Establishing a two-way transaction pricing model of “platform-individual” co-creation data property rights

Liao, Junfeng; Li, Rundong

doi:10.1016/j.jik.2023.100427

Cited by 1 publication

(1 citation statement)

References 47 publications

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“…Yu et al 13 proposed a data pricing model that takes into account data quality and versioning strategies, enabling data quality assessment and market segmentation. Liao et al 14 quantified user privacy choices and constructed a multi-scenario data property bilateral trading model. Chellappa et al 15 conducted a detailed analysis of version control strategies for data products and derived the optimal version of data products along with corresponding prices.…”

Section: Literature Reviewmentioning

confidence: 99%

A road data assets revenue allocation model based on a modified Shapley value approach considering contribution evaluation

Li,

Chu,

Wang

et al. 2024

Sci Rep

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This paper constructs a two-layer road data asset revenue allocation model based on a modified Shapley value approach. The first layer allocates revenue to three roles in the data value realization process: the original data collectors, the data processors, and the data product producers. It fully considers and appropriately adjusts the revenue allocation to each role based on data risk factors. The second layer determines the correction factors for different roles to distribute revenue among the participants within those roles. Finally, the revenue values of the participants within each role are synthesized to obtain a consolidated revenue distribution for each participant. Compared to the traditional Shapley value method, this model establishes a revenue allocation evaluation index system, uses entropy weighting and rough set theory to determine the weights, and adopts a fuzzy comprehensive evaluation and numerical analysis to assess the degree of contribution of participants. It fully accounts for differences in both the qualitative and quantitative contributions of participants, enabling a fairer and more reasonable distribution of revenues. This study provides new perspectives and methodologies for the benefit distribution mechanism in road data assets, which aid in promoting the market-based use of road data assets, and it serves as an important reference for the application of data assetization in the road transportation industry.

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Section: Literature Reviewmentioning

confidence: 99%