Evaluating R&D Progress

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Evaluating R&D Progress

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Evaluating R&D Progress:

Evaluating R&D Progress Dr. G C Mohanta, BE(Mech), MSc(Engg), MBA, PhD(Mgt) Professor Al-Qurmoshi Institute of Business Management, Hyderabad - 500005

Evaluation of R&D Progress:

Evaluation of R&D Progress The evaluation of R&D progress is essential. Whether carried out systematically or on an ad-hoc basis, evaluations provide key information that enables more balanced, informed decision-making, and, as a result, save precious resources. The evaluation uses a range of methods to systematically investigate the effectiveness of R&D, its implementation and the processes, and to determine their merit, worth, or value in terms of improving R&D

Evaluating R&D Progress:

Evaluating R&D Progress There are various methods for evaluating R&D Progress. The following are some of the important methods: (i) Peer Review/Expert Judgment Method, (ii) Programme Performance Monitoring, (iii) Bibliometric Method, (iv) Data Mining, (v) Hotspot Patent Analysis, and (vi) Network Analysis.

Peer Review/Expert Judgment Method:

Peer Review/Expert Judgment Method Peer Review/Expert Judgment is qualitative review, opinion, and advice from experts on the subject being evaluated , based on objective criteria. The method combines program performance information with the many years of cumulative experience of the subject-matter experts, and focuses that informed expertise and experience on addressing key questions about a program, initiative, project, proposal, paper, topic, or other subject of focus. While information from other sources, including other methods of evaluation, may provide influential evidence, the ultimate conclusions about performance are based on the judgment of the experts .

Programme Performance Monitoring:

Programme Performance Monitoring Programme Performance Monitoring is a continuous assessment of key program functions organized internally by program management and carried out on an on-going basis. Monitoring entails setting up a data collection system for compiling key data on program activities of participants , interim achievements and outputs. The resulting data can be used to develop interim performance metrics or “indicators” of program progress, outputs, and outcomes, and are helpful in keeping a program on track and for guiding mid-course corrections. The data also contribute to evaluation studies.

Bibliometric Method:

Bibliometric Method Bibliometric Method is counting of publications & patents as indicators of R&D program’s knowledge output. Citation analysis of publications and patents is used to reveal relationships and linkages between a program’s knowledge outputs and efforts undertaken by others. Citations demonstrate the dissemination of knowledge , creating conditions for knowledge spill-over benefits. The frequency of citations may signal the importance of a program’s knowledge outputs to others. Counts of publications and patents filed are often included among an R&D program’s outputs, and measures of patents granted.

Data Mining:

Data Mining Data mining is the extraction of key concepts or relationships from large quantities of digitized natural language text. The method has also been called “literature-based discovery” (LBD), a descriptive name. As in the case of the other bibliometric methods, this approach focuses on written documents - a major output of research, and may include reports, publications, and textual components of patents or other documents. Data mining enables the efficient and effective management and use of large volumes of R&D texts by making it possible to integrate across document collections and to discover new information from existing sources.

Hotspot Patent Analysis:

Hotspot Patent Analysis Hotspot patent analysis identifies patents that are highly cited by recently issued patents. The technique offers an unobtrusive and unbiased way to uncover technological “hotspot clusters,” i.e., patented technologies that are currently having a large impact on innovation. According to recent studies, approximately 2% of recent patents are designated as hotspots . Old patents can also be hotspots if there is a recent big spike in citations of them.

Network Analysis:

Network Analysis Network Analysis (NA), is a method of visually mapping and measuring relationships and linkages among researchers, groups of researchers, laboratories , or other organizations. Network analysis shows how knowledge, particularly tacit knowledge, is disseminated via a variety of communication flows. Network analysis is relevant to evaluation of R&D programs because it identifies routes of interactions by which ideas, knowledge, and information flow among participants in R&D , thereby possibly influencing the nature, quality, quantity, and speed of research and innovation, as well as the dissemination of created knowledge through the network.

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