Information Systems Success Evaluation Model with emphasis on political, social and ethical factors in public institutions in Peru

Authors

  • John Jairo Pérez Tijero Universidad Nacional Agraria de la Selva
  • Rosa Sumactika Delgadillo Ávila De Mauricio Universidad Nacional Mayor de San Marcos. Lima, Peru.

DOI:

https://doi.org/10.15381/idata.v22i1.16537

Keywords:

Critical success factor; exploratory factor analysis; confirmatory factor analysis; structural equations

Abstract

This study proposes an information systems success model, with the addition of political, social, and ethical factors, applied to the Módulo de Gestión de Recursos Humanos [Human Resources Management Module] (MGRRHH) of the Ministry of Economy and Finance of Peru. The theoretical frameworks used included models proposed by various authors, finally assuming a theoretical evaluation model based on DeLone and McLean (2003), and Villegas (2010). Once the model was identified, with an appropriate adjustment and average validity (Cronbach's alpha, exploratory factor analysis, confirmatory factor analysis and structural equations), significant relationships were estimated based on the elements and components of success, which enabled the elimination of non-significant relationships and the proposal of a final model with all significant relationships.

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Author Biographies

  • John Jairo Pérez Tijero, Universidad Nacional Agraria de la Selva

    Computer and Systems Engineer from the Universidad Nacional Agraria de la Selva. Senior technical analyst at CANVIA (software solutions company). Lima, Peru.

  • Rosa Sumactika Delgadillo Ávila De Mauricio, Universidad Nacional Mayor de San Marcos. Lima, Peru.

    PhD in Production Engineering from the Pontifical Catholic University of Rio de Janeiro. Currently working as Professor at the Universidad Nacional Mayor de San Marcos. Lima, Peru.

Published

2019-07-31

Issue

Section

Sistemas e Informática

How to Cite

Information Systems Success Evaluation Model with emphasis on political, social and ethical factors in public institutions in Peru. (2019). Industrial Data, 22(1), 217-236. https://doi.org/10.15381/idata.v22i1.16537