Open AccessAN ASSESSMENT AND MODELING OF CRITICAL SUCCESS FACTORS OF INDIAN AGRICULTURE USING INTERPRETIVE STRUCTURAL MODELLING AND MICMAC ANALYSIS
Author(s) -
Bhavesh Dave,
Vijay Kumar Sukhwani
Publication year - 2021
Publication title -
international journal of engineering applied science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-2143
DOI - 10.33564/ijeast.2021.v06i03.033
Subject(s) - agriculture , livelihood , critical success factor , process (computing) , linkage (software) , population , business , environmental resource management , knowledge management , process management , geography , computer science , economics , sociology , biochemistry , chemistry , demography , archaeology , gene , operating system
— The aim of this paper is to analyse themost practiced Critical Success Factors (CSFs) forIndian agriculture. India is an agriculturalcountry. Approximately three-fourth populationof India is primarily dependent on agriculture fortheir livelihood. Therefore, any improvement inagriculture can provide impetus to Indianeconomy. The success of this approach is rootedon the understanding of different enablers ofIndian agriculture. The most commonly acceptedCSFs for Indian agriculture were indentified fromthe literature. Then by agricultural expert’sopinion, interactions among those CSFs have beenstudied using Interpretive Structural Modeling(ISM). The findings through MICMAC analysisimplied that most of the CSFs are classified aslinkage variables and remaining are classified asIndependent variables. The developed modelprovides a road map that assists practitioners tounderstand the process through which CSFs arepracticed in a certain enterprise.