• Title/Summary/Keyword: Small Firms

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The Impact of University Knowledge Capital on the Local Business Activity in Korea (대학의 지식자본이 지역의 기업활동에 미치는 영향)

  • Kim, Seon Jae
    • The Journal of the Korea Contents Association
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    • v.18 no.2
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    • pp.450-458
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    • 2018
  • The purpose of this study is to investigate the impact of university knowledge capital on the local business activity in the Korean local governments in the year 2015. We found that the increase of the standard deviation of university patent, scientific publications, incumbent firms, and industrial property rights raised the number of new knowledge-intensive firms to 15%, 11%, 54%, and 22%, respectively, in the local economy. In addition, the coefficient which reflects the interaction effects of the knowledge capital between universities and local industries was significant in the given area in the year. On the other hand, in the control variables, the coefficients for the size of local government, population density, and percentage of 20s~40s out of the total population in the local government were significant, showing above 90% level except for the variable of the distance between a local government and Seoul. In particular, when the knowledge capital of the university and industry coexists, the synergistic effect which has influence on the foundation of knowledge-intensive firms was meaningful despite the small scale, and these two types of knowledge capital could be complementary in creating new knowledge-intensive firms in the Korean local economy.

Regional linkages of Producer Service -A Case Study of Chinju Region- (생산자서비스의 지역적 연계 -진주지역을 중심으로-)

  • Kim, Duk-Hyun
    • Journal of the Korean association of regional geographers
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    • v.2 no.1
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    • pp.1-24
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    • 1996
  • This paper is a case study on regional linkages of producer services in Chinju region. Producer service appeared as the most rapid growth sector in service industry. In Chinju region. manufacturing firms purchase generalized producer service within the region. However the higher-order service, they demand; the remoter metropolis especially Seoul, they depend on. Linkage patterns among manufacturing sectors are similar; but then the firms whose managers are from Chinju or Gyeong-nam region had stronger regional linkages than others. Public institute such as Chamber of Commerce & Industry, University Research Institute of Industrial Technology. Korea Technology Credit Guarantee Fund, Korea Silk Research Institute have made important role as suppliers of public producer services in Chinju Region. As present stage, their services of industrial technology, fiancing, and information are not only fit regional demand but also spatially limited within region. The facts that large firms purchase high-order services from other region and small firms have not good demand of producer service suggest regional policy implication about supplying relevant producer service in the region.

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A Study on the Service Quality of Smart Factory Support Policy Using Kano Model and PCSI (Kano 모델과 잠재적 고객만족개선지수(PCSI)를 활용한 스마트 공장 지원정책의 품질속성 분석)

  • Kim, Hosung;Ji, Ilyong
    • Journal of the Korea Convergence Society
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    • v.11 no.3
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    • pp.9-18
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    • 2020
  • As the 4th industrial revolution has been an emerging issue, the government and industry has paid increasing interest to smart factory. The Korean government has made efforts to establish smart manufacturing capabilities of small-to-medium sized firms by providing supports for smart factory. However, the effectiveness of the supports and satisfaction of firms have hardly been analyzed. This study aims to analyze firms' satisfaction by attributes of policy suuports for smart factory and identify priorities for government supports. The results show that 8 out of 11 attributes were one-dimensional and 3 were attractive attributes. Among the 11 attributes, funding support was the top priority. The attributes such as dispatching external experts, consulting for sophistication of smart-factory, and consulting for maintenance and repair were also high priorities. These results imply that firms prefer supports for maintenance and sophistication to adoption or initial establishment of smart factory.

Structural Change and Employment in Manufacturing Sector -Polarization by Firm Size- (제조업 고용구조변화의 특징 분석)

  • 고상원
    • Journal of Technology Innovation
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    • v.7 no.1
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    • pp.14-35
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    • 1999
  • This paper presents the relationship between the pace of structural change and the magnitude of employment growth in the manufacturing sector in OECD countries. To measure the pace of structural change, the compositional change index in value-added in manufacturing sector is introduced. For mid to long-term there seems to be a positive relationship between the pace of structural change and the magnitude of employment growth. In those countries with higher value of the compositional index, the employment growth in manufacturing sector was generally higher. To analyse the characteristics of structural change in manufacturing sector, this paper classifies manufacturing industries into groups: one based on technology, one on orientation, one on wages and one on skills. The international comparison of manufacturing sector's employment patterns based on above four classifications are presented. International comparison suggests that Korean manufacturing sector move into jobs with more skills and knowledge The structural change of SMEs and large firms are compared based on above four classification methods. It is shown that SMEs' employment in low value sectors, that is low-technology, labor-intensive, tow-wage, and unskilled sectors, have risen faster than SMEs' employment in high-technology, science-based, high-wage and skilled sectors. Large firms' employment have been mainly increased in high value sectors. However, the employment growth of both large and small firms have been concentrated on production worker-intensively-using sectors, i.e. unskilled sectors. This widened the wage differential of production workers by firm sizes and concurrently led to severe shortage of production workers for SMEs, which has little ability to pay high wage to production workers because they usually belong to low-wage sectors. Korea need to push SMEs forward to high value sectors. The premise of that is, however, to pull large firms out of production worker-intensively-using sectors.

