Work and organizational commitment index.

Shared perception and multilevel descriptors.

Authors

  • Yuri Fernández Capote Universidad de Ciego de Ávila (UNICA). https://orcid.org/0000-0002-9540-4301
  • Vivian Espinosa Rodríguez Empresa CEPIL de Ciego de Ávila. Ciego de Ávila, Cuba.

Abstract

The objective is to measure work and organizational commitment, through strategic and systemic interpretation, which articulates the subjective dimension (shared perception) and objective (index calculated from multilevel descriptors), for the contribution to the strategic management of this business intangible. Participant observation, analysis of official documents, free word association and the questionnaire are used in a single case study with a probabilistic sample by strata of 41 workers. The statistical analysis uses Microsoft Excel functions, SPSS v.25 and the free software Ucinet 6.0. The results include: 1) the update of the Cuban commitment model; 2) the diagnosis of shared perception; 3) the identification of twenty-seven (27) multilevel descriptors; 4) the determination of the sub-index of attitudinal and instrumental commitment, as well as the global index and priority index by descriptors, to guide management in the state enterprise investigated.

Author Biographies

Yuri Fernández Capote , Universidad de Ciego de Ávila (UNICA).

Profesor Auxiliar en la Dirección de Preparación y Superación de Cuadros (DPSC) de la Universidad de Ciego de Ávila (UNICA).

Vivian Espinosa Rodríguez, Empresa CEPIL de Ciego de Ávila. Ciego de Ávila, Cuba.

Psicóloga, Diplomada en dirección y gestión empresarial, Máster en Dirección, Directora de Capital Humano en la Empresa Cepil de Ciego de Ávila.

Published

2025-10-04

How to Cite

Fernández Capote , Y., & Espinosa Rodríguez, V. (2025). Work and organizational commitment index. : Shared perception and multilevel descriptors. Industrial Engineering (Ingeniería Industrial), 46, 1–27. Retrieved from https://rii.cujae.edu.cu/index.php/revistaind/article/view/1316

Issue

Section

Human Resources Management