Modeling the Challenges of Establishing a Data-Driven Organizational Culture in Iranian Government Organizations (Case Study: Organizations under the Ministry of Defense)

Document Type : Case study

Authors

1 Associate Professor, Department of Industrial Management and Faculty Member of Malek Ashtar University of Technology, Tehran, Iran

2 PhD, Researcher of Malek Ashtar University of Technology, Tehran, Iran

3 MA., Malek Ashtar University of Technology, Tehran, Iran

Abstract

In the era where paying attention to information and data in organizations leads to the growth of performance and a positive attitude towards the organization, in large government organizations we see a lack of attention to data and data-driven, which will lead to the benefit of the organization-based organization. The present study was conducted to identify and model the challenges of establishing a data-driven culture in Iranian government organizations in order to remove barriers and establish a data-driven culture in these organizations. Government organizations in the present study (scope of research) means organizations subordinated to the Ministry of Defense (VDJA). This applied-descriptive research has been done in the paradigm of interpretivism and with a mixed approach (qualitative-quantitative). Data were collected using existing knowledge resource study methods, semi-structured interviews and interpretive structural questionnaires and analyzed using oriented qualitative content analysis and interpretive structural modeling. The statistical population of the present study in both quantitative and qualitative parts of this study included experts in organizational culture and data science in defense organizations, which was conducted by purposive sampling method and until the theoretical saturation of 16 interviews. The content of the content analysis was provided to the experts in order to check the validity of the extracted dimensions and components, and the necessary adjustment was performed. The reliability of the content analysis output was measured by the Holstie method with a coefficient of 0.8. The result led to the design of a model of challenges to establishing a data-driven culture in defense organizations. Findings showed that the eight dimensions of organizational, decision making, data context, environmental culture, management, strategic, logistics, individual - personality are important and key challenges in establishing a data-driven culture that these dimensions form the integrated model. They interact with each other. The results also showed that the most effective and influential dimension is environmental culture and the dimensions of logistics, data texture and individual-personality components were the most effective dimensions. The structural-interpretive model itself has the required reliability and validity and there is no reason to examine them.

Keywords

References

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Strategic Management of Organizational Knowledge
Volume 4, Issue 4 - Serial Number 15
December 2022
Pages 111-149

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History

  • Receive Date: 23 February 2022
  • Revise Date: 14 March 2022
  • Accept Date: 11 March 2022

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