Capacity versus incentive factors explaining research productivity: Comparative and multilevel analysis of Nigeria and Ghana agricultural research systems

Ragasa, Catherine

doi:10.5897/jdae2014-0610

Cited by 6 publications

(8 citation statements)

References 30 publications

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“…This has the potential to sustain cross-institutional collaboration among African partner institutions beyond the CARTA program Further, the number of cross-cohort publications within and outside fellows' institutions may be an indication that cross-cohort mentorship was useful, time will tell if this contributes to long-term research collaborations among CARTA fellows. Investing further in this practice can be deliberately encouraged even after the fellowship to enhance peer-learning and research capabilities, and produce quality and productive researchers on the African continent [28,29].…”

Section: Discussionmentioning

confidence: 99%

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Increasing collaborative research output between early-career health researchers in Africa: lessons from the CARTA fellowship program

Uwizeye

Karimi

Otukpa

et al. 2020

Global Health Action

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In 2008 nine African Universities and four African research institutions, in partnership with non-African institutions started the Consortium for Advanced Research Training in Africa (CARTA) to strengthen doctoral training and research capacity on health in Africa. This study describes particular aspects of the CARTA program that promotes collaboration between the PhD fellows in the program, and determines the patterns of collaborative publications that resulted from the intervention. We reviewed program monitoring and evaluation documents and conducted a bibliometric analysis of 806 peer-reviewed publications by CARTA fellows published between 2011 and 2018. Results indicate that recruiting multidisciplinary fellows from various institutions, encouraging registration of doctoral-level fellows outside home institutions, and organizing joint research seminars stimulated collaborative research on health-related topics. Fellows collaborated among themselves and with non-CARTA researchers. Fellows co-authored 75 papers (10%) between themselves, of which 53 (71%) and 42 (56%) included fellows of different cohorts and different disciplines respectively, and 19 (25%) involved fellows of different institutions. CARTA graduates continued to publish with each other after graduating-11% of the collaborative publications occurred post-graduationindicating that the collaborative approach was maintained after exiting from the program. However, not all fellows contributed to publishing collaborative papers. The study recommends concerted effort towards enhancing collaborative publications among the CARTA fellows, both doctoral and post-doctoral, which can include holding research exchange forums and collaborative grant-writing workshops.

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Section: Discussionmentioning

confidence: 99%

“…The collaborative publications between CARTA fellows suggest that this skill is being developed in some of the CARTA fellows. The various components of the CARTA program that promote collaboration appear to be related to the research capabilities of the CARTA fellows, a view shared by other authors [ 1 , 28 ].…”

Section: Discussionmentioning

confidence: 99%

Increasing collaborative research output between early-career health researchers in Africa: lessons from the CARTA fellowship program

Uwizeye

Karimi

Otukpa

et al. 2020

Global Health Action

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“…A number of researchers (viz. Babu and Singh, 1998;Landry, Traore and Godin, 1996;Bonaccorsi and Daraio, 2003;Stack, 2004;Hirsch, 2005;Turner and Mairesseb, 2005;Ohly Aligning R&D goals for selfsustainability et al, 2006;Anderson et al, 2007;Vinkler, 2007;Jacso, 2008;Post et al, 2009;Kelchtermans and Veugelers, 2011;Oeij et al, 2011;Obembe, 2012;Ragasa, 2012;Rotolo and Petruzzelli, 2013;Krell, 2012;White et al, 2012;Prathap, 2013;Ryu and Choi, 2016) have suggested that the determinants that influence the generation of R&D outputs in either positive or negative ways viz. "persistence", "initiative", "intelligence", "creativity", "learning capability", "concern for advancement", "professional commitment", "resource adequacy", "access to literature", "simulative leadership", "external orientation", "collaboration (viz.…”

Section: Determinants Of Randd Productivitymentioning

confidence: 99%

“…The quantity and quality of the outputs hold equal importance in R&D and both can be affected by the efficiency and purity of the process of their generation (Brown and Svenson, 1998;Al-Darrab, 2000;Ram ırez and Nembhard, 2004;Jyoti et al, 2008;Oeij et al, 2011;Ragasa, 2012). Wherein, the "efficiency" can be measured by "the rate of output generation by optimal utilization of resources (Griliches, 1994;Pritchard, 1995;Al-Darrab, 2000;Greiling, 2006;Phusavat, 2013)" and "purity" can be defined as "free from all the undesirable personal and organizational limitations that may hinder the process of output generation (viz.…”

