Tourist attractions in efficiency analysis

2021 ◽  
pp. 135481662110601
Author(s):  
Hai Dong ◽  
Qi-Bin Liang ◽  
Nicolas Peypoch
Keyword(s):  
Data Envelopment Analysis ◽  
Environmental Factor ◽  
Production Technology ◽  
Efficiency Analysis ◽  
Future Research ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Tourist Attractions ◽  
Empirical Illustration

This paper discusses the use of tourist attractions in tourism efficiency analysis. Tourist attractions can be employed either as an input of the production technology or as an environmental factor in a two-stage Data Envelopment Analysis model. An empirical illustration to the case of Chinese provinces underlines that using tourist attractions in different ways can yield different rankings of the units in terms of efficiency. Recommendations for future research are then proposed.

Measuring Customer Satisfaction and Hotel Efficiency Analysis: An Approach Based on Data Envelopment Analysis

2020 ◽  
pp. 193896552094491
Author(s):  
Changhee Kim ◽  
Kyunghwa Chung
Keyword(s):  
Data Envelopment Analysis ◽  
Customer Satisfaction ◽  
Efficiency Score ◽  
Service Process ◽  
Future Research ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Network Dea ◽  
Overall Efficiency

We propose a network DEA (Data Envelopment Analysis) model that consists of internal and external service processes and employs customer satisfaction as an intermediate factor. Using the proposed model, we calculate four efficiency scores: service productivity score drawn from internal service process, service efficiency score drawn from external service process, overall efficiency score drawn from both internal and external service processes, and management efficiency score calculated without the intermediate output. By analyzing the four efficiency scores, we find that overall efficiency score is well suited to represent a hotel’s comprehensive productivity. Our results support the validity of a network DEA model which includes customer satisfaction for analyzing hotel efficiency. Despite its important role that plays in hotel efficiency, customer satisfaction has been barely considered in the previous hotel efficiency studies. By analyzing hotel efficiency including customer satisfaction, this study sheds new light on the hotel efficiency research area and provides a valuable basis for future research.

An Evaluation and Efficiency Analysis of Railways Safety

2019 ◽  
Vol 8 (1) ◽  
pp. 1-16
Author(s):  
Osman Ghanem ◽  
Li Xuemei
Keyword(s):  
Data Envelopment Analysis ◽  
Efficiency Analysis ◽  
Operating Efficiency ◽  
Data Envelopment Analysis Model ◽  
Data Envelopment ◽  
Analysis Model ◽  
Eu Countries ◽  
Rail Industry ◽  
The Eu

The rail industry is faced with rising competitive and cost pressures that call for considerable improvements in consistency, operating efficiency, and rail safety. In this article, Turkey's rail safety was evaluated by using a data envelopment analysis model with CRS (CCR), VRS (BCC) analysis in comparison to the EU countries. A section of input‐oriented analyses was performed, and efficiency scores were ranked in two different ways to verify the different rail parameters with the aim of minimizing the number of rail accidents and the number of fatalities in accidents. The study concluded that Turkey is more capable than the EU countries in terms of exploiting its railway indicators.

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