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Anlaysis on Perference of Appropration Methods in Korean Manufacturing: Focusing on Patents and Trade Secrets (한국제조기업의 전유방법 선호분석: 특허와 영업비밀을 중심으로)

  • Kim, Sang-Sin;Choi, Seok-Joon
    • Journal of Technology Innovation
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    • v.24 no.2
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    • pp.143-175
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    • 2016
  • In this study, we have analyzed the impact of firm, innovation and industry characteristics on firm's appropriation strategy focusing of the relative preference of patents and trade secrets by using the Korea Corporate Innovation Survey 2005, 2010 and 2014 data. According to the analysis results, companies with characteristics such as venture, high-technology industry, receipt of public R&D subsidies, performing product innovation, high R&D expenditure, prefer patents to trade secrets relatively. However, firm size and R&D cooperation did not have a statistically significant effect on the relative preference. This shows that policy on appropriation system considering the industry characteristics may be more effective. Companies in the industries with a high market concentration showed that trade secrets are preferred, especially these characteristic was distinctly in small and venture companies. This means that the increase in strategic patent applications of the incumbent firms is able to restrict the patent activities in small and venture companies. Because the excessive increase in strategic patents is likely to constrain the innovation activities of small and venture firms ultimately, policy initiatives to limit the abuse of strategic patent applications is required.

A Study on Customs Clearance Procedure of Korea and China to Vitalize Online Export of Korean (중국 통관제도 개편에 따른 해외직판 활성화 방안)

  • YU, Kwang-Hyun
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.70
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    • pp.135-157
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    • 2016
  • Globalization of consumption, expansion of cross border e-trade, increase use of internet and mobile have led to rapid growth of world e-commerce particularly in Asia and emerging markets. Impacted by Korean wave, online export is continuously increasing, yet Korea is experiencing severe e-commerce trade imbalance. Export growth rate and ratio of Korean small companies are relatively low from OECD member countries. Therefore, Korean government is currently emphasizing on vitalization of online export to China to resolve trade imbalance and to increase export of small companies. To propose detail measures to vitalize online export to China, this study is focused on export customs clearance procedure of Korea and import customs clearance procedure of China in view of online export company. Also suggested countermeasure plan and analysis for the new tax revision plan related to e-commerce which implemented on April 8th 2016. This study have grouped countermeasure plan by short term plan of firms and long term plan of the government. As for the short-term countermeasure plan for firms, first, comparison analysis of tax rate on products is need to decide type of e-commerce strategy; second, if planning to start e-commerce business to China, sales possibility and certification check is necessary; third, through preparation of customs clearance document is needed; last in order to obtain price competitiveness, new logistics strategy and packing development is required. As for the long-term countermeasure plan for the government, I have suggested cooperated bonded logistics service for small businesses and operation plan of show room for promising Korean products.

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Technology Financing for Export-Import based Small and Medium Sized Enterprises: Focused on Supported Enterprises by the Export-Import Bank of Korea (수출입 중소기업의 기술금융에 관한 연구: 한국수출입은행 지원기업을 중심으로)

  • Lee, Gem-ma;Kim, Sang-Bong
    • Journal of Digital Convergence
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    • v.14 no.7
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    • pp.11-20
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    • 2016
  • This study examines the possibility of implementing the technology financing for export-import based small and medium sized enterprises. Our sample consists of 2,753 small and medium sized enterprises, receiving financial support from the Export-Import Bank of Korea for the period of 2011-2013. We find that only 400(200) firms reserve IPs(patents) annually. Given that IPs are likely to concentrate on manufacturer industries such as electronic components, computers, video, sound and communication equipment manufacturing(KSIC 26), other machinery and equipment manufacturing(KSIC 29), manufacture of motor vehicles and trailers(KSIC 31). We also find that the total assets, sales and R&D expenses of IP holding companies greatly exceeds those of companies without IPs. In addition, IP holding companies' liquidity seems slight edge and the leverage ratio is somewhat lower. However, profitability ratios of IP holding companies are rather than harsh or similar level. 20~30% of IP holding firms show very week credit scores, implying that banks' default risk is expected to be significant.

