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This study aims to unify scattered research on sharing economy platforms by analyzing various aspects of platform governance and management.

August 8, 2026DataOpen Access

Mapping Data-Driven Governance in Sharing Economy Platforms: Algorithmic Management, Platform Control, and Value-Creation Mechanisms

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Bibliometric review identifies key themes in algorithmic management and platform governance in the sharing economy.

This study aims to unify scattered research on sharing economy platforms by analyzing various aspects of platform governance and management.
Conducted a bibliometric and systematic review of 660 documents from Scopus and Web of Science from 2010 to 2026.
Utilized a PRISMA-based protocol for corpus construction and coding.
Applied performance indicators and various analysis tools, including Bibliometrix and VOSviewer.
Field growth accelerated significantly post-2020, with major clusters around algorithmic labour and platform control.
Identified repeated themes such as algorithmic management, trust systems, and dynamic pricing in governance processes.
Developed an integrative framework linking data inputs, algorithmic mechanisms, governance functions, and value outcomes.

López et al. (2026) studied this question.

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