• Journal of Venture Innovation
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• v.6 no.4
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• pp.1-21
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• 2023

This study is related to the performance of open innovation collaboration between startups and large corporations and financial institutions. In the life cycle of a typical company, the growth of a startup is difficult to predict. Startups that possess innovative technology but have only recently been established seek to verify their technology and capabilities by participating in open innovation with large corporations and financial institutions, and further strive to lay the foundation for corporate growth. However, if you approach it only as a theoretical coexistence plan, it will be viewed as a vague attempt from the startup's perspective. The purpose of this study is to differentiately verify the benefits of open innovation by analyzing the difference in sales growth of startups for the purpose of sales performance based on the open innovation participation of large companies and small and medium-sized companies(startups). In verifying this, the analysis was based on the sales results of the actual open innovation collaboration B2C model, and the difference was confirmed by comparing before and after collaboration. Here, the differentiation of the study was added by reflecting the corporate growth stage theory, a growth theory. When the corporate growth stage theory was excluded, it was confirmed that sales growth due to open innovation of startups was applied from the third month, and sales growth depending on participation was confirmed to be significant. On the other hand, when the corporate growth stage theory was applied, sales growth was not significant, but the difference in growth could be confirmed from the fourth month, and it was also confirmed in sales growth depending on participation. As a result, this study objectively confirms the effects that can be gained when startups participate in Open-innovation, and it is expected that Open-innovation led by large corporations, financial institutions, and government agencies will develop into a high-quality program environment.

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.199-206
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• 2022

As the OTT video service has grown, much attention has been paid to its impact on the traditional media market. This study explores how the OTT video service(measured as OTT subscription revenue, OTT advertising revenue, and Netflix effect) has impacts on the traditional media market(measured as pay TV subscription revenue, media advertising revenue, and broadcast advertising revenue), using the panel dataset with 50 countries from 2012 to 2020. For pay TV subscription revenue, OTT subscription revenue is positively associated with the revenue while Netflix and broadband diffusion have negative associations. For media advertising revenue, OTT advertising revenue is positively associated with the revenue while broadband diffusion has negative association. For broadcast advertising revenue, OTT advertising revenue is positively associated with the revenue while broadband diffusion has negative association.

• The Science & Technology
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• v.32 no.6 s.361
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• pp.73-77
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• 1999

지난 20년간 세계에서 가장 빠른 성장률을 구가하던 퍼스널 컴퓨터(PC)가 최근에 와서 성장률이 멈칫거리기 시작했다. 컴퓨터 값이나 매출고는 벌써부터 답보상태에 머물고 있다. 세계 컴퓨터의 본고장인 미국의 컴퓨터업계는 1999년에도 매출고성장률이 지난해 보다 15% 정도 올라갈 것으로 예측하고 있으나 이것은 1990년대 중반의 성장률 35%에 비하면 반에도 미치지 못한 것이다. 더욱이 값이 떨어지면서 컴퓨터업계의 매출고는 전년도에 비해 5% 밖에 신장하지 못할 것으로 보고 있다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.2
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• pp.51-78
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• 2021

Followed by 'start-up', the theme of 'scale-up' has been considered as an important agenda in both corporate and policy spheres. In particular, although it is a term commonly used in industry and policy fields, even a conceptual definition has not been achieved from the academic perspective. "Corporate Growth" in the academic aspect and "Business Growth" in the practical management field have different understandings (Achtenhagen et al., 2010). Previous research on corporate growth has not departed from Penrose(1959)'s "Firm as a bundle of resources" and "the role of managers". Based on the theory and background of economics, existing research has mainly examined factors that contribute to firms' growth and their growth patterns. Comparatively, we lack knowledge on the firms' growth with a focus on 'annual revenue growth rate'. In the early stage of the firms, they tend to exhibit a high growth rate as it started with a lower level of annual revenue. However, when the firms reach annual revenue of more than 100 billion KRW, a threshold to be classified as a 'middle-standing enterprise' by Korean standards, they are unlikely to reach a high level of revenue growth rate. In our study, we used our sample of 333 companies (6.7% out of 5,000 'fastest-growing' companies) which reached 15% of the compound annual growth rate in the last three years with more than USD 100 million. It shows that sustaining 'high-growth' above a certain firm size is difficult. The study focuses on firms with annual revenue of more than $100 billion (approximately 120 billion KRW) from the 'Inc. 2020 fast-growing companies 5,000' list. The companies have been categorized into 1) Fast-growing companies (revenue CAGR 15%~40% between 2016 and 2019), 2) Hyper-growing companies (40%~99.9%), and 3) Super-growing (100% or more) with in-depth analysis of each group's characteristics. Also, the relationship between the revenue growth rate, individual company's strategy choice (market orientation, generic strategy, growth strategy, pioneer strategy), industry/market environment, and firm age is investigated with a quantitative approach. Through conducting the study, it aims to provide a reference to the 'Hyper-Growing Model' that combines the paths and factors of growth strategies. For policymakers, our study intends to provide a reference to which factors or environmental variables should be considered for 'optimal effective combinations' to promote firms' growth.

