• Asia pacific journal of information systems
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• v.30 no.4
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• pp.719-740
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• 2020

The stock market changes continuously as new information emerges, affecting the judgments of investors. Online news articles are valued as a traditional window to inform investors about various information that affects the stock market. This paper proposed new ways to utilize online news articles with technical indicators. The suggested hybrid model consists of three models. First, a self-attention-based convolutional neural network (CNN) model, considered to be better in interpreting the semantics of long texts, uses news content as inputs. Second, a self-attention-based, bi-long short-term memory (bi-LSTM) neural network model for short texts utilizes news titles as inputs. Third, a bi-LSTM model, considered to be better in analyzing context information and time-series models, uses 19 technical indicators as inputs. We used news articles from the previous day and technical indicators from the past seven days to predict the share price of the next day. An experiment was performed with Korean stock market data and news articles from 33 top companies over three years. Through this experiment, our proposed model showed better performance than previous approaches, which have mainly focused on news titles. This paper demonstrated that news titles and content should be treated in different ways for superior stock price prediction.

• 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.

• The Journal of Society for e-Business Studies
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• v.18 no.2
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• pp.69-79
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• 2013

Management activities of Business was globalization and had changed to a global management. Under these circumstances, business management factors and the environment has changed rapidly. Accordingly, the number of risk categories in business has increased. Especially in recent years, the convergence of industry with IT has a pivotal role in the industry's business processes. However, information systems in the Internet environment increased the efficiency of business management. Also, it increased the degree of risk and the occurrence ripple effects. In this study, we proposed risk management framework for ensuring business continuity management in information system based automobile manufacturing industry. In detail, we analysis business process in automotive manufacturing industry and identify information assets and we analysis and assess the risk.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.293-295
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• 2015

This paper proposed have been the business card information to the computer when creating business card printing agency saved to a file, there is always the risk of personal information leakage. Application file organization information into the card, the name, phone number, email address information, such as is capable of easily accessible because it is not encrypted. This paper proposed it encrypts the information entered on the Business Card application file to automate the process of the card application and simplifying the business card application process minimizes the work of staff and linked directly to the print shop how to automatically delete the print file after the completion of business card printing and research.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.2
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• pp.427-438
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• 2021

This study aims to identify variables, which have relationship to the information credibility toward brand trust. Other than that, this study also proposes a system dynamics approach method, where the time to achieve different credible information can be modeled efficiently and by using variable-oriented simulation methods. Data, which are used for testing, are derived from 400 questionnaires. Data for SEM are collected by using questionnaire and are processed using AMOS software to identify the result whether it is proper to determine the proper variables and the indicators, which will be processed in the simulation using Powersim. The result shows that, from six variables proposed, five are significant variables that support the information credibility. The value of information credibility has fluctuated in 10 years. The important aspect in business activity is a business strategy that incorporates marketing activities. Many companies are adopting green marketing practice to achieve a better business performance, so that information credibility factor is needed. Over the past few years, numerous industries in Indonesia have increased awareness toward green movement. Some companies apply the whole process of creating green products, while others only do so partially, but this is a good approach to green business development in Indonesia nonetheless.

• Management & Information Systems Review
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• v.1
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• pp.167-191
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• 1997

1. Today mass communication informs us of the unethical behaviors of business almost everyday and the social interest about them including individuals implicated in loss and gain grows larger. It is the real aspect that business manager and scholars do not cope with the situation. 2. Five business ethical scales as justice theory, relativism, egoism, utilitarianism, deontological theory and information ethics were applied to this thesis. 3. Hypothesis : There will he a difference in the response on five ethical scales and the recognition degree of information ethics with consumers. 4. The response on five ethical scales with the sex of consumers showed a significant difference but that with the age showed a little difference that with the academic career showed a significant difference in justice theory, relativism, utilitarianism and deontological theory 5. The recognition degree of information ethics with the age and academic career of consumers showed a significant difference and the hypothesis was accepted, but that with the sex showed a little difference.

• Journal of Korean Institute of Industrial Engineers
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• v.29 no.1
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• pp.100-113
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• 2003

In order to improve business competency by the IS(Information Systems), every enterprise needs to evaluate the current level of IS performance and their utilization. The evaluation that measures the performance of enterprise information systems and diagnoses their effectiveness of business goals and efficiency of resources should represent the useful informations based on sustainable goal-oriented viewpoints to managers. This work develops an integrated evaluation system for continuous maturity of information systems performance, enabling enterprises to achieve their goals of information systems and related business strategies. The integrated evaluation system has been applied to performance measurement of information systems with a huge set of real data from domestic industries for three years, and proven reliable and practical.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.4
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• pp.648-655
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• 2018

Our government has concentrated its policy capabilities on Software industry in order to realize software-centric society. Through such efforts, software industry has developed continuously. As well, it has been a high-valued industry by the association with other various industries, so its importance has been great and its market has grown explosively. However, owing to the hasty support policies focused on software industry, various problems and adverse effects, such as the decline of construction quality due to the confusion of business operator selection and the business area conflict, has occurred. Therefore, in this thesis, I will find the problem and its cause about software support policies and relevant laws according to rapid market change, and will suggest the improvement plan about them. So, I intend to minimize the problems associated with the confusion of business operator selection, through the business area clarification(software industry and information communication construction industry) about complex ICT industry.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.256-259
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• 2011

Smart phones mixed with mobile devices and computers are biggest change of information technology and user-installed applications of them provide various information and services which were only possible on PC and Internet in the past. They are expected to be used by ten million people in 2011 and people with disabilities can get easily information and location of disabled facilities using them. In this paper, we design a mobile information service system for person with disabilities, which provides various information and location of disabled facilities. We build information of disabled facilities using acquisition information through existing web sites and provide location based service with user's location.

• The Transactions of the Korea Information Processing Society
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• v.6 no.9
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• pp.2373-2383
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• 1999

Recently, due to the popularity of object-oriented programming languages, object-oriented modeling and development methodologies become widely applied to information system development. When object-oriented methodology is adopted, using object-oriented modeling languages for business analysis and redesign has the advantages such that business modeling results can be easily understood and referred by information system developers. In this paper, UML-B, Unified Modeling Language extension for Business modeling is proposed, which uses UML notation for modeling organization structure, actors, use cases, business processes, and entities in business systems. It also utilizes extension mechanisms of UML to facilitate business modeling activities, and supports business process reengineering with object-oriented modeling.