• Title/Summary/Keyword: 기업성장주기

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A Study on the Characteristics and Policy Demand of the Unmanned Vehicle Industry in Gyeonggi-do (경기도 무인이동체 산업 특성과 정책수요)

  • Kim, Myung Jin
    • Journal of the Economic Geographical Society of Korea
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    • v.24 no.3
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    • pp.283-299
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    • 2021
  • As the intelligent revolution triggered by digital technology, unmanned vehicles such as self-driving cars, robots, and drones appeared, which brought about innovative changes in the industry. Gyeonggi Local government has established both an ordinance and a basic plan regarding unmanned vehicles. It is time to prepare a data-based policy by understanding the current state of the unmanned vehicle industry in the province. As a result of the survey, the unmanned vehicle industry in Gyeonggi Province is 25% of the nationwide, and more than 88% is concentrated in the southern part of Gyeonggi Province. The land sector such as the robot and autonomous vehicles are focused on 71.4% and the aviation sector such as drones are 26.7%. However, unmanned vehicle companies in Gyeonggi-do are mostly small-sized businesses with less than 10 years of experience and are in the stage of introduction and growth level. They have a plan to improve technology through continuous R&D by hiring human resources. Therefore, Gyeonggi-do needs to consider policy support for sustainable growth of start-up and small enterprises and for fostering professional manpower and technical skills as well as for establishing an unmanned vehicle industry network to create, share, and spread knowledge.

Foreign Water Demand Prediction for Foreign Market Development of Seawater Desalination (해수담수화 플랜트 해외시장개척을 위한 국외물수요 예측 : 중동 및 북아프리카 지역)

  • Kang, Dae-Su;Yang, Jeong-Seok;Sohn, Jin-Sik
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.889-893
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    • 2010
  • 전 세계적으로 기후변화에 따른 주기적인 가뭄 현상과 기상 이변으로 인해 물 부족 사태는 심각해져 가고 있으며(UNEP은 물 기근에 시달리는 세계 도시 곳곳에 사는 많은 사람들은 2000년 5억 명에서 2025년 40억 명까지 증가할 것이라고 추측하였다), 산업화 이후 인구의 증가와 산업의 발달에 따른 삶의 질을 향상시키기 위한 물의 수요 또한 증가하고 있는 추세다. 그러나 인간이 사용 가능한 수자원은 지구상에 존재하는 물의 3% 이내로 한정되어 있으며 산업발달 및 도시화에 따른 지표수의 바다로의 유출 또한 빨라져 지하수개발, 하수재이용, 인공강우 및 해수담수화 등의 대체수자원의 개발이 요구되는 실정이다. 본 연구에서는 Global Water Intelligence(GWI)의 자료를 기초로 하여 중동 및 북아프리카 지역 20개 국가를 대상으로 생활 용수 자본지출 추세, 공업용수 수요 시장규모 성장추세, 이용가능한 수자원 및 그에 따른 사용 중인 수자원 비율, 2007년 기준 물 부족 인구, 2011년~2016년 물 부족 인구를 조사 및 분석하였다. 용도별 생활용수 공업 용수의 추세 분석 기간은 2008년부터 2016년까지 실시하였으며 평균 연감 증가 백분율 5%이상 국가를 선정하였다. 중동 및 북아프리카 지역 20개 국가 중 18개 국가가 생활용수 자본지출 연감 증가 백분율 5%이상의 높은 수요 전망을 보였으며, 공업용수 수요 시장 전망은 높은 성장성을 보이며 큰 규모의 주요 2개 국가가 선정되었다. 또한 20개 국가 각각의 이용 가능한 수자원 및 그에 따른 사용 중인 수자원 비율, 2006년 기준물 부족 인구, 2011~2016년 물 부족 인구를 조사한 결과 전체 20개 국가 모두 물 부족 국가로 산정되었으며, 20개 국가 모두 해안지역에 위치해 있어 해수담수화 시설의 건설 가능성이 높은 지역인 것을 확인하였다. 조사한 중동 및 북아프리카 지역 중 많은 수의 국가가 물 부족 현상에 시달리고 있으며 물 수요 시장 전망 또한 증가할 것으로 나타나 대체수자원의 필요성은 증대될 것으로 판단되며 그에 따라 본 연구는 향후 국내 기업들이 세계 해수담수화 시장에 진출하는데 있어 진출 전략 마련에 기초가 될 것이라고 판단된다.

