IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v81y2024ics0969698924003230.html
   My bibliography  Save this article

Quantifying consumers’ cost-value trade-offs on on-demand food delivery services: Value-of-time framework and partitioned pricing

Author

Listed:
  • Ma, Bohao
  • Wong, Yiik Diew
  • Teo, Chee-Chong
  • Sun, Shanshan

Abstract

This study aims to quantitatively characterize consumers' value-cost trade-offs in on-demand food delivery (ODFD) services. On the value side, the study endeavors to monetize the convenience value of ODFD with a Value-of-Time (VOT) framework, while on the cost side, this study investigates the implication of ODFD's partitioned pricing structure with the theoretical tenet of Attribution Theory.

Suggested Citation

  • Ma, Bohao & Wong, Yiik Diew & Teo, Chee-Chong & Sun, Shanshan, 2024. "Quantifying consumers’ cost-value trade-offs on on-demand food delivery services: Value-of-time framework and partitioned pricing," Journal of Retailing and Consumer Services, Elsevier, vol. 81(C).
  • Handle: RePEc:eee:joreco:v:81:y:2024:i:c:s0969698924003230
    DOI: 10.1016/j.jretconser.2024.104027
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698924003230
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jretconser.2024.104027?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Schmid, Basil & Molloy, Joseph & Peer, Stefanie & Jokubauskaite, Simona & Aschauer, Florian & Hössinger, Reinhard & Gerike, Regine & Jara-Diaz, Sergio R. & Axhausen, Kay W., 2021. "The value of travel time savings and the value of leisure in Zurich: Estimation, decomposition and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 186-215.
    2. William P. Anderson & Lata Chatterjee & T.R. Lakshmanan, 2003. "E‐commerce, Transportation, and Economic Geography," Growth and Change, Wiley Blackwell, vol. 34(4), pages 415-432, September.
    3. Tong, Tingting & Dai, Hongyan & Xiao, Qin & Yan, Nina, 2020. "Will dynamic pricing outperform? Theoretical analysis and empirical evidence from O2O on-demand food service market," International Journal of Production Economics, Elsevier, vol. 219(C), pages 375-385.
    4. Kotzab, Herbert & Yumurtacı Hüseyinoğlu, Işık Özge & Şen, Irmak & Mena, Carlos, 2024. "Exploring home delivery service attributes: Sustainability versus delivery expectations during the COVID-19 pandemic," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    5. Manlu Chen & Ming Hu & Jianfu Wang, 2022. "Food Delivery Service and Restaurant: Friend or Foe?," Management Science, INFORMS, vol. 68(9), pages 6539-6551, September.
    6. Johannes Voester & Bjoern Ivens & Alexander Leischnig, 2017. "Partitioned pricing: review of the literature and directions for further research," Review of Managerial Science, Springer, vol. 11(4), pages 879-931, October.
    7. Tsai, Pei-Hsuan & Chen, Chih-Jou & Hsiao, Wei-Hung & Lin, Chin-Tsai, 2023. "Factors influencing the consumers’ behavioural intention to use online food delivery service: Empirical evidence from Taiwan," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    8. Ma, Bohao & Adam, Shahdzah Wati Binte & Teo, Chee-Chong & Wong, Yiik Diew, 2024. "How do consumers’ fashion lifestyles differentiate their logistics preferences for fashion products?," Journal of Retailing and Consumer Services, Elsevier, vol. 79(C).
    9. Annelies Schoeters & Maxime Large & Martin Koning & Laurent Carnis & Stjin Daniels & Dominique Mignot & Raschid Urmeew & Wim Wijnen & Frits Bijleveld & Martin van der Horst, 2022. "Economic valuation of preventing fatal and serious road injuries. Results of a Willingness-To-Pay study in four European countries," Post-Print hal-03782320, HAL.
    10. Schweitzer, Virginie & Simon, Françoise, 2021. "Self-construals as the locus of paradoxical consumer empowerment in self-service retail technology environments," Journal of Business Research, Elsevier, vol. 126(C), pages 291-306.
