These two dimensions represent to overcome the constraints of time and place in business transactions, respectively. Various cases for each combination of these two components are explained for clear understanding of this framework. By this framework, we can understand the value that Location-Based Service (LBS) brings anew to e-business services.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.4
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• pp.81-95
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• 2020

The main objective of this research is to investigate the impact of board size and board composition on financial performance of banks. The sample of this study consists on two countries listed bank sector Pakistan and China. The annul data is used from 2009-2018 to find the objective of this study. The Panel regression model is used to check the relationship between dependent and independent variables. Return on Asset and Return on Equity is used as performance checker dependent variables. The results of this study confirm board size coefficient value positive for ROA and negative for ROE but shows insignificant behavior for Pakistani banking sector while in Chinese banking sector the coefficient value of board size positively for ROA and ROE at 10% level. The board composition coefficient shows the negatively significant with ROA but insignificantly related to ROE for Pakistani banking sector. However, in Chinese banking sector the coefficient value of board composition is insignificant for both ROA and ROE. This study is helpful for banks, management of banks, policy makers, researcher as well as Government.

• Asia pacific journal of information systems
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• v.26 no.2
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• pp.263-267
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• 2016

• Journal of Korean Society for Quality Management
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• v.36 no.1
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• pp.20-30
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• 2008

Nowadays many countries in the world have been implementing TQM which is originated from Japanese management style. There are many research results that TQM has a positive influences on business results. But the levels of implementing TQM are different by countries. The domestic competitors and the customers, who have the great influences on business results are also quite different. Therefore the levels of TQM in some company and the influences of TQM factors on business results are supposed to be different by countries. The situations of the countries lying on the more developed stage will be a good benchmarks for the countries on following stages. There are few researches on this cross countries analysis. This paper do the empirical study on the effects of TQM factors on business results between Korean and Japanese small or medium sized manufacturing companies. First, the levels of TQM are compared between countries. Second, what key success factors among TQM ones are for business success is analyzed for each country and compared between two countries. This study will help to plan the road maps in TQM journey for the Korean companies.

• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.19-36
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• 2011

Since the ambitious declaration of the vision of the Semantic Web, a growing number of studies on semantic search have recently been made. However, we recognize that our community has not so much accomplished despite those efforts. We analyze two underlying problems : a lack of a shared notion of semantic search that guides current research, and a lack of a comprehensive view that envisions future work. Based on this diagnosis, we start by defining semantic search as the process of retrieving desired information in response to user's input using semantic technologies such as ontologies. Then, we propose a classification framework in order for the community to obtain the better understanding of semantic search. The proposed classification framework consists of input processing, target source, search methodology, results ranking, and output data type. Last, we apply our proposed framework to prior studies and suggest future research directions.