Organizational culture and job satisfaction on the faculty of Industrial Engineering in the context of university accreditation

Authors

  • Oscar Tinoco Gómez Universidad Nacional Mayor de San Marcos
  • Carlos Quispe Atúncar Universidad Nacional Mayor de San Marcos
  • Víctor Beltrán Sarav ia Universidad Nacional Mayor de San Marcos

DOI:

https://doi.org/10.15381/idata.v17i2.12048

Keywords:

job satisfaction, organizational culture

Abstract

The contemporary world requires consolidated organizations and institutions with the capacity to adequately fulfill its mission and vision, in which human resource plays a crucial role. Each organization has their uniqueness in organizational culture, it can be managed according to the strategic plan of the same. It is noteworthy that the organizational culture is not formed through speeches, but through strong actions. Similarly, the level of satisfaction of the people who work at the institution, public or private, is an aspect not missed in modern management, while its action depends on the achievement of organizational objectives. The study addressed the relationship between organizational culture and job satisfaction of teachers establishment of the Faculty of Mechanical Engineering of San Marcos, the same which looked upon the recognition of the state of research related to the problem of art, theoretical elaboration of each of the variables , arriving at their instruments measuring constructs. A direct relationship between the two variables was found.

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Author Biographies

  • Oscar Tinoco Gómez, Universidad Nacional Mayor de San Marcos
    Docente Asociado FII-UNMSM
  • Carlos Quispe Atúncar, Universidad Nacional Mayor de San Marcos
    Docente Principal FII-UNMSM
  • Víctor Beltrán Sarav ia, Universidad Nacional Mayor de San Marcos
    Docente Asociado FII-UNMSM

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Published

2014-12-20

Issue

Section

Producción y Gestión

How to Cite

Organizational culture and job satisfaction on the faculty of Industrial Engineering in the context of university accreditation. (2014). Industrial Data, 17(2), 56-66. https://doi.org/10.15381/idata.v17i2.12048