IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0297593.html

Qbnb: An innovative C2B2C2B2C e-commerce mode for integrated on-demand services

Author

Listed:
  • Yaoyao Wei
  • Cuiyin yao
  • Wei-fan Chen
  • Tian Xie
  • Jinzhao Yang

Abstract

The traditional supply-side-driven e-commerce modes provide consumers with massive amounts of structured information about goods and services. Due to the lack of a tailor-made ability to describe, explain, and accurately understand unstructured service demands, existing technologies and service modes still struggle to fully explore, articulate, and meet the personalized, high-quality, and urgent service demands of the disadvantaged groups in e-commerce. This paper innovatively proposes the concept of "integrated services on demand" and develops its C2B2C2B2C-based "Qbnb" e-commerce mode, operation mechanism and intermediary platform architecture. After conducting exploratory operation training, it demonstrates that the Qbnb mode can effectively achieve centralized allocation of idle social surplus service capacity to cater to the needs of disadvantaged groups in e-commerce. Compared to the traditional e-commerce service mode, Qbnb will significantly expand service demand and capacity, achieve higher service efficiency, and create a broader service consumption market, resulting in many more job opportunities.

Suggested Citation

  • Yaoyao Wei & Cuiyin yao & Wei-fan Chen & Tian Xie & Jinzhao Yang, 2024. "Qbnb: An innovative C2B2C2B2C e-commerce mode for integrated on-demand services," PLOS ONE, Public Library of Science, vol. 19(3), pages 1-29, March.
    • Handle: RePEc:plo:pone00:0297593
    DOI: 10.1371/journal.pone.0297593
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0297593
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0297593&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0297593?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
    ---><---