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Extraction of the Key Performance Indicators of Construction Management Using Balanced Score Card (균형성과표를 활용한 건설사업관리의 핵심성과지표 도출)

  • Lim, Wooseok;Jung, Jihyun;Lee, Hakki
    • Korean Journal of Construction Engineering and Management
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    • v.16 no.6
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    • pp.22-30
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    • 2015
  • Enterprises should set up realizable goals and continually control the goals from apprehending whether they can be realized or not so that the enterprises grow consistently. Furthermore, from supplementing parts to be improved, goals are reset and the result should be controlled in order to fit to them. Lately, a lot of discussions about the results of organizations, projects, and companies are being realized in construction field. Particularly, in construction management, effective and professional control activities throughout the life cycle of facilities as well as the stage of business implementation of construction work are needed. About the result measurement of the construction management, lots of most domestic researches stay in the level of establishing basic concepts. Also, since characteristics of the construction field and the construction management were not reflected properly, it is in a situation that the result control system is not applied to on-site real works. Hence, this study intends to suggest fundamental data for measuring objective results from extracting result areas and key performance indicators of the construction management using Balanced Score Card.

Regulatory Policy for China Game : Toward a class of flags and cartes (중국 게임 규제정책 : 기패류 게임을 중심으로)

  • Li, Li;Song, Seungkeun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.10a
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    • pp.181-182
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    • 2016
  • The game policy in China takes the way of promoting the development of domestic enterprises through protecting the growth of those. In order to improve the development of domestic game industry, it will maintain the policy that restrict the import of overseas game. However, as to the domestic enterprise, it will develop the aid policy in the form of encouraging overseas export. For the characteristics of wide audience, long life term and easy to be developed, the class game of flags and cartes has become a very significant field of game industry. But for the gamble characteristics of the class game of flags and cartes, it also becomes the center for the government of making regulations and policies. This research aims to analysis the china game policies for the class game of flags and cartes and to find the strategy to entry into the china.

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Determinants of IPO Failure Risk and Price Response in Kosdaq (코스닥 상장 시 실패위험 결정요인과 주가반응에 관한 연구)

  • Oh, Sung-Bae;Nam, Sam-Hyun;Yi, Hwa-Deuk
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.5 no.4
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    • pp.1-34
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    • 2010
  • Recently, failure rates of Kosdaq IPO firms are increasing and their survival rates tend to be very low, and when these firms do fail, often times backed by a number of governmental financial supports, they may inflict severe financial damage to investors, let alone economy as a whole. To ensure investors' confidence in Kosdaq and foster promising and healthy businesses, it is necessary to precisely assess their intrinsic values and survivability. This study investigates what contributed to the failure of IPO firms and analyzed how these elements are factored into corresponding firms' stock returns. Failure risks are assessed at the time of IPO. This paper considers factors reflecting IPO characteristics, a firm's underwriter prestige, auditor's quality, IPO offer price, firm's age, and IPO proceeds. The study further went on to examine how, if at all, these failure risks involved during IPO led to post-IPO stock prices. Sample firms used in this study include 98 Kosdaq firms that have failed and 569 healthy firms that are classified into the same business categories, and Logit models are used in estimate the probability of failure. Empirical results indicate that auditor's quality, IPO offer price, firm's age, and IPO proceeds shown significant relevance to failure risks at the time of IPO. Of other variables, firm's size and ROA, previously deemed significantly related to failure risks, in fact do not show significant relevance to those risks, whereas financial leverage does. This illustrates the efficacy of a model that appropriately reflects the attributes of IPO firms. Also, even though R&D expenditures were believed to be value relevant by previous studies, this study reveals that R&D is not a significant factor related to failure risks. In examing the relation between failure risks and stock prices, this study finds that failure risks are negatively related to 1 or 2 year size-adjusted abnormal returns after IPO. The results of this study may provide useful knowledge for government regulatory officials in contemplating pertinent policy and for credit analysts in their proper evaluation of a firm's credit standing.

