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Consumers’ valuation of a live video feed in restaurant kitchens for online food delivery service

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  • Ding, Ye
  • Nayga Jr, Rodolfo M.
  • Zeng, Yinchu
  • Yang, Wei
  • Arielle Snell, Heather

Abstract

With the rapid development of online food delivery (OFD) service around the world, food safety issues are emerging. Traditional information-provision methods cannot alleviate the information asymmetry between consumers and restaurants in OFD service; therefore, a new approach must be found to increase consumers’ information and gain their trust. Live Kitchen, a live video feed in restaurant kitchens, offers a new idea for providing food safety information through network technology. Using data from 683 respondents in Beijing and Shanghai in China, we examine consumers’ valuation of Live Kitchen for OFD service by utilizing choice experiments and random parameter logit models with error components in WTP space. The results suggest that (i) consumers are willing to pay for Live Kitchen, more than traditional information-provision methods of license publicity and food safety supervision publicity, (ii) Live Kitchen can convey food safety information on OFD service to consumers, allowing them to draw a positive inference about the food safety of OFD service, and (iii) the application cost of Live Kitchen is much lower than the implied welfare gain.

Suggested Citation

  • Ding, Ye & Nayga Jr, Rodolfo M. & Zeng, Yinchu & Yang, Wei & Arielle Snell, Heather, 2022. "Consumers’ valuation of a live video feed in restaurant kitchens for online food delivery service," Food Policy, Elsevier, vol. 112(C).
    • Handle: RePEc:eee:jfpoli:v:112:y:2022:i:c:s0306919222001427
    DOI: 10.1016/j.foodpol.2022.102373
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    as
    1. Liu, Ruifeng & Gao, Zhifeng & Nayga, Rodolfo M. & Snell, Heather Arielle & Ma, Hengyun, 2019. "Consumers’ valuation for food traceability in China: Does trust matter?," Food Policy, Elsevier, vol. 88(C).
    2. Loomis, John & Bell, Paul & Cooney, Helen & Asmus, Cheryl, 2009. "A Comparison of Actual and Hypothetical Willingness to Pay of Parents and Non-Parents for Protecting Infant Health: The Case of Nitrates in Drinking Water," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 41(3), pages 697-712, December.
    3. James Murphy & P. Allen & Thomas Stevens & Darryl Weatherhead, 2005. "A Meta-analysis of Hypothetical Bias in Stated Preference Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 30(3), pages 313-325, March.
    4. Dhar, Ravi, 1997. "Consumer Preference for a No-Choice Option," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(2), pages 215-231, September.
    5. Kapoor, Anuj Pal & Vij, Madhu, 2018. "Technology at the dinner table: Ordering food online through mobile apps," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 342-351.
    6. Laura O. Taylor & Ronald G. Cummings, 1999. "Unbiased Value Estimates for Environmental Goods: A Cheap Talk Design for the Contingent Valuation Method," American Economic Review, American Economic Association, vol. 89(3), pages 649-665, June.
    7. Jill Windle & John Rolfe, 2011. "Comparing Responses from Internet and Paper-Based Collection Methods in more Complex Stated Preference Environmental Valuation Surveys," Economic Analysis and Policy, Elsevier, vol. 41(1), pages 83-97, March.
    8. Karen E. Lewis & Carola Grebitus & Gregory Colson & Wuyang Hu, 2017. "German and British Consumer Willingness to Pay for Beef Labeled with Food Safety Attributes," Journal of Agricultural Economics, Wiley Blackwell, vol. 68(2), pages 451-470, June.
    9. Yeo, Vincent Cheow Sern & Goh, See-Kwong & Rezaei, Sajad, 2017. "Consumer experiences, attitude and behavioral intention toward online food delivery (OFD) services," Journal of Retailing and Consumer Services, Elsevier, vol. 35(C), pages 150-162.
    10. McFadden, Jonathan R. & Huffman, Wallace E., 2017. "Consumer valuation of information about food safety achieved using biotechnology: Evidence from new potato products," Food Policy, Elsevier, vol. 69(C), pages 82-96.
    11. Greene, William H. & Hensher, David A. & Rose, John, 2006. "Accounting for heterogeneity in the variance of unobserved effects in mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 40(1), pages 75-92, January.
    12. Balogh, Péter & Békési, Dániel & Gorton, Matthew & Popp, József & Lengyel, Péter, 2016. "Consumer willingness to pay for traditional food products," Food Policy, Elsevier, vol. 61(C), pages 176-184.