    11. Vij, Akshay & Walker, Joan L., 2016. "How, when and why integrated choice and latent variable models are latently useful," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 192-217.
    12. David Hensher & William Greene, 2003. "The Mixed Logit model: The state of practice," Transportation, Springer, vol. 30(2), pages 133-176, May.
    13. Meena, Purushottam & Kumar, Gopal, 2022. "Online food delivery companies' performance and consumers expectations during Covid-19: An investigation using machine learning approach," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    14. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, November.
    15. Basu, Debasis & Hunt, John Douglas, 2012. "Valuing of attributes influencing the attractiveness of suburban train service in Mumbai city: A stated preference approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(9), pages 1465-1476.
    16. Weiner, Bernard, 2000. "Attributional Thoughts about Consumer Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 27(3), pages 382-387, December.
    17. Schmid, Basil & Axhausen, Kay W., 2019. "In-store or online shopping of search and experience goods: A hybrid choice approach," Journal of choice modelling, Elsevier, vol. 31(C), pages 156-180.
    18. Tandon, Anushree & Kaur, Puneet & Bhatt, Yogesh & Mäntymäki, Matti & Dhir, Amandeep, 2021. "Why do people purchase from food delivery apps? A consumer value perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    19. Jo, Hanseul & Shin, Jungwoo, 2024. "Evidence-based equilibrium analysis of two-sided market in food delivery industry," Journal of Retailing and Consumer Services, Elsevier, vol. 77(C).
    20. Oyama, Yuki & Fukuda, Daisuke & Imura, Naoto & Nishinari, Katsuhiro, 2024. "Do people really want fast and precisely scheduled delivery? E-commerce customers' valuations of home delivery timing," Journal of Retailing and Consumer Services, Elsevier, vol. 78(C).
    21. Ilka Dubernet & Kay W. Axhausen, 2020. "The German value of time and value of reliability study: the survey work," Transportation, Springer, vol. 47(3), pages 1477-1513, June.
    22. Ma, Bohao & Wong, Yiik Diew & Teo, Chee-Chong & Wang, Ziyan, 2024. "Enhance understandings of Online Food Delivery's service quality with online reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    23. Daniel Belanche & Luis V. Casaló & Carlos Flavián & Alfredo Pérez-Rueda, 2021. "The role of customers in the gig economy: how perceptions of working conditions and service quality influence the use and recommendation of food delivery services," Service Business, Springer;Pan-Pacific Business Association, vol. 15(1), pages 45-75, March.
    24. Andrew Daly & Stephane Hess & Kenneth Train, 2012. "Assuring finite moments for willingness to pay in random coefficient models," Transportation, Springer, vol. 39(1), pages 19-31, January.
    25. Virginie Schweitzer & Françoise Simon, 2021. "Self-construals as the locus of paradoxical consumer empowerment in self-service retail technology environments," Post-Print hal-03110766, HAL.
    26. Jensen, Birger Boutrup & Grunert, Klaus G., 2014. "Price Knowledge During Grocery Shopping: What We Learn and What We Forget," Journal of Retailing, Elsevier, vol. 90(3), pages 332-346.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ma, Bohao & Wong, Yiik Diew & Teo, Chee-Chong & Wang, Ziyan, 2024. "Enhance understandings of Online Food Delivery's service quality with online reviews," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    2. Schmid, Basil & Becker, Felix & Axhausen, Kay W. & Widmer, Paul & Stein, Petra, 2023. "A simultaneous model of residential location, mobility tool ownership and mode choice using latent variables," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    3. Schmid, Basil & Axhausen, Kay W., 2019. "In-store or online shopping of search and experience goods: A hybrid choice approach," Journal of choice modelling, Elsevier, vol. 31(C), pages 156-180.
    4. Scaccia, Luisa & Marcucci, Edoardo & Gatta, Valerio, 2023. "Prediction and confidence intervals of willingness-to-pay for mixed logit models," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 54-78.
