Modeling Contingency Governance for Effectiveness Implementation of the General Policies of Article (44) of the Constitution

مدیریت دولتی. 2018;10(1):59-88 DOI 10.22059/jipa.2018.252875.2229

 

Journal Homepage

Journal Title: مدیریت دولتی

ISSN: 2008-5877 (Print); 2423-5342 (Online)

Publisher: University of Tehran

Society/Institution: University of Tehran, Faculty of Management

LCC Subject Category: Political science: Political institutions and public administration (General)

Country of publisher: Iran, Islamic Republic of

Language of fulltext: Persian

Full-text formats available: PDF

 

AUTHORS

Mohammad Oghbaei Jazani (PhD in Public Administration, Islamic Azad University, Isfahan Branch, Iran)
Akbar Etebarian (Associated Prof. of Public Administration, Islamic Azad University, Branch, Iran)
Mehraban Hadi Peykani (Assistant Prof. of Public Administration, Islamic Azad University, Branch, Iran)

EDITORIAL INFORMATION

Double blind peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 15 weeks

 

Abstract | Full Text

The purpose of this study is to design a contingency governance model for the effective implementation of the general principles of constitution (Article 44) in the country. In this research, the concepts, dimensions, components and indicators were reflected in the management books and the items of the questionnaire were also compiled from the approved indicators of the experts. The current state of effective implementation of the general principles of Article 44 of the constitution was examined by a single-sample T test and it was revealed that the public sector is in a rather favorable situation compared to the other two sectors. The results of the simple linear regression test showed that the public sector was 42.8%, the cooperative sector was 31.4%, and the private sector was 35.6% effective on the overall policy implementation of this principle of the constitution. Multiple linear regression analysis also indicated that the triple sections of predictor variables had 84.7% effect on the criterion variable. Artificial nural network model approved the results of the linear regression test, so it is expected that public sector continues to bypass the other two sectors as regards with the implementation effectiveness.