Food production is a critical activity in which every nation would like to be self-sufficient. India is one of the largest producers of food grains in the world. In India, nearly 70 percent of rural households still depend on agriculture for their livelihood. Keeping farmers happy is particularly important in India as farmers form a large vote bank which politicians dare not disappoint. At the same time, Governments need to balance the interest of farmers with consumers, intermediaries and society at large. The whole agriculture sector is highly information-intensive. Even with enormous collection of data and statistics from different arms of Government, there continue to be information gaps. In this paper we look at how Tantra Social Information Management Framework can help analyze the agricultural sector and transform the same using a holistic approach. Advantage of Tantra Framework approach is that it looks at societal information as a whole without limiting it to only the sector at hand. Tantra Framework makes use of concepts from Zachman Framework to manage aspects of social information through different perspectives and concepts from Unified Foundational Ontology (UFO) to represent interrelationships between aspects. Further, Tantra Framework interoperates with models such as Balanced Scorecard, Theory of Change and Theory of Separations. Finally, we model Indian Agricultural Sector as a business ecosystem and look at approaches to steer transformation from within.
翻译:粮食生产是每个国家都希望自给自足的关键活动。印度是世界上最大的粮食谷物生产国之一。在印度,近70%的农村家庭仍然依赖农业维持生计。在印度,维持农民的快乐特别重要,因为农民形成了一个政客不敢让其失望的大型投票银行。与此同时,政府需要平衡农民的利益与消费者、中介和整个社会的利益。整个农业部门都是高度信息密集型的。即使从政府不同部门收集了大量数据和统计数据,信息仍然存在缺口。此外,在本文中,我们研究了坦特拉社会信息管理框架如何能帮助分析农业部门,并采用整体方法改变同样的情况。坦特拉框架的优点是,它把社会信息作为一个整体看,而不仅限于手头部门。坦特拉框架利用扎克曼框架的概念,通过统一基础学(UFO)的不同观点和概念管理社会信息的各个方面。此外,坦特拉框架与诸如平衡计分卡、变革和印度最后的生态系统改革等模式进行了互动。印度最后,我们从生态系统改革中进行分化。