Using DEA To evaluate 29 Canadian textile companies — Considering returns to scale

Changes in Operational Efficiency and Firm Performance: A Frontier Analysis Approach

“…One perspective argues that because sales revenue is the ultimate goal of several intermediate outputs, it should be used as the sole output (see, e.g., Chandra, Cooper, Li, and Rahman 1998;Keh and Chu 2003;Leverty and Qian 2010;Demerjian et al 2012). Moreover, Dybvig and Warachka (2010) argue for a measure of operating efficiency based on revenue so that scale decisions and costs are properly assessed.…”

An Exploratory Study of the Relationship between Supply Chain Management Practices and Technical Efficiency of Jordanian Manufacturing Companies

“…Important references are provided to help the interested readers. So, DEA was used by many scholars to measure the efficiency of a manufacturing firm (Chandra et al, 1998;Friedman and Stern, 1998;Shammari, 1999;Sena, 2001;DÜzakin and DÜzakin, 2006;Chen and Chen, 2009;and Halim, 2010).…”

“…Various studies on the measurement of efficiency in manufacturing firms with the utilization of DEA have used several inputs and outputs. Chandra et al (1998) have specified their inputs as number of employees, average annual investment over last ten years, and their outputs were annual sales values. On the other hand, Friedman and Stern (1998) specified their inputs as assets, average wage man-hours worked by employees, labor cost, materials and expenses, but their outputs were revenue, export revenue, and income due to work and repairs and assts.…”

“…Previous studies measuring efficiency in manufacturing firms by the use of DEA method have identified several inputs and outputs (Chandra et al, 1998;Friedman and Stern, 1998;Shammari, 1999;Zhu, 2000;and Chen and Chen, 2009). In line with previous literature, this study will specify its inputs and outputs with justification in order to measure technical efficiency using DEA method.…”

Measuring the performance of manufacturing firms with super slacks based model of data envelopment analysis: An application of 500 major industrial enterprises in Turkey

“…Chandra et al (1998) evaluated 29 Canadian textile companies by using CCR-a data envelopment analysis model-where the inputs are number of employees and average annual investment over last 10 years and the outputs are annual sales values. Chandra also discussed the results of analysis in the perspective of income according to returns to scale.…”