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Are Ex‐Ante Hypothetical Bias Calibration Methods Context Dependent? Evidence from Online Food Shoppers in China

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  • Wen Lin
  • David L. Ortega
  • Vincenzina Caputo

Abstract

Consumers are increasingly turning to the Internet as a medium of acquiring food products. This study informs the consumer literature by assessing the effects of three ex‐ante hypothetical bias mitigation methods on Chinese consumer's stated online food shopping behavior: a cheap talk script, the solemn oath, and honesty priming. Using data from choice experiments (CEs), our analysis finds no significant differences in willingness to pay (WTP) values for select product attributes (origin, product rating, and number of reviews) between the various mitigation methods and a control group. Statistical tests and analysis provide evidence that hypothetical bias is not likely a significant concern when implementing certain studies using Internet‐based CEs to elicit marginal WTP values for online food product characteristics. We discuss how e‐commerce can better address consumer needs and explain the importance of our findings for study design and future research on consumer online food shopping behavior.

Suggested Citation

  • Wen Lin & David L. Ortega & Vincenzina Caputo, 2019. "Are Ex‐Ante Hypothetical Bias Calibration Methods Context Dependent? Evidence from Online Food Shoppers in China," Journal of Consumer Affairs, Wiley Blackwell, vol. 53(2), pages 520-544, June.
  • Handle: RePEc:bla:jconsa:v:53:y:2019:i:2:p:520-544
    DOI: 10.1111/joca.12202
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    Cited by:

    1. H. Holly Wang & Yu Jiang & Shaosheng Jin & Qiujie Zheng, 2022. "New online market connecting Chinese consumers and small farms to improve food safety and environment," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 70(4), pages 305-324, December.
    2. Dominici, Andrea & Boncinelli, Fabio & Gerini, Francesca & Marone, Enrico, 2021. "Determinants of online food purchasing: The impact of socio-demographic and situational factors," Journal of Retailing and Consumer Services, Elsevier, vol. 60(C).
    3. Yu, Aizhi & Cao, Jingsheng & She, Huiling & Li, Jian, 2023. "Unveiling the impact of E-commerce on smallholder livestock marketing: Insights on egg price premiums and mechanisms," Economic Analysis and Policy, Elsevier, vol. 80(C), pages 1582-1596.
    4. Haghani, Milad & Bliemer, Michiel C.J. & Rose, John M. & Oppewal, Harmen & Lancsar, Emily, 2021. "Hypothetical bias in stated choice experiments: Part II. Conceptualisation of external validity, sources and explanations of bias and effectiveness of mitigation methods," Journal of choice modelling, Elsevier, vol. 41(C).

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