• Journal of Digital Convergence
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• v.18 no.10
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• pp.207-217
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• 2020

The purpose of this study is to examine the structural relationship between the digital platform capabilities of financial institutions and the impact of customer orientation on service innovation behavior through exploitation/exploration. A survey was conducted on employees of financial institutions to verify the research model, and the final 280 copies of the questionnaire were analyzed using SPSS 25 and SmartPLS 2.0. As a major research result, First, digital platform competency has a positive effect on exploitation and exploration. Second, customer orientation has a positive effect on exploitation, but not on exploration. Third, both exploitation and exploration have a positive impact on service innovation behavior. Through this research, this study shed new light on the relationship between digital platform capability and customer orientation that affects service innovation behavior of financial institutions, and expanded the scope of research through empirical research. Future research will require research attempts on various variables and research samples.

• Journal of Intelligence and Information Systems
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• v.29 no.1
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• pp.143-174
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• 2023

With the development of deep learning technologies, Artificial Intelligence powered Optical Character Recognition (AI-OCR) has evolved to read multiple languages from various forms of images accurately. For the financial industry, where a large number of diverse documents are processed through manpower, the potential for using AI-OCR is great. In this study, we present a configuration and a design of an AI-OCR modality for use in the financial industry and discuss the platform construction with application cases. Since the use of financial domain data is prohibited under the Personal Information Protection Act, we developed a deep learning-based data generation approach and used it to train the AI-OCR models. The AI-OCR models are trained for image preprocessing, text recognition, and language processing and are configured as a microservice architected platform to process a broad variety of documents. We have demonstrated the AI-OCR platform by applying it to financial domain tasks of document sorting, document verification, and typing assistance The demonstrations confirm the increasing work efficiency and conveniences.

• Journal of Internet of Things and Convergence
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• v.7 no.3
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• pp.81-90
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• 2021

In this study, the effect of user characteristics and technical characteristics of a blockchain-based financial platform on the intention to use of financial consumers was analyzed. Also, in this influence relationship, we analyzed what kind of causal relationship between relative advantage and perceived risk on intention to use. From June 1 to July 30, 2021, a non-face-to-face self-filling online survey was conducted with a sample of subjects who had experience using a financial platform grafted with blockchain technology, and the study was conducted in 187 copies. For statistical processing, frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis, multiple regression analysis and 3-step mediated regression analysis were performed using SPSS 21.0 program. The significance level of the statistical value was set to less than 95%. The research results are as follows. First, it was found that innovativeness and usefulness affect the intention to use in the user characteristics. Second, in the technical characteristics, compatibility and reliability were found to affect the intention to use. Third, it was found that relative advantage and perceived risk play a partial mediating role in the relationship between user characteristics and intention to use. Fourth, it was found that relative advantage and perceived risk play a partial mediating role in the relationship between technical characteristics and intention to use. Fifth, it was found that there were differences in the ubiquity of user characteristics, compatibility of technical characteristics and intention to use according to the experience of using the certificate. The results of this study can contribute to the development of a financial platform based on the Internet of Things.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.3
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• pp.127-137
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• 2023

COVID-19 has not only affected all sectors of society, economy and politics, but also had a huge impact on industry. The non-face-to-face exchange method was essential to prevent infectious diseases, and the generation who experienced it recognizes the importance of a platform that can be quickly accessed anytime, anywhere, and attention is focused on the Metaverse that can accommodate it well. Each financial industry uses a differentiated metabus platform strategy, focuses on new customer service and revenue generation, and is also used as an internal and external communication channel. This paper analyzes the theoretical background of the financial sector metaverse and domestic and international cases, and studies and describes the direction of using the financial sector metaverse platform to secure MZ generation contact points.

• Review of KIISC
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• v.30 no.4
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• pp.29-34
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• 2020

인터넷과 모바일 기기의 발달로 사용자는 언제, 어디서나 온라인 쇼핑 및 인터넷 뱅킹 등을 스마트폰 앱으로 결제를 하는 시대가 되었으나, 모바일 뱅킹 앱 경우에도 다수의 앱을 탑재하는 불편이 발생하여 이를 개선 하고자 하는 필요성이 대두되고 있다. 그리고 정부는 핀테크 산업을 국가의 미래 신성장 동력으로 인식하고 핀테크 산업 활성화 및 핀테크 기업 지원방안 마련에 적극 나서고 있다. 그러므로 핀테크 기업이 각 금융회사와 개별적으로 협약을 맺어 금융 데이터 및 서비스에 접근 하여야 하는 앱 기반 위주의 프레임워크는 상호운용 및 유지보수에 문제점이 점점 가중되고 있으며, 이를 해소하기 위하여 표준화된 개방형(Open) 플랫폼이 기술적 방안으로 권고되고 있고, 국내 ICT 기업들의 핀테크 비즈니스에 참여를 독려하기 위하여 개방형 핀테크 플랫폼의 정보보호 지침이 마련되었으며, 이를 기반으로 국제표준이 ITU-T SG17에서 승인되었다.

