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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Veröffentlicht in:Heliyon Jg. 9; H. 9; S. e20274
Hauptverfasser: Hao, Jun, Deng, Zeyu, Li, Jianping
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Ltd 01.09.2023
Elsevier
Schlagworte:
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
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Abstract 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.
AbstractList 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.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.
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.
ArticleNumber e20274
Author Deng, Zeyu
Li, Jianping
Hao, Jun
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  givenname: Jun
  surname: Hao
  fullname: Hao, Jun
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  givenname: Zeyu
  surname: Deng
  fullname: Deng, Zeyu
  organization: School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China
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  givenname: Jianping
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  surname: Li
  fullname: Li, Jianping
  email: ljp@ucas.ac.cn
  organization: School of Economics and Management, University of Chinese Academy of Sciences, Beijing, China
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crossref_primary_10_3390_math13061002
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Keywords Future work
Data market
Data pricing
Pricing approach
Bibliometric analysis
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Snippet Data pricing, which aids in articulating the worth and advantages of data and encourages its opening, sharing, and circulation, is an indispensable component...
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SubjectTerms algorithms
artificial intelligence
Bibliometric analysis
data analysis
Data market
Data pricing
Future work
prices
Pricing approach
researchers
Review
trade
Title The evolution of data pricing: From economics to computational intelligence
URI https://dx.doi.org/10.1016/j.heliyon.2023.e20274
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