Title: An empirical study on supply chain management practices within the hotel segment in Spain using an artificial intelligence technique

Authors: Luís E. Carretero Díaz; Alba Araujo Abreu; Pablo García Estevez; Silvio R.I. Pires

Addresses: Department of Business Organization, CUNEF, Complutense University of Madrid, C/ Leonardo Prieto Castro, 2, Ciudad Universitaria, 28040, Madrid, Spain ' Department of Business Administration (Finance and Accounting), Rey Juan Carlos University of Madrid, Paseo de los Artilleros s/n, 28032 Vicalvaro, Madrid, Spain ' Department of Finance and Accounting, CUNEF, Complutense University of Madrid, C/ Leonardo Prieto Castro, 2, Ciudad Universitaria, 28040, Madrid, Spain ' Postgraduate Program in Business Administration, Methodist University of Piracicaba, Rodovia do Açucar, Km 156, Piracicaba, SP, 13400-911, Brazil

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.

Keywords: service operations; service operations performance; supply chain management practices; self-organising neural network technique; hotel; Spain; artificial intelligence.

DOI: 10.1504/IJSOM.2021.115185

International Journal of Services and Operations Management, 2021 Vol.39 No.1, pp.62 - 80

Received: 24 May 2019
Accepted: 05 Jun 2019
Published online: 24 May 2021 *

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