• Journal of Information Technology Services
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• v.15 no.1
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• pp.1-18
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• 2016

Recently, in the bio-field success stories of ventures through a biosimilar technology is being excavated. but the growth of ICT industry has been stagnant since reaching a boom in the dissemination of early high-speed internet in 2000s. The purpose of this study is to explore the factors of change of business model and business strategy of ICT ventures and SMEs with the evolution of the digital ecosystem, and to drive the factors to be competitive on the global value chain. The researcher selected an entreprenuership, market-innovation orientation, technology-innovation orientation, and Administration-innovation orientation as internal factors influencing the global competence and healthiness of the ecosystem as external factors. The researcher applied samples of 94 ICT Venture and SMEs to a research model, and adopted 5 hypotheses. The researcher believes that only a few hypotheses were adopted because it takes time for overall innovation orientation of ICT Venture and SMEs to result in the real global competence as the their innovation orientation is still on the level of domestic market. And the researcher also thinks that only healthiness of the ecosystem affected management performances because the companies' performances of the last 3 years were so weak that the correlation between innovation orientation of each company and the performances were not big enough.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.8
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• pp.3249-3257
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• 2015

The smart convergence environment, in which all industries are converged around ICT infrastructure -- with the eventual inclusion of both industry and culture -- looms. With the emergence of new convergence industries such as smart medicine, smart cities, and smart automobiles, the ICT infrastructure is recognized as the foundation of the overall economy. As such, the importance of the next generation of information and communication construction businesses, which constructs the ICT infrastructure, is highlighted under the smart convergence paradigm environment; various multilateral policies to foster the information and communication construction business -- led by the Ministry of Science, ICT, and Future Planning -- are being implemented. Like other infrastructure industries, however, the estimation of the demand function of the information and communication construction business overall is essential for effectively establishing promotional policies for information and communication construction businesses. However, there has been no study which theoretically estimates the market demand function in the information and communication construction business thus far. The pursuit of a creative economy is a national agenda, as the significance of accelerating the ICT infrastructure is emphasized. Therefore, this paper seeks to estimate quantitatively the demand function in the information and communication construction business using empirical data and a statistical model and then to present policy implications which will aid the development of the information and communication construction business.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.10 no.6
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• pp.187-202
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• 2015

The continued development of smart devices representing smart phones and tablet PC has made significant changes to the ICT ecosystem. Along the development of smart devices, consumers' needs are also becoming increasingly diversified in addition to their rising expectations. Thus, in order to fulfill the changing customer needs, corporations in the ICT ecosystem have recently focused on appcessory products that are interlinked and utilized in existing smart devices. This study particularly analyzes the two corporations, Samsung Electronics and SK Telecom, which recently plunged into appcessory business. By the case study of these two companies based on the theories of ecosystem and platforms, this study analyzes the current status of the appcessory market, the potentials and significances of the business, business background of the two corporations, and the status of leadership competition in the appcessory market. In the case of Samsung Electronics and SK Telecom, the study shows that both corporations acquired new growth powers in the appcessory market with their entry into existing or other relating markets. Also, since the appcessory business is highly related to their existing businesses, each company was able to take advantages based on the capability that they already possessed and this relationship had positive effects on their overall businesses. In addition, the two corporations had common strategies in increasing their competitiveness by identifying internal weaknesses and building external cooperations. On the other hand, since the two companies have different business areas, their business background, business strategies, and the effects of expectations varied to each other. Thus, this study identifies commonalities and differences between recent smart platforms and corporations' engagement in the fierce leadership competition in the appcessory market.

