• Journal of the Korea Safety Management & Science
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• v.19 no.2
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• pp.41-50
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• 2017

Disaster and safety budget can be characterized as a large-scale public asset on which the government has a significant role. It is of a crucial importance to properly allocate the limited national budget to various areas as necessary. Higher investment efficiency of the budget related to disaster and safety management requires distribution criteria based on relevance and efficiency. Currently, the budget related to disaster and safety management is orchestrated through the prior consultation system. However, there is still no clear framework for reviewing the investment direction and setting the priority investment areas by prior consultation. This study analyzes the status and characteristics of disaster and safety management projects by damage type and proposes a structured system for prioritization. This framework can be useful in selecting the areas that need priority investments by damage type of disaster and safety management projects, thereby contributing to improving investment efficiency.

• Proceedings of the SAREK Conference
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• 2006.06a
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• pp.258-263
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• 2006

In this study, demand side management for efficiency enhancement of district heating has been investigated. Objectives of demand side management of district heating are classified and analyzed. Foreign and domestic examples are studied. Evaluation methods of demand side management of district heating are studied. Applications and expected effect of the results are presented. Finally directions for demand side management of district heating efficiency enhancement are suggested.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.876-882
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• 2009

With overall opening of global construction market by World Trade Organization (WTO) agreements, importance of management efficiency of construction industry which considers both tangible and intangible assets is recently being recognized in our nation. That is, efforts for reinforcement of competitiveness must be placed through maximization of values of internal and external intangible assets of construction industry such as management innovation, information, investment in technology and R&D and intellectual property. Accordingly in this study, evaluation criteria for intangible assets of construction industry were investigated and classified. Using such criteria, evaluation index and model were established based on the degree of importance of each criterion. The purpose of this study is to review importance of intangible assets in terms of competitiveness and management efficiency of construction industry and to provide basic data for establishment of intangible assets and revitalization of investment.

• Journal of Korean Society for Quality Management
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• v.32 no.2
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• pp.77-92
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• 2004

It is difficult but very necessary to measure the productivity of container terminals as logistics service provider. It is meaningful to find the appropriate inputs and outputs of the logistics service delivery systems and to measure the relationship between these inputs and outputs. This study proposes a model of evaluating the efficiency of container terminals. The evaluation consists of three phases. First, DEA(Data Envelopment Analysis) phase, determines the efficiency score and weights of DMUs(Decision Making Unit). This phase performs through four steps : selection of DMU, selection of DEA model, determination of input and output factors, calculation of efficiency score and weights for each DMU. Secondly, CEM (Cross Evaluation Model) phase, is to calculate the cross-efficiency scores of DMUs. This phase performs through three steps: selection of CEM, determination of cross-efficiency score for each DMU and development of cross-efficiency matrix. Finally, average cross-efficiency analysis phase is to compute the average cross-efficiency score. The proposed model discriminates among DMUs and ranks DMUs, whether they are efficient or inefficient.

• Korean Management Science Review
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• v.31 no.4
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• pp.135-150
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• 2014

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.

• Information Systems Review
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• v.15 no.2
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• pp.75-90
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• 2013

This research was undertaken to find out how effectively ERP has been employed by the enterprises through comparing and analyzing the management performance of each enterprise after introducing ERP to Retail and Distribution Industry using DEA technique. According to the research results, efficiency evaluation for each site was calculated through input and output factors to find out comparative ERP system usage efficiency of 10 Retail and Distribution Industry Companies in terms of such factors as employee, quick assets, inventories, sales revenue, operating income. This paper confirms that the companies having launched management innovation by aggressively adopting ERP saw their management efficiency improving consistently, and in the distribution industry, it took at least 3 years before the effect of ERP introduction on enhancing management efficiency became visible. Furthermore, this paper also reveals that, unlike the manufacturing industry which was the subject of the previous study, efficiency was not necessarily proportional to the size of company in the service industry including distribution and export which was the subject of this paper.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.747-757
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• 2020

