The Smart Police Model in the Command of Police Forces of the Islamic Republic of Iran

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Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Background and aim
The virtual space, as a product of information technology, has led to the migration of a significant portion of crimes from the physical realm to the virtual realm. The scope and impact of virtual crimes are much broader and deeper than physical crimes. Therefore, the Command Headquarters of Law Enforcement Forces of the Islamic Republic of Iran, as a technology-oriented organization, needs to move towards becoming an intelligent organization, specifically smart police, and achieving this goal without a suitable model and strategy is challenging. Accordingly, the aim of this research is to design the Smart Police model in the Command Headquarters of Law Enforcement Forces of the Islamic Republic of Iran.
Method
This study is applied research and qualitatively based in terms of methodology. The research population consists of experts in the field of information technology and management within and outside the organization. Using purposive sampling and based on theoretical saturation principle, 18 individuals were selected as the sample, and semi-structured interviews were conducted with them. Content analysis was used to analyze the data.
Results
By implementing the interviews and coding the participants' responses, the researchers focused on explaining the concepts and dimensions. Through content analysis of the interviews, 61 indicators and 17 sub-concepts (components) were obtained, which ultimately fell into four main dimensions ("employees," "process," "technology," and "structure").
Conclusion
The realization of the Smart Police model depends on strategic planning for the four dimensions of "employees," "process," "technology," and "structure," along with the 17 components and 61 indicators. The employment and coordination of these dimensions, components, and indicators play a fundamental role in achieving the Smart Police model.
Language:
Persian
Published:
Police Management Studies Quarterly, Volume:18 Issue: 1, 2023
Pages:
39 to 74
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