Dissecting the Complexity of RD Performance Measurement: Analyzing Subjective and Quantitative Approaches

摘要

The present paper attempts to explore the complexity of research and development (R&D) performance measurement in R&D organizations. It tackles the issue at two distinct levels of subjective and quantitative measures. For the former case, the paper reports a subjective measure of effectiveness of research units (RU), functioning within the laboratories under the Council of Scientific and Industrial Research (CSIR), India, a public-funded R&D laboratory system. It has been done in terms of four effectiveness measures - R&D effectiveness, recognition, user-orientedeffectiveness, and administrative effectiveness. For the latter case, the paper reports the construction of a multi-objective measure of research performance using partial order scoring (POSCOR) algorithm developed by Hunya as applied to an empirical data of research outputs of research units operating in different socio-cultural, institutional, and disciplinary settings.