• International conference on construction engineering and project management
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• 2011.02a
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• pp.420-425
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• 2011

Corporate Social Responsibility has become a hot issue for modern enterprises recently. Under this trend, companies have to focus on what they can do for society instead of on just making profits. This paper is to explore the relationship between ecological corporate social responsibility and organizational performance in the construction industry in Taiwan. 192 samples were collected from Taiwan's general contractors and analyzed using factor analysis, correlation analysis and path analysis. This study found: (1) in general, the contractors in Taiwan don't devote much to realizing ecological corporate social responsibility, and there is still much room for improvement; (2) the correlation analysis results indicated there are significant positive relationships between ecological corporate social responsibility and organizational performance; and (3) according to the path analysis results, a contractor can improve its business performance by improving its realization of corporate social responsibility.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.5
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• pp.553-559
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• 1999

The robust control problem of the linear systems with uncertainty is classified as the robust stability problem guaranteeing the stability and the robust performance problem guaranteeing the disired performance. In this paper, we considered the robust performance analysis problem, which find the upper buund of the quadratic performance of the uncertain linear system, and the robust guaranteed performance controller design problem which design a controller guaranteeing the desired quadratic performance. At first, we treated the analysis problem and presented the two results; one is dependent on the performance of the nominal system and another is independent on this. And we treated the design method guaranteeing the desired performance for the uncertain linear systems, Finally, we show the usefulness of our results by numerical examples.

• Journal of the Korean Society of Food Culture
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• v.27 no.4
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• pp.354-366
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• 2012

The objective of this study was analyze the relationship among emotional intelligence, job attitude (job satisfaction, organizational commitment, turnover intention), and organizational performance in kitchen staff. A survey collected data from foodservice employees (N=611). Statistical analyses were completed using SPSS Win (17.0) for descriptive analysis, reliability analysis, factor analysis, t-test, correlation analysis, and AMOS (7.0) for confirmatory factor analysis and structural equation modeling. The main results of this study were as follows. The four EI (Emotional Intelligence) dimensions significantly correlated with age. The mean of the job satisfaction score was 3.24. The organizational commitment score was 3.54. The organizational commitment score was higher for 'loyalty' factor than for 'sense of belongs' factor. The mean of organizational performance score was 3.61. The four EI(Emotional Intelligence) factors were significantly correlated with job satisfaction (organizational commitment, organizational performance, and turnover intension). Structural equation modeling found that emotional intelligence had positive effects on job satisfaction, organizational commitment, and organizational performance, whereas job satisfaction and organizational performance had positive effects on organizational performance. Therefore, this study found that emotional intelligence had direct and indirect effects on organizational performance.

• Quality Improvement in Health Care
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• v.30 no.1
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• pp.44-54
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• 2024

Purpose: This study aimed to identify tasks performed by patient safety personnel using importance-performance analysis. Methods: An online survey was conducted during a mandatory educational course. The questionnaire consisted of 43 items categorized into four subscales: management of patient safety accidents, education of healthcare personnel, education of patients and guardians, and patient safety activities. Importance-performance analysis was employed to ascertain the relationship between the importance and performance of tasks conducted by patient safety personnel. Results: A total of 145 patient safety personnel participated in the survey. The perceived importance of tasks by participants averaged 3.67 out of four, while the average performance was 3.40 out of four, indicating a significant difference (t=8.04, p<.001). Activities such as collecting patient safety reports, conducting root-cause analyses, and educating new employees were identified as low-performance tasks compared to their perceived importance. Conclusion: Tasks recognized as having low importance but high performance among patient safety personnel should be addressed through increased awareness and education. Analyzing the causes of tasks with low importance and performance is crucial for recognizing their importance and implementing improvement measures.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.3
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• pp.654-659
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• 2007

