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A Multi-Group Analysis of Innovation in Online Business Models

Abdullah F. Basiouni

Pertanika Journal of Tropical Agricultural Science, Volume 26, Issue T, March 2018

Keywords: Absorptive capacity, dynamic capability, e-commerce, Net-enabled Business Innovation Cycle, multi-group analysis

Published on: 8 Jun 2018

A sample of 295 firms in Canada across various sectors was used for testing the relationship between Net-enabled Business Innovation Cycle (NEBIC) and innovation in online business models. These firms were categorised as sectors with different levels of online selling adoption, online buying orientations and firms with different sizes. Quantitative analysis and SEM results revealed a reasonable fit between data collected and the model used: chi2 (4757.63), chi2 / DF (2.24), RMSEA (0.08), CFI (0.86), and TLI (0.86). The multi-group analysis showed statistically significant evidence that online seller's differentiated firms with smaller sizes and firms with no prior online buying to demonstrate the relationship between Net-enablement capability and the choice to sell online. However, firms from different sectors with different online selling adoption rates showed statistically insignificant differences. Therefore, when considering the adoption of new technologies such as online selling, smaller firms with no prior online buying may produce better results in their business models regardless of their associated business sectors' level of online selling adoption rates.

ISSN 1511-3701

e-ISSN 2231-8542

Article ID

JSSH-T0663-2018

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