An empirical study on supply chain management practices within the hotel segment in Spain using an artificial intelligence technique
by Luís E. Carretero Díaz; Alba Araujo Abreu; Pablo García Estevez; Silvio R.I. Pires
International Journal of Services and Operations Management (IJSOM), Vol. 39, No. 1, 2021

Abstract: This article addresses the supply chain management (SCM) of hotels in Spain investigating whether there is a relationship between their SCM practices and their economic and non-economic results. A grouping technique, from the context of artificial intelligence (AI) known as self-organising neural networks was used and the analysis comprised hotel companies operating in Spain classified as four-star. This category includes the largest number of companies who use SCM practices. 146 hotels were investigated and five adjacent groups (clusters) were identified in relation to using SCM practices. Results show mainly that a broader approach when applying SCM practices in supply chains leads to better results.

Online publication date: Mon, 24-May-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Services and Operations Management (IJSOM):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com