    13. Van Loo, Ellen J. & Caputo, Vincenzina & Nayga, Rodolfo M. & Verbeke, Wim, 2014. "Consumers’ valuation of sustainability labels on meat," Food Policy, Elsevier, vol. 49(P1), pages 137-150.
    14. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    15. Scarpa, R. & Thiene, M. & Train, K., 2008. "Appendix to Utility in WTP space: a tool to address confounding random scale effects in destination choice to the Alps," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 90(4), pages 1-9, January.
    16. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521747387, November.
    17. Suk Won Lee & Hye Jin Sung & Hyeon Mo Jeon, 2019. "Determinants of Continuous Intention on Food Delivery Apps: Extending UTAUT2 with Information Quality," Sustainability, MDPI, vol. 11(11), pages 1-15, June.
    18. Wiktor Adamowicz & Peter Boxall & Michael Williams & Jordan Louviere, 1998. "Stated Preference Approaches for Measuring Passive Use Values: Choice Experiments and Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(1), pages 64-75.
    19. Neill, Clinton L. & Holcomb, Rodney B., 2019. "Does a food safety label matter? Consumer heterogeneity and fresh produce risk perceptions under the Food Safety Modernization Act," Food Policy, Elsevier, vol. 85(C), pages 7-14.
    20. Zhou, Jiehong & Liu, Qing & Mao, Rui & Yu, Xiaohua, 2017. "Habit spillovers or induced awareness: Willingness to pay for eco-labels of rice in China," Food Policy, Elsevier, vol. 71(C), pages 62-73.
    21. Roh, Minjung & Park, Kiwan, 2019. "Adoption of O2O food delivery services in South Korea: The moderating role of moral obligation in meal preparation," International Journal of Information Management, Elsevier, vol. 47(C), pages 262-273.
    22. Nielsen, Jytte Seested, 2011. "Use of the Internet for willingness-to-pay surveys: A comparison of face-to-face and web-based interviews," Resource and Energy Economics, Elsevier, vol. 33(1), pages 119-129, January.
    23. David A. Hensher, 2006. "How do respondents process stated choice experiments? Attribute consideration under varying information load," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(6), pages 861-878.
    24. Day, Brett & Bateman, Ian J. & Carson, Richard T. & Dupont, Diane & Louviere, Jordan J. & Morimoto, Sanae & Scarpa, Riccardo & Wang, Paul, 2012. "Ordering effects and choice set awareness in repeat-response stated preference studies," Journal of Environmental Economics and Management, Elsevier, vol. 63(1), pages 73-91.
    25. Glynn T. Tonsor, 2011. "Consumer inferences of food safety and quality," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 38(2), pages 213-235, June.
    26. Tao Ye & Ming Wang & Wuyang Hu & Yangbin Liu & Peijun Shi, 2017. "High liabilities or heavy subsidies," China Agricultural Economic Review, Emerald Group Publishing Limited, vol. 9(4), pages 588-606, November.
    27. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74(2), pages 132-132.
    28. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
    29. Anders Karlstrom, 2003. "A Simple Method of Incorporating Income Effects into Logit and Nested-Logit Models: Theory and Application," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(1), pages 248-253.
    30. Ortega, David L. & Wang, H. Holly & Wu, Laping & Olynk, Nicole J., 2011. "Modeling heterogeneity in consumer preferences for select food safety attributes in China," Food Policy, Elsevier, vol. 36(2), pages 318-324, April.
    31. Daniel N. Gilmour & Claudia Bazzani & Rodolfo M. Nayga & Heather A. Snell, 2019. "Do consumers value hydroponics? Implications for organic certification," Agricultural Economics, International Association of Agricultural Economists, vol. 50(6), pages 707-721, November.
    32. Riccardo Scarpa & Mara Thiene & Kenneth Train, 2008. "Utility in Willingness to Pay Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 994-1010.
    33. Riccarda Moser & Roberta Raffaelli & Sandra Notaro, 2014. "Testing hypothetical bias with a real choice experiment using respondents' own money," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(1), pages 25-46, February.
    34. Wolfe, Elijah & Popp, Michael & Bazzani, Claudia & Nayga Jr, Rudolfo & Danforth, Diana & Popp, Jennie & Chen, Pengyin & Seo, Han-Seok, 2016. "Consumers’ Willingness to Pay for Genetically Engineered Edamame," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 230016, Southern Agricultural Economics Association.
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