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지역 간 특성에 따른 소매점의 효율성 차이 및 결정요인 분석
고경완 ( Kyungwan Ko ),김대철 ( Dae Cheol Kim ) 한국생산성학회 2016 生産性論集 Vol.30 No.1
This study analyzes the relative efficiency of chain stores according to regional characteristics and identifies its factors. In this study, the efficiency of 321 chain stores is measured by DEA model and its factors are identified by Tobit regression model. Three inputs(store size, number of items, and number of employees) and two outputs(sales and number of customers) are used for the DEA model. As a result, only 3 ∼6% of the stores are efficient and the average technical efficiency score is 0.5968 and the average pure technical efficiency score is 0.6457. The efficiency of metropolitan stores is higher than that of small town stores and the efficiency of residential and commercial area stores is higher than that of residential area stores. In Tobit regression model, the DEA efficiency scores are used as dependent variables and five variables, namely store age, number of items per store size, number of items per employee, trade area index, and number of competitors are used as independent variables. The results show that store age, number of items per employee, trade area index, and number of competitors play a significant role in influencing stores` efficiency. All of five variables are statistically significant in metropolitan stores, but in small town stores so are two variables, namely store age and number of items per store size. In residential area stores number of items per store size, number of items per employee, and trade area index are statistically significant, but number of items per store size is not statistically significant in residential and commercial area stores. Managerial implications of the study are discussed.
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DEA 모형을 활용한 소매점의 효율성 및 결정요인 분석
고경완(Kyungwan Ko),김대철(Daecheol Kim) 한국경영과학회 2014 經營 科學 Vol.31 No.4
This paper analyzes the operational efficiency of 91 individual retail stores in Seoul by a two-step procedure. In the first step, a data envelopment analysis (DEA) model is used to identify the efficiency scores. Three inputs (store size, number of items, and number of employees) and two outputs (sales and number of customers) are used for the efficiency measurement. In the second step, a Tobit regression model is used to identify the drivers of efficiency. DEA efficiency scores are used to test hypotheses on the impact of five independent variables, namely store age, number of items per store size, number of items per employee, trade area index, and number of competitors. Results of the Tobit analysis show that number of items per store size, number of items per employee, and number of competitors play a significant role in influencing the operational efficiency of retail stores. Managerial implications of the study are discussed.
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무인 멀티콥터에 적용된 60마력급 직립형 가솔린 엔진의 성능 분석
김륜경(RYUNKYUNG KIM),고경완(KYUNGWAN KO),권성기(SUNGGI KWON),박계춘(GYECHOON PARK) 한국수소및신에너지학회 2023 한국수소 및 신에너지학회논문집 Vol.34 No.6
Multi-copter of unmanned aerial vehicle (UAV) was initially developed as strategic technology in the only military field, but it is developing into an industrial field with a wide range of applications in the civil sector based on the development and convergence of aviation technology and information and communication technology. Currently, the degree of utilization of multi-copter is increasing in various industries for the purpose of performing classic tactical missions, logistics transportation, farm management, internet supply, video filming, weather management, life-saving, etc, and active technology development responding to market demand. Existing commercial multi-copter mainly use an electric energy propulsion system consisting of an electric battery and a brushless direct current (BLDC) motor. It is the limitations for usage in the flying time (up to 20 minutes) and payload (less than 20 kg). this study aims to overcome these limitations and expand the commercialization of engine-powered multi-copter of UAV in various industries in the futures.
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