Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{193141,
author = {Mr. Yash Baiju Naik and Mr. Darshan Maheshbhai Patel and Mr. Dhairya Rajesh Joshi},
title = {The Scoping Representation of Anchoring Effects and Behavioral Pricing in Digital and Consumer Markets},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {9},
pages = {3889-3892},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=193141},
abstract = {Anchoring effects and related behavioral pricing mechanisms play a central role in shaping consumer decision-making across digital platforms, negotiations, insurance, hospitality, financial markets, and sustainable consumption contexts. This scoping review synthesizes recent empirical, experimental, conceptual, and analytical studies published between 2024 and 2026 to map current evidence on anchoring, reference pricing, decoy effects, and allied behavioral biases. Following a scoping review methodology, thirteen studies were examined spanning artificial intelligence negotiations, prediction markets, consumer pricing strategies, supply chains, freemium platforms, insurance markets, and hospitality settings. Results reveal consistent anchoring and reference dependence effects on prices, surplus allocation, demand, and perceived value, alongside emerging evidence of anchoring in AI-mediated negotiations and digitally amplified consumer biases. However, the literature remains fragmented, with heavy reliance on theoretical modeling and limited large-scale human behavioral validation. This review identifies key thematic domains, methodological gaps, and practical implications, and proposes directions for future research and policy.},
keywords = {Anchoring effect; behavioral economics; reference pricing; decoy pricing; digital markets; consumer decision-making},
month = {February},
}
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