جستجوی مقالات مرتبط با کلیدواژه « مدل تحلیل پوششی داده ها » در نشریات گروه « کتابداری و مدیریت اطلاعات »

This study evaluates and ranks the scientific journals of psychology using the Data Envelopment Analysis (DEA) model. In this study of data envelopment analysis technique, Anderson-Peterson model, CRS and VRS output-oriented, 2018 JCR ratings scientific journals of psychology were evaluated and the top journals ranked. This study has a quantitative approach and is an applied research. The research method is scientometrics and bibliometrics using Operational Research techniques. In this study, using data envelopment analysis technique, Anderson-Peterson model, CRS and VRS output-oriented, 2018 JCR ratings scientific journals of psychology were evaluated and the top journals ranked. Findings show that with the help of JCR indicators and using Anderson-Peterson CRS and VRS model, more accurate rankings of journals can be achieved. The comparison of scientific journals is in the ranking of CRS and VRS models. The journal of Psychological Science in the Public Interest tops in both models. Scientific journals of psychology were evaluated and ranked using the Anderson-Peterson CRS and VRS models. Also, the evaluation indicators of scientific journals in the Clarivate Analytics database were reviewed and the top three journals in 11 areas of psychology and the top 30 journals in this field were identified and introduced. The top 30 journals and their differences in CRS and VRS models were compared and analyzed.

Although investment in research and development (R&D) is a promising tool for technology centered organizations through achieving their objectives, resource constraints make organizations select between their pool of R&D projects. Evaluating and selecting research projects are decision maker's continual challenge referring to the importance of research projects alignment with organization strategic objectives. Although financial return is a common criterion applied in many cases of project evaluation, technologic and strategic alignment and project’s probability of success are critical criteria. Project portfolio management is a tool to identify and select projects and to determine to what extent they should be invested and which projects should be stopped in a certain period of time. In this study, the authors developed ae Data Envelopment Analysis-Balanced Scoreboard (DEA-BSC) model to support the R&D project portfolio evaluation and selection. The study describes the application of the developedproject portfolio selection method to research and development (R&D) projects of the National Iranian Gas Company (NIGC). The R&D project portfolio selection results were evaluated and validate by an expert panel of gas industry.