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Forays into omnichannel: An online retailer’s strategies for managing product returns

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  • Mandal, Prasenjit
  • Basu, Preetam
  • Saha, Kushal

Abstract

E-commerce has witnessed a steady growth with advances in digital technologies. However, one of the challenges faced by online retail is its inability to provide customers with the opportunity to “touch-and-feel” a product before purchasing, thereby resulting in a higher rate of product returns. To address this, online retailers, nowadays, are adopting various omnichannel configurations. Using a stylized model, we study three such omnichannel configurations: selling the product online, establishing a showroom while selling the product online (‘Experience-in-Store-and-Buy-Online (ESBO)’), and selling the product through both a brick-and-mortar (B&M) store and the online channel while allowing in-store product returns (‘Buy-Online-and-Return-In-Store (BORS)’). Based on product attributes such as product standardization and valuation we recommend optimal omnichannel strategies. Our results show that depending on whether a premium product is highly personalized or standardized, opening an additional showroom or a B&M store becomes optimal for the retailer. In contrast, for a low-valued, highly personalized product, the retailer prefers opening an exclusive showroom. Otherwise, for a low-valued, standardized product, the retailer opens an additional B&M store or continues to operate only online based on the product return rate and valuation. If the unit cost of transporting the returned products from customers is low, the retailer prefers to sell the product online only. Moreover, if the hassle cost of online purchase is too high, the strategy of in-store return becomes uneconomic. We also analyze the impact of customers’ exchanging returned items at the B&M store and their product fitness heterogeneity on the retailer’s optimal omnichannel strategy.

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  • Mandal, Prasenjit & Basu, Preetam & Saha, Kushal, 2021. "Forays into omnichannel: An online retailer’s strategies for managing product returns," European Journal of Operational Research, Elsevier, vol. 292(2), pages 633-651.
  • Handle: RePEc:eee:ejores:v:292:y:2021:i:2:p:633-651
    DOI: 10.1016/j.ejor.2020.10.042
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    4. Lin, Jiaxin & Choi, Tsan-Ming & Kuo, Yong-Hong, 2023. "Will providing return-freight-insurances do more good than harm to dual-channel e-commerce retailers?," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1225-1239.
    5. Jena, Sarat Kumar & Meena, Purushottam, 2022. "Shopping in the omnichannel supply chain under price competition and product return," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    6. Liu, Jiqiong & Yuan, Rui & Feng, Shuai, 2023. "Whether to offer return-freight insurance or open a physical showroom: A strategic analysis of an online retailer’s decisions," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    7. Shen, Yinhai & Zhang, Qing & Zhang, Zhichao & Ma, Xinyu, 2022. "Omnichannel retailing return operations with consumer disappointment aversion," Operations Research Perspectives, Elsevier, vol. 9(C).
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    10. Yang, Lu & Li, Xiangyong & Xia, Ye & Aneja, Y.P., 2023. "Returns operations in omnichannel retailing with buy-online-and-return-to-store," Omega, Elsevier, vol. 119(C).
    11. Wang, Ronghui & Nan, Guofang & Kou, Gang & Li, Minqiang, 2023. "Separation or integration: The game between retailers with online and offline channels," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1348-1359.
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    13. Marisol Valencia Cárdenas & Mayerlin Roldán Sepúlveda & Diego Alejandro López Cadavid & Jorge Anibal Restrepo Morales & Juan Gabriel Vanegas López, 2022. "Omnicanalidad como estrategia competitiva: una revisión conceptual y dimensional," Estudios Gerenciales, Universidad Icesi, vol. 38(164), pages 370-384, September.
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    21. Duong, Quang Huy & Zhou, Li & Meng, Meng & Nguyen, Truong Van & Ieromonachou, Petros & Nguyen, Duy Tiep, 2022. "Understanding product returns: A systematic literature review using machine learning and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 243(C).

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