• Journal of Digital Convergence
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• v.15 no.9
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• pp.147-153
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• 2017

This research empirically analyzes not only the direct impact of the external technological information network diversity of small and medium-sized enterprises (SMEs) on the sales growth from their technology development but also the mediating impact of their productivity improvement and the moderating effect of the technology development driven by CEO on this direct impact in order to deepen the research stream on SMEs' external technological information network. Based on the ordinary least squares regression by using 2,200 data of South Korean SMEs, this study reveals the three findings. First, SMEs' external technological information network diversity positively influences their sales growth from technology development. Second, SMEs' productivity improvement partially mediates this positive influence of the external technological information network diversity. Third, SMEs' technology development driven by CEO moderates the positive influence.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.71-78
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• 2018

The purpose of this study is to investigate the impact of win-win growth activity of domestic large firms on their management performance. we classified the management performance into four factors such as ROE(Return On Equity), ROA(Return On Assets), net income to net sales and operating income to sales. The finding of this study is outlined as follows. This paper show that the win-win growth activity has a negative impact on the firms' management performance. This study shows that win-win growth activity could generate additional costs of business activity. So, we think that industrial policy is needed for expansion of win-win growth activity.

• Proceedings of the KAIS Fall Conference
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• 2010.11b
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• pp.712-715
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• 2010

사회적 기업에 관한 선행연구 중 Dorado(2006)는 사회적 기업이 구성원개인의 파트너십이나 네트워크를 통하여 조직의 목표를 성취한다고 주장한 바 있다. 그리고 Social Firms UK(2007)가 발표한 Values-Based Checklist에서는 사회적기업의 경우 조직의 성취목표가 기업생존에서 고용성장을 거쳐 권한위임단계로 발전해 간다고 주장했다. 본 연구는 사회적 기업의 네트워크 구조와 네트워크 관계가 과연 국내 사회적 기업의 발전단계에 미치는 영향을 구조방정식을 통하여 살펴보고자 한다. 본 연구의 조사대상은 전문가의 추천받아 서울, 경기, 부산, 경남 등지의 사회적 기업을 직접 방문하여 사례 연구를 위한 인터뷰를 실시하였다. 뿐만 아니라 실증연구를 위해 400장의 설문지를 배부하여, 그 중 유효한 215장을 사용하였다. 본 연구의 결과는 다음과 같다. 첫째, Bruderl & Preisedorfer(1998)의 모형보다 Haugh( 2007) 모형이 한국의 일자리제공 형 사회적 기업에 적합하다는 것을 검증하였고, 둘째, 구성원의 다양한 네트워크구조는 기업생존과 고용성장에 유의한 영향을 주며, 셋째, 구성원의 강한 네트워크 관계는 고용성장과 매출성장에 유의한 영향을 준다. 넷째, 사회적 기업의 생존은 네트워크구조와 매출성장에 완전매개효과를 나타내며, 다섯째, 사회적 기업의 생존은 네트워크구조와 고용성장에 부분매개효과를 나타낸다. 이상의 연구결과를 통해 다음과 같은 시사점을 얻을 수 있다. 사회적 기업의 구성원의 다양한 외부 네트워크는 사회적 기업의 생존에 도움을 주며, 이러한 사회적 기업의 생존은 외부인들에게 더욱 더 강한 신뢰와 친밀감을 주어 사회적 기업으로 하여금 고용과 매출성장을 동시에 추구는 DBL기업으로 발전시켜 나간다.

