• 정보화정책
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• 제26권2호
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• pp.24-45
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• 2019

본고는 정보통신기술(ICT) 산업을 ICT 생산 산업과 ICT 이용 산업으로 구분하고 각 산업의 경제성장 기여도를 추정하였다. 이를 통해 ICT 생산 산업이 전체 경제성장에 미치는 직 간접적인 영향의 크기를 분석하였다. 한편, 이러한 산업별 성장기여도 분석은 각 산업이 전체 경제성장에서 차지하는 비중의 크기를 사후적으로 보여줄 수는 있어도, 특정 산업이 전체 경제에 영향을 미치는 파급 원인 및 그 과정에 대하여는 파악할 수 없다는 단점이 있다. 이러한 단점을 극복하고자 본고는 ICT 생산 산업 재화의 가격변화에 초점을 두고 ICT 생산 산업 재화의 상대가격, ICT 이용 산업에 투입되는 ICT 생산 재화의 비중, 경제 전체의 생산 간에 장기적으로 안정적인 관계가 존재하는지 여부를 실증분석 하였다. 분석 결과 경제 전체의 성장은 지속적으로 둔화되고 있으나 ICT 관련한 산업의 전체 경제 성장에 기여하는 정도가 꾸준히 증가한 것으로 나타났다. 특히, ICT 생산 산업이 전체 경제성장에 직접 기여한 것 보다는 ICT 이용 산업을 통해 간접적으로 기여한 효과가 더 큰 것으로 나타났다. 한편, ICT 생산 산업 재화의 상대가격과 ICT 이용 산업에 투입되는 ICT 생산 재화의 비중 간에 장기적으로 안정적인 부(-)의 관계가 있는 것으로 나타났다. 또한 ICT 생산 산업 재화의 상대가격 하락이 ICT 이용 산업에 투입되는 ICT 생산 재화의 비중을 증가시키고 이를 통해 경제 전체의 생산도 증대시키는 것으로 나타났다. 이는 ICT 생산 산업의 가격하락이 여타 산업의 생산효율을 증가시켜 경제전체의 성장에 직 간접적으로 영향을 주는 것으로 해석될 수 있다.

• Journal of Korea Trade
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• 제23권7호
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• pp.1-12
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• 2019

Purpose - This paper empirically investigates the relationship between Information and Communication Technology (ICT) goods imports and economic growth with a focus on the 13 Asia-Pacific economies during 2005-2016. In particular, this paper extends the study by breaking down the data of Asia-Pacific countries into High Income Countries (HICs) and Low Income Countries (LICs) according to the difference of income levels. Design/methodology - Our empirical model employs the standard growth model based on the Barro (1998)-type growth framework. Using static panel-data technique, we estimate the effect of ICT goods imports on economic growth in the 13 Asia-Pacific economies. In addition, we also estimate a difference of the ICT goods imports-economic growth link between HICs and LICs. Findings -The estimation results indicate that ICT goods import has a significant positive effect on economic growth, while ICT goods export has a positive but statistically insignificant effect on it. When we break down the panel data into HICs and LICs in order to gain further insight, ICT goods imports has been effective in spurring growth in only LICs but not in HICs. The other supplementary results show that both domestic investment (GCF) and life expectancy (LE) have a significantly positive impact on economic growth in both HICs and LICs. Originality/value - The main findings of the paper suggest that ICT goods imports has a positive effect on economic growth in only LICs but not in HICs. This result supports the so-called 'leapfrogging' hypothesis through ICT goods imports in the Asia-Pacific countries, in which LICs are gaining more from ICT goods imports than HICs.

• Asian Journal of Business Environment
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• 제9권4호
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• pp.5-13
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• 2019

Purpose - This research is aimed to investigate the impact of the Information and Communication Technology (hereinafter ICT) development index and ICT investment on Indonesian economic growth. Research design, data and methodology - The data used consist of ICT development index, government expenditure on ICT sector, and economic growth from 33 provinces in Indonesia from 2012 to 2015. Based on the Networked Readiness Index published by the World Economic Forum (WEF), Indonesia was ranked 80^th among 142 countries in 2012 and had climbed 64^th in 2014. This indicates that the businesses in Indonesia have adopted ICTs to increase productivity and expand their activities. Panel data regression analysis is performed to reveal the change of the impact over time in each of the provinces. Result - The ICT development index and government expenditure for ICT have a positive effect on the economic growth of all provinces, although the impact is different in each of the provinces. There is a digital gap between the provinces, especially the large digital gap occurring with DKI Jakarta. The provinces of Eastern Indonesia such as NTT and Papua are still relatively slow in development of ICT. Conclusions - ICT development index and allocation of local government expenditure for ICT have significant effect on economic growth. ICT development index has a bigger role in increasing economic growth.

