The evolution of data pricing: From economics to computational intelligence

Data pricing, which aids in articulating the worth and advantages of data and encourages its opening, sharing, and circulation, is an indispensable component of data trading. Studies pertinent to the topic of data pricing are continuously developing. To undertake a thorough analysis of the literatur...

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Bibliographic Details
Published in:Heliyon Vol. 9; no. 9; p. e20274
Main Authors: Hao, Jun, Deng, Zeyu, Li, Jianping
Format: Journal Article
Language:English
Published: Elsevier Ltd 01.09.2023
Elsevier
Subjects:
algorithms
artificial intelligence
Bibliometric analysis
data analysis
Data market
Data pricing
Future work
prices
Pricing approach
researchers
Review
trade
Future work
Data market
Data pricing
Pricing approach
Bibliometric analysis
ISSN:2405-8440, 2405-8440
Online Access:Get full text
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Summary:Data pricing, which aids in articulating the worth and advantages of data and encourages its opening, sharing, and circulation, is an indispensable component of data trading. Studies pertinent to the topic of data pricing are continuously developing. To undertake a thorough analysis of the literature in data pricing, we use bibliometric and statistical methods for the first time. The 373 data pricing publications from 1990 to 2023 are the study's research object. We mainly analyze the external characteristics, keyword co-occurrence and co-citation networks of data pricing. We find that data pricing has been progressing fairly quickly during the last decade. Two basic approaches have been used by researchers to study how to price various data objects: one is based on economics theory, and the other on computer science algorithms. We provide an in-depth study of the overall evolution of data pricing and give the future directions of data pricing.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
ObjectType-Review-3
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ISSN:2405-8440
2405-8440
DOI:10.1016/j.heliyon.2023.e20274