A Structural Equation Modeling Approach for Adoption of Big Data Analytics by SMEs in India

Abstract

Big data means a large volume of data used and stored by different firms in their day-to-day operations. It is a field that extracts and analyzes a complex, large volume of data. This research is conducted to study the adoption of big data in Indian SMEs using the TOE framework. This research created awareness for the adoption of big data software in Indian SMEs. For this, a structured literature review was conducted. Three independent variables, technological, organizational, and environmental perspectives, are identified. Survey is carried out in the SMEs with the help of questionnaires. The target population is IT managers, plant managers, owners, and directors. For data analysis, exploratory factor analysis using SPSS 20.0 software and structural equation modeling using AMOS 20.0 software is used. The developed model using three independent variables and one dependent variable showed a good fit.