• 지식경영연구
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• 제20권3호
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• pp.1-16
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• 2019

Jobless Growth, one of the most issue keywords for Korea's economy at this moment, stands for an economic situation where the unemployment rate once edging up at the downturn does not fall sharply even after a business cycle is on the stage of its recovery. A remarkable progress of ICT has intensified the apprehension of technology displacing human labor. A remarkable progress of ICT has intensified the apprehension of technology displacing human labor historically. Nowadays, ICT as the main cause for recent jobless growth in Korea ends up with pointing out. This study is to investigate whether the ICT leads to an economic situation of jobless growth. We served an empirical analysis using firm-level panel data from 2009 to 2013 and estimated the effects of ICT on both firm's employment and productivity. A result suggests not only does the employment increase with the rise of ICT investment, but also the employment becomes a complete mediator in terms of linking ICT and firm's productivity. It turns out to be a groundless fear that the ICT rules out human labor causing jobless growth for Korea's economy according to the result revealed.

• 경영정보학연구
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• 제16권2호
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• pp.77-95
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• 2014

한국의 ICT산업은 TDX, CDMA에서부터 인터넷 발전 및 최근의 소셜미디어 붐에 이르기까지 엄청난 발전을 이루어왔다. 그렇지만, 최근에는 이러한 ICT산업이 생산성 증대효과를 일으키는 것과는 반대로 고용에는 오히려 도움이 되지 않는다는 우려가 존재하고 있으며, 반면에 ICT산업의 노동대체효과에도 불구하고 산업 자체의 규모가 확산되기 때문에 고용의 증대를 가져온다는 상반된 주장도 있다. 따라서, 과연 ICT산업에 대한 투자와 산업의 발전이 고용에 부정적인 영향을 미치는지에 대해 현재의 시점에서 실증적으로 살펴볼 필요가 있다. 본 연구는 1995년부터 2011년까지의 국내 ICT산업 설비 총 투자량과 ICT산업 총 생산량을 ICT산업 발전의 대리변수로 두고, 고용변수를 全산업의 총 고용, 이중 제조업, 서비스업, 그리고 ICT산업의 총 고용으로 세분화하여 살펴보았다. 이를 통하여, ICT산업의 고용에 대한 효과를 벡터자기회귀모형을 사용하여 Granger 인과관계 분석 및 동태적 충격반응함수 분석을 시도하였다. 분석결과, 국내 ICT산업의 발전은 서비스업 부분에서 고용감소 효과를 보였으나, 제조업 부분의 고용은 소폭 상승한 것으로 나타났다. 반면에, ICT산업 자체 내의 고용은 통계적으로 유의한 관계가 없는 것으로 나타났다. 종합적으로 ICT산업의 발전은 전체 산업측면에서는 부정적인 측면이 있지만, 적어도 제조업의 고용에는 긍정적인 영향을 미칠 수 있음을 확인할 수 있었다. 기존에 존재하고 있는 ICT산업이 발전함에 따라 고용시장은 축소된다는 주장과 달리, 본 연구결과에서는 ICT산업의 발전이 고용에 반드시 부정적 영향을 미치는 것이 아니라는 것을 알 수 있었다.

• 디지털산업정보학회논문지
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• 제17권4호
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• pp.177-195
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• 2021

The purpose of this study is to examine the trouble of recruitment and research and development of ICT SMEs. Recently, many ICT SMEs have emerged for selling products and services using the technology of the 4th industrial revolution. However, SMEs have relatively deficient resources compared to large companies, the difficulty of maintenance or growth of human resources and intangible resources. This research methodology organized the four stages of the analysis process. The first analysis is the association rules for human resource recruitment. The second analysis is the difficulty of hiring jobs and experienced workers by each stage of company growth. The third analysis is a regression analysis of the trouble of R&D activity. The last analysis is an analysis of association rules on the difficulties of management activities by company growth. As the research result, the first analysis has shown a difference in favored human resources by the ICT industry. The second analysis also showed factor differences in job recruitment difficulties for each stage of corporate growth. In the third analysis, the operation of research institutes in ICT SMEs is influenced by industry type, corporate certification, corporate growth stage, self-technology development, joint technology development, technology transfer, and commercialization. As the last analysis, ICT SMEs showed factor differences in difficulties in management activities by stage of corporate growth. This study contributed empirically emphasizing the troubling phenomenon of human resources and R&D necessary for the growth of ICT SMEs. As a theoretical implication, this research contributed to the research-area expansion of management information using big-data technologies. In particular, this research practically suggests the differentiated direction of recruitment and R&D by ICT SMEs based on industry and each stage of company growth through the association rules of big data.

