Efficiency-based recruitment plan for chained quick-service enterprise

2006 ◽  
Vol 25 (3) ◽  
pp. 197-209
Author(s):  
Chun-Hsiung Lan ◽  
Yu-Hua Lan ◽  
Chi-Chung Chang ◽  
Liang-Lun Chuang
Keyword(s):  
Production Efficiency ◽  
Quantitative Approach ◽  
Scale Efficiency ◽  
Data Envelopment ◽  
Two Stage ◽  
Stage Design ◽  
Second Stage ◽  
Two Stage Design ◽  
Using Data ◽  
Quick Service

This paper describes a research method called two-stage design consisting of the determination of the efficiency for each quick-service restaurant of chained enterprise at the first stage by using Data Envelopment Analysis (DEA), and then proposes an approach of Recruitment and Allocation (RA) plan for supporting the everlasting running of the enterprise in the second stage. The technical efficiency, the scale efficiency, the production efficiency, and the return to scale are conducted in the first stage of this two-stage research design. In addition, this study also proposes the potentially improved value to promote the relative efficiency of each chained restaurant through the improvement of inputs or outputs items. Besides, the RA plan is proposed in the second stage of the two-stage design. The RA plan is an efficiency-based quantitative approach to recruit employees as well as to determine the allocation of those recruited employees. This study indeed provides a constructive and quantitative approach of solving the dilemma issue “how to reasonably recruit and allocate employees” for decision makers with profound insight in the quick-service enterprise.

scholarly journals Benchmarking Wind Farm Projects by Means of Series Two-Stage DEA

2020 ◽  
Vol 2 (3) ◽  
pp. 365-376
Author(s):  
Ioannis E. Tsolas
Keyword(s):  
Wind Farm ◽  
Stage Structure ◽  
Operational Efficiency ◽  
Operating Efficiency ◽  
Data Envelopment ◽  
Construction Process ◽  
Two Stage ◽  
Investment Performance ◽  
Second Stage ◽  
Using Data

This paper presents a data envelopment analysis (DEA) approach to benchmark a group of wind farm (WF) projects in Greece by employing a series two-stage structure. In the first stage, the investment performance of projects is evaluated using contract data and site wind conditions, though in the second stage the WF operational efficiency is evaluated using data on production inputs and output. Inefficiency occurs in both the construction and operating stages, but the construction process appears to be more inefficient relative to the operating phase. Moreover, WF size is related to operating efficiency and sensitivity analysis results identify wind speed and WF installation capacity as the factors that affect the investment performance and operational efficiency, respectively. The proposed approach is an addition to the existing literature and it can be used by managers and facility operators.

scholarly journals The Measurement of Innovation Efficiency of Chinese High-tech Industry Using Data Envelopment Analysis

2015 ◽  
Vol 65 (s2) ◽  
pp. 101-113 ◽  
Author(s):  
Ling Jiang ◽  
Yunyu Jiang ◽  
Zhijun Wu ◽  
Dongsheng Liao ◽  
Runfa Xu
Keyword(s):  
Data Envelopment Analysis ◽  
Technical Efficiency ◽  
Environmental Variables ◽  
Scale Efficiency ◽  
High Tech ◽  
Data Envelopment ◽  
High Tech Industry ◽  
Economic Competitiveness ◽  
Development Level ◽  
Using Data

In the era of knowledge economy, a country’s economic competitiveness depends largely on the development level of high-tech industry. This paper evaluates the efficiency of China’s high-tech industry in 31 provinces in 2012 with data envelopment analysis. The empirical results are summarized as following. Firstly, when the effects of exogenous environmental variables are not controlled, the comprehensive technical efficiency of 31 provinces will be overestimated, the pure technical efficiency will be underestimated, and the scale efficiency value will be overestimated. Secondly, after eliminating the environmental impact, the comprehensive technical efficiency of 31 provinces with the average of 0.395 is rather low, due to the low scale efficiency.

Tubular electrostatic precipitators of two-stage design

1981 ◽  
Vol 6 (1-6) ◽  
pp. 239-244 ◽  
Author(s):  
Harish S. Surati ◽  
Michael R. Beltran ◽  
Isaac Raigorodsky
Keyword(s):  
Two Stage ◽  
Stage Design ◽  
Electrostatic Precipitators ◽  
Two Stage Design

Benchmarking the efficiencies of Indonesia’s municipal water utilities using Stackelberg data envelopment analysis

2015 ◽  
Vol 22 (4) ◽  
pp. 588-609 ◽  
Author(s):  
Andreas Wibowo ◽  
Hans Wilhelm Alfen
Keyword(s):  
Data Envelopment Analysis ◽  
The Body ◽  
Water Utilities ◽  
Data Envelopment ◽  
Two Stage ◽  
Restrictive Assumption ◽  
Content Type ◽  
Second Stage ◽  
Municipal Water ◽  
The Impact

Purpose – The purpose of this paper is to present a yardstick efficiency comparison of 269 Indonesian municipal water utilities (MWUs) and measures the impact of exogenous environmental variables on efficiency scores. Design/methodology/approach – Two-stage Stackelberg leader-follower data envelopment analysis (DEA) and artificial neural networks (ANN) were employed. Findings – Given that serviceability was treated as the leader and profitability as the follower, the first and second stage DEA scores were 55 and 32 percent (0 percent = totally inefficient, 100 percent = perfectly efficient), respectively. This indicates sizeable opportunities for improvement, with 39 percent of the total sample facing serious problems in both first- and second-stage efficiencies. When profitability instead leads serviceability, this results in more decreased efficiency. The size of the population served was the most important exogenous environmental variable affecting DEA efficiency scores in both the first and second stages. Research limitations/implications – The present study was limited by the overly restrictive assumption that all MWUs operate at a constant-return-to-scale. Practical implications – These research findings will enable better management of the MWUs in question, allowing their current level of performance to be objectively compared with that of their peers, both in terms of scale and area of operation. These findings will also help the government prioritize assistance measures for MWUs that are suffering from acute performance gaps, and to devise a strategic national plan to revitalize Indonesia’s water sector. Originality/value – This paper enriches the body of knowledge by filling in knowledge gaps relating to benchmarking in Indonesia’s water industry, as well as in the application of ensemble two-stage DEA and ANN, which are still rare in the literature.

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