Designing a Pattern of Administrative Reform with Digital Governance Approach

Technological-centered reforms, especially in the public sector, have been put in most countries' agenda setting. The pattern of. “Open Government” relying on “Open Data” is among the new patterns for the digital governance. It aims at the execution of reforms and aligning with some paradigms (Open Government Paradigm) is an inevitable necessity for executing the policies for administrative. The open government is another outcome of digital governance evolution and the mentioned paradigm. Therefore, the present study aims at presenting a pattern based on governance in the digital age, “Open Government Pattern” for quickening the administrative reforms in the Ministry of Interior. The present study is fundamental, and its method is qualitative through employing the content analysis method. For compiling data and information, we have used the library research method and taking notes. Also, while interviewing the academic and administrative experts in the field, we have tried to compile and analyze the complementary data. The interviews were done with 16 academic and administrative experts in the field of study purposefully. By open and critical coding of acquired data through interviews (the qualitative section of the study), six primary themes have been coded for administrative reforms, recognition. The procedure took place based upon the Stephen & Neghendy Model. We have extracted 71 primary codes out of the interviews with experts in open coding. And finally, we categorized this network of themes into six central themes. The view of the experts (in the qualitative section of the study) for reforming the administrative reforms through employing the pattern of open government requires engineering of the cultural system, technology, and economic system as the most prominent factors for reforming administrative systems. The qualitative model (in the quantitative section of the study) was confirmed by the academic professors and experts through employing the methods of CVR and CVI.