Navigating the Legal Labyrinth: The Future of Data-Driven Platform Labor in China

Pengfei Li () and Miao Wang ()
Additional contact information
Pengfei Li: Northwest Agriculture & Forestry University
Miao Wang: Graduate School of Law in Sungkyunkwan University

Journal of the Knowledge Economy, 2025, vol. 16, issue 2, No 37, 7016-7038

Abstract: Abstract Utilizing data-driven approaches to manage platform labor is a prime example of how big data is applied in modern labor practices. While touting advantages such as improved productivity and decreased human prejudice, it also brings a set of difficulties, including hazards to data security, worries about privacy, and the possibility of prejudices or discrimination. To tackle these difficulties, it is essential to enact laws specifically related to digital matters. This requires a careful and sophisticated approach that takes into account the intricate relationship between technical advancements and legal systems. This study employs a literature analysis approach based on theoretical jurisprudence to examine the management of data-driven platform labor in China’s context. Through careful examination of legislative responses and emphasis on evolving legal difficulties, it illuminates the complex processes in operation. Furthermore, it presents ideas from digital jurisprudence, including digital justice and algorithmic governance, which position data governance as a subject that encompasses multiple disciplines and necessitates interdisciplinary cooperation. Moreover, the study offers practical suggestions for improving digital legislative frameworks, with the goal of protecting individual rights and ensuring fairness in platform labor practices. This study explores the interdependent connection between technical progress, legal structures, and safeguarding individual rights in the digital era by adhering to the principles of the information economy.

Keywords: Data-driven management; Platform labor; Big data; Legislation; Digital jurisprudence; Interdisciplinary cooperation (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13132-024-02099-1 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jknowl:v:16:y:2025:i:2:d:10.1007_s13132-024-02099-1

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/13132

DOI: 10.1007/s13132-024-02099-1

Access Statistics for this article

Journal of the Knowledge Economy is currently edited by Elias G. Carayannis

More articles in Journal of the Knowledge Economy from Springer, Portland International Center for Management of Engineering and Technology (PICMET)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().