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A Study of the Core Factors Affecting the Performance of Technology Management of Inno-Biz SMEs (기술혁신형(Inno-Biz) 중소기업의 기술경영성과에 미치는 핵심요인에 관한 연구)

  • Yoon, Heon-Deok;Seo, Ri-Bin
    • Journal of Technology Innovation
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    • v.19 no.1
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    • pp.111-144
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    • 2011
  • This study is to confirm the core factors of innovative capabilities and technological entrepreneurship affecting the performance of technology management and business management of small and medium-sized enterprises (SMEs). Through the consideration about the complex natures of technological innovation affecting by multidimensional factors, this study designs the research model that innovative capabilities, the performances of technology and business management are arranged in accordance with the innovation process; input-output-outcome. To meet this research purpose, the hypothesis are set up based on the previous research studies and the research samples are selected from members of the Innovative Business (INNO-BIZ) Association, located in Seoul and Geyonggi province. As a result of regression analysis to the responses gathered from 360 firms, the performance of business management is influenced positively by the technology superiority, market growth and business profitability which are the dominant factors of performance of technology management. In addition, three sub-variables of innovative capabilities such as R&D, strategic planning and learning capability, have positive effects on both the managerial performances. Innovativeness and progressiveness of technological entrepreneurship affect both the performances positively. Moreover, the co-relation between technological entrepreneurship of an innovation leader and innovative capabilities of organizational members are identified. Lastly, technological entrepreneurship has the mediating effect on the path of leading innovative capabilities to the managerial performances. In conclusion, the research results imply that technological innovation-type firms should periodically evaluate the performance of technology management which are the output of technological innovations and the reinvestment for ultimate business success. And improving and developing innovative capabilities and technological entrepreneurship is required to continuously and consistently investing and supporting resources on technological innovations at the firm-and government-level. It is considered that these are the crucial methods for securing the technologically competitive advantage of SMEs with less resources and narrow innovation range.

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A Study on the Stereotype of ICT SMEs' R&D: Empirical Evidence from Korea (ICT 중소기업 R&D의 스테레오타입에 대한 연구 : 한국의 사례를 중심으로)

  • Jun, Seung-pyo;Choi, San;Jung, JaeOong
    • 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.

Study on Predicting the Designation of Administrative Issue in the KOSDAQ Market Based on Machine Learning Based on Financial Data (머신러닝 기반 KOSDAQ 시장의 관리종목 지정 예측 연구: 재무적 데이터를 중심으로)

  • Yoon, Yanghyun;Kim, Taekyung;Kim, Suyeong
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.17 no.1
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    • pp.229-249
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    • 2022
  • This paper investigates machine learning models for predicting the designation of administrative issues in the KOSDAQ market through various techniques. When a company in the Korean stock market is designated as administrative issue, the market recognizes the event itself as negative information, causing losses to the company and investors. The purpose of this study is to evaluate alternative methods for developing a artificial intelligence service to examine a possibility to the designation of administrative issues early through the financial ratio of companies and to help investors manage portfolio risks. In this study, the independent variables used 21 financial ratios representing profitability, stability, activity, and growth. From 2011 to 2020, when K-IFRS was applied, financial data of companies in administrative issues and non-administrative issues stocks are sampled. Logistic regression analysis, decision tree, support vector machine, random forest, and LightGBM are used to predict the designation of administrative issues. According to the results of analysis, LightGBM with 82.73% classification accuracy is the best prediction model, and the prediction model with the lowest classification accuracy is a decision tree with 71.94% accuracy. As a result of checking the top three variables of the importance of variables in the decision tree-based learning model, the financial variables common in each model are ROE(Net profit) and Capital stock turnover ratio, which are relatively important variables in designating administrative issues. In general, it is confirmed that the learning model using the ensemble had higher predictive performance than the single learning model.

