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Evaluation of collaborative consumption of food delivery services through web mining techniques

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  • Correa, Juan C.
  • Garzón, Wilmer
  • Brooker, Phillip
  • Sakarkar, Gopal
  • Carranza, Steven A.
  • Yunado, Leidy
  • Rincón, Alejandro

Abstract

Online food delivery services rely on urban transportation to alleviate customers' burden of traveling in highly dense cities. As new business models, these services exploit user-generated contents to promote collaborative consumption among its members. This study aims to evaluate the impact of traffic conditions (through the use of Google Maps API) on key performance indicators of online food delivery services (through the use of web scraping techniques to retrieve customer's ratings and the physical location of restaurants as provided by Facebook). From a collection of 19,934 possible routes between the physical location of 787 online providers and 4296 customers in Bogotá city, we found that traffic conditions exerted no practical effects on transactions volume and delivery time fulfillment, even though early deliveries showed a mild association with the number of comments provided by customers after receiving their orders at home.

Suggested Citation

  • Correa, Juan C. & Garzón, Wilmer & Brooker, Phillip & Sakarkar, Gopal & Carranza, Steven A. & Yunado, Leidy & Rincón, Alejandro, 2019. "Evaluation of collaborative consumption of food delivery services through web mining techniques," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 45-50.
    • Handle: RePEc:eee:joreco:v:46:y:2019:i:c:p:45-50
    DOI: 10.1016/j.jretconser.2018.05.002
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    2. Samira Iran & Martin Müller, 2020. "Social Innovations for Sustainable Consumption and Their Perceived Sustainability Effects in Tehran," Sustainability, MDPI, vol. 12(18), pages 1-25, September.
    3. Shankar, Amit & Dhir, Amandeep & Talwar, Shalini & Islam, Nazrul & Sharma, Piyush, 2022. "Balancing food waste and sustainability goals in online food delivery: Towards a comprehensive conceptual framework," Technovation, Elsevier, vol. 117(C).
    4. Nicoleta Dospinescu & Octavian Dospinescu & Maria Tatarusanu, 2020. "Analysis of the Influence Factors on the Reputation of Food-Delivery Companies: Evidence from Romania," Sustainability, MDPI, vol. 12(10), pages 1-13, May.
    5. Ardelet, Caroline & Fleck, Nathalie & Grobert, Julien, 2022. "When a clean scent soothes the soul: Developing a positive attitude toward sharing service space with strangers," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    6. 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).
    7. Miguel Angel de la Llave Montiel & Fernando López, 2020. "Spatial models for online retail churn: Evidence from an online grocery delivery service in Madrid," Papers in Regional Science, Wiley Blackwell, vol. 99(6), pages 1643-1665, December.
    8. Xu, Xianying & Huang, Yinghua, 2019. "Restaurant information cues, Diners’ expectations, and need for cognition: Experimental studies of online-to-offline mobile food ordering," Journal of Retailing and Consumer Services, Elsevier, vol. 51(C), pages 231-241.
    9. Shah, Adnan Muhammad & Abbasi, Amir Zaib & Yan, Xiangbin, 2023. "Do online peer reviews stimulate diners’ continued log-in behavior: Investigating the role of emotions in the O2O meal delivery apps context," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    10. Małecka, Agnieszka & Mitręga, Maciej & Mróz-Gorgoń, Barbara & Pfajfar, Gregor, 2022. "Adoption of collaborative consumption as sustainable social innovation: Sociability and novelty seeking perspective," Journal of Business Research, Elsevier, vol. 144(C), pages 163-179.
    11. 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).
    12. Pushpinder Gill & Stephen K. Kim, 2021. "From franchisee experience to customer experience: their effects on franchisee performance," Journal of the Academy of Marketing Science, Springer, vol. 49(6), pages 1175-1200, November.
    13. Abbes, Intissar & Hallem, Yousra & Taga, Nadia, 2020. "Second-hand shopping and brand loyalty: The role of online collaborative redistribution platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).

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