RPG14 Idea: A Tool to Increase the Glare (of problem) in Academic Research Titles

Main Objective: This paper designs and presents an innovative tool [Real Problem Glare (RPG14)] that will actually determine the degree of glare and non-imaginariness of research titles. In other words, it is an operational model that criticizes the realness of research titles and then does the necessary essence-related and wording corrections to enhance the originality of research titles. Methodology: The present study used a mixed methodology. First, participatory action research was used to identify and understand the real challenges and needs in university-industry communications. At this stage, necessary data and information were collected in collaboration with representatives of universities and industries. Then, using grounded theory, data collected from in-depth interviews with 14 experts from academic, industrial, and government fields were analyzed. This analysis led to the identification and elimination of ambiguity, unreal, and unnecessariness of the research title in order to ensure that the problem is as real and tangible as possible, not imaginary, and to be considered as an accurate "point of departure" for the research. Findings: The results show that the designed tool (RPG14) increases the necessity of clarifying the causal-contextual conditions and intervening factors as well as strategies and the need for precise synergy between the aforementioned items, and ultimately will significantly prevent the obvious waste of resources, especially financial resources, time, trust, expectations, and credits related to research; and replace them with positive achievements and outcomes. Results: According to the approval of 14 experts, RPG14 (Real Problem Glare) will help research to be completely problem-oriented (away from subjectivity) with their achievement being nothing but a solved problem.
In this way, the relationship between the university, industry and government will become more significant based on increased trust, and knowledge-based problem solving will become more central and acceptable than before.