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Exploring the Drivers of E-Commerce through the Application of Structural Equation Modeling

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Exploring Services Science (IESS 2013)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 143))

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Abstract

E-commerce is a form of trade that has gained increasing attention from consumers and sellers. However, despite high growth rates, e-commerce still has low levels of consumers. This study aims to determine the factors that influence the purchasing decision in e-commerce, in order to better understand acceptance or rejection of e-commerce among consumers. To this end, a first framework was constructed based on previous research on consumer adoption of e-commerce. Then, three categories (derived from interviews) were added. This more complete model was tested using the structural equation model based on partial least squares. The results obtained allow us to conclude that the perceived relative advantage, the ease of use, the drawbacks associated with a non-European Union country of sale and the perceived risk, directly influence the consumer’s purchase intent in e-commerce. We also found a set of twelve variables that act as indirect influences.

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References

  1. Chen, Y.-Y.: Why Do Consumers Go Internet Shopping Again? Understanding the Antecedents of Repurchase Intention. Journal of Organizational Computing and Electronic Commerce 1, 38–63 (2012)

    Article  Google Scholar 

  2. Guo, L.: A Research on Influencing Factors of Consumer Purchasing Behaviors in Cyberspace. International Journal of Marketing Studies 3(3), 182–188 (2011)

    Article  Google Scholar 

  3. Kamarulzaman, Y.: E-consumer behaviour: Exploring the drivers of e-shopping. European Journal of Social Sciences 23(4), 579–592 (2011)

    Google Scholar 

  4. Zhou, L., Dai, L., Zhang, D.: Online shopping acceptance model-A critical survey of consumer factors in online shopping. Journal of Electronic Commerce Research 8, 41–62 (2007)

    Google Scholar 

  5. Monsuwé, T., Dellaert, B., Ruyter, K.: What drives consumers to shop online? A literature review. International Journal of Service Industry Management 15(1), 102–121 (2004)

    Article  Google Scholar 

  6. Park, C., Jun, J.-K.: A cross-cultural comparison of Internet buying behavior: Effects of Internet usage, perceived risks, and innovativeness. International Marketing Review 20(5), 534–553 (2003)

    Article  Google Scholar 

  7. Moore, R., Breazeale, M.: Electronic Commerce Research: The first 15 years in the fields of Marketing, Management, and Information Systems. Marketing Management Journal 20, 105–122 (2010)

    Google Scholar 

  8. Coppel, J.: E-commerce: Impacts and Policy Challenge. Economics Department Working Papers 252, 1–10 (2000)

    Google Scholar 

  9. Pavlou, P., Liang, H., Xue, Y.: Understanding and Mitigating Uncertainty in Online Exchange Relationships: A Principal-Agent Perspective. MIS Quarterly 31(1), 105–136 (2007)

    Google Scholar 

  10. Kim, D., Ferrin, D., Rao, H.: A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision Support Systems 44, 544–564 (2008)

    Article  Google Scholar 

  11. Glaser, B., Strauss, A.: The discovery of grounded theory. Aldine, Chicago (1967)

    Google Scholar 

  12. Lu, C.-S., Lai, K.-H., Cheng, T.C.E.: Application of structural equation modeling to evaluate the intention of shippers to use Internet services in liner shipping. European Journal of Operational Research 180(2), 845–867 (2007)

    Article  Google Scholar 

  13. Sekaran, U.: Research methods for business – a skill building approach, 4th edn. John Wiley and Sons, New York (2005)

    Google Scholar 

  14. Hair, J., Anderson, R., Tatham, R., Black, W.: Multivariate Data Analysis. Prentice Hall, Upper Saddle River (2006)

    Google Scholar 

  15. Fornell, C., Larcker, D.: Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research 18, 39–50 (1981)

    Article  Google Scholar 

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© 2013 Springer-Verlag Berlin Heidelberg

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Castro, A.F.G., Meneses, R.F.C., Moreira, M.R.A. (2013). Exploring the Drivers of E-Commerce through the Application of Structural Equation Modeling. In: Falcão e Cunha, J., Snene, M., Nóvoa, H. (eds) Exploring Services Science. IESS 2013. Lecture Notes in Business Information Processing, vol 143. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36356-6_23

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  • DOI: https://doi.org/10.1007/978-3-642-36356-6_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-36355-9

  • Online ISBN: 978-3-642-36356-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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