Logistic contribution from the vision of the technical services in the hotel industry

Abstract

Purpose: The objective of this article is based on the identification, from the theoretical and empirical order with the application of multivariate statistics, of the essential variables that intervene in the technical services processes of the hotel industry and with it the conformation of a theoretical model for the management of said process. Design/methodology/approach: The designed methodology, used for the processing of the research, consists of three phases of development that allow the selection of the variables that from the theoretical order coexist in the consulted literature, which in an integral way are subjected to an analysis of experts to confirm its existence in the practical object of study. Subsequently, the design of the evaluation methods of the selected variables is carried out, culminating with the analysis of relationships and influences between variables, all of the above under the multivariate statistics approach. Findings: The main results of this research are achieved after the systematic application of the designed methodology, observing the existence of three essential perspectives that affect the management of technical services in hotel industries, and that include 35 variables corroborated from multivariate statistics. This allowed the elaboration of a theoretical model for the management of this process, contributing from the logistic approach with the integration of this subsystem as part of the business management of the hotel sector. Originality/value: The originality of this material lies in the experimental identification of the main limitations explicit and (or) implicit in contemporary theory, to address the process of technical services in the hotel industry. Based on the contributions made as part of this research, we can identify the incidental variables in this process, as well as their grouping into three perspectives, resulting from the above in the possibility of illustrating the performance of this process from the theoretical model proposed.