Abstract
Rational evaluation of outsourcer can help select outsourcer and enhance hotel’s core competitiveness, reduce costs, and improve service quality. In this study, ANP (analytical network process) model has been adopted in order to evaluate the right hotel outsourcer. By constructing hotel’s outsourcer evaluation model, many factors, such as quality, price and time, which will impact the evaluation of hotel outsourcer, are judged and compared, and then Super Decisions software is used to deal with the Matrix in order to find the priority of alternative outsourcers and to make the best decision for hotel.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Venkatesan, R.: Strategic Sourcing: to make or not to make. Harvard Business Review, 98–107 (1992)
Long, H., Chen, X.: Study on the hotel core capability of outsourcing strategy. Guilin Tourism University Journey, 84–87 (2005)
Liu, T.: Study on Chinese hotel outsourcing process. Qingdao University master’s degree paper, 6 (2006)
Saaty, T.: The analytic hierarchy process. McGraw-Hill, New York (1980)
Saaty, T.: Decision making with dependence and feedback: the analytic network process. RWS, Pittsburgh (1996)
Sun, J.: Study on the problems of Chinese economic hotel. Dongbei Forestry university doctor’s degree paper 6, 102–103 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sun, J., Liu, L. (2011). Study on Hotel Outsourcer Evaluation Based on ANP Model. In: Zhou, Q. (eds) Advances in Applied Economics, Business and Development. ISAEBD 2011. Communications in Computer and Information Science, vol 209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23020-2_25
Download citation
DOI: https://doi.org/10.1007/978-3-642-23020-2_25
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23019-6
Online ISBN: 978-3-642-23020-2
eBook Packages: Computer ScienceComputer Science (R0)