Fatores de inibição na compra on-line

Main Article Content

Luís Cavadas
Susana Costa e Silva
Carla Martins
António Andrade

Resumo

O objetivo deste trabalho consiste em identificar as barreiras ao comércio eletrónico em Portugal, face a outros países europeus. Foi adotado um modelo para compreender a variação das práticas de comércio eletrónico em Portugal com base em quatro dimensões: Risco Percebido, Facilidade de Uso Percebida, Utilidade Percebida, e Experiência Online. Este modelo foi testado numa amostra de 101 indivíduos, tendo sido possível encontrar uma correlação positiva entre as práticas de comércio eletrónico e a facilidade de utilização percebida, a utilidade percebida e a experiência online.

Palavras-chave: Comércio eletrônico, Risco percebido, Utilidade percebida, Experiência online

Downloads

Não há dados estatísticos.

Referências

Adams, D., Nelson R. & Todd, P. (1992). Perceived usefulness, ease of use and usage of information technology: a replication. MIS Quarterly 16(2):227-247. https://doi.org/10.2307/249577

Atif, Y. (2002). Building trust in e-commerce. IEE Internet Computing (January):18-24.

Bagchi, K. & M., Mahmood (2004). A longitudinal study of a business model of on-line shopping behavior using a latent growth curve approach. AMCIS 2006 Proceedings: Paper 240.

Bélanger, F. & L., Carter (2008). Trust and risk in e-government adoption. Strategic Information Systems 17: 165–176. https://doi.org/10.1016/j.jsis.2007.12.002

Bettman, R. (1973). Perceived risk and its components: a model and empirical test. Marketing Research 10(2): 184-190. https://doi.org/10.2307/3149824

Bhatnagar, A.,S., Misra & H.,. Rao (2000). On risk, convenience, and internet shopping behavior. Communications of the ACM 43(11): 98-105.

Briggs, B. (2016). Europeans grow more comfortable shopping online. Internet Retailer, portal to e-commerce intelligence, January 22, 2016.

Brynjolfsson, E. & M., Smith (2000). Frictionless commerce? - a comparison of internet and conventional retailers. Management Science 46(4): 563-585. https://doi.org/10.1287/mnsc.46.4.563.12061

Childers, T. L., C., Carr, J. Peck & S., Carson (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Retailing 77: 511–535. https://doi.org/10.1016/s0022-4359(01)00056-2

Chin, W. & P., Todd (1995). On the use, usefulness, and ease of use of structural Equation Modeling in MIS Research: A Note of Caution. MIS Quarterly 19(2): 237-246. https://doi.org/10.2307/249690

Corbitt, B., T., Thanasankit & H., Yi (2003). Trust and e-commerce: a study of consumer perceptions. Electronic Commerce Research and Applications 2: 203–215. https://doi.org/10.1016/s1567-4223(03)00024-3

Davis, D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. ABI/INFORM Global 13(3): 317-340. https://doi.org/10.2307/249008

Lardner, J. (1999). I know what you did last summer and fall. US News & World Report 126(15): 55.

Levin, M., C., Heath & I., Levin (2003). Product category dependent consumer preferences for online and offline features and their influence on multi-channel retail alliances. Electronic Commerce Research 4(3): 85-93.

Liebermann, Y. & S., Stashevsky (2002). Perceived risks as barriers to Internet and e-commerce usage. Qualitative Market Research: An International Journal 5(4): 291-300. https://doi.org/10.1108/13522750210443245

Lim, N. (2003). Consumers’ perceived risk: sources versus consequences. Electronic Commerce Research and Applications (2): 216–228. https://doi.org/10.1016/s1567-4223(03)00025-5

Loof, A. & H., Seybert (2009). Industry, trade and services, EuroStat.

McKnight, H., V., Choudhury & C., Kacmar (2002). developing and validating trust measures for e-commerce: an integrative typology. Information Systems Research 13(3): 334–359. https://doi.org/10.1287/isre.13.3.334.81

Mertler, A. & R., Vannatta (2002). Advanced and multivariate statistical methods - practical applicantions and interpretations. Pyrczak Publishing 2: 12-22.

Miyazaki, D. & A., Fernandez (2000). Consumer perception of privacy and security risks for online shopping. Working Paper, University of Miami.

Obercom, (2014). A Internet em Portugal – Sociedade em Rede 2014. [online] Available at: http://www.obercom.pt/client/?newsId=548&fileName=internet_portugal_2014.pdf [Accessed 26 Jan. 2016]

OECD (2014). Education at a Glance 2014 - OECD indicators. [online] Available at: https://www.oecd.org/edu/Education-at-a-Glance-2014.pdf [Accessed 26 Jan. 2016]. https://doi.org/10.1787/863a2d51-fi

OECD (2016). OECD Better Life Index. [online] Available at: http://www.oecdbetterlifeindex.org/topics/income/ [Accessed 19 May 2016].

Parker, B., H Hudson, D., Dillman & A., Roscoe (1989). Rural america in the information age: telecommunications policy for rural development. Lahnam, MD: University Press of America 43

Pavlou, A. (2003). Consumer acceptance of electronic commerce: integrating trust and risk with the technology acceptance model. Electronic Commerce 7(3): 69–103. https://doi.org/10.1080/10864415.2003.11044275

Perea, T. et al (2004). What drives consumers to shop online? A literature review. International Service Industry Management 15(1): 102-121. https://doi.org/10.1108/09564230410523358

Postnord [Online]. (2015). E-commerce in Europe 2015.