• Management & Information Systems Review
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• v.36 no.2
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• pp.93-111
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• 2017

This study aims to examine economic effects and success factors of ICT based growth engine industry for forth generation industrial revolution. KTRS(kibo Technology Rating System) provided by KIBO is used for an analysis of this study. Specifically, the economic effects of growth engine industy are classified with financial(productivity, growth rate, etc) and non-financial(R&D investment and employment) effects. Moreover, the impacts of KTRS factors including CEO capability, technology ability, commercialization and marketability on the economic effects are investigated. The result of this study would raise management issues on technology innovation and provide implications on industrial policies for ICT based growth engine industry.

• Journal of Information Technology Services
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• v.19 no.1
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• pp.17-35
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• 2020

The Korea government has been pursuing various policies to find a new industrial growth engine based on ICT (Industry and Communication Technology). However, ICT industry recently faces a serious crisis due to a lack of fundamental competitiveness and capital and technological gap with other countries. Accordingly, it is necessary for ICT industry to recognize the rapidly changing competitive business environment and to establish appropriate value-based strategies. This paper analyses factors affecting value-based strategy in the Korean ICT industry using 10 years data set. The result shows that the value-based strategy in the Korean ICT companies has a significant influence on their financial performance. In addition, it is confirmed that the competition level in the industry has a significant moderating effect on this relationship. In addition, when the companies are categorized based on performance, it is confirmed that there is a significant difference in competition level and value-based strategy in each categories. The results of this paper are expected to suggest implications for the effective use of balanced value-based strategies in the ICT industry.

• Information Systems Review
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• v.16 no.2
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• pp.77-95
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• 2014

From the success of TDX and CDMA to today's social media boom, Korea's ICT has achieved an amazing growth for the last couple of decades. However, in spite of ICT's role as an engine of growth in Korea, there have been concerns that ICT growth would negatively affect national employment due to the labor substitution effect. While some scholars insist that ICT would positively affect employment because it will enlarge the size of industry itself, many people blame ICT as a main culprit of rising unemployment rates. In this study, we try to empirically find the true effect of ICT growth on employment in Korea. We use the data of ICT productions, ICT investments, and various industries employments from 1995 to 2011. The methodologies we adopted for this study is Granger causality tests and impulse response functions based on vector autoregression (VAR) model. We find that ICT has negative impact on service industries, while it has positive impact on manufacturing industries. Meanwhile, ICT has no statistically significant impact on ICT industry itself. Since the impacts of ICT on employment are mixed, we can argue that ICT should not be blamed for the main cause of low employment. We suggest a direction of future policies to utilize ICT for vitalizing employments in Korea.

• Journal of Korea Technology Innovation Society
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• v.20 no.2
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• pp.334-367
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• 2017

The ICT industry has been the main driver of Korea's economy with international competitiveness and is expected to be the growth engine that will revitalize the currently depressed economy. A broad range of different perspectives and opinions on the industry exist in Korea and overseas. Some of these are stereotypes, not all of which are based on objective evidence. Stereotypes refer to widely-held fixed opinions on a specific group and do not necessarily have negative connotations. However, they should not be viewed lightly because they can substantially affect decision-making process. In this regard, this study sought to review the stereotypes of ICT industry and identify objective and relative stereotypes. In the study, a decision-tree analysis was conducted on a survey result of 3,300 small and medium-sized enterprises (SMEs) in order to identify Korean ICT companies' characteristics that distinguish them from other technology companies. The decision-tree analysis, a data mining process based on machine learning, took a total of 291 variables into account in 10 subjects such as: corporate business in general, technology development activities as well as organization and people in technology development. Identifying the variables that distinguish ICT companies from other technology companies with the decision-tree analysis, the study then came up with a list of objective stereotypes of ICT companies. The findings from the stereotypes of Korean ICT companies are as follows. First, the companies are in need of technology policies that help R&D planning and market penetration. Second, policies must better support the companies working to sell new products or explore new business. Third, the companies need policies that support secure protection of development outcomes and proper management of IP rights. Fourth, the administrative procedures related to governmental support for ICT companies' R&D projects must be simplified. It is hoped that the outcome of this study will provide meaningful guidance in establishment, implementation and evaluation of technology policies for ICT SMEs, particularly to policymakers or researchers in relevant government agencies who determine R&D policies for ICT SMEs.

• Journal of Convergence for Information Technology
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• v.10 no.6
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• pp.35-40
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• 2020

As we enter the society of the future, efforts to increase healthy living are a major area of concern for modern people. In particular, the development of technology for a healthy life that combines ICT technology with a competitive healthcare industry environment is becoming the next growth engine. Therefore, in this paper, artificial intelligence-based data analysis of the examination results was applied in the health examination process. Through this, a research was conducted to build a knowledge base modeling that can improve the reliability of the overall judgment. To this end, an algorithm was designed through deep learning analysis to calculate and verify the test result index. Then, the modeling that provides comprehensive examination information through judgment knowledge was studied. Through the application of the proposed modeling, it is possible to analyze and utilize big data on national health, so it can be expected to reduce medical expenses and increase health.

• Information Systems Review
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• v.18 no.2
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• pp.1-22
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• 2016

In response to changes in the global market environment, companies in the Information and Communications Technology (ICT) industry have begun to pursue cooperation and competition on a business ecosystem level. In particular, to become a leader in the new growth engine industry of Internet of Things (IoT), companies around the globe aim to consolidate vertically up the value chain through a solid establishment of their platforms. This paper looks at Samsung and Xiaomi, whose strategies for creating an ecosystem based on their own platforms differ in accordance to the ecosystem in which they compete. An analysis of these two companies indicate that Samsung pursues a strategy to become the market standard by openly sharing its platform with complementary companies, whereas Xiaomi pursues a strategy that achieves value as a channel owner through the restriction on which companies may become partners. This paper concludes that as Samsung and Xiaomi strive to become IoT industry leaders, each company pursues a variant of a platform-based value chain integration strategy based on the specific nature of the ecosystems in which they compete, thereby creating value through a symbiotic relationship with their partner companies.

• Journal of Digital Convergence
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• v.16 no.9
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• pp.179-185
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• 2018

Technology of Internet of Things (IoT) which is receiving the spotlight recently as a new growth engine of Information Communications Technology (ICT) industry in the $4^{th}$ Industrial Revolution needs trustworthiness beyond simple technology of security. IoT devices should consider trustworthiness from planning and design of IoTs so that everyone who develop, evaluate and use the device can measure and trust its security. Increased number of IoTs and long lifetime result in the increased securituy vulnerability due to the difficulty of software patch and update. In this paper, we investigated security and scalability issues of current IoT devices through research of the technical, political and industrial trend of IoT. In order to overcome the limitations, we propose an automatic verification of software integrity utilizing and a political solution to apply cyber killchain based security mechanism using hash which is an element technology of blockchain to solve these problems.