Diffusion and Impacts of E-Commerce in the United States of America: Results from an Industry Survey

Vladislav V. Fomin, John L. King, Kalle J. Lyytinen, Sean T. McGann
2005 Communications of the Association for Information Systems  
Follow this and additional works at: https://aisel.aisnet.org/cais This material is brought to you by the AIS Journals at AIS Electronic Library (AISeL). It has been accepted for inclusion in Communications of the Association for Information Systems by an authorized administrator of AIS Electronic Library (AISeL). For more information, please contact elibrary@aisnet.org. Recommended Citation Fomin, Vladislav V.; King, John L.; Lyytinen, Kalle J.; and McGann, Sean T. (2005) "Diffusion and
more » ... of E-Commerce in the ABSTRACT The paper provides baseline conditions of the U.S. e-commerce in the post-dot.com era. The article examines the key factors that act as determinants of e-commerce diffusion. It is based on qualitative analysis of the U.S. industry survey data, matched to a similar data and analyses from other countries. It presents data taken from one of the most comprehensive sample surveys yet done of the U.S. firm activity in e-commerce. The paper analyses differences among three industry sectors, and between small/medium and large firms using both qualitative interpretations and direct observations from the survey data, as well as use of structural equation modeling of e-commerce diffusion and impacts. Some differences in e-commerce orientation and experience were found across the three industry sectors studied in the survey of 10 countries. These differences are related largely to the nature of the tasks done in the respective industries, and to prior industry-level investment and learning related to e-commerce. There were also differences found in e-commerce attitudes and experience between small/medium sized enterprises (SMEs) and large establishments. Only modest differences were found between U.S. and non-U.S. establishments. Quantitative analysis found significant regression relationships with their level of statistical significance. Results show that e-commerce adoption is path dependent (i.e., establishments 560
doi:10.17705/1cais.01628 fatcat:exlpsvg5rremxhhocrfzgyqsia