• Journal of Service Research and Studies
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• v.5 no.2
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• pp.1-13
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• 2015

This study deduced an effect produced on the export performance of ICT company through precedent study. And the importance of each factor was analyzed, regarding the deduced influencing factors. And influencing factors in the export performance of ICT export companies were presented at a practical level on the basis of analysis results. According to the results of analysis, with regard to the influencing factor in the export performance of ICT company, companies' factors were interpreted as the most important influencing factor among the 1st hierarchical factors. According to the results of analysis after setting 12 factors for the 2nd hierarchical factor, 4 factors including export experience, CEO's market orientation, marketing strategy, and export market attractiveness were interpreted as very important factors. Therefore, it was possible to find that, with regard to the influencing factor in the export performance of ICT company, above all, enterprise internal factors- i.e., companies' factors, marketing factors- were more important influencing factors.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.467-472
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• 2013

Recently, the value of ICT-based medical devices, equipments, software and service development are is increased according to strengthening the convergence among ICT, medical technologies and services. This paper presents the new convergence business models by applying cloud service to medical industry. In order to develop the new convergence business models, we checked the validity and feasibility through analyzing the medical market environments such as medical data backup, medical regulation etc. and present the new convergence business models and the direction of commercial business models for customer acquisition, market expansion and competitiveness improvement. This study is to provide the guidelines for establishing the core capacity strengthening strategy and partnership cooperation strategy when we design a new convergence business models in various industrial fields.

• The Journal of Asian Finance, Economics and Business
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• v.5 no.4
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• pp.201-211
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• 2018

The paper suggests making a policy and strategies for a way of exporting Korean ICT product effectively in the EU and Eastern area, and an effective preparation of 4^th industrial revolution through analysis of preparation status of 4^th industrial revolution of the Visegrad group. Analyze policy, status, what they want for 4^th preparation in the Visegrad group from comparing characteristics analysis of each country's official data, publication data, portal, paper, and etc. They have been preparing for 4^th industrial revolution long time ago as basic research and business before 4^th wave word. With these basic results, they are trying to apply such as, AI, S/W, security, ICT, etc. of 4^th wave core technology. For the development of new export market in EU, the Korean team should research with university and research center or venture company. Through these cooperation, they should understand their personal characteristic, lifestyle, and what consumers want to purchase in EU. And this results can be used in South Asia and India that give a big effect to all over the world ICT market. The external impact of the 4^th wave must have a long-term shift in manpower, and production policy is related to the EU's strategic role, or the preparation of the 4^th wave to the V4 country in the short term.

• Journal of Service Research and Studies
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• v.13 no.1
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• pp.127-143
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• 2023

Currently, the domestic traditional market has not escaped the swamp of stagnation that began in the early 2000s despite various projects promoted by many related players such as the central government and local governments. In order to overcome the crisis faced by the traditional market, various R&Ds have recently been conducted on how to build a smart traditional market that combines information and communication technologies such as big data analysis, artificial intelligence, and the Internet of Things. This study analyzes various previous studies, users of traditional markets, and application cases of ICT technology in foreign traditional markets since 2012 and proposes a model to build a smart traditional market using ICT technology based on the analysis. The model proposed in this study includes building a traditional market metaverse that can interact with visitors, certifying visits to traditional markets through digital signage with NFC technology, improving accuracy of fire detection functions using IoT and AI technology, developing smartphone apps for market launch information and event notification, and an e-commerce system. If a smart traditional market platform is implemented and operated based on the smart traditional market platform model presented in this study, it will not only draw interest in the traditional market to MZ generation and foreigners, but also contribute to revitalizing the traditional market in the future.

• Journal of Information Technology Services
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• v.17 no.1
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• pp.47-58
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• 2018

In this study, we define Fintech services as review previous literatures and identify the traditional Fintech service market for analysing the economic effects of the Fintech Industry by using the 2014 Input-Output Table. We can identify the current market of Fintech industry which consists of VAN, PG, financial SW, mobile banking and Fintech R&D and we conduct Input-Output analysis by using non-competitive import model. The Input-Output analysis results show that production inducement effect and front/rear chain effect of the Fintech Industry are below average of other industries. This is because the Fintech technology and industry were emerging in Korea at that time (2014), and thus the ripple effects are not significant. Especially, due to the existing white risk financial regulation, new business opportunities have not been open to adapt new ICT-financial technologies. Therefore, when the business ecosystem is build through deregulation and platforms of the financial sector, it is expected that the Fintech Industry will have a high ripple effect. In this study, we identify the current market of Fintech industry from ICT indusries and conduct Input-Output analysis. The economic effects of the Fintech industry are not remarkable, but it is significant to identify the emerging market and present the basic analysis of issued research field.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.6
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• pp.690-696
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• 2019

