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Roy Burman, R.
- Determinants of Research Productivity of Agricultural Scientists: Implications for the National Agricultural Research and Education System of India
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Authors
Affiliations
1 ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN
2 Krishi Anusandhan Bhawan-I, New Delhi 110 012, IN
1 ICAR-Indian Agricultural Research Institute, New Delhi 110 012, IN
2 Krishi Anusandhan Bhawan-I, New Delhi 110 012, IN
Source
Current Science, Vol 112, No 02 (2017), Pagination: 252-257Abstract
A micro level analysis for understanding the major determinants of research productivity of individual scientists in the National Agricultural Research and Education System of India was undertaken. A sample of two hundred scientists was drawn through multistage disproportionate stratified random sampling from a high performing and a low performing agricultural institute in India. Forced choice Q-sort technique was employed to record perception of respondents regarding relative influence exerted by selected variables on their research productivity and a factor analysis using principal component method with varimax rotation helped in extracting 11 major factors determining research productivity of agricultural scientists, namely, organizational research environment, creativity, perseverance and commitment, research facility, ability to work under constraint, incentive policy, proactiveness, purpose-driven orientation, achievement motivation, involvement in teaching and job satisfaction. The apparent uniformity in percentage variance contribution of these 11 factors implies that optimum research productivity of scientists can only be harnessed when personal and organizational factors work in harmony.Keywords
Agriculture, Determinants, Productivity, Research, Scientists.Full Text
- Constraints Experienced by Agricultural Scientists and Extension Personnel in Rice Knowledge Management and Delivery:A Case of Rice Knowledge Management Portal (RKMP)
Abstract Views :331 |
PDF Views:133
Authors
Affiliations
1 Division of Agricultural Extension, ICAR-Indian Agricultural Research Institute, New Delhi, IN
2 ICAR-Indian Agricultural Research Institute, New Delhi, IN
1 Division of Agricultural Extension, ICAR-Indian Agricultural Research Institute, New Delhi, IN
2 ICAR-Indian Agricultural Research Institute, New Delhi, IN
Source
Indian Journal of Economics and Development, Vol 5, No 11 (2017), Pagination: 1-8Abstract
Objectives: To study the constraints experienced by agricultural scientists and extension personnel in utilising and accessing information related to rice from Rice Knowledge Management Portal (RKMP).
Methods/Statistical Analysis: The research was conducted in purposively selected districts and simple random sampling technique was used to select the respondents. Ex-post facto research design was used; Different categories of constraints were collected through literature review, expert opinion. Data was collected using semi structured interview schedule. A three point continuum of severity using LIKERT type scale was used for getting responses. Friedman’s test was used to finding most important constraint within each group.
Findings: Agricultural scientists and extension personnel faced technological, social, economical and psychological constraints more severely. In case of technological constraints, lack of updated information, technical and infrastructure problems while using ICTs and poor maintenance of ICT tools were major constraints that agricultural scientists and extension personnel have faced. In case of social constraints, restriction to promote organisational information and less networking among extension personnel were found most limiting factors for using portal’s information. In case of psychological factors benefits given to particular group of people was found most severe and techno-phobia was found least affecting to respondents for utilising information. In case of economical constraints, high cost of internet and cost of computer/smart phones were limiting the use of information provided by RKMP.
Application/Improvements: The finding will help in restructuring and incorporating necessary modification for reaching the unreached for effective dissemination of information and making portal more effective for users to ensure timely and relevant information.
Keywords
Constraints, Technological, Social, Economical, Psychological, Friedman Test.Full Text
References
- A. Carneiro. How does knowledge management influence innovation and competitiveness? Journal of Knowledge Management. 2000 Jun; 4(2), 87-98.
- R.K. Rai. Knowledge management and organizational culture: a theoretical integrative framework. Journal of Knowledge Management. 2011 Sep, 5(5), 779-801.
- R. Syiem, S. Raj. Access and Usage of ICTs for Agriculture and Rural Development by the tribal farmers in Meghalaya State of North-East India. Journal of Agricultural Informatics. 2015; 6(3), 24-41.
- A. Kelles-Viitanen. The role of ICT in poverty reduction. The Finnish Economy and Society.2003, 82-94.
- V. Sangeetha, R.R. Burman, S.K. Dubey, J.P. Sharma, I. Singh. Attitude of agricultural stakeholders on use of Short Message Service (SMS) in transfer of technology. Indian Journal of Extension Education. 2015; 51, 60-65.
- A. Mathur, M. Goyal. Role of information technology in Indian agriculture. International Journal of Applied Engineering Research. 2014; 9(10), 1193-1198.
