• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.459-462
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• 2008

The formation of partnering between general contractor and specialty contractor is required for sustainable development of construction industry and mutual benefit. General contractors are operating various kind of supporting program for collaboration. Especially, they are focusing on financial supports as a most effective way. This paper presents a framework for analysing financial supports derived from various systems of categorization.

• Korean Management Science Review
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• v.21 no.2
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• pp.167-189
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• 2004

Cooperative and integrative partnerships between buyers and suppliers are very important for effective operations. Such partnerships should be based on various information technologies developed in recent years. Therefore, we investigated the relationship among IT performance, IT infrastructure and supply chain performance in buyer-supplier linkage using exploratory examination. This analysis is based on survey results of buyer-supplier practitioners in Korean electronics industry. Specifically, we used factor analysis, correlation analysis, and regression analysis. Major findings are as follows. First. buyers' IT performance contributed to enhance their operational & financial performance, and satisfaction. Second, buyers' IT infrastructure improved their financial performance and satisfaction but showed mixed effects on operational performance. Third, suppliers' operational performance enhanced buyers' operational & financial performance, and satisfaction. Fourth, suppliers' IT performance strengthened their operational & financial performance, and satisfaction. Fifth, suppliers' IT infrastructure showed positive relationships with operational performance and satisfaction.

• The Journal of Information Systems
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• v.16 no.3
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• pp.109-132
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• 2007

In the paper, we builds an advanced new credit evaluation system for Micro-small sized individual firms through appropriate evaluation factors derived by logistic regression analysis for credit evaluation model using in Korean Federation of Credit Guarantee Foundations, and the weights of factors computed by analytic hierarchy process(AHP). Industry characteristics are more applied to previous credit model with the additional the financial fact-information and non-financial judgement-information. Our results show that the financial factors have become more important than three years ago. Moreover, in the non-financial factors, the fact-information factors consider more important then the judgement-information factors. A new credit evaluation system is developed based on this credit evaluation model.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.891-899
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• 2021

The United Nations' Millennium Development Goals (MDG) has become a goal to create a sustainable life. The MDGs' target was to be achieved in 2015, but it missed that date. The MDGs' target has turned into a Sustainable Development Goals (SDGs) to be achieved by 2030 The SDGs require financial support from companies. Funds are one of the resources to implement the SDGs. Government and private companies need to cooperate in achieving the SDGs target. The company has a responsibility to implement corporate social responsibility. The company's corporate social responsibility is part of the implementation of sustainable development in the SDGs. One of the essential industries that have responsibility for SDGs is the financial industry. This study aims to examine the determinant of corporate social responsibility funds in financial institutions in ASEAN countries. This study uses panel data to test the determinant variables on CSF provision. This study uses 45 sustainable development reports from 2015-2019. The total number of banks in the sample came from three countries, namely, Indonesia, Malaysia, and Thailand. This study concludes that firm size, profitability, efficiency, and the age of the CEO are variables that influence the size of corporate social responsibility funds.

• Industry Promotion Research
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• v.8 no.2
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• pp.21-27
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• 2023

This study studies the policies and use cases of the government and the financial sector for artificial intelligence, and the future policy tasks of the financial sector. want to derive According to Gartner, noteworthy technologies leading the financial industry in 2022 include 'generative AI', 'autonomous system', 'Privacy Enhanced Computation (PEC) was selected. The financial sector is developing new technologies such as artificial intelligence, big data, and blockchain. Developments are spurring innovation in the financial sector. Data loss due to the spread of telecommuting after the corona pandemic As interests in sharing and personal information protection increase, companies are expected to change in new digital technologies. Global financial companies also utilize new digital technology to develop products or manage and operate existing businesses. I n order to promote process innovation, I T expenses are being expanded. The financial sector utilizes new digital technology to prevent money laundering, improve work efficiency, and strengthen personal information protection. are applying In the era of Big Blur, where the boundaries between industries are disappearing, the competitive edge in the challenge of new entrants In order to preoccupy the market, financial institutions must actively utilize new technologies in their work.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.24 no.4
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• pp.705-719
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• 2014

