A Decision Support System Suggestion in Academic Personnel Performance Evaluation

Universities are the last level of education and aim to be a unique and leading university with their activities in science and technology. Of course, the biggest necessity of achieving this objective is the number of academic staffs with scientific competence. The competence of an academic staff is evaluated by different criteria systems. These criteria systems are based on the academic background of the academic staff; publications, articles, conference presentations, book and book chapters, lessons, undergraduate and graduate thesis advisors, awards, membership, administrative tasks, projects, research, references, exhibitions and so on. However, the criteria and assessment scores are different from university to university. The criteria generally consist of academic achievement and publication criteria, but do not consider whether the staff had a post-doctoral degree before, or how many years of academic history they had before. In this study, all criteria were removed by examining the existing Criteria such as appointment and promotion to universities, associate professorships and academic incentives are based on the academic background of academic staff; publications, articles, papers, book and book chapters, lectures, undergraduate and graduate thesis advisors, awards, membership, administrative tasks, projects, research, references, exhibitions and so on. It contains many studies. However, the criteria and criteria for evaluating these criteria vary from university to university. The criteria generally consist of academic achievement and publication criteria, but do not consider whether the staff had previously had a post-doc or a few academic years before. In this study, all criteria were determined by examining the current assignment and upgrade guidelines of universities and a decision support system proposal (DDS) was prepared to evaluate these criteria. Each university through the DSS by entering the parameter values according to their own criteria system and seeing the scores; will be able to make rankings on the basis of university, faculty or department. At the same time, each instructor will be able to analyze his / her own score in each field by other departments or individuals. All this as well as all higher education institutions in Turkey will assess the possibility of their positions within other institutions. In addition, by collecting all data that will affect the performance measurement of academic staff, the shortcomings of the evaluation will be closed and the CVs of all academic staff will be published