- S.N. Meera, A. Jhamtani, D.U.M. Rao. Information and communication technology in agricultural development: A comparative analysis of three projects from India. Agricultural Research and Extension Network. 2004; 1-13.
- K. Yadav, R.V. Sulaiman, N.T. Yaduraju, V. Balaji, T.V. Prabhakar. ICTs in knowledge management: the case of the Agropedia platform for Indian agriculture. Knowledge Management for Development Journal. 2015; 11(2), 5-22.
- M. Alavi, D.E. Leidner. Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS quarterly. 2001; 107-136.
- L.P. Tan, K.Y. Wong. Linkage between knowledge management and manufacturing performance: a structural equation modelling approach. Journal of knowledge management. 2015; 19(4), 814-835.
- L. Karadsheh, E. Mansour, S. Alhawari, G. Azar, N. El-Bathy. A theoretical framework for knowledge management process: towards improving knowledge performance. Communications of the IBIMA. 2009 Feb; 7, 67-79.
- S. Mondal. Text book of agricultural extension with global innovations. Kalyani Publishers. New Delhi. 2013.
- J. Chatterjee, T.V. Prabhakar. On to action–building a digital ecosystem for knowledge diffusion in rural India. WP 7: Community Networks and Digital Ecosystems. 2008, 1-11.
- V. Venkatasubramanian, P. Mahalakshmi. Innovative institutional approaches for Agricultural Knowledge System Management in India. Improving Agricultural Knowledge and Innovation Systems. 2012 Feb, 131-150.
- V.R. Sulaiman, A. Hall, N.J. Kalaivani, K. Dorai, T.V. Reddy. Necessary, but not sufficient: Critiquing the role of information and communication technology in putting knowledge into use. The Journal of Agricultural Education and Extension. 2012 Aug, 18(4), 331-346.
- V. Balaji. The fate of agriculture. In Seminar Magazine. 2009 Jun, 597.
- V.C. Patil, L.B. Hugar, P. Priya, A. Prabhuraj, V. Balaji, N.T. Yaduraj. Information and communication technologies for agriculture knowledge management in India. World Applied Sciences Journal. 2011; 14(5), 794-802.
- D.R. Das, P.S. Pandey, A.K. Mishra, S.N. Meera. Rice Knowledge Management Portal for Technology Dissemination: A Case Study for Haryana, Punjab and Uttarakhand States. Indian Journal of Extension Education. 2013; 49(1and2), 88-92.
- Shaik N. Meera, GAK Kumar, PS Pandey, S Arun Kumar and BC Viraktamath. Empowering farmers through Rice Knowledge Management Portal in India. Agricultural Information and Knowledge for All: Success Stories on ICT/ICM in the Asia-Pacific Region. Asia-Pacific Association of Agricultural Research Institutions (APAARI). FAO Regional Office for Asia & the Pacific. Bangkok. 2012. pp.35
- I. Faisal. Institutionalization of Agricultural Knowledge Management System for Digital Marginalized Rural Farming Community. In ISDA. 2010 Jun.
- R. Balakrishnan, M. Wason, R.N. Padaria, P. Singh, E. Varghese. An analysis of constraints in e-learning and strategies for promoting e-learning among farmers. Economic Affairs. 2014 Jul; 59, 1-727.
- Afroz S. Effectiveness of participatory video in dissemination of farm technology: A case of digital green. Doctoral dissertation, IARI, Divisionof Agricultural Extension, New Delhi, 2013.
- V. Balaji, N. Meera, S. Dixit. ICT-enabled knowledge sharing in support of extension: addressing the agrarian challenges of the developing world threatened by climate change, with a case study from India. Journal of SAT Agricultural Research. 2007; 4(1), 1-8.
- I.A. Akpabio, D.P. Okon, E.B. Inyang. Constraints affecting ICT utilization by agricultural extension officers in the Niger Delta, Nigeria. Journal of Agricultural Education and Extension.2007 Dec,; 13(4), 263-272.
- T.O. Banmeke, M.T. Ajayi. Farmers’ perception of the agricultural information resource centre at ago-are, Oyo State, Nigeria. Editorial Board. 2008; 1(1), 22-29.
- A.O. Ajayi, O.S. Alabi, T.O. Akinsola. Knowledge and perception of extension agents on information and communication technologies (ICTs) use in extension service delivery in on do State, Nigeria. African Journal of Agricultural Research. 2013 Dec, 8(48), 6226-6233.
