scholarly journals On-field Performance Evaluation in Soccer Based on Network Data Envelopment Analysis

2019 ◽  
Vol 4 (2) ◽  
pp. 187-206
Author(s):  
Thanasis Bouzidis
2019 ◽  
Vol 18 (03) ◽  
pp. 1009-1043 ◽  
Author(s):  
Bo Hsiao ◽  
Li-Hsueh Chen

This study proposes an alternative method for evaluating the overall performance of hospitals in Taiwan. Specifically, three types of hospital activities, medical, pharmaceutical, and rehabilitation, are classified and connected using the parallel method. To bridge the difference between the performance evaluation methods adopted in hospitals and the evaluation method adopted by traditional enterprises, each activity is divided into two serial-type connected processes, which are the production and service processes. This study analyzes the performance of the six processes in three types of activities of three levels of hospitals, namely medical centers, regional hospitals, and district hospitals, by using multi-activity network data envelopment analysis (MNDEA) in Taiwan in 2012. The average overall efficiency was 0.41, while the average estimated efficiency for medical, pharmaceutical, and rehabilitation activities was 0.62, 0.34, and 0.27, respectively. At the hospital level, the average efficiency for medical centers, regional hospitals, and district hospitals was 0.59, 0.49, and 0.35, respectively. The production processes of medical and rehabilitation activities in Taiwan have higher average efficiency than their service processes, while the production processes of pharmaceutical activity have lower average efficiency than its service processes. These results provide a reference for upgrading the operation and management strategies for all hospitals in the country.


2018 ◽  
Vol 31 (4) ◽  
pp. 492-509 ◽  
Author(s):  
Berna Simsek ◽  
Fatih Tüysüz

Purpose The purpose of this paper is to present a methodology which enables to measure and analyze the performance of sub-process and overall system of a cargo company. Design/methodology/approach Network data envelopment analysis method with fuzzy data is used for performance measurement which considers the sub-process efficiency simultaneously together with the overall efficiency and also the uncertainty included in input–output data. Findings A real-life application of the proposed model is presented for Turkey. The application results show the efficiency scores of ten branches according to each sub-process and also the overall system. Although the obtained results are case specific, the application results indicate that the inefficient branches can achieve efficiency either by decreasing circulation ratio input for human resources sub-process or by increasing closed complaint output or by decreasing open complaint output for customer relationship management sub-process. Originality/value The study presented provides insights into the performance measurement applications in cargo sector. The methodology presented provides the flexibility of removing or adding some new sub-processes and also decision-making units which enables the approach to be used for other performance evaluation problems.


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