An Efficiency Data Envelopment Analysis Model Reinforced by Classification and Regression Tree for Hospital Performance Evaluation

2010 ◽  
Vol 35 (5) ◽  
pp. 1075-1083 ◽  
Author(s):  
Chun-Ling Chuang ◽  
Peng-Chan Chang ◽  
Rong-Ho Lin
Keyword(s):  
Performance Evaluation ◽  
Data Envelopment Analysis ◽  
Regression Tree ◽  
Hospital Performance ◽  
Classification And Regression Tree ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Classification And Regression ◽  
Efficiency Data

scholarly journals Efektywność akademickich klubów sportowych funkcjonujących w szkolnictwie wyższym

Ekonomia ◽  
2019 ◽  
Vol 25 (2) ◽  
pp. 9-20
Author(s):  
Łukasz Brzezicki
Keyword(s):  
Data Envelopment Analysis ◽  
Empirical Models ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Sports Clubs ◽  
Sports Events ◽  
Efficiency Data

Efficiency of academic sports clubs operating in higher educationIn the article, the efficiency of 29 academic sports clubs in 2017 was measured using the NR-DEA non-radial-efficiency data envelopment analysis model. Two empirical models characterizing two different areas of activity of academic sports clubs were used in the study. The first model M1 fo­cused on club productivity, it includes the number of people practicing in the club and the total number of points obtained in the Polish Academic Championships. The second model M2 focused on club activity, it takes into account the number of organized events and participants taking part in the events. The results obtained show that sports clubs of technical universities were more often effective in terms of productivity than in terms of activity. A different situation occurs in university clubs, which were more often effective in terms of the activity of sports events, sporadically in terms of productivity.

scholarly journals Methodological Approach for Providing a Suitable Model for Financial Ranking of Educational Hospitals by using of Cross-Performance Procedures (Case Work, Hospitals of Ahvaz Jundishapur University of Medical Sciences)

2020 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Soliman Kamaei ◽  
Hamidreza Vakilifard ◽  
Bahman Bani Mahd ◽  
Fereydoun Rahnamay Rudpashti
Keyword(s):  
Data Envelopment Analysis ◽  
Financial Performance ◽  
Methodological Approach ◽  
Hospital Performance ◽  
Data Envelopment Analysis Model ◽  
Suitable Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Medical Sciences ◽  
Cross Sectional

Background: Hospitals are multi-specialist social security organizations that account for a significant portion of the health system’s budget. Given the economic conditions and the importance of hospitals in the field of social health, it seems important and necessary to pay attention to financial performance and compare them with each other. Objectives: The purpose of this study was to provide a model for evaluating the performance and financial ranking of Ahvaz Jundishapur University of Medical Sciences’ Hospitals during 2018. Methods: This cross-sectional study was conducted at Ahvaz hospitals. Twenty-two hospitals were chosen according to random stratified sampling. First, the financial performance indicators of hospital performance evaluations are identified using the previous study method. Then, the financial performance evaluation indicators of hospitals are finalized by interviews with managers and experts of Ahvaz Medical Sciences’ Hospitals. To rank the hospitals, a cross-performance approach was used. Cross-performance is an acceptable approach in data envelopment analysis that provides a complete ranking of decision-making units (DMUs). In addition, a new secondary goal is presented in cross-performance. In this paper, an algorithm based on cross-performance is presented, and we will provide a model for ranking hospitals. Data were entered and analyzed using Statistical Package for Social Sciences (SPSS) and t-student and ANOVA tests. Results: The results show that although the traditional data envelopment analysis model is not able to rank uniquely from hospitals, the introduced pattern offers a unique ranking of hospitals. According to the results of this study, Imam Khomeini Hospital of Ramhormoz has the first rank, and Baqaei Hospital has the rank (22nd) in this ranking. Conclusions: The findings of this study represent the Hospital of financial position at the other hospitals and can be used in the hospital with good rankings in the service level of self-awareness as a template.

Supply Chain Performance Evaluation With Rough Two-Stage Data Envelopment Analysis Model: Noncooperative Stackelberg Game Approach

2017 ◽  
Vol 17 (4) ◽  
Author(s):  
Morteza Shafiee
Keyword(s):  
Supply Chain ◽  
Performance Evaluation ◽  
Data Envelopment Analysis ◽  
Rough Set Theory ◽  
Stackelberg Game ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Managerial Decision ◽  
Two Stage

Rapidly changing environment has affected organizations' ability to maintain viability. As a result, various criteria and uncertain situations in a complex environment encounter problems when using the traditional performance evaluation with precise and deterministic data. The purpose of this paper is to propose an applicable model for evaluating the performance of the overall supply chain (SC) network and its members. Performance evaluation methods, which do not include uncertainty, obtain inferior results. To overcome this, rough set theory (RST) was used to deal with such uncertain data and extend rough noncooperative Stackelberg data envelopment analysis (DEA) game to construct a model to evaluate the performance of supply chain under uncertainty. This applies the concept of Stackelberg game/leader–follower in order to develop models for measuring performance. The ranking method of noncooperative two-stage rough DEA model is discussed. While developing the model, which is suitable to evaluate the performance of the supply chain network and its members when it operates in uncertain situations and involves a high degree of vagueness. The application of this paper provides a valuable procedure for performance evaluation in other industries. The proposed model provides useful insights for managers on the measurement of supply chain efficiency in uncertain environment. This paper creates a new perspective into the use of performance evaluation model in order to support managerial decision-making in the dynamic environment and uncertain situations.

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