IDEAS home Printed from https://ideas.repec.org/a/eee/retrec/v103y2024ics0739885923001439.html
   My bibliography  Save this article

Gender and generational differences in omnichannel shopping travel decisions: What drives consumer choices to pick up in-store or ship direct?

Author

Listed:
  • Joshi, Aparna
  • Pani, Agnivesh
  • Sahu, Prasanta K.
  • Majumdar, Bandhan Bandhu
  • Tavasszy, Lóránt

Abstract

Omnichannel distribution is a retail innovation that provides a seamless purchasing experience to customers through cohesive experience across channels, cross-channel integration, and integrated assistance. Blurring the lines between offline and online shopping, concepts like “Buy-Online-Pickup-In-Store” (BOPIS) and “Buy-In-Store-Ship-Direct” (BSSD) are increasingly becoming accepted in retail operations. While many retailers are still in a nascent phase of integrating online channels and physical stores, consumer-centric studies are called for to investigate the diffusion of these new strategies in the evolving marketplace. Our study explores the key adoption determinants of these new omnichannel strategies, focusing on the case of India. A detailed online survey was used to collect data for a sample of 311 Indian consumers. Econometric analysis reveals the main purchase influencing factors. We find that a quick purchase process, elimination of product delivery delays, delivery and shipping costs, ease of receiving product, retail system reliability and, trust in retailer are key adoption determinants. Purchase returnability is only weakly associated with BOPIS purchase choices while payment security has no significant effect. Among six demographic variables, only gender and age are found to differ significantly between the two concepts. These insights from this study should be useful for retailers to design omnichannel strategies and for transport policy makers to predict the future growth of e-commerce related transport movements.

Suggested Citation

  • Joshi, Aparna & Pani, Agnivesh & Sahu, Prasanta K. & Majumdar, Bandhan Bandhu & Tavasszy, Lóránt, 2024. "Gender and generational differences in omnichannel shopping travel decisions: What drives consumer choices to pick up in-store or ship direct?," Research in Transportation Economics, Elsevier, vol. 103(C).
  • Handle: RePEc:eee:retrec:v:103:y:2024:i:c:s0739885923001439
    DOI: 10.1016/j.retrec.2023.101403
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0739885923001439
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.retrec.2023.101403?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.

    More about this item

    Keywords

    Omnichannel; Consumer behavior; Intention to use; Socio-demographic characteristics; Ordered logit regression; Non-parametric tests;
    All these keywords.

    JEL classification:

    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

    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:eee:retrec:v:103:y:2024:i:c:s0739885923001439. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: http://www.elsevier.com/wps/find/journaldescription.cws_home/620614/description#description .

    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.