1Research Scholar, School of Business Management, NMIMS University, Mumbai, India, E-mail ID: girish.bagale@nmims.edu
2Professor, School of Business Management, NMIMS University, Mumbai, India, E-mail ID: BalaK@nmims.edu
JEL Code: L61, L81, M15
This study fills the research gap in E-commerce implementation, in B2B context, in Automobile Sector-medium enterprises. Collected data were analyzed, by using advanced multivariate statistical software of Structural Equation Modelling (Smart PLS). The analysis involved three iteration processes where several of the factors were deleted in order to make the model acceptable. The result of the analysis found that R2 value of the model was 0.461, which indicated that the developed model had substantial impact on E-commerce implementation prediction, under environmental and individual context variables. This study found environmental context (Trading partner pressure and Competitive pressure) and individual context (Manager/Owner's IS Knowledge and Innovativeness) variables, to have a strong effect on E-commerce adoption and implementation in automobile medium enterprises.
E-commerce, Micro, Small and Medium Enterprises (MSME), Partial Least Square-Structural Equation Modeling (PLS-SEM) and Information and Communication Technology (ICT)