A Study on Weight of SWOT Factors for Korea Food Service Franchise Entrepreneur (국내 외식프랜차이즈의 창업을 위한 SWOT요인의 중요도에 관한 연구)

  • Choi, Chae-Bong;Lee, Sang-Suk
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.12 no.5
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    • pp.141-162
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    • 2017
  • The International Monetary Fund (IMF) crisis introduced a system for easy layoffs. With recent economic downturn, employees have been asked to retire early and less new jobs have become available. More small businesses as a result have been started. The purpose of this research is to study weight and ranking on SWOT factors of korea food service franchise industry using the SWOT analysis. The Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP) were used to analyze the SWOT found by the surveys. First, the SWOT analysis shows that the franchise owners and the expert group view the industry positively overall and there are more strengths, opportunities than weaknesses, threats. While there are negatives and threats to the industry overall, many people think that there are more opportunities and positive aspects. Second, the franchise owners rank proven business model and platform (S3) as the strongest strength of food service franchise businesses while the expert group ranks management supports (S2) from headquarters as the strongest strength. Third, the expert group and franchise owner group indicate that the weight on unfair franchise contracts with headquarters(W3) and high penalty from breaking a franchise agreement(W4) are 60% of weaknesses. Fourth, both the expert group and franchise owner group indicate that change in people's lifestyle, value system and consumption pattern(O3) as the most important opportunity. Fifth, both groups indicate that changes in consumption pattern(T1) due to ever changing food service industry as the biggest threat. It is ranked higher than the entry of korea food service franchises.

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A Study on Recent Research Trend in New Product Development Using Keyword Network Analysis (키워드 네트워크 분석을 이용한 NPD 연구의 진화 및 연구동향)

  • Pyun, JeBum;Jeong, EuiBeom
    • Journal of Korea Society of Industrial Information Systems
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    • v.23 no.5
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    • pp.119-134
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    • 2018
  • Today, many firms face the environment of high uncertainty and severe competition due to the rapid technology development and the diverse needs of customers. In the business environment, one of the most important ways to gain sustainable competitive advantage and future growth engine is related to NPD (New Product Development), which is a very important issue for practice and academia. Thus, this study intends to provide new values to practitioners and researchers related to NPD by analyzing current research trends and future trends in NPD field. For this, we bibliometrically analyzed keyword networks which consist of keywords that were already published in the eminent journals from Scopus database to generate insights that have not been captured in the previous reviews on the topic. As a result, we could understand the extant research streams in NPD field, and suggest the changes of specific research topics based on the connected relationships among keywords over the time. In addition, we also foresaw the general future research trends in NPD field based on the keywords according to preferential attachment processes. Through this study, it was confirmed that NPD keyword network is a small world network that follows the distribution of power law and the growth of network is formed by link formation by keyword preferential attachment. In addition, through component analysis and centrality analysis, keywords such as Innovation, New product innovation, Risk management, Concurrent engineering, Research and development, and Product life cycle management are highly centralized in NPD keyword network. On the other hand, as a result of examining the change of preferential attachment of keywords over the time, we suggested the required new research direction including i) NPD collaboration with suppliers, ii) NPD considering market uncertainty, iii) NPD considering convergence with the other academic areas like technology management and knowledge management, iv) NPD from SME(Small and medium enterprises) perspective. The results of this study can be used to determine the research trends of NPD and the new research themes for interdisciplinary studies with other disciplines.