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An approach to the defining factors of salaries in the Spanish tourist sector

Francisco Sánchez-Cubo (University of Castilla-La Mancha, Cuenca, Spain)
José Mondéjar-Jiménez (University of Castilla-La Mancha, Cuenca, Spain)
Alejandro García-Pozo (University of Malaga, Malaga, Spain)

Academia Revista Latinoamericana de Administración

ISSN: 1012-8255

Article publication date: 10 January 2023

Issue publication date: 6 March 2023

136

Abstract

Purpose

The importance of workers in labour-intensive industries, such as tourism, is undeniable. In this sense, it has been investigated for decades from various methodological approaches. However, in the academic literature on tourism, the partial least squares-structural equation modelling (PLS-SEM) technique has hardly been used.

Design/methodology/approach

Therefore, this work uses that technique to contrast which factors define the employees' wages in the Spanish tourism industry. Additionally, an importance-performance map analysis (IPMA) analysis is carried out, which provides informed decision-making.

Findings

Thus, the main results obtained are the verification and measurement of the relationships of Human Capital, Labour Conditions and Market with Wages, and the relation between Human Capital and Labour Conditions. Besides, the improvement points in each variable are identified. Especial emphasis is given to those related to Human Capital and, partially, to the Market.

Research limitations/implications

However, there are certain limitations to this study. Mainly, as the indicators used are given by the 2018 Salary Structure Survey, they are stiff and so the design of the model turns to be more difficult.

Originality/value

Considering the turning point that the temporary cessation of the tourism industry activity due to the COVID-19 pandemic has been, it is essential to take advantage of it to identify and correct existing deficiencies. Therefore, this work aims to be a base document for the identification of these problems.

Objetivo

La importancia de los trabajadores de industrias intensivas en mano de obra, como el turismo, es innegable. En este sentido, se ha investigado durante décadas desde diferentes metodologías. Sin embargo, en la literatura académica en turismo, la técnica PLS-SEM path modelling apenas ha sido utilizada.

Metodología

Por ello, este trabajo emplea esta técnica para contrastar los factores que definen los salarios de los empleados en la industria turística española. Además, se lleva a cabo un análisis IPMA, que permite la toma de decisiones informada.

Resultados

Así, los principales resultados obtenidos son la verificación y medida de las relaciones del Capital Humano, Condiciones Laborales y Mercado con los Salarios, y la relación entre Capital Humano y Condiciones Laborales. Además, se identifican los puntos de mejora de cada variable. Se presta un interés especial a aquellos relacionados con el Capital Humano y, parcialmente, el Mercado.

Originalidad

Considerando el punto de inflexión que el cese de actividad temporal de la actividad de la industria turística ha supuesto a causa de la pandemia COVID-19, es esencial aprovechar para identificar y corregir las deficiencias existentes. Además, este trabajo pretende ser un documento base para la identificación de estos problemas.

Limitaciones

No obstante, existen algunas limitaciones en este estudio. Principalmente los indicadores utilizados proceden de la Encuesta de Estructura Salarial de 2018, son fijos y, por ende, el diseño del modelo se torna más difícil.

Keywords

Acknowledgements

Management area: Management

Sánchez-Cubo, F. benefits from a predoctoral contract for training researcher staff within the frame of the Formación de Profesorado Universitario (FPU) Fellowship Programme of the Ministry of Universities of Spain.

Citation

Sánchez-Cubo, F., Mondéjar-Jiménez, J. and García-Pozo, A. (2023), "An approach to the defining factors of salaries in the Spanish tourist sector", Academia Revista Latinoamericana de Administración, Vol. 36 No. 1, pp. 85-97. https://doi.org/10.1108/ARLA-05-2022-0106

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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