    References listed on IDEAS

    as
    1. M. Keith Chen & Judith A. Chevalier & Peter E. Rossi & Emily Oehlsen, 2019. "The Value of Flexible Work: Evidence from Uber Drivers," Journal of Political Economy, University of Chicago Press, vol. 127(6), pages 2735-2794.
    2. Will Sutherland & Mohammad Hossein Jarrahi & Michael Dunn & Sarah Beth Nelson, 2020. "Work Precarity and Gig Literacies in Online Freelancing," Work, Employment & Society, British Sociological Association, vol. 34(3), pages 457-475, June.
    3. Xuwen Gao & Xinjie Shi & Hongdong Guo & Yehong Liu, 2020. "To buy or not buy food online: The impact of the COVID-19 epidemic on the adoption of e-commerce in China," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-14, August.
    4. Silva, Ana Teresa & Moro, Sérgio & Rita, Paulo & Cortez, Paulo, 2018. "Unveiling the features of successful eBay smartphone sellers," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 311-324.
    5. Karpinska-Krakowiak, Malgorzata, 2021. "Women are more likely to buy unknown brands than men: The effects of gender and known versus unknown brands on purchase intentions," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    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. Qi Zheng & Jing Zhan & Xinying Xu, 2024. "Platform Training and Learning by Doing and Gig Workers’ Incomes: Empirical Evidence From China’s Food Delivery Riders," SAGE Open, , vol. 14(3), pages 21582440241, September.
    2. World Bank, "undated". "Shifting Gears," World Bank Publications - Reports 36317, The World Bank Group.
    3. Wang, Wei & Miao, Wei & Liu, Yongdong & Deng, Yiting & Cao, Yunfei, 2022. "The impact of COVID-19 on the ride-sharing industry and its recovery: Causal evidence from China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 128-141.
    4. Yanwen Wang & Chunhua Wu & Ting Zhu, 2019. "Mobile Hailing Technology and Taxi Driving Behaviors," Marketing Science, INFORMS, vol. 38(5), pages 734-755, September.
    5. Berger, Thor & Chen, Chinchih & Frey, Carl Benedikt, 2018. "Drivers of disruption? Estimating the Uber effect," European Economic Review, Elsevier, vol. 110(C), pages 197-210.
    6. Sylvain Charlebois & Mark Juhasz & Janet Music, 2021. "Supply Chain Responsiveness to a (Post)-Pandemic Grocery and Food Service E-Commerce Economy: An Exploratory Canadian Case Study," Businesses, MDPI, vol. 1(2), pages 1-19, July.
    7. Cody Cook & Rebecca Diamond & Jonathan V Hall & John A List & Paul Oyer, 2021. "The Gender Earnings Gap in the Gig Economy: Evidence from over a Million Rideshare Drivers [Measuring the Gig Economy: Current Knowledge and Open Issues]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(5), pages 2210-2238.
    8. Mo, Dong & Wang, Hai & Cai, Zeen & Szeto, W.Y. & Chen, Xiqun (Michael), 2024. "Modeling and regulating a ride-sourcing market integrated with vehicle rental services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 192(C).
    9. Shunying Zhao & Qiang Yang & Hohjin Im & Baojuan Ye & Yadi Zeng & Zhinan Chen & Lu Liu & Dawu Huang, 2022. "The impulsive online shopper: effects of COVID-19 burnout, uncertainty, self-control, and online shopping trust," Future Business Journal, Springer, vol. 8(1), pages 1-15, December.
    10. Hai Long Duong & Junhong Chu & Dai Yao, 2023. "Taxi Drivers’ Response to Cancellations and No-Shows: New Evidence for Reference-Dependent Preferences," Management Science, INFORMS, vol. 69(1), pages 179-199, January.
    11. Janine Berg & Francis Green & Laura Nurski & David A Spencer, 2023. "Risks to job quality from digital technologies: Are industrial relations in Europe ready for the challenge?," European Journal of Industrial Relations, , vol. 29(4), pages 347-365, December.
    12. Witold Chmielarz & Marek Zborowski & Xuetao Jin & Mesut Atasever & Justyna Szpakowska, 2022. "On a Comparative Analysis of Individual Customer Purchases on the Internet for Poland, Turkey and the People’s Republic of China at the Time of the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    13. Lam, Chungsang Tom & Liu, Meng & Hui, Xiang, 2021. "The geography of ridesharing: A case study on New York City," Information Economics and Policy, Elsevier, vol. 57(C).
    14. Cantarella, Michele & Strozzi, Chiara, 2022. "Piecework and Job Search in the Platform Economy," IZA Discussion Papers 15775, Institute of Labor Economics (IZA).
    15. Behl, Abhishek & Jayawardena, Nirma & Ishizaka, Alessio & Gupta, Manish & Shankar, Amit, 2022. "Gamification and gigification: A multidimensional theoretical approach," Journal of Business Research, Elsevier, vol. 139(C), pages 1378-1393.
    16. George Z. Gui, 2024. "Combining Observational and Experimental Data to Improve Efficiency Using Imperfect Instruments," Marketing Science, INFORMS, vol. 43(2), pages 378-391, March.
    17. Ghorpade, Yashodhan & Jasmin, Alyssa & Rahman, Amanina Abdur, 2024. "Do Gig Workers Prefer Money to Flexibility? Insights from a Discrete-Choice Experiment in Malaysia," IZA Discussion Papers 17093, Institute of Labor Economics (IZA).
    18. Alisa Tazhitdinova, 2022. "Increasing Hours Worked: Moonlighting Responses to a Large Tax Reform," American Economic Journal: Economic Policy, American Economic Association, vol. 14(1), pages 473-500, February.
    19. Cecilia POGGI & Ariela MICHA & Francisca PEREYRA, 2022. "Gender inequalities in the platform economy: The cases of delivery and private passenger transport services in the Buenos Aires Metropolitan Area," Working Paper 438e22d3-239e-468a-b317-b, Agence française de développement.
    20. Verstraete, Gylian & Aghezzaf, El-Houssaine & Desmet, Bram, 2019. "A data-driven framework for predicting weather impact on high-volume low-margin retail products," Journal of Retailing and Consumer Services, Elsevier, vol. 48(C), pages 169-177.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0297593. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.