A R&D productivity model to achieve self-sustainability for public funded/CSIR R&D laboratories, India

Beena Kumari, Anuradha Madhukar and Sangeeta Sahney

International Journal of Productivity and Performance Management, 2023, vol. 73, issue 4, 1235-1272

Abstract: Purpose - The paper develops a model for enhancing R&D productivity for Indian public funded laboratories. The paper utilizes the productivity data of five Council of Scientific and Industrial Research (CSIR) laboratories for analysis and to form the constructs of the model. Design/methodology/approach - The weighted average method was employed for analyzing the rankings of survey respondents pertaining to the significant measures enhancing R&D involvement of researchers and significant non-R&D jobs. The authors have proposed a model of productivity. Various individual, organizational and environmental constructs related to the researchers working in the CSIR laboratories have been outlined that can enhance R&D productivity of researchers in Indian R&D laboratories. Partial Least Squares-Structural Equation Modeling (PLS-SEM) was used to find the predictability of the productivity model. Findings - The organizational factors have a crucial role in enhancing the R&D outputs of CSIR laboratories. The R&D productivity of researchers can be improved through implementing the constructs of the proposed model of productivity. Research limitations/implications - The R&D productivity model can be adapted by the R&D laboratories to enhance researchers’ R&D involvement, increased R&D outputs and achieving self-sustenance in long run. Practical implications - The R&D laboratories can initiate exercises to explore the most relevant factors and measures to enhance R&D productivity of their researchers. The constructs of the model can function as a guideline to introduce the most preferable research policies in the laboratory for overall mutual growth of laboratory and the researchers. Originality/value - Hardly any studies have been found that have focused on finding the measures of enhancing R&D involvement of researchers and the influence of significant time-intensive jobs on researchers’ productivity.

Keywords: R&D productivity model; CSIR; Mandays-involvement; Non –R&D jobs (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (text/html)
https://www.emerald.com/insight/content/doi/10.110 ... d&utm_campaign=repec (application/pdf)
Access to full text is restricted to subscribers

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eme:ijppmp:ijppm-09-2022-0457

DOI: 10.1108/IJPPM-09-2022-0457

Access Statistics for this article

International Journal of Productivity and Performance Management is currently edited by Dr Luisa Huatuco and Dr Nicky Shaw

More articles in International Journal of Productivity and Performance Management from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().