• Korean Management Science Review
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• v.26 no.1
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• pp.137-159
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• 2009

An organizational performance measurement practice is a function of performance measurement system and performance management system they are currently employing, and its quality is determined by evaluating the followings in a comprehensive manner: first, if they are measuring right things; second, if they are measuring in a right way; third, if they are actively facilitating a process of data collection, structuring, analysis, interpretation, and dissemination; and fourth, if they are using performance measurement results for the primary purposes of performance measurement. This study proposes a diagnostic framework for evaluating the performance measurement practices of public broadcasting which include the qualities of performance measurement and performance management, and develop a structured questionnaire for that purpose. The framework proposed in this study does not serve only as a useful tool for public broadcasting to revise their respective performance measures and performance measurement systems, but it also make their respective performance measurement practices a strategic management tool as well as an operational management one.

• Culinary science and hospitality research
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• v.13 no.2
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• pp.174-187
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• 2007

The purpose of this research is to analyse the cause and effect relations among management strategies, performance assessment and management performance in the hotel industry. The research result is as follows. A management strategy of the hotel industry has influence directly on a performance assessment through the non-financial factor, the financial factor and the study evaluation factor. And a financial performance assessment and a non-financial performance assessment have influence directly on the management performance. Total effects on a management performance of the hotel industry were 0.769 in a management strategies and 1.755 in a performance assessment. In comparison in the direct effects, the management strategies do not influence the management performance directly, and management performance is revealed through a performance assessment.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.171-180
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• 2023

This study is to develop a performance analysis model for SMEs.Based on similar performance indicators through previous studies, performance indicators for SMEs were rewritten.Through the Korean Journal Citation Index (KCI), 75 related data were classified and a comprehensive SME performance analysis model was developed.Performance analysis was divided into two axes and classified into tables.The horizontal axis is the spatial performance range, which is divided into three areas: performance management by department/function, integrated performance management for the entire organization, and governance performance management requiring policy feedback. The vertical axis is subdivided into short-term, mid-term, and long-term by time and growth stage, and is divided into three parts: technical performance according to technological input, economic performance as organizational performance, and social performance for policy utilization. Then, performance indicators were mapped to each column. As a result of the survey, 28% of technical performance was analyzed as a result of frequency analysis, and performance indicators were organized into five categories: IT, R&D, certification, patent, and innovation. Economic performance was divided into 29%, BSC, HRD, logistics, production quality management, financial support, asset management, etc. 6 categories, social performance 43%, ESG, marketing, export, policy support, consulting, cooperation, etc. 7 categories.Limitations of the study include the narrowness of the survey that derived only performance indicators despite being a meta-analysis, and the performance model was mapped and classified according to growth stage and support period.however Insufficiency of validity due to lack of evidence, performance indicators were developed, but there were limitations in utilization for practical use.

• International Journal of Quality Innovation
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• v.7 no.1
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• pp.112-127
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• 2006

How to measure Quality Performance (QP) or excellence performance in organizations is very important for improving the quality of an organization's products and services. This paper takes Quality Function Deployment (QFD) as a useful tool to identify the key characteristics of quality performance and measure the influence factors on quality performance. Most national quality awards provide a framework of the criteria to show the essential elements of an organization's quality performance and get the Quality Performance Score (QPS) by self-assessment using the criteria. By means of these criteria, especially, the criteria of China Quality Award (CQA), a measurable indicator system for quality performance is set up. A four-phase QFD model of assessment for quality performance is developed. This QFD model not only presents the most important efforts for the deployment of the measurable indicators of quality performance, but also takes great advantage of evaluating the quality performance and obtaining the quality performance score. The measurable indicator hierarchy of quality performance is formed and its implementation method for assessment quality performance is described in this paper.

• IE interfaces
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• v.11 no.3
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• pp.41-53
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• 1998

Several performance measurement systems have been proposed and are currently being used in many organizations. However, no performance measurement system has presented a mechanism for integrating all of the information of performance measures in a way that considers the relationships between them. This paper proposes the performance information integration method (PIIM) which synthesizes all useful information of performance measures with consideration of the relationships and generates a single, global, organizational performance score. The PIIM showed good performance in the implementation in one long-term care facility. This paper provides performance measurement systems with an integration mechanism for multiple performance measures.

• Korean Management Science Review
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• v.16 no.2
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• pp.109-123
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• 1999

We have recognized that an organization should be viewed from a multifaceted perspective necessitating a sophisticated analytical and systematic approach to monitor and improve organizational performance. Although some performance measurement systems have been proposed and are currently being used in many organizations, no performance measurement system has presented a mechanism for integrating all of the information of performance measures in a way that considers relationships between them. This paper introduces the implementation of the performance information integration method(PIIM) which synthesizes all useful information of performance measures with consideration of the relationship and generates a single, global, organizational performance score. The PIIM was empirically validated by implementing in one of missouri Veterans Homes.

