R&D PERFORMANCE MONITORING, EVALUATION, AND MANAGEMENT SYSTEM: A MODEL AND METHODS

Hakyeon Lee, Moon-Soo Kim (), Soung Ryong Yee and Kyungil Choe
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Hakyeon Lee: The Graduate School of Public and Information Technology, Seoul National University of Science and Technology, 172 Gongreung 2-dong, Nowon-gu, Seoul, 139-176, Republic of Korea
Moon-Soo Kim: Department of Industrial and Management Engineering, Hankuk University of Foreign Studies (HUFS), San 89, Wangsan-ri, Mohyeon-myun, Yongin-si, Kyongki-do 447-791, Republic of Korea
Soung Ryong Yee: Department of Industrial and Management Engineering, Hankuk University of Foreign Studies (HUFS), San 89, Wangsan-ri, Mohyeon-myun, Yongin-si, Kyongki-do 447-791, Republic of Korea
Kyungil Choe: Department of Industrial and Management Engineering, Hankuk University of Foreign Studies (HUFS), San 89, Wangsan-ri, Mohyeon-myun, Yongin-si, Kyongki-do 447-791, Republic of Korea

International Journal of Innovation and Technology Management (IJITM), 2011, vol. 08, issue 02, 295-313

Abstract: Since previous frameworks and methods for evaluation of national R&D have mainly focused on short-term R&D outputs, long-term R&D outcomes have been neglected so that they have failed to be fully utilized and spread. Thus, it is imperative to mirror long-term R&D outcomes in performance evaluation and utilize them through continuous management and monitoring. In response, this paper presents a model of R&D performance monitoring, evaluation, and management system (RPMEMS) for national R&D. The conceptual model of RPMES is presented with its scope, structure, role, and process. It is based on the logic model used in the planning and evaluation of public programs. This study also proposes two methods for relative comparison in the context of RPMEMS: analytic hierarchy process (AHP) and data envelopment analysis (DEA). The proposed model of RPMEMS and methods for relative comparison are expected to be effectively implemented and operated in the practice of management of national R&D.

Keywords: R&D performance monitoring; evaluation; and management system (RPMEMS); government research institutes (GRIs); logic model; data envelopment analysis (DEA); analytic hierarchy process (AHP) (search for similar items in EconPapers)
Date: 2011
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DOI: 10.1142/S0219877011002301

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