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Longitudinal Model Of E-Commerce: Environmental, Assessment

The apparent lessons learned from frequency distribution analysis and an assessment of the data do not get past the methodology to gain greater insights however. The researchers could have made a much more valuable study possible by using the methodology as the foundation instead of the fences or barriers to further accomplishment of analysis. The data also is sourced from a variety secondary research database, and it is apparent that the methodology to generate this data varies significantly. The researchers discount the variations in data sourcing by explaining they all had the same basic research objective of understanding the Spanish small and medium business adoption of e-commerce. The study does not resolve this issue but instead uses the statistical analysis to show intuitively...

The study concludes with the observation that over its duration, consumers' behavior was changing drastically and e-commerce platforms made it possible to stay current with the accelerating rate of change. This finding is used to galvanize all other parts of the study in an attempt to make it as consistent and unified as possible and succeed.
References

Rodriguez-Ardura, I., & Meseguer-Artola, A. (2010). Toward a Longitudinal Model of e-Commerce: Environmental, Technological, and Organizational Drivers of B2C Adoption. Information Society, 26(3), 209.

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References

Rodriguez-Ardura, I., & Meseguer-Artola, A. (2010). Toward a Longitudinal Model of e-Commerce: Environmental, Technological, and Organizational Drivers of B2C Adoption. Information Society, 26(3), 209.
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