• Journal of Information Technology Services
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• v.12 no.4
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• pp.349-367
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• 2013

In MANET, the AODV routing protocol with on-demand method has a problem in large control packet overhead. In order to improve this, we first need a comprehensive analysis of correlation between performance metrics and factors affecting the performance of AODV. Selected parameters based on this analysis make it enable to be a more accurate and fair performance analysis, as well as to reduce the time and effort when constructing a scenario for performance analysis. In this paper, various scenarios are configured to apply AODV by varying the values of factors affecting the performance with network simulator QualNet 5.0, and then the results are analysed using performance metrics proposed by IETF MANET working group. This paper also founds a correlation between performance metrics and factors affecting the performance for AODV routing protocol, choosing the values of factors that represent many of the most maximum and minimum values of each performance metrics, and proposes optimal simulation parameters for a more accurate performance evaluation of routing protocols with minimal scenario in experiments. Next, performance comparison of AODV, DSR and DYMO routing protocols based on the proposed simulation parameters is shown which provides a comparative analysis on the performance of on-demand routing protocols. Results of this paper could be very useful for the researcher or service provider who wants to find nice simulation environment or select a proper routing protocol.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.1
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• pp.185-198
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• 2015

This study drew performance management factors analyzed a causal link between acceptance and satisfaction of performance management to present the method for promoting acceptance on the performance management system that most of the public enterprises, government-affiliated organizations are implementing. To achieve this, qualitative analysis and quantitative analysis were conducted in parallel through in-depth case studies and surveys. The results of this study are as follows. First, the analysis of the performance management factors with preceding studies shows that performance management indicators, performance management operations and performance management communications. Second, from the causal relationship of performance management factors affecting performance management acceptance reveals that performance management operation has statistical significance. Third, the analysis of the effect of performance management factors on the management satisfaction shows that operation and indicator of the performance management have statistical significance and reflecting the performance indicators to business, adequacy of target level, training, system support and CEO's Leadership have been revealed as important variables to the management satisfaction. Fourth, the result of the analysis on casual connection between acceptance and satisfaction of the performance management shows that improving management acceptance has a direct impact on satisfaction because performance management receptiveness were deemed statistically significant. Fifth, the result of the in-depth case studies on improving performance management acceptance shows that public enterprises have been putting in an effort to design indicators and try to encourage internal member's involvement during the monitoring and evaluation. The quantitative analysis based on survey has turned out that performance management operation and performance management indicators have statistical significance. The qualitative analysis by in-depth analysis shows that public enterprises put a lot of effort to performance management indicators and communication between internal members. As a result, commitment to performance management operation is required to improve the performance management acceptance. In other words, a detailed implementation plan for training, information system support, and CEO's leadership has to be established and ought to be pushed.

• Proceedings of the Korea Database Society Conference
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• 2010.06a
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• pp.235-247
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• 2010

Introduction of ICE(Integrated Collaboration Environment) has a great effect on corporate performance. In particular, it is expected that information sharing and collaboration among transaction partners will be an important factor which mediates ICE and its performance. Under such a background, this research intends to identify the influence of ICE by manufacturing industry on corporate performance through role of the parameter of information sharing and collaboration. The result of this research may be summed up as follows: ICE promotes information sharing and collaboration among enterprises, it accelerates integration of supply chain network among enterprises and cooperation. In particular, ICE has a great effect on information sharing. And information sharing has a direct effect on collaboration and performance. However, when we classify corporate performance into the "performance due to introduction", which is direct performance, and the "overall performance", which is indirect performance, the result of this research is as follows: information sharing has a great effect on the performance due to introduction, but does not have a meaningful effect on indirect performance. On the other hand, collaboration does not have any effect on the performance due to introduction, but has a meaningful effect on the overall performance, which is indirect performance. It is necessary to study and analyze additional this result in future.

• IE interfaces
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• v.24 no.3
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• pp.196-209
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• 2011

In This Study, New Product Development Activities, Innovation Activities, Technical Cooperation Activities may have an Impact on Competitive Advantage, Development Performance and Business Performance. The aim of Empirical Analyze is to identify the Structural Causal Relationship among the Activities and Performance Factors. We get the Results as Follows : New Product Development Activities have a Positive Impact on Competitive Advantage as well as the Development Performance. Technological Innovation Activities have a Positive Impact on Competitive Advantage, and do not have enough Impact on the Development Performance. Technical Cooperation Activities have a Positive Impact on the Development Performance, and do not have enough Impact on the Competitive Advantage, Competitive Advantage has a Positive Impact on the Development Performance as well as the Business Performance. Development Performance has a Positive Impact on the Business Performance.