- C.O. Albert. Constraints to effective use of ICT among extension professionals and farmers in extension delivery in Rivers State, Nigeria. Singaporean Journal of Business, Economics and Management Studies. 2014 Jun; 2(11), 136-142.
- E.N. Cynthia, T.S. Nwabugwu. Challenges to Adoption of ICT Tools by Agricultural Extension Workers in Anambra State, Nigeria. Asian Journal of Agricultural Extension, Economics & Sociology. 2016. 10(4), 1-6.
- A.E. Agwu, U.C. Uche-Mba, O.M. Akinnagbe. Use of information communication technologies (ICTs) among researchers, extension workers and farmers in Abia and Enugu states: Implications for a National Agricultural Extension Policy on ICTs. Journal of Agricultural Extension. 2008; 12(1).
- The Concept of Measuring Happiness and How India Can Go the Nordic Way
Abstract Views :272 |
PDF Views:77
Authors
Affiliations
1 ICAR Indian Agricultural Research Institute, New Delhi - 110 012, IN
1 ICAR Indian Agricultural Research Institute, New Delhi - 110 012, IN
Source
Current Science, Vol 116, No 1 (2019), Pagination: 26-28Abstract
Quantifying subjective well being or happiness has always been intriguing and with the advent of Gross National Happiness (GNH) index of Bhutan and World Happiness Report (WHR) by UN, it has become all the way more of a global issue. This study stratifies countries into Happiness Strata in a Global Happiness Map using the WHR 2018 indices, only to find that India is among the 42 Unhappy Nations of the world. The Nordic (Western European) countries seem to top the happiness charts with Denmark being consistently among the top five. The paper also discusses what India can learn and adopt from Denmark.Keywords
No Keywords.Full Text
References
- NCMH, Background papers: Burden of disease in India, Ministry of Health & Family Welfare, New Delhi, 2005.
- Masand, P., One in five Indians needs mental health counselling, reveals Government statistics. The Times of India, 10 October 2012.
- Mascarenhas, A., Mental illness India-s ticking bomb, only 1 in 10 treated: Lancet study. The Indian Express, 19 May 2016.
- https://en.wikipedia.org/wiki/Happiness
- Kalmijn, W. and Veenhoven, R. J., J. Happiness Stud., 2005, 6, 357–396; https://doi.org/10.1007/s10902-005-8855-7.
- Lyubomirsky, S. and Lepper, H. S., Social Indicat. Res., 1999, 46, 137–155.
- Frey, B. S. and Stutzer, A., Happiness and Economics, Princeton University Press, 2002.
- Kahneman, D., Diener, E. and Schwarz, N., Well-being: The Foundations of Hedonic Psychology, Russell Sage Foundation, New York, 1999.
- Taneja, D. K., Indian J. Commun. Med., 2014, 39(2), 68–72.
- Mohi-Ud-Din, M. and Barthwal, S., Int. J. Sci. Res., 2016, 5(12), 722–724.
- Hoop, T. D., Kempen, L. V., Linssen, R. and Erdewijk, A. V., Women's autonomy and subjective well-being in India: How village norms shape the impact of selfhelp groups, MPRA, Paper No. 25921, 2010.
- Fontaine, X. and Yamada, K., World Dev., 2014, 64, 407–419.
- Linssen, R., Kempen, L. V. and Kraaykamp, G., Soc. Ind. Res., 2011, 101(1), 57–72.
- Agrawal, J. et al., Soc. Indic. Res., 2011, 101(3), 419–434.
- The Economic Times, 89 per cent of India's population suffering from stress; most don't feel comfortable talking to medical professionals, 10 July 2018.
- http://www.educatingforgnh.com
- http://worldhappiness.report/ed/2018/
- https://tradingeconomics.com/denmark/ gdp-growth
- Ura, K., Alkire, S. and Zangmo, T., Case Study: Bhutan Gross National Happiness and the GNH Index. Part II of the World Happiness Report (eds Helliwell, J., Layard, R. and Sachs, J.), Centre for Bhutan Studies, Thimphu, Bhutan, 2010.
- OECD, Doctors (indicator), 2018; doi: 10.1787/4355e1ec-en
- World Economic Forum, The Global Gender Gap Report, 2017.
- Melnick, M., Denmark is considered the happiest country. You-ll never guess why. The Huffington Post, 22 October 2013.
- Dash, D. K., India loses Rs 60,000 crore due to traffic congestion: study. The Times of India, New Delhi, 31 May 2012.
- http://www.ivoindia.org/Images/voluntee ring-and-active-citizenship_tcm78-36149.pdf
- OECD, Health spending (indicator), 2018; doi: 10.1787/8643de7e-en.