• The Journal of Asian Finance, Economics and Business
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• v.8 no.3
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• pp.1163-1169
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• 2021

This study aims to obtain empirical evidence regarding the effect of the fraud pentagon theory on financial statement fraud. The novelty of this study is the use of factor analysis to consolidate the five elements of the fraud pentagon into just one factor, which, to the knowledge of the researcher, no one else has done to research the effect of pentagon fraud on financial statement fraud. This study uses both agency theory and fraud pentagon theory. The population of this study consists of state-owned companies listed on the Indonesia Stock Exchange. The research period in this study is from 2014 to 2019. The data used in this study is secondary data obtained from the company's annual financial statements. A purposive sampling technique was used to determine the research sample. The selected companies total 20. Factor analysis and simple linear regression analysis method were used as research the methods. Based on the research results, it was found that the fraud pentagon theory had a positive effect on the financial statement fraud of state-owned companies listed on the Indonesia Stock Exchange. High level of the pentagon fraud on a company leads to a higher indication of financial statement fraud.

• The Journal of Society for e-Business Studies
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• v.17 no.3
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• pp.73-84
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• 2012

With transition to Knowledge society and introduction of information industry, there are many companies which have higher stock price than the suggested value from its financial information. To explain similar cases in capital markets, many researchers focus on non-financial information such as Web Traffic data or intangible assets such as intellectual property rights rather than traditional financial analysis. Besides, the relationships between financial and non-financial information with firm value are changed according to industry lifecycle. As Industry grows, financial information of company is more important for firm valuation in Capital market. We'd like to review the changes of relationships between financial information and firm valuation in Capital market especially for "Software", "Digital Contents", and "Internet" companies listed in Kosdaq market during 2000~2011. The result of data analysis shows the financial information gets more important after 2007. Inversely, it provides analytical bases that related industry gets mature. Also we show that intangible properties are more relevant to stock price of those technical based companies than others.

• Asian Oncology Nursing
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• v.11 no.3
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• pp.193-199
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• 2011

Purpose: This study was aimed to examine mothers'knowledge about human papillomavirus (HPV)vaccination to prevent cervical cancer in Korea. Methods: From September 20 to October 10 2011, 101 mothers who have adolescent girls were surveyed with questionnaires about their general characteristics, the knowledge of HPV vaccine, inoculation rate and vaccination-related factors of their daughters. Results: The percentage of correct answers for HPV vaccine knowledge was 24.2% and the HPV vaccination rate was only 5.9%. HPV vaccine knowledge score of the vaccination group was significantly higher than that of the non-vaccinated group. Mothers said that the reasons why they didn't vaccinate their daughters against the HPV was the financial burden, the lack of HPV knowledge, and worries about possible side effects. The participants addressed that they understood the appropriate age for vaccination was sixteen. Conclusion: We recommend that more educational and promotional efforts need to be given for mothers in order to improve their knowledge of HPV vaccination and to increase the performance rates of HPV immunization against cervical cancer for their daughters.

• Journal of Korean Society for Quality Management
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• v.50 no.1
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• pp.43-61
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• 2022

Purpose: The purpose of this study was verifying factors that affect to intention to use AI financial services and finding a way of building an user oriented AI ecology. Methods: This study used the UTAUT (Unified Theory of Acceptance and Use of Technology) model with independent variables such as performance expectancy, effort expectancy, social influence, facilitating conditions, trust, personal innovativeness and AI understanding as moderating variable. The data was collected through online & offline survey with questionnaire from 330 financial customers. Results: As a result, the analysis suggested that the performance expectancy, social influence, facilitating conditions, personal innovativeness are statistically significant to the intention to use AI. It was also found that AI knowledge of users differently influence the intention to use through the moderating effect on the facilitating conditions. Conclusion: Performance expectancy, social influence, facilitating conditions, personal innovativeness have positive causation to the intention to use in AI financial service. On the facilitating conditions, unlike other variables, it was found that the user's intention to use was different by the level of AI understanding. It means that customers could have the strong intention to use AI even though they don't have enough pieces of knowledge on the factors. Customers seem to be of recognition that the technology has certain benefits for themselves. The facilitating factors are significantly affected by AI understanding and differently effect on the intention to use AI.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.278-282
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• 2001

The discovery of tacit knowledge from domain experts is one of the most exciting challenges in today\`s knowledge management. The nature of decision knowledge in determining the quality a firm\`s short-term liquidity is full of abstraction, ambiguity, and incompleteness, and presents a typical tacit knowledge extraction problem. In dealing with knowledge discovery of this nature, we propose a scheme that integrates both knowledge elicitation and knowledge discovery in the knowledge engineering processes. The knowledge elicitation component applies the Verbal Protocol Analysis to establish industrial cases as the basic knowledge data set. The knowledge discovery component then applies fuzzy clustering to the data set to build a fuzzy knowledge based system, which consists of a set of fuzzy rules representing the decision knowledge, and membership functions of each decision factor for verifying linguistic expression in the rules. The experimental results confirm that the proposed scheme can effectively discover the expert\`s tacit knowledge, and works as a feedback mechanism for human experts to fine-tune the conversion processes of converting tacit knowledge into implicit knowledge.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.127-131
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• 2020

