Designing a fair and inclusive digital asset-based name-image-likeness marketplace

Regulatory changes have enabled American student-athletes to profit from their name, image, and likeness (NIL). However, only a fraction of the student-athlete population is actually profiting from their NIL, which raises questions concerning fairness and inclusiveness. Motivated by that scenario, we look at technological solutions capable of sharing a limited amount of financial resources fairly and inclusively. Following a design science methodology, we define design requirements for such technological solutions after interviewing student-athletes, which leads us to establish the inclusive-meritocratic fairness criterion. Subsequently, we determine design principles that artifacts aiming at helping student-athletes should satisfy. We find that a solution that satisfies the proposed design principles is to associate student-athletes with digital collectibles represented as non-fungible tokens (NFTs). The core idea behind our artifact is that student-athletes receive royalties in primary markets after NFTs are randomly minted, plus deterministic royalties in secondary markets whenever a transaction involving their collectibles happens. Interviews with student-athletes validate our design. We conclude the paper by discussing how our ideas give rise to a new NIL design theory. • A framework for fair and inclusive name-image-likeness compensation is proposed. • Relevant design requirements, principles, and features are defined. • An NFT-based solution satisfies all design requirements and principles. • The NFT-based solution is validated with US athletes. • A new design theory for fair NIL systems in creator economies is proposed.

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Publication Details

Journal
Decision Support Systems
Published
2025-12-03
DOI
https://doi.org/10.1016/j.dss.2025.114580
Primary Topic
Digital Games and Media
Type
article
Field-Weighted Citation Impact
0.00
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article

Designing a fair and inclusive digital asset-based name-image-likeness marketplace

Arthur Carvalho, Liudmila Zavolokina, Suman Bhunia, Gerhard Schwabe
Decision Support Systems
Digital Games and Media
article

Designing a fair and inclusive digital asset-based name-image-likeness marketplace

Arthur Carvalho, Liudmila Zavolokina, Suman Bhunia, Gerhard Schwabe
article en

Abstract

Regulatory changes have enabled American student-athletes to profit from their name, image, and likeness (NIL). However, only a fraction of the student-athlete population is actually profiting from their NIL, which raises questions concerning fairness and inclusiveness. Motivated by that scenario, we look at technological solutions capable of sharing a limited amount of financial resources fairly and inclusively. Following a design science methodology, we define design requirements for such technological solutions after interviewing student-athletes, which leads us to establish the inclusive-meritocratic fairness criterion. Subsequently, we determine design principles that artifacts aiming at helping student-athletes should satisfy. We find that a solution that satisfies the proposed design principles is to associate student-athletes with digital collectibles represented as non-fungible tokens (NFTs). The core idea behind our artifact is that student-athletes receive royalties in primary markets after NFTs are randomly minted, plus deterministic royalties in secondary markets whenever a transaction involving their collectibles happens. Interviews with student-athletes validate our design. We conclude the paper by discussing how our ideas give rise to a new NIL design theory. • A framework for fair and inclusive name-image-likeness compensation is proposed. • Relevant design requirements, principles, and features are defined. • An NFT-based solution satisfies all design requirements and principles. • The NFT-based solution is validated with US athletes. • A new design theory for fair NIL systems in creator economies is proposed.

Decision Support SystemsVol. 201
University of Zurich (CH), Miami University (US), University of Lausanne (CH)
Openalex Percentile: Top 53%
Digital Games and Media
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Designing a fair and inclusive digital asset-based name-image-likeness marketplace — Arthur Carvalho, Liudmila Zavolokina, et al. · Decision Support Systems (2025) | TGRS Research Map | TGRS