    5. de Ayala, Amaia & Hoyos, David & Mariel, Petr, 2015. "Suitability of discrete choice experiments for landscape management under the European Landscape Convention," Journal of Forest Economics, Elsevier, vol. 21(2), pages 79-96.
    6. Bernadeta Gołębiowska & Anna Bartczak & Mikołaj Czajkowski, 2020. "Energy Demand Management and Social Norms," Energies, MDPI, vol. 13(15), pages 1-20, July.
    7. Giergiczny, Marek & Czajkowski, Mikołaj & Żylicz, Tomasz & Angelstam, Per, 2015. "Choice experiment assessment of public preferences for forest structural attributes," Ecological Economics, Elsevier, vol. 119(C), pages 8-23.
    8. Bottero, Marta & Bravi, Marina & Caprioli, Caterina & Dell'Anna, Federico, 2023. "Combining Revealed and Stated Preferences to design a new urban park in a metropolitan area of North-Western Italy," Ecological Modelling, Elsevier, vol. 483(C).
    9. Gustavo Ahumada & Victor Iturra & Mauricio Sarrias, 2020. "We Do Not Have the Same Tastes! Evaluating Individual Heterogeneity in the Preferences for Amenities," Journal of Happiness Studies, Springer, vol. 21(1), pages 53-74, January.
    10. Isler, Cassiano Augusto & Blumenfeld, Marcelo & Caldeira, Gabriel Pereira & Roberts, Clive, 2024. "Long-Distance railway mode choice in Brazil: Evidence from a discrete choice experiment," Research in Transportation Economics, Elsevier, vol. 104(C).
    11. Nannan Kang & Erda Wang & Yang Yu, 2019. "Valuing forest park attributes by giving consideration to the tourist satisfaction," Tourism Economics, , vol. 25(5), pages 711-733, August.
    12. Giergiczny, Marek & Valasiuk, Sviataslau & Czajkowski, Mikolaj & De Salvo, Maria & Signorello, Giovanni, 2012. "Including cost income ratio into utility function as a way of dealing with ‘exploding’ implicit prices in mixed logit models," Journal of Forest Economics, Elsevier, vol. 18(4), pages 370-380.
    13. Weller, Priska & Elsasser, Peter, 2018. "Preferences for forest structural attributes in Germany – Evidence from a choice experiment," Forest Policy and Economics, Elsevier, vol. 93(C), pages 1-9.
    14. Malte Welling & Ewa Zawojska & Julian Sagebiel, 2022. "Information, Consequentiality and Credibility in Stated Preference Surveys: A Choice Experiment on Climate Adaptation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(1), pages 257-283, May.
    15. van de Sanden, Stephanie & Willems, Kim & Brengman, Malaika, 2022. "How customers motive attributions impact intentions to use an interactive kiosk in-store," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    16. Kim, Sung Hoo & Mokhtarian, Patricia L., 2023. "Finite mixture (or latent class) modeling in transportation: Trends, usage, potential, and future directions," Transportation Research Part B: Methodological, Elsevier, vol. 172(C), pages 134-173.
    17. Bansal, Prateek & Kumar, Rajeev Ranjan & Raj, Alok & Dubey, Subodh & Graham, Daniel J., 2021. "Willingness to pay and attitudinal preferences of Indian consumers for electric vehicles," Energy Economics, Elsevier, vol. 100(C).
    18. Straubinger, Anna & de Groot, Henri L.F. & Verhoef, Erik T., 2023. "E-commerce, delivery drones and their impact on cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    19. Wang, Kaili & Gao, Ya & Liu, Yicong & Nurul Habib, Khandker, 2023. "Exploring the choice between in-store versus online grocery shopping through an application of Semi-Compensatory Independent Availability Logit (SCIAL) model with latent variables," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    20. Dorner, Zach & Brent, Daniel A. & Leroux, Anke, 2016. "Eliciting Risk Preferences for Intrinsic Attributes," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 236644, Agricultural and Applied Economics Association.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:joreco:v:81:y:2024:i:c:s0969698924003230. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.