In today's financial industry, Fintech (financial technology) has showed its role of an innovation-driving area, which can bring outstanding changes to the traditional financial market. This article will briefly introduce Fintech as well as its development in Vietnam. Besides, the research also provided a survey on experts' opinions on the challenges to the promotion of Fintech application for the modernization of the banking-finance system in Vietnam. The survey results of 40 experts in banking with knowledge of Fintech identify five challenges faced by Fintech companies in Vietnam: (1) legal corridor; (2) infrastructure; (3) Fintech companies; (4) customers; and (5) human resources. From these five challenges/barriers, there are 14 detailed aspects. The results of the expert survey using descriptive statistics show that all five factors are assessed to be low and need to be better addressed in the future. The authors suggest several solutions for further development of Fintech to support the modernization of the banking-finance system in Vietnam: (1) quickly complete the regulatory framework; (2) introduce policies on tax exemption; (3) promote research and application of the benefits of block-chain technology; (4) utilize the abilities of the human resources; and (5) actively promote and popularize knowledge about Fintech.

• Knowledge Management Research
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• v.20 no.3
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• pp.91-106
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• 2019

In the era of the 4th Industrial Revolution, the importance of information protection is increasing day by day with the advent of the 'hyper-connection society', and related government financial investment is also increasing. The source of the government's fiscal investment projects is taxpayers' money. Therefore, the government needs to evaluate the effectiveness and feasibility of the project by comparing the public benefits created by the financial investment projects with the costs required for it. At present, preliminary feasibility study system which evaluates the feasibility of government financial investment projects in Korea has been implemented since 1994, but most of them have been actively carried out only in some fields such as large SOC projects. In this study, we discuss the feasibility evaluation of public projects for the purpose of information security. we introduce the case study of the personal information protection program of Korean public institutions and propose a cost-effectiveness analysis method that can be applied to the feasibility study of the information protection field. Finally, we presented the feasibility study and criteria applicable in the field of information security.

• Korean System Dynamics Review
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• v.3 no.1
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• pp.105-129
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• 2002

IT companies make a lot of efforts for sharing and utilizing of experiences of their members and transforming them into the organizational knowledge as a competitive core. But they face a dilemma that they have to spend time and financial resource to perform activities around knowledge management for the long-term gains, while carrying field-works for making short-term profits. As an initial attempt to tackle this managerial problem, this paper try to investigate the mechanism of knowledge management in a small IT company in Korea with a synthetic view-point using system dynamics simulation model. It depicts the dynamic behaviors of knowledge management and presents some findings of political leverage. Although it has to be replenished further, the scheme for the dynamism of knowledge management and the findings presented in the paper could be useful for the decision makers particularly of knowledge-intensive organizations

• Journal of Technology Innovation
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• v.13 no.3
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• pp.1-25
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• 2005

This Paper examines the effect of IT knowledge and IT communication on the operational performance of small firms. Small firms which could be defined firms with less than 50 people in total lags behind medium and large firms in computerization. In order to fill up the computerization gap resulted from size differences, Korean government has been promoting the 'Networking Small Firms' project since 2001. Survey data with 698 small firms in Korea, we could find that If knowledge and IT communication significantly contributed to the operational performance of small firms. Internal process performance is affected by individual IT knowledge, traditional communication, and e-mail communication. Customer performance is affected by above three factors, organizational IT knowledge and internet/EDI communication. Interestingly, financial performance is not affected by traditional communication but only IT knowledge and IT communication.

• Asia pacific journal of information systems
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• v.25 no.3
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• pp.445-472
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• 2015

Although knowledge transfer between two different parties occurs in IS development projects, the majority of prior studies focused on knowledge transfer from IT consultants to clients. Considering two parts of knowledge transfer in IS development projects, we must consider both 'where knowledge is transferred from' and 'where it is transferred to'. Therefore, in this study, we attempt to describe two different routes of knowledge transfer, such as knowledge transfer from an IT consultant to a client and knowledge transfer from a client to an IT consultant. In this regard, we have examined the effect of two different routes of knowledge transfer on system implementation success in IS development project. Specifically, we adopted the knowledge stock-flow theory to examine the causal relationship between IT consulting firms and clients in terms of knowledge transfer and eventual system implementation success. Survey data collected from 213 pairs of individuals (both clients and IT consultants) were used to test the model using three different analytic approaches such as PLS (partial least squares) and two types of mediated regression techniques. We found that knowledge transfers partially mediated both the relationships between IT consultants' IT skills (project members' business knowledge) and system implementation success. Furthermore, the effects of each knowledge transfer were distinguished by depending on the types of system, such as ERP or groupware. Our attempts have significant implications for both research and practice given the importance of effective knowledge transfer to IT consulting.