• 한국벤처창업학회:학술대회논문집
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• 2019.11a
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• pp.45-49
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• 2019

본 연구는 온라인 게임 아이템과 같은 가상재화가 현금 거래될 경우 온라인 게임 비즈니스에 미치는 영향을 정량적으로 추정하려 했다. 기존 연구문헌에서 온라인 상거래와 모바일 앱 유통에서 활용된 롱테일 분포 계량 추정 방법론을 이용하여 추정한 결과, 온라인 게임 거래소의 거래 아이템 총액은 약 1조 5천억 원으로 추정되었다. 이 중, 전문적인 작업장 매출 규모는 연간 약 8,700억원으로 아이템 중개 거래 사이트 게임 머니 및 게임 아이템 거래 총액 대비 58% 수준으로 추정되었다. 본 연구는 학문적 분석이 매우 제한된 온라인 게임 상의 가상재화 아이템의 현금거래에 대한 정량적 분석 시도라는 점에서 의의를 가지며 특히, 작업장 및 작업장의 게임에 미치는 영향을 정량 분석한 거의 최초의 연구이다. 다만, 아이템 거래시장에 대한 데이터 및 게임 운영에 대한 내부 정보가 제한되어 연구문헌에 기초를 둔 추정방법론을 활용하였으며 게임 산업계의 전문가들의 의견을 반영하여 추정한 분석 결과이다. 또한 본 연구는 작업장 및 불법 서버로 말미암아 발생하는 사회적 비용 등을 온라인 게임 서비스 제공 회사에 일방적 책임을 갖게 하는 것 보다는 사회 전반적인 관점에서 접근해야 한다는 정책적 시사점을 제시한다.

• Corrugated packaging logistics
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• s.110
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• pp.46-55
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• 2013

국내 패키징 산업의 규모와 현황을 분석, 추정하기 위하여 산업통상자원부와 생산기술연구원(패키징기술센터)이 '2012년 패키징 산업 통계조사'를 실시하였으며, 조사 결과 국내 패키징 산업 시장 규모는 지속적인 성장세를 보이고 있는 것으로 나타났다. 2011년도 패키징 산업 매출액 규모는 총33조 4,227억원으로 추정되었고 2010년(31조 2,932억원) 대비 68% 증가하였으며, 이는 세계 패키징 시장(약 6,700억 달라 2016년까지 8,200억 달러 3% 성장률) 성장률의 2배로 빠르게 증가하는 것으로 조사되었다. 이와 관련하여 '2012년도 패키징산업 통계조사 결과'를 요약한 내용 전문을 한국생산기술연구원 패키징기술센터로부터 입수 받아 본 잡지에 게재하오니 독자 여러분의 많은 활용 바랍니다.

• 프린팅코리아
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• v.8 no.2
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• pp.76-81
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• 2009

기업은 물론이고 학교, 병원, 공공단체, 비영리기관 등 다양한 곳에서 사보를 제작하고 있다. 현재 사보는 총 3천여 종이 발행되고 있는 것으로 추정되고 있는데, 각 사보는 최소 백권 단위에서 몇십만 권까지 다양하게 발행되고 있다. 과거의 사보는 사내보는 2도 인쇄로 사외보는 4도 인쇄로 진행되었는데, 지금은 사외보는 물론이고 사내보에도 펀치, 압연, 특수가공, 특수코팅, 홀드(접지), 실크스크린 등의 가공 처리한 사보들이 쏟아져 나오고 있다. 인쇄사의 매출에도 큰 축을 이루고 있는 것이 바로 사보다. 이에 김흥기 한국사보협회 회장을 만나 사보의 특징과 영향 그리고 한국사보협회에 대해 들어보았다.

• Knowledge Management Research
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• v.24 no.2
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• pp.87-115
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• 2023

This study aims to examine the causal relationships between sales and employment for public technology-based startups. Although there is a limit to statistical generalization due to the poor understanding of the actual conditions of public technology start-up companies, these companies were analyzed by classifying them into high-growth companise, potential growth companies, and other companies. In order to understand the causal relationship, and to estimate the time required to be effective, panel vector autoregression was applied. As a result, the performance creation mechanism was identified as government supoort and private investment was mutually causal with employment, sales did not cause employment, and employment caused sales. In other words, it was found that employment plays an mediator role in public technology based startups' performance mechanism. In addition, private investment had the effect of improving employment and sales in the short time than governments support, and showed that firms with high employment can attract government support and private investment. This study are academically meaningful in that they empirically revealed the process of performance creation, whereas previous studies had only shown whether there was an effect on performance. It also has a policy contribution by suggesting the need for effective policy promotion by considering the 'employment' factor, such as human resource support, as more important.