This study investigates the impact of bank regulation and supervision on the efficiency of banking sectors on 108 Islamic banks from 26 countries offering Islamic banking and finance products and services. The technical efficiencies of individual Islamic banks have been analyzed using the data envelopment analysis method (DEA). The ordinary least square estimation method is employed to examine the impact of country supervision and regulation on the technical efficiency of Islamic banks. The empirical findings suggest that supervisory power, activity restrictions and private monitoring positively influence the efficiency of Islamic banks. The study revealed that Islamic banks that are operating in Middle East and North Africa (MENA) and middle-income countries are more technically efficient given the less stringent rules on capital requirement and we found that there is statistically significant evidence that higher capital requirements are negatively associated with the efficiency of Islamic banks. The empirical findings of this study are expected to help policy-makers and government officials to better understand how their decisions affect the performance.

• Journal of the East Asian Society of Dietary Life
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• v.18 no.2
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• pp.242-252
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• 2008

The objective of this study was to suggest a new efficiency measurement indicator for evaluating the menu management efficiency of decision making units(DMUs) in contract-foodservice operations and to determine the relationship between the DEA(data envelopment analysis) menu efficiency score and menu factors. The results of applying DEA revealed relatively efficient types of service and frequency of meals. The efficient service was shown as a self-service type that operates Monday to Saturday. The considered menu factors included meal price, food cost per meal, meal counts, number of menu items, use of favorite menu use, forecasting error, accuracy of ordering, ratio of inventory, ratio of food loss, use of processed foods and use of prepared vegetables are considered. There were significant correlations between the DEA score and meal price, meal counts, number of menu items, ratio of food loss, accuracy of ordering and use of processed foods respectively. According to the regression results, menu price had a positive influence on the DEA menu efficiency score, and food cost per meal and the use of prepared foods had negative influences respectively.

• Journal of Advanced Marine Engineering and Technology
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• v.35 no.3
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• pp.301-308
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• 2011

International Maritime Organization (IMO) proposed the Energy Efficiency Operation Indicator (EEOI) in 2005 and the Energy Efficiency Design Index (EEDI) in 2008 so as to address emission concern and regulation. Likewise, Ship Energy Efficiency Management Plan (SEEMP) and Greenhouse Gas (GHG) monitoring and management are also becoming an issue lately. This paper introduces the energy efficiency design index (operation indicator) monitoring system (EDiMS) software can continuously monitor $CO_2$, $NO_x$, $SO_x$, and PM values emitted from ship. The accurate inventory of ships GHG can be obtained from base of emission result during the engine shop test trial and the actual monitoring of shaft power and ship speed. In addition, the ability to store all exhaust emission and engine operation data can be applied as the useful tool of the inventory work of air pollution and ship energy management plan for the mitigation or reduction of ship emissions.

• Journal of Korean Society for Quality Management
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• v.46 no.3
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• pp.707-716
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• 2018

Purpose: This study aims to analyze the management performance and production efficiency of strawberry farmers who introduced smart farming, one of the primary symbols of the fourth industrial revolution in the agricultural sector. Methods: We conducted an empirical survey of strawberry farms using smart farming and analyzed production efficiency using DEA method. Results: First, difficulties for strawberry farmers introducing smart farming included time and money spent on parts replacement and additional costs due to compatibility problems with existing facilities after the adoption. Second, strawberry farmers using smart farming increased their total income by producing higher yield and improving quality thanks to the competent growth management. Third, the analysis of production efficiencies before and after smart farming found improvement in technical efficiency, pure technical efficiency, and scale efficiency. But, the gaps in technical and scale efficiencies among the farms widened. Conclusion: Based on the results above, following policy suggestions are offered. First, an environment control technology suitable for strawberry farming needs to be developed. Second, the smart farming technology needs to be standardized by the government. Third, new smart farm models need to be developed to accommodate to the facilities and environment in Korea through collecting big data including high-quality data on the environment, growth, and yield. Fourth, continuing education needs to be provided to narrow the gap in smart farming technology among strawberry farmers.