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• W3080918330 abstract "Retail sector around the world is going through a transition due to digitalization. Customers now demand convenience of online channel with instant fulfillment of offline channel. As a result, the concept of omnichannel retailing has come into existence. In omnichannel retailing, both the channels of a firm are fully or partially integrated. There are many strategies that may be developed by retailers for efficient functioning of the omnichannel retail chain. The choice of such a strategy depends upon the comparative benefits that can be derived from them. One such strategy gaining immense attention of retailers is the Buy Online Pickup in Store (BOPS) strategy. In order to understand this BOPS, we conducted a detail case study of an Indian multichannel retail chain who is considering the option of launching BOPS option in few of its retail stores. The focus is to evaluate and select a fixed number of operational retail stores to also act as pick-up points for online deliveries. <italic xmlns:mml=http://www.w3.org/1998/Math/MathML xmlns:xlink=http://www.w3.org/1999/xlink>K</i> -means clustering is utilized for the formation of retail zones as per the number of retail stores to be selected. The retail stores in each zone are evaluated on the basis of a number of criteria such as demand, inventory carrying capacity, cost, and population characteristics using analytical hierarchy process and complex proportional assessment-grey. Based on these evaluations, the best suitable retail store is selected for expansion from each zone. The result implications drawn in the study can provide an understanding of the future strategies that can be developed by the decision makers of the firm for launching the BOPS option. This article can also be beneficial to other Indian retail firms who can derive meaningful insights from the findings." @default.
• W3080918330 created "2020-09-01" @default.
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• W3080918330 date "2022-12-01" @default.
• W3080918330 modified "2023-10-12" @default.
• W3080918330 title "Facility Selection Model for BOPS Service for an Omnichannel Retail Chain" @default.
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• W3080918330 doi "https://doi.org/10.1109/tem.2020.3018912" @default.
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