Integrated Approach to Human Resource Forecasting: An Exercise in Agricultural Sector
R. C. Agrawal, Santosh Kumar Nanda, D. Rama Rao, B.V.L.N. Rao, Agrawal, Rashmi, Nanda, S.K., Rao, D. Rama, Rao, B.V.L.N.
Abstract
Open-access reader
R. C. Agrawal, Santosh Kumar Nanda, D. Rama Rao, B.V.L.N. Rao, Agrawal, Rashmi, Nanda, S.K., Rao, D. Rama, Rao, B.V.L.N.
Abstract
Open-access reader
This paper has described methodological framework for human resource forecasting in agriculture, especially for transforming human resource needs to educational requirements. It has provided a detailed description of methodological adaptations applied to human resource assessment in Indian agriculture. It has offered a mixed method with a brief revisit to classical Parnes manpower requirements approach and its adaptation to Indian agriculture. The method is perhaps suitable to many developing countries, where data needed for applications of more sophisticated forecasting methods adopted in the developed countries have limitations in terms of quality and quantity.
OpenAlex reports 3 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper has described methodological framework for human resource forecasting in agriculture, especially for transforming human resource needs to educational requirements. It has provided a detailed description of methodological adaptations applied to human resource assessment in Indian agriculture. It has offered a mixed method with a brief revisit to classical Parnes manpower requirements approach and its adaptation to Indian agriculture. The method is perhaps suitable to many developing countries, where data needed for applications of more sophisticated forecasting methods adopted in the developed countries have limitations in terms of quality and quantity.
Key concepts: Agriculture, Resource (disambiguation), Human resources, Adaptation (eye), Quality (philosophy), Environmental economics, Operations research, Computer science