Designing a semantic intelligence-based planning framework in the ministry of science, research and technology with two macro and detailed approaches
World Journal of Advanced Research and Reviews
Semantic data management in organizations requires careful design of the appropriate semantic planning model that can best drive the organization to its goals. Therefore, designing a semantic framework to make decisions with minimum error and intelligent use of semantic data is inevitable. Lack of a smart or systematic model or lack of a system in place, lack of timely and appropriate decision making, lack of evidence-based planning processes, departures from governance tasks and addressing or
... rowning in operational and ongoing work. There are reasons why organizations, especially the Ministry of Science, Research and Technology, need to design an appropriate model for this purpose. The purpose of the present study is to design an appropriate and effective planning model in the Ministry of Science, Research and Technology in a macro and detailed manner. For this purpose, in the first phase of the research, macro-planning Framework was developed in the Ministry of Science, Research and Technology by designing a heuristic research approach using qualitative research method with Grounded theory. Then, in the second phase, a detailed planning Framework at the Ministry of Science, Research and Technology was designed using the Structured Analysis Method (SSADM). The quality of the designed pattern in both phases of research was evaluated and validated using scientific methods. Finally, the designed model was analyzed and explained and suggestions for future research were presented.