It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Analysing gender differences in key industries is one of today's priorities to achieve a more egalitarian society. In hospitality, the classic approach is through Mincerian regressions or wage decompositions. This paper addresses this issue through Partial Least Squares Structural Equation Modelling (PLS-SEM) and Importance-Performance Map Analysis (IPMA). The results confirm and measure the relations between Human Capital, Labour Conditions, Market, and Wages, and examine the relative importance and performance of each indicator in explaining Wages. Therefore, there are narrow gender differences, and measures are suggested. The main limitation lies in the design of the constructs. This article contributes to the literature by providing an alternative analysis.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
1 University of Málaga, Málaga, Spain
2 University Of Castilla-La Mancha, Cuenca, Spain