• The Optical Journal
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• s.99
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• pp.57-63
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• 2005

1980년 일본광산업기술진흥협회(OITDA)가 설립된 이후 지속적인 성장을 거듭해 온 일본의 광산업은 설문조사가 시작된 이후 처음으로 전세계적인 IT 침체의 영향으로 인해 2001년 한해 마이너스 성장(-15.1%)을 기록했다. 그러나 광산업은 다른 어떤 산업분야보다 훨씬 빠른 속도로 회복하여 다음해인 2002년에는 2.7%의 플러스 성장을 기록했고 다음해인 2003년에는 성장 곡선을 그대로 유지해 전년도 성장 예측 치를 뛰어넘는 19.8%라는 기록적인 성장을 달성했다. 2004년에는 8조 엔의 매출(전년도 대비 13.8% 성장)을 기록했고 2005년에는 9조엔(10.4%상향 조정)이상의 매출 목표를 세우고 있다. 이처럼 일본의 광산업은 계속해서 성장해 나갈 것이며 고부가가치 산업 중 하나로서 일본 경제 회복의 일익을 담당하고 있다.

• Analyses & Alternatives
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• v.8 no.1
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• pp.59-85
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• 2024

This study examines the impact of the development of the artificial intelligence (AI) industry on the economic growth of South Korea. The study uses variables such as the revenue and patent applications of AI-related companies, as well as industry-specific total factor productivity and GDP, to estimate the effects. The results suggest that the growth of the AI industry has a positive effect on the economic growth with a lag of about one year. Specifically, the effect of government AI revenue on GDP growth appears to be greater than that of private companies or consumer-focused AI revenue. This indicates that government policies aimed at promoting the diffusion of the AI industry have had significant effects. The study notes that the period covered by the AI industry survey data is relatively short, and there is a lack of detailed data for the manufacturing sector. I suggest that further improvements and accumulation of data could lead to more robust results.

• Journal of Korean Society of Transportation
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• v.22 no.3 s.74
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• pp.17-26
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• 2004

항공운송산업에서 항공화물이 차지하는 비중이 점차적으로 확대되고 있으며 향후 2020년(보잉은 2022년)까지의 성장률도 보잉과 에어버스에서는 여객 수요보다 화물수요가 각 1.3%, 0.8%의 높은 성장을 거둘 것이라는 전망을 하고 있다. 특히 에어버스에서는 아시아 태평양 지역 역내와 중국 발 유럽행의 항공화물이 평균 7.0%의 높은 성장을 할 것으로 전망하고 있다. 이러한 높은 성장 전망 외에도 항공화물이 항공운송산업 혹은 세계경제의 선행지표로도 사용되고 있다. 이렇듯 항공운송산업에서 항공화물 부문의 역할이 점차적으로 증대되고 있어 본 연구에서는 항공화물 사업부문에 많은 활동을 하고 있는 항공사의 효율성이 그렇지 않은 항공사의 효율성을 비교하는 연구를 하였다. 먼저 항공 화물 매출액 기준 상위 10개사(2002년 기준)의 효율성을 자료포락 분석(DEA, Data Envelopment Analysis)을 이용 분석하였다. 그리고 이를 이용하여 항공사 전체 매출액 상위 10개사(화물 매출액 상위 10개사를 제외), 미국의 9개 항공사(상위 50대 항공사 중), 기타 10개사를 선정하여 각각의 효율성 비교를 통하여 항공화물 사업을 활발히 하는 항공사와 그렇지 않은 항공사와의 효율성에 대해 상대적 비교를 하였다. 이를 통해 항공화물 사업 부문이 항공사의 경영 효율성에 미치는 영향에 대해 간접 비교를 시도하였다. 분석 결과 항공운송사업중 항공화물 부문이 상위 10대 항공사 효율성이 다른 그룹의 항공사 보다 높게 제시되었다. 이는 항공사의 운송 사업을 화물 운송과 여객 운송 부문의 공동 네트워크의 활용을 통한 시너지 효과를 통해 항공사 효율성을 높일 수 있음을 의미한다.