Crowdsourced product returns in C2B e-commerce: A post-pandemic no-contact consumer incentive-based model

Kumar, Chitresh and Ganguly, Anirban (2022) Crowdsourced product returns in C2B e-commerce: A post-pandemic no-contact consumer incentive-based model. Journal of Global Operations and Strategic Sourcing, 16 (2). pp. 311-336. ISSN 2398-5364

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Abstract

This study aims to investigate the conditions for the financial feasibility of an incentive-based model for self-drop or crowdsourced drop of the product to be returned at designated drop boxes (thereby ensuring a contactless process)
Constraint-based non-linear mathematical modeling was done for cost differential with and without crowdsourcing. This was analyzed against returns on investment for the installed infrastructure. Scenarios were looked into from the linear, iso-elastic and logarithmic demand functions to identify the optimal incentive policy. The results were further evaluated using “willingness to return” for customer willingness for product returns via drop boxes

Item Type: Article
Keywords: India | E-commerce | Pricing | Reverse logistics | Crowdsourcing | Product return management | Incentive
Subjects: Social Sciences and humanities > Business, Management and Accounting > General Management
JGU School/Centre: Jindal Global Business School
Depositing User: Amees Mohammad
Date Deposited: 05 Sep 2022 06:33
Last Modified: 18 May 2023 10:33
Official URL: https://doi.org/10.1108/JGOSS-03-2022-0020
URI: https://pure.jgu.edu.in/id/eprint/4352

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