Introduction to the Algorithm of Problem Situation Analysis in Justice Research

Document Type : Original Research Paper

Authors

1 Professor of Islamic Philosophy and Kalam. Faculty of Islamic Philosophy and Theology, Imam Sadiq University, Tehran, Iran.

2 PhD Student of Public Administration, Faculty of Islamic Studies and Management, Imam Sadiq University, Tehran, Iran.

3 Graduate Student of Islamic Studies and Public Administration, Faculty of Islamic Studies and Management, Imam Sadiq University, Tehran, Iran.

Abstract
The most basic step in policy analysis is problem structuring. If the problem is not correctly formulated, it will not have the right solution. Misunderstanding of the problem situation or its negligence, as for example in the field of justice, will at best lead to putting forward a good solution to an incorrect problem. Therefore, correct analysis of the conditions of justice issues is necessary for the production of the right solution. Due to the lack of analytical tools in the field of justice decision-making and performance, this article seeks to design an algorithm of problem situation analysis as a tool in a step-by-step analysis of the justice problem situation. The task is carried out through extracting analytical elements and dimensions from justice literature, especially influential theories of justice. The algorithm of problem situation analysis in justice research includes seven dimensions: philosophical foundations, context, actor, the variable of the creator of right, object of distribution, time and result. Decision makers in the analysis of problem situation define their views relative to the elements of each of these dimensions. This work raises self-awareness in the decision-makers and policy-makers in relation to intervention characteristics. With using this algorithm, we can explain what, when, on which view, in what condition, by whom, to whom, with what criteria, and for the realization of which outcome will be or should be distributed.

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Volume 9, Issue 1 - Serial Number 33
Winter 2017
Pages 147-166

  • Receive Date 24 September 2016
  • Revise Date 14 January 2017
  • Accept Date 14 March 2017