Print Email Facebook Twitter Measuring efficiency of university-industry Ph.D. projects using best worst method Title Measuring efficiency of university-industry Ph.D. projects using best worst method Author Salimi, N. (TU Delft Transport and Logistics) Rezaei, J. (TU Delft Transport and Logistics) Date 2016 Abstract A collaborative Ph.D. project, carried out by a doctoral candidate, is a type of collaboration between university and industry. Due to the importance of such projects, researchers have considered different ways to evaluate the success, with a focus on the outputs of these projects. However, what has been neglected is the other side of the coin—the inputs. The main aim of this study is to incorporate both the inputs and outputs of these projects into a more meaningful measure called efficiency. A ratio of the weighted sum of outputs over the weighted sum of inputs identifies the efficiency of a Ph.D. project. The weights of the inputs and outputs can be identified using a multi-criteria decision-making (MCDM) method. Data on inputs and outputs are collected from 51 Ph.D. candidates who graduated from Eindhoven University of Technology. The weights are identified using a new MCDM method called Best Worst Method (BWM). Because there may be differences in the opinion of Ph.D. candidates and supervisors on weighing the inputs and outputs, data for BWM are collected from both groups. It is interesting to see that there are differences in the level of efficiency from the two perspectives, because of the weight differences. Moreover, a comparison between the efficiency scores of these projects and their success scores reveals differences that may have significant implications. A sensitivity analysis divulges the most contributing inputs and outputs. Subject Best worst method (BWM)Collaborative Ph.D. projectEfficiencyMulti-criteria decision-makingUniversity-industry collaboration To reference this document use: http://resolver.tudelft.nl/uuid:874d2136-8e7a-4833-8d07-ebdd38108a4b DOI https://doi.org/10.1007/s11192-016-2121-0 ISSN 0138-9130 Source Scientometrics: an international journal for all quantitative aspects of the science of science, communication in science and science policy, 1-28 Part of collection Institutional Repository Document type journal article Rights © 2016 N. Salimi, J. Rezaei Files PDF art_10.1007_s11192_016_2121_0.pdf 916.09 KB Close viewer /islandora/object/uuid:874d2136-8e7a-4833-8d07-ebdd38108a4b/datastream/OBJ/view