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Shopping online and/or in-store? A structural equation model of the relationships between e-shopping and in-store shopping

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  • Farag, Sendy
  • Schwanen, Tim
  • Dijst, Martin
  • Faber, Jan

Abstract

Searching product information and buying goods online are becoming increasingly popular activities, which would seem likely to affect shopping trips. However, little empirical evidence about the relationships between e-shopping and in-store shopping is available. The aim of this study is to describe how the frequencies of online searching, online buying, and non-daily shopping trips relate to each other, and how they are influenced by such factors as attitudes, behaviour, and land use features. Questionnaire data were collected from 826 respondents residing in four municipalities (one urban, three suburban) in the centre of the Netherlands. Structural equation modelling was used to examine the variables' multiple and complex relationships. The results show that searching online positively affects the frequency of shopping trips, which in its turn positively influences buying online. An indirect positive effect of time-pressure on online buying was found and an indirect negative effect of online searching on shopping duration. These findings suggest that, for some people, e-shopping could be task-oriented (a time-saving strategy), and leisure-oriented for others. Urban residents shop online more often than suburban residents, because they tend to have a faster Internet connection. The more shopping opportunities one can reach within 10Â min by bicycle, the less often one searches online.

Suggested Citation

  • Farag, Sendy & Schwanen, Tim & Dijst, Martin & Faber, Jan, 2007. "Shopping online and/or in-store? A structural equation model of the relationships between e-shopping and in-store shopping," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(2), pages 125-141, February.
  • Handle: RePEc:eee:transa:v:41:y:2007:i:2:p:125-141
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    References listed on IDEAS

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    1. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    2. Yun, Dae-Sic & O'Kelly, M. E., 1997. "Modeling the day-of-the-week shopping activity and travel patterns," Socio-Economic Planning Sciences, Elsevier, vol. 31(4), pages 307-319, December.
    3. Sivaramakrishnan Srinivasan & Chandra Bhat, 2005. "Modeling household interactions in daily in-home and out-of-home maintenance activity participation," Transportation, Springer, vol. 32(5), pages 523-544, September.
    4. Helen Couclelis, 2004. "Pizza over the Internet: e-commerce, the fragmentation of activity and the tyranny of the region," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 16(1), pages 41-54, January.
    5. 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.
    6. Schwanen, Tim & Mokhtarian, Patricia L., 2005. "What if You Live in the Wrong Neighborhood? The Impact of Residential Neighborhood Type Dissonance on Distance Traveled," University of California Transportation Center, Working Papers qt5hh713d6, University of California Transportation Center.
    7. Gould, Jane & Golob, Thomas F., 1997. "Shopping Without Travel or Travel Without Shopping? An Investigation of Electronic Home Shopping," University of California Transportation Center, Working Papers qt6vc504h9, University of California Transportation Center.
    8. Patricia Mokhtarian, 2004. "A conceptual analysis of the transportation impacts of B2C e-commerce," Transportation, Springer, vol. 31(3), pages 257-284, August.
    9. Sendy Farag & Jesse Weltevreden & Ton van Rietbergen & Martin Dijst & Frank van Oort, 2006. "E-Shopping in the Netherlands: Does Geography Matter?," Environment and Planning B, , vol. 33(1), pages 59-74, February.
    10. Golob, Thomas F., 2001. "Joint models of attitudes and behavior in evaluation of the San Diego I-15 congestion pricing project," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(6), pages 495-514, July.
    11. David Evers, 2002. "The Rise (and fall?) of National Retail Planning," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 93(1), pages 107-113, February.
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