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Modelling consumer risk reduction preferences from perceived loss data

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  • Greatorex, M.
  • Mitchell, V. W.

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  • Greatorex, M. & Mitchell, V. W., 1994. "Modelling consumer risk reduction preferences from perceived loss data," Journal of Economic Psychology, Elsevier, vol. 15(4), pages 669-685, December.
    • Handle: RePEc:eee:joepsy:v:15:y:1994:i:4:p:669-685
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    Cited by:

    1. Aghekyan-Simonian, Mariné & Forsythe, Sandra & Suk Kwon, Wi & Chattaraman, Veena, 2012. "The role of product brand image and online store image on perceived risks and online purchase intentions for apparel," Journal of Retailing and Consumer Services, Elsevier, vol. 19(3), pages 325-331.
    2. Mitchell, Vincent-Wayne & Davies, Fiona & Moutinho, Luiz & Vassos, Vassiliades, 1999. "Using Neural Networks to Understand Service Risk in the Holiday Product," Journal of Business Research, Elsevier, vol. 46(2), pages 167-180, October.
    3. Meents, S. & Verhagen, T. & Vlaar, P.W.L., 2011. "How sellers can stimulate purchasing in electronic marketplaces: Using information as a risk reduction signal," Serie Research Memoranda 0014, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    4. Lei, Jing & de Ruyter, Ko & Wetzels, Martin, 2008. "Consumer Responses to Vertical Service Line Extensions," Journal of Retailing, Elsevier, vol. 84(3), pages 268-280.
    5. Janakiraman, Narayan & Syrdal, Holly A. & Freling, Ryan, 2016. "The Effect of Return Policy Leniency on Consumer Purchase and Return Decisions: A Meta-analytic Review," Journal of Retailing, Elsevier, vol. 92(2), pages 226-235.
    6. Urvashi Tandon & Amit Mittal & Sridhar Manohar, 2021. "Examining the impact of intangible product features and e-commerce institutional mechanics on consumer trust and repurchase intention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(4), pages 945-964, December.
    7. Grewal, Dhruv & Iyer, Gopalkrishnan R. & Krishnan, R. & Sharma, Arun, 2003. "The Internet and the price-value-loyalty chain," Journal of Business Research, Elsevier, vol. 56(5), pages 391-398, May.
    8. Vineet Kaushik & Ashwani Kumar & Himanshu Gupta & Gaurav Dixit, 2022. "Modelling and prioritizing the factors for online apparel return using BWM approach," Electronic Commerce Research, Springer, vol. 22(3), pages 843-873, September.
    9. Mitchell, V. -W., 2001. "Re-conceptualizing consumer store image processing using perceived risk," Journal of Business Research, Elsevier, vol. 54(2), pages 167-172, November.
    10. Parment, Anders, 2013. "Generation Y vs. Baby Boomers: Shopping behavior, buyer involvement and implications for retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 20(2), pages 189-199.
    11. Kateryna Lysenko-Ryba & Dominik Zimon, 2021. "Customer Behavioral Reactions to Negative Experiences during the Product Return," Sustainability, MDPI, vol. 13(2), pages 1-14, January.

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