Section: H12mentioning

confidence: 99%

Aligning individual and organizational R&D goals for self-sustainability: investigating preferences of researchers in selected CSIR laboratories, India

Kumari

Sahney

Madhukar

2021

IJPPM

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PurposeThis paper intends to explore the measure for aligning the goals of researchers toward achieving organizational R&D targets. The paper also explores the significance and ordering of R&D outputs and the factors that influence generation of R&D outputs, from the perspective of researchers working in the Indian public sector organizations.Design/methodology/approachData were collected in five Indian R&D laboratories, and weighted average method Spearman correlation coefficient and rank regression were utilized for the analysis.FindingsThe findings indicated that various groups of researchers prefer to target different R&D outputs and not all the factors are considered as equally significant in influencing the generation of R&D outputs. Further, the R&D organization should include preferred real factors while policy making for achieving collaborative efforts toward fulfilling organizational objectives. The set of selected R&D outputs and influencing factors were also ordered according to the average rankings given by the researchers.Practical implicationsThe findings can help R&D managers to identify the expectations of the researchers and include their preferences in R&D Planning. The study could be extended to a larger dataset of researchers working in other government as well as private R&D organizations.Originality/valueHardly any studies were found that explored the preferences of researchers with respect to R&D outputs and influencing factors with respect to the Indian public sector R&D laboratories.

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“…Reagans and Oeij et al (2011) analyzed the "Q4 -model of productivity" having variables "input quantity", "output quantity", "input quality" and "output quality" and showed that the productivity of knowledge workers could also be explained by these four variables. Ragasa (2012) explored the impacts of "quantity" and "quality" of publications on R&D productivity with respect to the researchers of Nigeria and Ghana Agricultural Research System. The author found that "quantity" and "quality" improve "organizational effectiveness" and this effectiveness could enhance productivity of researchers.…”

Section: Literature Reviewmentioning

confidence: 99%

Involvement and productivity of research and development workers

Kumari

Sahney

Madhukar

et al. 2015

International Journal of Productivity and Performance Management

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Purpose – The effect of global integration of businesses and interchange of ideas and technology through internet has many facets. Increase in economic recessions and decrease in research funding has forced both private and public sector research organizations to introduce measures of self-sustainability. Enhancing research and development (R&D) productivity of researchers can be one of those measures. The purpose of this paper is to attempt toward identifying and analyzing those factors of productivity that may be related to the manpower in R&D. Design/methodology/approach – Based upon the theoretical background and the nature of data available, this empirical study has been carried out as a case study for a public sector research laboratory. The extent of involvement in research projects have been analyzed with respect to the R&D outputs generated by the researchers, which if found to be positively related, may be focussed upon, for increasing productivity of manpower in R&D. Several other determinants of R&D productivity were identified from the literature review and were analyzed in association with the “involvement.” “Robust Regression” technique was used for the statistical analysis. Findings – It was found that the R&D productivity of researchers has a positive correlation with their extent of involvement in the R&D projects. Practical implications – The result may help in creation of the policies for enhancing organizational self-sustainability. Originality/value – Several prior studies have been conducted with different determinants of R&D productivity but hardly any studies were found considering “extent of manpower involvement in research projects.” This study can be useful for public sector research organizations to relate the findings with their endeavors of enhancing R&D productivity.

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Capacity versus incentive factors explaining research productivity: Comparative and multilevel analysis of Nigeria and Ghana agricultural research systems

Cited by 6 publications

References 30 publications

Increasing collaborative research output between early-career health researchers in Africa: lessons from the CARTA fellowship program

Increasing collaborative research output between early-career health researchers in Africa: lessons from the CARTA fellowship program

Aligning individual and organizational R&D goals for self-sustainability: investigating preferences of researchers in selected CSIR laboratories, India

Involvement and productivity of research and development workers

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