Auditor Selection and Earnings Management of KOSDAQ IPO Firms (KOSDAQ 신규상장기업의 상장 후 감사인 선임 의사결정과 회계정보의 품질)

  • Lee, Woo Jae;Choi, Seung Uk
    • The Journal of Small Business Innovation
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    • v.20 no.3
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    • pp.1-17
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    • 2017
  • There is a serious information asymmetry between internal managers and outside investors in the process during IPOs. One mechanism that mitigates this information asymmetry is a high quality auditor. Since prior research document auditors' effect on newly listed firms at the IPO year, what has not yet been revealed in previous studies is the behavior of firms and auditors after listing. In this study, we investigate (i) the firms tendency of contracting with Big N auditors, and (ii) the effect of Big N auditors on accounting quality after the years of IPOs. Using a sample of 7,678 (1,892 firm-years of after IPOs, and 5,786 control firm-years) KOSDAQ observations between 2002 and 2012, we find that the likelihood of contracting with Big N auditor lasts only for two years after IPO compare to that of non-IPO control years. Secondly, we find that the effect of Big N auditors on clients' earnings management lasts for a very short period after IPO. These findings suggest that although prior literature argue that Big N auditors reduce earnings management of their clients, at least the period right after IPO, it is not consistent. Our study contributes to the existing literature in several ways. First, we provide new evidences of firms' auditor selection decisions by investigating years after the listing. In second, as an evidence of accruals reversal, we document decrease in discretionary accruals after IPOs. Third, we find that there is not always a positive relation between Big N auditor and accounting quality by showing the insignificant Big N auditor effect after IPOs. Our results also suggest several implications to IPO related stakeholders. First, to IPO firms, we provide evidences that decisions of hiring auditors affect firms earnings. Also, lead IPO underwriters may consider how these decisions influence future performance. Second, investors may want to use information not only in the preofferings but also after public offerings. Our study insists that auditor hiring decisions affects their own welfare. Finally, accounting standard setters may find these results useful for evaluating how much discretion they should allow corporate managers to hire auditors. In addition, our result casts doubt on auditor designation.

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Type and Dependency of R&D Cooperation Partners and Innovation Performance: An Empirical Study with Korean Venture Firms (R&D 협력 파트너 유형 및 의존도와 혁신의 성과: 한국 벤처기업들을 대상으로 한 실증연구)

  • Kim, Nami;Kim, Eonsoo
    • The Journal of Small Business Innovation
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    • v.19 no.4
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    • pp.1-17
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    • 2016
  • The purpose of this study is to suggest an efficient way for ventures to achieve innovation performance through R&D cooperative arrangements. Achieving innovation is one of the critical factors for the survival of ventures. Unlike established firms, ventures often do not have the specialized assets necessary to take technological developments to the product and market stages. Young and resource-constrained firms can achieve innovation by finding and accessing to the complementary resources from R&D cooperation. In the current business environment, many firms are likely to engage in multiple simultaneous R&D cooperations with different partners. Recent research stream addresses the importance of efficient cooperation management from the holistic portfolio perspective. Since maintaining the multiple cooperative relations require substantial amount of time and effort, managing cooperative relationships play a more important role to resource-constrained firms. In order to find an efficient composition of R&D cooperative partners, we mainly focus on the diversity of partner type and dependence level in partnership. We analyze the data on Korean manufacturing ventures collected in the Korean Innovation Survey (KIS) which was conducted by the Science and Technology Policy Institute (STEPI). The KIS questionnaire assesses the existence of cooperative relationships with different types of partners respectively. The types of cooperating partners are affiliated companies, suppliers, clients & customers, competitors or other firms in the same industry, consulting firms, universities, and research institutes. We confirm that ventures obtain relatively higher benefits from R&D cooperation compared with established firms in terms of innovation performance. The results show that a moderate level of diversity in cooperative partner type composition increases innovation. Moreover, diversity of cooperation dependency among the partners enhances innovation performance. Likewise, concentrating on the quality aspects of cooperative composition, such as diversity of partners and degree of dependencies, this study offers some implications for ventures in managing partners from an integrative perspective.

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The effect of Big-data investment on the Market value of Firm (기업의 빅데이터 투자가 기업가치에 미치는 영향 연구)

  • Kwon, Young jin;Jung, Woo-Jin
    • 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.