Recently the importance of operational risk is gradually increasing in risk management of financial institute. Especially the service interruption caused by system failure can lead to customer complaints, decrease of profit and customer secession. Thus, financial industry makes diverse effort to minimize the impact caused by the system failure of IT application. Common modules are used in IT system in financial industry to exclude redundant development and to use the system efficiently. However, when a failure in common module is occurred, the risk that affects all the tasks using the common module exists. In this study, the damage affected by a failure in application program is prevented separating common module which has a large risk by task in the perspective of IT operational risk. In order to cope with damage, the research on the factors related to common module is conducted and proposes the separating common module standard for decrease of operational risk of the financial IT.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.5
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• pp.2870-2881
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• 2014

In this study, I empirically analyzed the factors affecting export performance with domestic ICT companies. I set up 3 variables - companies' factors, marketing factors and factors of export supporting system - as the factors affecting export performance, based on findings of precedent studies; and I set up non-financial performance as a dependent variable. As a result of analysis, I found out that companies' factors(market orientation of CEO, competitiveness in export, experience of export) and marketing factors(diversification of overseas market, barriers to marketing), among the variables affecting export performance, were the variables affecting non-financial performance, set up as the export performance; but the factors of awareness, availability and difficulty, set up as the detail factor among factors of export supporting system, do not affect non-financial performance.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.6
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• pp.1563-1583
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• 2018

With the deregulation of electronic finance, FinTech has been revitalized. The discussion on artificial intelligence is active in the financial industry. However, there is a problem of increasing security threats behind new technologies. Security vulnerabilities have increased because we are more connected than before, and the channels and entities of the financial industry have diversified. Although there are technical and policy discussions on security, the essence of all discussions is human. Fundamentals of finance are trust and security, and attention to human factors is important. This study presents the role of human and artificial intelligence for financial security, respectively. Furthermore, this derives a collaborative model in which human and artificial intelligence complement each other's limitations. To support this, it first discusses the development of finance and IT, AI, human factors, and financial security threats. This study suggests that the security threats will intensify in the era of new technology, but it can overcome them by using machinery and technology.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.1
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• pp.573-585
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• 2021

The banking sector is one of the most important sectors in Pakistan's struggling economy. Recent studies have recommended that suitable methods can be applied to predict bankruptcy. In this context, this work analyzes Pakistan's banking sector's financial status through the five-factor Altman Z-score model, which determines the probability of bankruptcy for an organization. Banking data has been collected through the Pakistan Stock Exchange (PSX) in the period 2013-2017. The Z-score assessment criteria is defined as: Z> 2.99 - "safe" zone; Z> 1.8 Z>2.98- "grey" zone; and Z <1.8 - "distress" zone. Results show good predictions for the local banking industry, while most foreign Pakistani banks were found bankrupt with the Z-score below 1.1. One of the financial risks investors face when investing in any company is the risk of bankruptcy. One of the most used models for predicting financial distress for any company is Altman's Z-score model. On the other hand, the Z-score analysis suggests that all banking establishments are not bankrupt because they have sufficient ability to control bankruptcy. At the same time, foreign banks failed financially and would not be able to be sustained in the future because they do not have the ability to pay the short-term and long-term debt.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.1
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• pp.141-154
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• 2022

In the data economy era, various policies are being implemented to create an active data distribution environment. In South Korea, the formation of a big data distribution platform and data trading began with the launch of the Financial Data Exchange under public data governance. In the case of major advanced countries in the data field, they have built a data distribution environment based on the data broker industry for decades and have strengthened national data competitiveness through added values generated from the industry. However, behind the active data distribution through data brokers, there are numerous information security issues, which have resulted in various privacy issues and national security threats. These problems can occur sufficiently in the process of domestic financial data exchange. In our study, we analyzed various information security issues of data trading caused by data brokers and derived information security requirements to be considered when trading data. We verified whether information security requirements are well reflected in the information security policy for each transaction stage of the domestic financial data exchange. Based on the verification, measurements to strengthen information security for financial data exchange are presented in our paper.