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Assessing Benefits And Risks Of Online Shopping In Spain And Scotland

Author

Listed:
  • Silvina Santana

    (Department of Economics, Management and Industrial Engineering and Institute of Electronics Engineering and Telematic of Aveiro- University of Aveiro)

  • Sandra Loureiro

    (Department of Economics, Management and Industrial Engineering- University of Aveiro)

Abstract

The use of the Internet for shopping is increasing worldwide. Therefore, it has become very important to understand how consumers perceive its benefits and risks. In this paper, we address perceived benefits and risks of online shopping in Spain and Scotland. Building upon previous work done by others, a three-factor scale of perceived benefits and a four-factor scale of perceived risks were estimated. Women tend to perceive the enjoyment and adventure of online shopping more and are also more concerned with risks than men. Frequency of online searching correlates with perceived benefits and risks but its impact is different in the two countries. It is urgent to research the roles of emotion, interpersonal relationships and social involvement in conducting purchases online- an effort that will certainly require new models of consumer behavior and methodologies beyond the traditional quantitative techniques. Classification- JEL:

Suggested Citation

  • Silvina Santana & Sandra Loureiro, 2010. "Assessing Benefits And Risks Of Online Shopping In Spain And Scotland," Portuguese Journal of Management Studies, ISEG, Universidade de Lisboa, vol. 0(2), pages 161-172.
    • Handle: RePEc:pjm:journl:v:xv:y:2010:i:2:p:161-172
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    References listed on IDEAS

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    1. Ralph L. Keeney, 1999. "The Value of Internet Commerce to the Customer," Management Science, INFORMS, vol. 45(4), pages 533-542, April.
    2. Lee, Khai Sheang & Tan, Soo Jiuan, 2003. "E-retailing versus physical retailing: A theoretical model and empirical test of consumer choice," Journal of Business Research, Elsevier, vol. 56(11), pages 877-885, November.
    3. Bhatnagar, Amit & Ghose, Sanjoy, 2004. "Segmenting consumers based on the benefits and risks of Internet shopping," Journal of Business Research, Elsevier, vol. 57(12), pages 1352-1360, December.
    4. Forsythe, Sandra M. & Shi, Bo, 2003. "Consumer patronage and risk perceptions in Internet shopping," Journal of Business Research, Elsevier, vol. 56(11), pages 867-875, November.
    5. Ping, Robert Jr., 2004. "On assuring valid measures for theoretical models using survey data," Journal of Business Research, Elsevier, vol. 57(2), pages 125-141, February.
    6. Koyuncu, Cuneyt & Bhattacharya, Gautam, 2004. "The impacts of quickness, price, payment risk, and delivery issues on on-line shopping," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 33(2), pages 241-251, April.
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    Cited by:

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