Access the full text.
Sign up today, get DeepDyve free for 14 days.
C. Barros (2005)
MEASURING EFFICIENCY IN THE HOTEL SECTORAnnals of Tourism Research, 32
Wen-Ling Chiang (2004)
A DEA evaluation of Taipei hotels.Annals of Tourism Research, 31
K. Tone (1996)
Data Envelopment AnalysisJournal of Japan Society for Fuzzy Theory and Systems, 8
S. Miller, Athanasios Noulas (1996)
The technical efficiency of large bank productionJournal of Banking and Finance, 20
R. Banker, R. Morey (1986)
Efficiency Analysis for Exogenously Fixed Inputs and OutputsOper. Res., 34
A. Charnes, W. Cooper, E. Rhodes (1978)
Measuring the efficiency of decision making unitsEuropean Journal of Operational Research, 2
N. Avkiran (2002)
Monitoring Hotel PerformanceJournal of Asia-Pacific Business, 4
M. Farrell (1957)
The Measurement of Productive Efficiency, 120
Shiuh-Nan Hwang, Te-Yi Chang (2003)
Using data envelopment analysis to measure hotel managerial efficiency change in TaiwanTourism Management, 24
M. Sigala (2004)
Using Data Envelopment Analysis for Measuring and Benchmarking Productivity in the Hotel SectorJournal of Travel & Tourism Marketing, 16
G. Debreu (1951)
The Coefficient of Resource Utilization
R.I. Anderson, R. Fok, J. Scott
Hotel industry efficiency: an advanced linear programming examination
K. Sauvant (1999)
World Investment Report
R. Morey, D. Dittman (1997)
An Aid in Selecting the Brand, Size and Other Strategic Choices for a HotelJournal of Hospitality & Tourism Research, 21
Purpose – The purpose of this research is to provide exploratory insights on measurement of efficiency of the hotel and restaurant companies operating in India. Design/methodology/approach – This study will use a linear programming‐based approach, data envelopment analysis (DEA), to evaluate the efficiency of hotel and restaurant companies operating in India. DEA is a method of evaluating the relative efficiency of decision‐making units (DMUs). In this study the decision‐making units are the hotel and restaurant companies. The study further explores if there exists a relationship between the efficiency and size of the hotel and restaurant companies. Findings – The DEA model used in this study assigns efficiency scores to each of the hotel and restaurant companies taken in the sample of 68 companies for the year 2004‐2005. The study also explores whether there is a relationship between the efficiency and size of the hotel and restaurant companies. Practical implications – As this study evaluates the efficiency of the hotel and restaurant sector, it separates the most efficient hotel and restaurant companies from the non‐efficient ones. The study identifies the top performers in this sector. Also, managers get important insights for their strategic and operational decisions to improve performance. Originality/value – There are very few known studies that have measured the efficiency of the hotel and restaurant companies. This study is one of the few exploratory initiatives in the Indian context.
International Journal of Contemporary Hospitality Management – Emerald Publishing
Published: Jul 17, 2007
Keywords: Process efficiency; Data analysis; Hotel and catering industry; Restaurants; India
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.