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This research is based on the premise that entrepreneurs require and aspire to hire the best human talent existing in the territories and with it, experience a certain satisfaction with the contracts made. That is why the objective of this paper is aimed at identifying, through multivariate statistics, those variables that from the theoretical and practical order affect the management of human resources at the territorial level and its modeling through an analysis of structural equations, which allows interpreting its impact on the satisfaction of entrepreneurs. The main results evinced demonstrate in accordance with the autochthonous characteristics of the analyzed object of study, that the process is of a multifactorial nature, with a decisive influence on the Processes dimension, being also important those related to the Strategic and Environment dimensions. It can be said that entrepreneur satisfaction is a direct expression of the level of management granted to the process dimension (DProcesses). The present study addresses the nature of the relationships between the variables considered in the context of a particular territory. The results have indicated that there are relationships between the variables that ensure the management of human resources at the territorial level and the satisfaction of entrepreneurs.

This paper aims to present a proposal to improve this methodology for the analysis of heterogeneous capacities based on the profit margin per product. Which was structured in three moments: development of the proposal, deployment in a business context, and validation of the results through the application of a linear programming method. This proposal considers the five initial steps of the existing tools as a starting point, taking as a reference the normal time available for each homogeneous group and introducing modifications in the steps. The application of the methodology in the conditions of SMEs demonstrated its ability to generate results superior to those of traditional methods and similar to those obtained by specific linear programming techniques.

This paper aims to present a proposal to improve this methodology for the analysis of heterogeneous capacities based on the profit margin per product. Which was structured in three moments: development of the proposal, deployment in a business context, and validation of the results through the application of a linear programming method. This proposal considers the five initial steps of the existing tools as a starting point, taking as a reference the normal time available for each homogeneous group and introducing modifications in the steps. The application of the methodology in the conditions of SMEs demonstrated its ability to generate results superior to those of traditional methods and similar to those obtained by specific linear programming techniques.

This research is based on the premise that entrepreneurs require and aspire to hire the best human talent existing in the territories and with it, experience a certain satisfaction with the contracts made. That is why the objective of this paper is aimed at identifying, through multivariate statistics, those variables that from the theoretical and practical order affect the management of human resources at the territorial level and its modeling through an analysis of structural equations, which allows interpreting its impact on the satisfaction of entrepreneurs. The main results evinced demonstrate in accordance with the autochthonous characteristics of the analyzed object of study, that the process is of a multifactorial nature, with a decisive influence on the Processes dimension, being also important those related to the Strategic and Environment dimensions. It can be said that entrepreneur satisfaction is a direct expression of the level of management granted to the process dimension (DProcesses). The present study addresses the nature of the relationships between the variables considered in the context of a particular territory. The results have indicated that there are relationships between the variables that ensure the management of human resources at the territorial level and the satisfaction of entrepreneurs.