• Journal of the Korea Institute of Building Construction
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• v.11 no.1
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• pp.61-72
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• 2011

Management performance of a construction company can be the sum of management performance of each different project. Therefore, the measurement of management performance following construction projects is essential for securing the competitiveness of a company. However, most research has been related to the performance measurement of the construction industry and companies and little has been conducted on individual project's performance. In particular, building projects have various characteristics depending on construction orderer, type and commissioning entity but no performance indicators have been selected based on this classification. This study aims to select performance indicators for subdivided areas based on project characteristics as well as those which can be commonly used to measure management performance at construction and trial run stages of building projects. In the future, those indicators proposed in this study can be used for developing methodology to evaluate them and later applied to actual building projects to generate quantitative data. In addition, they are expected to be used as reference for selecting indicators to measure management performance of plant and civil engineering projects.

• Journal of Korean Society for Quality Management
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• v.50 no.4
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• pp.665-677
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• 2022

Purpose: The purpose of this study is to analyze the current status and investigate relevant indicators so that R&D performance evaluation suitable for government-funded research institutes can proceed. A suitable performance evaluation model was presented based on the surveyed indicators. Based on the presented performance evaluation model, the importance was analyzed to calculate the weight for each indicator of the performance evaluation model. Methods: The method applied in this study presented a performance evaluation model based on the organizational performance evaluation cases of advanced overseas countries. By using the AHP(Analytic Hierarchy Process) technique, the weight of each indicator of the performance evaluation model was studied. Results: As a result of examining the indicators necessary for the evaluation model, focusing on overseas cases, 13 evaluation items were derived. A weight was calculated for the importance of the study results. And the scientific/technical research results showed the highest excellence. Conclusion: Key indicators of performance evaluation suitable for government-funded research institutes were derived and presented through detailed modeling in three stages. A realistic model that can objectively evaluate the performance of government-funded research institutes was proposed using the AHP technique.

• Journal of Korean Academy of Nursing
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• v.46 no.3
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• pp.375-389
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• 2016

Purpose: The aim of this study was to classify nursing management competencies and develop behavioral indicators for nurse managers in hospitals. Also, levels of importance and performance based on developed criteria were to be identified and compared. Methods: Using expert survey we classified nursing management competencies and behavioral indicators with data from 34 nurse managers and professors. Subsequently, data from a survey of 216 nurse managers in 7 cities was used to analyze the importance-performance comparison of the classified nursing management competencies and behavioral indicators. Results: Forty-two nursing management competencies were identified together with 181 behavioral indicators. The mean score for importance of nursing management competency was higher than the mean score for performance. According to the importance-performance analysis, 5 of the 42 nursing management competencies require further development: vision-building, analysis, change management, human resource development, and self-management competency. Conclusion: The classification of nursing management competencies and behavioral indicators for nurse managers in hospitals provides basic data for the development and evaluation of programs designed to increase the competency of nurse managers in hospitals.

• The Journal of the Korea Contents Association
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• v.18 no.3
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• pp.390-398
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• 2018

The purpose of this study is to analyze the actual operation status of the financial performance target management system which is currently operated and to provide improvement plan based on this analysis. For this purpose, I examined the performance management system and performance indicators of the Ministry of Justice, which is one of the criminal justice administration agencies. Although the overall appropriateness of the current performance management system is considered to be somewhat appropriate as a whole, there is a negative perception about the performance measurement method for measuring the achievement of the performance target, and the evaluation of the performance of the performance target is relatively low. In addition, there were many criticisms about the establishment and measurement of the Ministry of Justice's overall performance indicators, such as the tendency to select indicators that are easy to achieve and easy to measure. In order to remedy these problems, it was highly suggested that the importance of indicators should be more emphasized and expanded so as to set up high-performance indicators. Based on the results of this analysis, some suggestions for policy implications and some alternatives for improvement of financial performance target management system were suggested.

• International Journal of Quality Innovation
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• v.9 no.2
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• pp.99-117
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• 2008

High-tech industry has been the principal economic source for Taiwan in recent years. The characteristics of high-tech industries in Taiwan are changeable product markets, short product life cycles and high company attrition rate. In the globalization trend, the high-tech industry has gradually increased corporate competitiveness and reached the goal of sustainable operations through knowledge management, knowledge sharing and new product research and development. Firms have aggressively strengthened and integrated their internal and external resources and enhanced knowledge sharing to increase industry operational performance. Effectively strengthening the knowledge management operation and performance evaluation of knowledge sharing in Taiwan's high-tech industry has become a critical issue. In the selection of knowledge sharing Key Performance Indicators (KPI), this research divided the knowledge sharing indicators into representative strategic indicators such as organizational knowledge learning, organizational knowledge resources, organizational information capacity and organizational knowledge performance through screening using Factor Analysis. The characteristics of the constructs were interdependent. This research calculated and adjusted the correlation among the key performance knowledge sharing indicators using ANP and determined the relative weight of knowledge sharing.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.935-941
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• 2009