New companies expecting market penetration by adopting technology commercialization process could face high uncertainty and constraints. In particular, ICT-based firms that enter competitive markets must deal with more complex situations. Although in-depth research has been done to solve the problem, there is still a lack of understanding of how startups' technology commercialization process is successful. To discuss the issue, this paper presents the technology commercialization model and determinants.(policy, finance, work team, organizational culture, overcoming the difficulties etc.) the suitability of the framework. From this analysis it emerged that the sustainability of organizational capabilities is as important as the adherence to the technology commercialization process for companies. As the organizational capacity has decreased, the driving force for technology commercialization has weakened. Therefore, the technology commercialization process does not guarantee the success of the market entry but is understood as a means of market access. If the organizational capacity is not strengthened, there is no successful technology commercialization process.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.99-122
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• 2019

According to the recent IDC (International Data Corporation) report, as from 2025, the total volume of data is estimated to reach ten times higher than that of 2016, corresponding to 163 zettabytes. then the main body of generating information is moving more toward corporations than consumers. So-called "the wave of Big-data" is arriving, and the following aftermath affects entire industries and firms, respectively and collectively. Therefore, effective management of vast amounts of data is more important than ever in terms of the firm. However, there have been no previous studies that measure the effects of big data investment, even though there are number of previous studies that quantitatively the effects of IT investment. Therefore, we quantitatively analyze the Big-data investment effects, which assists firm's investment decision making. This study applied the Event Study Methodology, which is based on the efficient market hypothesis as the theoretical basis, to measure the effect of the big data investment of firms on the response of market investors. In addition, five sub-variables were set to analyze this effect in more depth: the contents are firm size classification, industry classification (finance and ICT), investment completion classification, and vendor existence classification. To measure the impact of Big data investment announcements, Data from 91 announcements from 2010 to 2017 were used as data, and the effect of investment was more empirically observed by observing changes in corporate value immediately after the disclosure. This study collected data on Big Data Investment related to Naver 's' News' category, the largest portal site in Korea. In addition, when selecting the target companies, we extracted the disclosures of listed companies in the KOSPI and KOSDAQ market. During the collection process, the search keywords were searched through the keywords 'Big data construction', 'Big data introduction', 'Big data investment', 'Big data order', and 'Big data development'. The results of the empirically proved analysis are as follows. First, we found that the market value of 91 publicly listed firms, who announced Big-data investment, increased by 0.92%. In particular, we can see that the market value of finance firms, non-ICT firms, small-cap firms are significantly increased. This result can be interpreted as the market investors perceive positively the big data investment of the enterprise, allowing market investors to better understand the company's big data investment. Second, statistical demonstration that the market value of financial firms and non - ICT firms increases after Big data investment announcement is proved statistically. Third, this study measured the effect of big data investment by dividing by company size and classified it into the top 30% and the bottom 30% of company size standard (market capitalization) without measuring the median value. To maximize the difference. The analysis showed that the investment effect of small sample companies was greater, and the difference between the two groups was also clear. Fourth, one of the most significant features of this study is that the Big Data Investment announcements are classified and structured according to vendor status. We have shown that the investment effect of a group with vendor involvement (with or without a vendor) is very large, indicating that market investors are very positive about the involvement of big data specialist vendors. Lastly but not least, it is also interesting that market investors are evaluating investment more positively at the time of the Big data Investment announcement, which is scheduled to be built rather than completed. Applying this to the industry, it would be effective for a company to make a disclosure when it decided to invest in big data in terms of increasing the market value. Our study has an academic implication, as prior research looked for the impact of Big-data investment has been nonexistent. This study also has a practical implication in that it can be a practical reference material for business decision makers considering big data investment.