• Journal of Information Processing Systems
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• 제17권6호
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• pp.1044-1056
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• 2021

Globalization has integrated the world through interaction among countries and people with the help of information and telecommunication technology (ICT). The rapid mode of globalization has put a new life in ICT and economic sector. The key focus of this study is to examine the nexus among the globalization, ICT and economic growth. This study uses autoregressive distributed lag model (ARDL), vector error correction model (VECM) and econometric method spanning from 1990 to 2015. The empirical result highlights that the globalization stimulates economic growth of a country. In addition, both the internet penetration and the mobile phone usage contribute to the economic growth. Lastly, this article contributes important policy lessons on strengthening the economy by utilizing ICT with the rapid globalization.

• The Journal of Asian Finance, Economics and Business
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• 제9권2호
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• pp.295-303
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• 2022

Information and communication technology (ICT) is one of the primary zones that stimulates economic development in today's globalized world. It promotes technological developments in worldwide communication and manufacturing systems, as well as economic growth and development. Many economic activities, such as international trade and foreign direct investment, rely heavily on contemporary information and communications technologies (FDI). The goal of this study is to look at the dynamic relationship between FDI, ICT, trade openness, and economic growth in the context of BRICS countries from 2000 to 2018, with Gross Domestic Product as the dependent variable and Telephone subscriptions, Mobile subscriptions, Broadband subscriptions, Internet subscribers, Secure internet servers, Trade, and Foreign direct investment as the independent variables.Two variables are used as proxies to manage the macroeconomic environment, while five variables are used as proxies for ICT infrastructures. The outcomes of this study are analyzed using Generalized Methods of Movements (GMM). According to this study, ICT has a positive impact on the economic growth of a few countries. Trade openness and foreign direct investment, on the other hand, have a negative impact on economic growth. As growing countries, the BRICS must participate in economic reform and liberalization measures. This report suggests policy proposals for improving ICT standards, focusing especially on economic growth, trade openness, and increasing foreign investment in the BRICS countries.

• 경영정보학연구
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• 제23권3호
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• pp.1-23
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• 2021

글로벌 비즈니스 환경이 급변함에 따라 각국의 경제정책 패러다임도 지속적으로 변화한다. 그중 중소기업 육성은 많은 선진국의 핵심적인 정책으로 자리 잡았다. 중소기업의 성장은 고용 없는 성장시대의 일자리 창출과 지역사회 발전에 기여한다. 특히, 중소기업의 성장은 중견기업, 대기업으로 성장하는 밑거름이 된다. 따라서 중소기업의 성장은 국가 경제에 중요한 역할을 할 것이다. 최근 4차 산업혁명으로 정보통신기술이 주목받는 가운데, ICT 중소기업의 성장은 국가 미래산업으로 주목받고 있다. 이에 본 연구는 ICT 중소기업의 성과에 연구개발 요인이 어떠한 영향을 미치는 검증한다. 이를 위해 과학기술정보통신부에서 조사한 ICT 중소기업 실태조사의 응답을 바탕으로 실증한다. 실증분석 결과 첫째, 자원기반이론에 입각한 ICT 중소기업의 연구개발 투자, 연구개발 인력, 정부지원정책은 기업의 경쟁우위 확보에 긍정적인 영향을 주는 것으로 나타났다. 둘째, 기업의 경쟁우위인 4차 산업활용, 제품의 수준은 기업의 매출에 긍정적인 영향을 주는 것으로 나타났다. 마지막으로 기업의 성장단계에 따라 인수합병 및 기술확보방법이 다른 것으로 나타났다. 따라서 ICT 중소기업의 기술혁신과 기업성과를 달성하기 위해서는 정부 지원정책과 내부 연구개발 인력 확보 및 투자가 주요 요인이며, 기업의 성장단계에 따라 기술확보전략이 다른 것으로 나타났다.

• Asian Journal of Business Environment
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• 제12권1호
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• pp.11-16
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• 2022

Purpose: This study is aimed to map the provinces in Indonesia based on the education and ICT indicators using several unsupervised learning algorithms. Research design, data, and methodology: The education and ICT indicators such as student-teacher ratio, illiteracy rate, net enrolment ratio, internet access, computer ownership, are used. Several approaches to get deeper understanding on provincial strength and weakness based on these indicators are implemented. The approaches are Ensemble K-Mean and Fuzzy C Means clustering. Results: There are at least three clusters observed in Indonesia the education quality, participation, facilities and ICT Access. Cluster with high education quality and ICT access are consist of DKI Jakarta, Yogyakarta, Riau Islands, East Kalimantan and Bali. These provinces show rapid economic growth. Meanwhile the other cluster consisting of six provinces (NTT, West Kalimantan, Central Sulawesi, West Sulawesi, North Maluku, and Papua) are the cluster with lower education quality and ICT development which impact their economic growth. Conclusions: The provinces in Indonesia are clustered into three group based on the education attainment and ICT indicators. Some provinces can directly implement e-learning; however, more provinces need to improve the education quality and facilities as well as the ICT infrastructure before implementing the e-learning.