A stochastic model of the economics of Internet search

James Christopher Westland and Jian Mou

Journal of Electronic Business & Digital Economics, 2024, vol. 3, issue 3, 203-221

Abstract: Purpose - Internet search is a $120bn business that answers lists of search terms or keywords with relevant links to Internet webpages. Only a few companies have sufficient scale to compete and thus economics of the process are paramount. This study aims to develop a detailed industry-specific modeling of the economics of internet search. Design/methodology/approach - The current research develops a stochastic model of the process of Internet indexing, search and retrieval in order to predict expected costs and revenues of particular configurations and usages. Findings - The models define behavior and economics of parameters that are not directly observable, where it is difficult to empirically determine the distributions and economics. Originality/value - The model may be used to guide the economics of large search engine operations, including the advertising platforms that depend on them and largely fund them.

Keywords: Behavioral economics; Internet indexing; Internet search; Search query model (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eme:jebdep:jebde-10-2023-0023

DOI: 10.1108/JEBDE-10-2023-0023

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