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Title: | Dynamic pricing in the presence of strategic consumers with ‘experience-in-store-and-buy-online’ |
Authors: | Erbao, C Luo, H Ma, Y Lü, K |
Keywords: | OR in marketing;dynamic pricing;strategic consumers;resolving uncertainty;intertemporal showrooming |
Issue Date: | 2-Nov-2022 |
Publisher: | Routledge (Taylor & Francis Group) |
Citation: | Erbao, C. et al. (2022) 'Dynamic pricing in the presence of strategic consumers with ‘experience-in-store-and-buy-online’', International Journal of Production Research, 61 (20), pp. 6873 - 6890. doi: 10.1080/00207543.2022.2138615. |
Abstract: | Experience-in-store-and-buy-online (ESBO) is a popular omni-channel strategy. This paper studies the effects of inspection service provision on the interactions of a dynamic-pricing retailer and strategic consumers, i.e., the effects of the ESBO initiative on store operations. Selling a seasonal product over two periods, the omni-channel retailer may allow consumers to inspect this product offline only in the first period (first-period inspection) or in both periods (two-period inspection). First, we find that allowing first-period inspection makes the retailer better off. The retailer will price the product higher in the first period but probably lower in the second period. Even so, more consumers will purchase in the first period: that is, allowing first-period inspection can somewhat deter strategic deferral. Meanwhile, the seemingly negative intertemporal showrooming behavior (i.e., inspect the product offline in the first period but defer online purchase to the second period) benefits the retailer. Compared to first-period inspection, allowing two-period inspection increases the retailer’s prices in both periods as well as profit, provided that inspection is definitely available in the second period. On the other hand, when inspection is possible in the second period, it may be profitable to allow inspection only in the first period. |
Description: | Data availability statement: Data sharing is not applicable to this article as no new data were created or analysed in this study. Supplemental material is available online at: https://www.tandfonline.com/doi/full/10.1080/00207543.2022.2138615# . |
URI: | https://bura.brunel.ac.uk/handle/2438/25361 |
DOI: | https://doi.org/10.1080/00207543.2022.2138615 |
ISSN: | 0020-7543 |
Other Identifiers: | ORCiD: Kevin Lü https://orcid.org/0000-0002-2588-9059 |
Appears in Collections: | Brunel Business School Research Papers |
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FullText.pdf | Copyright © 2022 Informa UK Limited, trading as Taylor & Francis Group. This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on [date of publication], available at: https://www.tandfonline.com/10.1080/00207543.2022.2138615 (see: https://authorservices.taylorandfrancis.com/research-impact/sharing-versions-of-journal-articles/ ). It is archived on this institutional repository under a Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/). | 1.4 MB | Adobe PDF | View/Open |
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