This study suggests a measure method for measuring variables that are used for hotel corporations' CRM performance. For this purpose, I present a combined method between factor analysis and AHP(Analytic Hierarchy Process) analysis. Factor analysis gives us a result that shows a group of highly correlated variables and another group of less correlated variables. Thus, factor analysis can only give information of factor categorization. Although researchers add ANOVA analysis or regression analysis, these efforts can not connect its results with factor analysis. Therefore, In hotel CRM performance analysis, calculation of each factor's importance is strongly required. For that reason, I suggest a method that combines AHP analysis with factor analysis for Hotel CRM performance measurement.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.2
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• pp.199-220
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• 2023

Research competitiveness is the future of the university and the future of the country. This study is to present considerations when university libraries introduce and perform research performance analysis services and to propose guidelines for selection of analysis solutions. In order to achieve the purpose of this study, 6 university library staff were interviewed and 4 research performance analysis solutions were compared. The contents of the interview include the background of service promotion, service content, subscription solution, service provision scope and provision method. The research performance analysis solutions selected for analysis are InCite, SciVal, RIMS and Scholytics. As a result of analyzing the four solutions, it was found that most of the software has the necessary functions to perform research performance analysis service tasks, and generally subscribed to the solution according to the purpose of analysis. The results of this study can be used as reference materials for performing research performance analysis services in university libraries.

• Journal of Mechanical Science and Technology
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• v.18 no.8
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• pp.1428-1434
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• 2004

This paper presents the mean streamline analysis using the empirical loss correlations for performance prediction of cross-flow fans. Comparison of overall performance predictions with test data of a cross-flow fan system with a simplified vortex wall scroll casing and with the published experimental characteristics for a cross-flow fan has been carried out to demonstrate the accuracy of the proposed method. Predicted performance curves by the present mean streamline analysis agree well with experimental data for two different cross-flow fans over the normal operating conditions. The prediction method presented herein can be used efficiently as a tool for the preliminary design and performance analysis of general-purpose cross-flow fans.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2004.10a
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• pp.387-394
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• 2004

In the structural analysis procedure using finite element technique, the performance of a linear equation solver is critical because the linear equation solving part spends most of the computing time for finite element analysis codes. However, most of researchers are still using inefficient profile-based direct solvers such as the band solver or the skyline solver. In this research, we introduce the multifrontal solution method as an efficient direct solution method for structural analysis, and show the efficiency and performance of the multifrontal solution method by comparing the performance of our own implementation of the multifrontal method with the band solver or the skyline solver. In addition, we also compare the performance of our solver with other implementations of the multifrontal method such as WSMP and MUMPS as well as commercial structural analysis packages such as ABAQUS and NASTRAN. Through the performance test results, the usefulness and efficiency of our domain-wise multifrontal solver for structural analysis is shown.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.2
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• pp.121-137
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• 2013

Now days, firm's technology capability is recognized as important factor to forecast and to evaluate firm's business performance. There are many efforts to develop useful indicators by applying patent information that includes concrete description about technology. Many previous studies analyzed relationship between patent indicators and firm's performance. But they didn't consider time gap between a point of firm's invention activity and a point of firm's performance improvement. They didn't considered a character of industrial fields either. To overcome these limitations, we selected IT industry for target analysis industry. Time-series patent data and financial data from 41 American IT firms between 2000 and 2011 were used to analyze. In this study, We empirically analyzed subsequent effect of patent indicators on firm's business performance by using correlation analysis and regression analysis.

• Fashion & Textile Research Journal
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• v.10 no.6
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• pp.936-946
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• 2008

The purpose of this study is to analyze whether transactional leadership and transformational leadership have an effect on team empowerment and performance. To this end, a survey was conducted from August 1 to 30 in 2008, among team members of fashion companies. The data was collected with 586 subjects, the statistical analysis methods were frequency analysis, reliability analysis, factor analysis and multiple regression analysis. The results of this study were as follows; First, contingent reward of transactional leadership had an effect on team empowerment factors and team performance factors. Second, charisma, individualized consideration and intellectual stimulation of transformational leadership had an effect on team empowerment factors and team performance factors. Third, team potency, team autonomy and team meaning of team empowerment had an effect on team performance factors.