• Journal of Navigation and Port Research
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• v.39 no.1
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• pp.69-75
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• 2015

The concrete purpose of this study is to suggest actually a debt ratio to optimize the capital structure providing a kind of approach to estimate the proper debt ratio with an analytical model and empirical data in Korean shipping industry. The mathematical and analytical model is started from the first equation about ROE, return of net operating income on equity, with an independent variable, debt ratio. It is constructed with several parameters, ROS(return of operating income on sales), TAT(total assets turnover), and NFCL(net finance cost to liabilities). There could not be a certain relationship between debt ratio and ROS or TAT, while some correlation or causality between debt ratio and NFCL. In other words, most of firms with high debt ratio is likely to burden higher finance cost than others with low one. In this case, there is a linearity relationship between debt ratio and NFCL, so then the second equation considering this relation could be included within the analytical approach of this paper. To be short, if the criteria of adequate debt ratio has to be defined as some level of debt ratio to optimize ROE, the ROE could be illustrated as a quadratic equation to debt ratio from two equations. Next, this research estimated those parameters' numbers through the single regression method with data over 12 years of Korean shipping industry, and identified empirically the fact that optimal debt ratio would be approximately 400%. To conclude, if that industry's sales and operating incomes are stable, the debt ratio could be accepted until twice of 200% had forced in order to guarantee its financial safety in past time.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2009.04a
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• pp.262-264
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• 2009

국내 마케팅 시장은 전체 분야에 걸쳐 출혈경쟁이 이뤄지고 있다. 이와 같은 환경에서 기업들이 올바른 의사결정을 통해 경쟁력을 확보하려면 시장의 잠재력을 정량적으로 파악하는 노력이 필요하다. 특히, 배후지의 인구, 직장인, 그리고 유동인구 규모 등은 시장의 잠재력을 판단하는 기본 정보다. 배후지의 인구와 직장인 정보는 국가통계 자료 등을 활용하거나 기타 추정방법에 의해 산정되어 활용되고 있다. 하지만, 유동인구에 관한 정보는 실제 거리에 나가 인구를 측정하여 활용하는 방안 외에는 마땅한 추정방법이 없는 실정이다. 이러한 이유로 유동인구가 매출에 직접적인 영향을 주는 기업들은 많은 시간과 인력을 투입하여 유동인구 수를 측정하고 있다. 하지만, 비용적인 측면에서 한계가 있다. 본 연구에서는 Point 기반의 인문사회 Spatial DB를 활용하여 전국단위의 유동인구를 추정하는 방법론을 제안했다. 또한, 유동인구 정보에는 연령 및 성별 비율까지 추정하여 다양한 활용이 가능하도록 하였다.

• Convergence Security Journal
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• v.8 no.3
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• pp.83-92
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• 2008

In respect complication of group and period, the sales of retail trade is composed of various factors. This paper studies focus on estimating the determinants of the sales of retail trade. The volume of analysis consist of 7 groups. Analyzing period be formed over a 36 point(2005. 1$\sim$2007. 12). In this paper dependent variable setting up sales of retail trade, explanatory(independent) variables composed of composite stock price index, the number of the consumer's online buying behavior company, the coincident composite index, the index of trading price of APT, employment rate, an average of the rate of operation(the manufacturing industry), the consumer price index. The result of estimating the determinants of sales of retail trade provides empirical evidences of significance positive relationships between the coincident composite index, the index of trading price of APT, employment rate, an average of the rate of operation(the manufacturing industry). However this study provides empirical evidences of significance negative relationships between the consumer price index. The explanatory variables, that is, composite stock price and the number of the consumer's online buying behavior company, are non-significance variables. Implication of these findings are discussed for content research and practices.

• Journal of Korea Port Economic Association
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• v.34 no.4
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• pp.53-68
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• 2018

This paper analyzes comparatively business performance indicators and determinants of small and medium sized shipping logistics companies in Korea, using 2015 economic census data. For this purpose, this study estimates various business performance indicators according to 2015 small and medium sized companies classification standards, including operating income to sales and gross value-added to sales. In addition, this study analyzes determinants of business performance using generalized least squares models. The results indicate that average sales, operating income and value-added, sales and operating income per worker, operating income to sales, and material cost to sales of large sized companies are higher than those of small and medium sized companies. The business performance indicators differ by industry and size. Moreover, the determinants of business performance are analyzed in terms of the unemployment rate (-), number of employees (-), sales (+), labor cost ratio (+), and labor cost per employee (-) and the impacts of the individual explanatory variables based on elasticity are different. Finally, this quantitative information could be used to improve the business performance of domestic shipping logistics companies.

• Journal of the Korean Data and Information Science Society
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• v.20 no.1
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• pp.117-124
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• 2009

If time series data with seasonal effect exist, various statistical models like winters for successful forecasts could be used. But if the data are not enough to estimate seasonal effect, not much methods are available. This paper proposes the statistical forecasting method based on cumulative data when the data are not enough to estimate seasonal effect. We apply this method to real cosmetic sales data and show its better performance over moving average method.

• The Journal of Bigdata
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• v.4 no.2
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• pp.185-194
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• 2019

In the 100-year history of Korean films, Korean films have grown to more than 100 million viewers every year since 2012, and their total sales are estimated at 1 trillion. It is assumed that the influence on the popularity of Korean movies is related to 2012, when 60% of smartphone penetration rate and 30 million subscribers exceeded. As a result, before and after 2012, changes in movie boxing factor variables were needed, and the prediction model trained as a new independent variable was applied to actual data.