Journal of Retailing and Consumer Services, Volume (73), Year (2023-7) , Pages (103361-103361)

Title : ( Investigation of the ordering behavior of a retailer in the revenue sharing and buyback contracts considering round number bias )

Authors: Rozhin Sharifi , Hamideh Razavi , Ehsan Elahi ,

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Abstract

This study investigates the ordering behavior of a boundedly rational retailer who purchases a product from a rational supplier under a revenue sharing or buyback contract. We develop a behavioral model considering random error, learning effect and anchoring bias using a logit choice framework which also includes a new behavioral paradigm known as round number bias. Experimental data and theoretical analysis are employed to demonstrate the differences between retailer order quantity and related optimal decisions using the suggested behavioral model. We found that round numbers are enticing anchors in retailer ordering decisions. The findings further reveal that the adaptive learning model better explains and predicts the retailer\\\'s ordering behavior than the time trend learning model. Moreover, the results indicate that the prediction accuracy of the model is higher for revenue sharing compared to buyback contracts.

Keywords

, Bounded rationality, Round number bias, Supply chain contracts
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@article{paperid:1094000,
author = {Sharifi, Rozhin and Razavi, Hamideh and احسان الهی},
title = {Investigation of the ordering behavior of a retailer in the revenue sharing and buyback contracts considering round number bias},
journal = {Journal of Retailing and Consumer Services},
year = {2023},
volume = {73},
month = {July},
issn = {0969-6989},
pages = {103361--103361},
numpages = {0},
keywords = {Bounded rationality; Round number bias; Supply chain contracts},
}

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%0 Journal Article
%T Investigation of the ordering behavior of a retailer in the revenue sharing and buyback contracts considering round number bias
%A Sharifi, Rozhin
%A Razavi, Hamideh
%A احسان الهی
%J Journal of Retailing and Consumer Services
%@ 0969-6989
%D 2023

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