Abstract
This paper examines the impact of net-enablement capability on the innovation in business model for online selling utilizing the Net-enabled Business Innovation Cycle (NEBIC) theoretical framework. Based on a sample of 296 online sellers across different Canadian sectors, the paper empirically tests for the invariant in the relationship between net-enablement capability and the innovation in online selling business model across three different groups of respondents. These groups were selected based on sector’s level of online selling, prior online buying experience, and firm size. The framework utilized structural equation modeling (SEM) and tested using AMOS 18.0. The results of the analyses demonstrate relatively a reasonable fit of the model to the data collected (c2=4757.62, c2/DF=2.23, RMSEA=0.07, CFI=0.87, TLI=0.87). Further, respondents grouped based on their prior online buying experience and firm size show variability in respect to the relationship between net-enablement capability and business model innovation for online selling.
Recommended Citation
Basiouni, Abdullah and Bahamdan, Walid, "Innovation in Online Selling Business Models: A Structural Equation Modeling-Based Multigroup Analysis" (2012). AMCIS 2012 Proceedings. 3.
https://aisel.aisnet.org/amcis2012/proceedings/EBusiness/3
Innovation in Online Selling Business Models: A Structural Equation Modeling-Based Multigroup Analysis
This paper examines the impact of net-enablement capability on the innovation in business model for online selling utilizing the Net-enabled Business Innovation Cycle (NEBIC) theoretical framework. Based on a sample of 296 online sellers across different Canadian sectors, the paper empirically tests for the invariant in the relationship between net-enablement capability and the innovation in online selling business model across three different groups of respondents. These groups were selected based on sector’s level of online selling, prior online buying experience, and firm size. The framework utilized structural equation modeling (SEM) and tested using AMOS 18.0. The results of the analyses demonstrate relatively a reasonable fit of the model to the data collected (c2=4757.62, c2/DF=2.23, RMSEA=0.07, CFI=0.87, TLI=0.87). Further, respondents grouped based on their prior online buying experience and firm size show variability in respect to the relationship between net-enablement capability and business model innovation for online selling.