• The Journal of Society for e-Business Studies
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• v.26 no.4
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• pp.119-131
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• 2021

With the boom of platform businesses, digital transformation has become the most important topic for businesses. Digital transformation has now become the most urgent strategy for survival, from a strategy considered as an option to choose in the past. Many companies are desperately seeking the ways to be digitally transformed. Even though there have been many studies on digital transformation, most of them are on strategic and conceptual model levels based on simple case analyses. In this study, we analyze the benefits of data integration and network effects from it, based on platform business model at the core of digital transformation. The change based on platform can be categorized into the internal one for the integration of data and better decision making, and the external one for the expansion of the businesses and better prediction of consumer behaviors through the integration of external data sets by the platform business model based enterprises. While the progress for digital transformation is not mature enough yet, financial industry is one of the most promising industries for the change and realization of the aim of it with its relatively much more advanced IT infrastructure. Many companies are making various efforts for the integration of external data, and if the good results can be accomplished, financial industry will contribute to the advancement of digital transformation in other industries as well. For "My Data" project by Korean government, we suggest the data structure and transaction of data (of Korea) should be advanced and established more quickly.

• Journal of Technology Innovation
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• v.31 no.1
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• pp.65-103
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• 2023

With the recent surge in the share of data-based economic activities, there have been vibrant discussions on the data economy. Yet, few extant works provide a framework for systematically analyzing the transition to the data economy by major industries in Korea. By reviewing the existing literature, we first summarize the main characteristics of the data economy as building platforms, the greater importance of predictive power, and the increased use of new analytics. Next, based on such understanding, we provide a comparative analysis regarding the degree of data-based activities in Korea's financial, real estate, and medical sectors. We find that the speed at which, and the content of the data economy characteristics being realized were different for the different sectors. These findings suggest that differentiated policy approaches by major industrial sectors such as finance, real estate, and medical care are needed to improve economic productivity and increase welfare through the spread of the data economy.

• Journal of Platform Technology
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• v.11 no.1
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• pp.11-22
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• 2023

Various video conferencing and collaboration applications have emerged due to the global epidemic of new viral infections. In addition to real-time video conferencing, video conferencing applications provide features such as chat and file sharing on various platforms. Because various personal information is stored through functions such as chatting, file and screen sharing, these video conferencing applications are the major target of analysis from a digital forensic investigation. In the case of applications that provide cross-platform, the form of stored data is different depending on the platform. Therefore, to utilize data of video conferencing application for forensic investigation, preliminary research on artifacts stored by platform is required. In this paper, we used the video conferencing applications GoToWebinar and GoToMeeting and analyzed the artifacts generated. As a result, we list the main data from a digital forensic investigation. We identify data stored for each platform provided by GoToWebinar and GoToMeeting and organize artifacts that can estimate user behavior. Also, we classify the data that can be acquired according to the role and environment within the video conference.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2002.11a
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• pp.136-160
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• 2002

Most important to financial institutions is to provide well designed and built services to the customers by accessing their core bank systems and affiliated systems in their partners. This will be essential to introduce new products and services and still be able to count on legacy and collaborative affiliated systems. Winning the war on such service competitions among financial institutions is attainable by seizing the "e-bank" opportunities in B2Bi and CRM (Customer Relationship Management). Such application integrations among systems and "e-bank" services need to be available in the new IT environment. In this article, an If and service architecture adopting unified e-business services platform is proposed. This architecture is able to achieve application integrations among legacy, affiliated, and e-business systems and services. We derive an architecture in unified e-business services platform by investigating current and future e-business services platforms involved in domestic and global international banks. Several financial interchange standards which are involved in B2B business of e-procurement, e-placement, e-payment are also investigated.

• The Journal of Bigdata
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• v.1 no.1
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• pp.77-84
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• 2016

We investigate the types and characteristics of Fintech has become a major issue. Through this, we believe that the essence of Fintech are platform business and market occupancy. To success Fintech business, the price of Fintech services needs to be lower than that of traditional financial services. The solution is to take advantage of big data and big data analysis. Finally, we think only a win-win cooperation with Fintech startups and financial companies in the direction we need to go.