In competitive society, performance management is an essential element of business success. Despite the importance of performance management, it has not been widely implemented in construction companies. In the recent years, construction companies have become more aware of its need to identify, implement, and sustain performance improvements more systematically. Thus, the objective of this paper is to develop performance management system (PMS) for construction companies. The roles of performance management system is not only measuring performance but also offering guidance to improve performance. Therefore, PMS needs benchmarking process that provides Best Practice and new knowledge. This paper investigates the case of PMSs in UK, USA, Brazil, and Chile and discusses the lessons learned. To overcome the limitations of existing PMSs, new performance measurement framework, in form of 'Construction' BSC, is proposed. Based on the 'Construction' BSC, key performance indicators are derived and methodology of performance management is suggested. This paper concludes by developing PMS for benchmarking in construction companies and recommending some further directions on this research topic.

• Journal of the East Asian Society of Dietary Life
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• v.18 no.6
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• pp.1089-1098
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• 2008

The principal objective of this study was to reveal the relationship between the menu management indicators and menu performance indicators in contract-foodservice operations. Menu indicators differed according to the type of business, type of contract, type of serving, and number of service lines. In accordance with the results of our correlation analysis, we noted significant correlations between menu performance indicators and menu management indicators. The first of these was the correlation between the food cost ration and meal counts, food loss, and the use of prepared vegetables. The second of these was the correlation between food cost per meal and forecasting error, food loss, and inventory turnover. The last of these correlations was the negative correlation between menu CSI(customer satisfaction index) and the use of prepared vegetables. According to the results of our canonical correlation analysis, 2 significant functions were identified. In the first function, we noted significant correlations between meal counts, use of prepared vegetables, food loss, and food cost ratio. Additionally, we noted significant correlations between forecasting error, inventory turnover, food loss, and food cost per meal in the second function. Menu management indicators had no influence on customer satisfaction.

• The Journal of the Korea Contents Association
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• v.20 no.9
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• pp.355-364
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• 2020

The performance plan of the budget was introduced to link the budget with the performance and to implement performance-oriented policies. This study reviewed the adequacy of indicators of the 2020 agricultural sector budget performance plan to find out how performance indicators were planned and achieved. As a result, there were problems such as low linkage between policy projects and targets, weighting of performance indicators and unclear grounds for targets, and underwhelming performance indicators. To improve these problems, challenging performance indicators and the establishment of practical performance indicators through incentives is necessary.

• Asian-Australasian Journal of Animal Sciences
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• v.22 no.12
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• pp.1709-1717
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• 2009

This review presents a series of Key Performance Indicators (KPI) to assist Asian smallholder dairy farmers in identifying the possible causes for their poor farm performance and profitability. When assessing farm profitability, these indicators can be split into two types, those diagnosing problems with feeding management and those indicating poor herd management. As home grown forage is generally cheaper to source than purchased forage, the more produced on farm, the better. Too many stock on limited land is a common feature on Asian dairy small holdings. Unlike other classes of livestock, milking cows have very high nutrient requirements, therefore high quality forages and concentrates are essential for profitable dairying. Milk income less feed cost is one of the simplest and easy to measure indicators of farm profitability and is also quick to respond to small changes in farm practices. Problems with herd management can be diagnosed using measures such as the proportion of cows actually milking in the herd or their peak yield and persistency of production. There are also simple indicators of herd reproductive performance and of health and growth of young stock that assist in searching for the underlying causes of poor farm profitability.

• Korean Management Science Review
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• v.28 no.2
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• pp.63-74
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• 2011

As business environment has become more competitive, the R&D strategies of firms have been regarded more important. Patent has information about technology which affects a firm's profit and it is considered as resources which have provided appropriate data for research of innovations and trends in technology. And patent indicators are known as qualitative representation of technology quality in an objective view. Also, they are available for the continuous and systematic analysis. However, most previous studies have focused on developing patent indicators to investigate patent value and characteristics. Furthermore they have limitations that most results is not significant that patent indicators have effect on firm performance-Tobin's q, Intangible assets based on balance sheet, sales and etc. Thus, the purpose of this paper is to propose proper a factor to represent a firm performance and to analyze causal relationship between patent indicators and firm performance. Intangible assets based on market value are employed as one of most significant firm performance indicator. The results indicate that intangible assets are appropriate for analyzing causal relation between patent and a firm performance with 7 significant indicators among 10 patent indicators. Considering firm's exogenous factors, regression analysis of each data for five years is performed. This result is similar to regression analysis of full data for all years.