• International journal of advanced smart convergence
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• v.13 no.1
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• pp.57-68
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• 2024

In this paper, we are interested in how creator economy startups allowing creators to make money from doing that they love. So, we look at European creator economy startups among Web3.0 business model landscape surveyed in 2022, because the US is home of Web2.0 giant platforms like YouTube. Totally seventeen European startups are investigated, and the theoretical logic is the disruptive innovation. We firstly review the survey published in 2022 and utilize the theory of the disruptive innovation to design the research framework including questions with each type of the disruptive innovation. In this paper, we firstly show, Kalao and Gem as NFT ecosystem platforms aim at service convenience. Secondly, Talkbase, Passionfroot, Bildr, Customuse, and Earnr aim at providing creator tools for under-skilled customers. Lastly, when it comes direct monetization with a decentralized business model, CrowdPad, Admix, GOALS, Realm, Dropstar, Pianity, Sonomo, Stage11, Miiji, and ReadyPlayerMe are representative. Despite the relatively small data size, the results are meaningful as they contribute to a more profound comprehension of the Web3.0 business models and offer guidance for future research directions.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.3
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• pp.198-203
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• 2013

Industry convergence is the inexorable trend, which has become a fundamental concept to understand the industrial dynamics and to develop business strategies. However, most of the previous studies on convergence have dealt with the issues at the macro-level (technology- or industry-level), little attention has been paid to the analysis of convergence at the micro level (firm-level). Recognizing that firms are the principal agents that develop fusion technologies, it is encouraged to help firms to work together for technology convergence. Therefore, this research proposes a collaboration model for SMEs, since SMEs tend to have novel ideas and are flexible enough to make fusion-technology. To do this, we conducted a survey for Korean SMEs and analyzed their successful cases of collaboration, which was used as a basis to develop the model. The research results will help develop strategy or policy to promote the collaboration between SMEs and ultimately to make a fusion-technology.

• Journal of the Korea Convergence Society
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• v.11 no.10
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• pp.243-255
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• 2020

The purpose of this study is to present the factors that affect business model and product innovation on the enterprise performance of the mobile ecosystem, and to confirm the results of whether they have an effect. To this end, through prior research, business model factors and product innovation factors were defined in the mobile ecosystem that was the mother of the 4th industry, and a hypothesis that each factor will affect corporate performance was established. Through the exploratory surveys and interviews, the value proposition of the business model proved to have a positive (+) effect on the financial and non-disaster performance of the company, and the innovation was proved to have a positive (+) effect on the non-financial performance of the company. It was analyzed that the price competitiveness of product innovation had a positive (+) effect on the financial factors of a company, and the initial market entry had a positive (+) effect on the non-financial factors. With this study, we propose the criteria for reviewing the performance of companies that are rapidly competing in the 4th industrial revolution in terms of business model and product innovation.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.171-179
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• 2016

The purpose of this study is to deduce a successful business model of fintech and suggest the business model component in fintech on domestics. Business model has suggested on a strategic levels but it is to a value of corporation. From literature research, we find a conceptual character and its component of business model. The results show that we understand the business model of fintech. We suggest business model of component for a successful entry of market. These results suggest business model canvas by Alexander Osterwalder. This business model consist of 9 blocks - customer segmentation, value proposition, customer relationship, key resource, key activity, key partnership, revenue stream, and cost structure. These components need an analytic approach for a successful entry and settlement of market. Also, we analyze and suggest a fintech business model and directivity of its components.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.217-225
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• 2019

The Latent Growth Modeling(LGM) is known as the typical analysis method of longitudinal data and it could be classified into unconditional model and conditional model. It is common to assume that the growth trajectory of unconditional model of LGM is linear. In the case of quasi-linear, the methodology for improving the model fitness using Sequential Pattern of Association Rule Mining is suggested. To do this, we divide longitudinal data into quintiles and extract periodic changes of the longitudinal data in each quintiles and make sequential pattern based on this periodic changes. To evaluate the effectiveness, the LGM module in SPSS AMOS was used and the dataset of the Youth Panel from 2001 to 2006 of Korea Employment Information Service. Our methodology was able to increase the fitness of the model compared to the simple linear growth trajectory.

• Journal of Digital Convergence
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• v.13 no.3
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• pp.155-165
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• 2015

Bankruptcy prediction has been one of the important research topics in finance since 1960s. In Korea, it has gotten attention from researchers since IMF crisis in 1998. This study aims at proposing a novel model for better bankruptcy prediction by converging three techniques - support vector machine(SVM), fuzzy theory, and genetic algorithm(GA). Our convergence model is basically based on SVM, a classification algorithm enables to predict accurately and to avoid overfitting. It also incorporates fuzzy theory to extend the dimensions of the input variables, and GA to optimize the controlling parameters and feature subset selection. To validate the usefulness of the proposed model, we applied it to H Bank's non-external auditing companies' data. We also experimented six comparative models to validate the superiority of the proposed model. As a result, our model was found to show the best prediction accuracy among the models. Our study is expected to contribute to the relevant literature and practitioners on bankruptcy prediction.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.4
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• pp.1589-1596
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• 2011

Through the convergence of the games industry value creation is possible regions. It typically appears as a Serious Game. Education, medical, defense such as industry and convergence are creating greater added value. The government also identified the importance of the games industry, and the budget set, game development, support business, human resources development policy, along with business and industry to industry to solve the social problems of regulatory policy and operations are being announced. However, by accessing it from a different perspective on the continued growth of the industry's problems is thought to act as. Thus, policymakers in government positions and in fact industry to conduct business in the private sector to reflect both the position of the design of a new development approach is needed. In this study examines the current game industry development policies, as well as activities at corporate level and industry level, the activities of national at the same time that the service should consider using a model with an integrated perspective of the games industry development policy is proposed.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.145-147
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• 2016

Traditionally, information technology have much influenced the activities and effectiveness of business process in business value chain. However, today, the new IOT not only leads the major change in the structure of business value chain but also has been emerging as the compertitive power itself in the business activities. In this point, it is to review the role of IOT in business value chain.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.35-51
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• 2008

This study is to investigate factors that affect preference to CMDS(convergence mobile data service) on institutionalization of MDS. A research model was proposed and subsequent hypotheses were empirically tested with partial least square (PLS) based on 400 responses from the users of CMDS(DMB: 200 / m-Banking: 200). It was learned that institutionalization of technology related building MDS was positively associated with assimilation of MDS(represent a institutionalization of MDS) rather than service quality and use gratification. It means that users decided use of MDS refereed from its level of assimilation to MDS channel. Also, attractiveness of alternatives to CMDS is negatively associated with continuous use of CMDS and preference to CMDS. Lastly, their association strength was partially moderated by the type of motivation for using CMDS.

• Journal of Information Technology Applications and Management
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• v.23 no.2
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• pp.263-277
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• 2016

Recently, 3D printing technology has been considered as a core applicable technology because it brings many improvements such as the development of medical technology, medical customization, and reducing production cost and shortening treatment period. This research suggests a market prediction framework for medical 3D printing business. As an immature market situation, it is important to control some uncertainty for market prediction such as a customers' conversion rate. So we adopt decision making tree (DMT) model which used to choose an optimal decision making among diverse pathway. Among medical industries this paper just focuses on dentistry business. For predicting a 5 year period trend expected market size, we identified some replaceable denture procedure by 3D printing, collected related data, controlled uncertain variables. The result shows that medical 3D printing business could be a market of 28.2 billion won at 1st year and in the end of fifth year it could become on a scale of 61.1 billion won market.