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

Luís E. Carretero Díaz, Alba Araujo Abreu, Pablo García Estevez and Silvio R.I. Pires

International Journal of Services and Operations Management, 2021, vol. 39, issue 1, 62-80

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. (search for similar items in EconPapers)
Date: 2021
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