Big Data: Enabling Transformation Through Empowerment

Abstract

Macro variables influencing the performance of e-governance projects using big data were identified through a review of literature. Experts from the domain were interviewed for further inputs. A research questionnaire was developed, and the survey was conducted to measure the performance of e-governance projects and SA-P variables in the context of the selected project of CGHS under Ministry of Health and Family Welfare (MOHFW). Survey data were analyzed to assess the influence of S-A-P variables on the performance of e-governance projects using big data. The analysis revealed that the e-governance projects using big data with a high value of conceptualized S-A-P variables are characterized by high performance. This implies that conceptualized S-A-P variables for big data do influence the performance of e-governance projects. Also, the citizen empowerment is enhanced through citizen participation. The chapter proposed a framework that was conceptualized on the basis of a pilot study for a G2C e-governance projects like CGHS. It may be a good idea to study more such e-governance projects making use of big data to validate and generalize the proposed framework. Also, though GCHS does have a huge set of data, it is still not being analyzed to the fullest to support citizen-centric services. The analysis results may be relevant to the policy-makers or practitioners for e-governance projects to improve the performance of the implementation of these projects. This may be further compared with similar projects in health care like DGEHS run by Delhi government. This is of much relevance to the academicians.