Taming Proteus: Challenges for Risk Regulation of Powerful Digital Labor Platforms

Nilsen, Marie; Kongsvik, Trond; Antonsen, Stian

doi:10.3390/ijerph19106196

Cited by 5 publications

(3 citation statements)

References 74 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…With the regulations underdeveloped, platform companies have experimented with tweaking their algorithmic systems and operational models—at times in controversial manners. Therefore, scholars have called for updating national and international laws to close these regulatory gaps (Nilsen et al 2022 ; Aloisi and De Stefano 2022 ).…”

Section: Methods: Systematic Literature Reviewmentioning

confidence: 99%

Taylorism on steroids or enabling autonomy? A systematic review of algorithmic management

et al. 2023

View full text Add to dashboard Cite

The use of algorithmic management systems is rapidly changing organizational models and practices, as millions of workers in multiple sectors worldwide are managed by computer software. Despite receiving increasing academic interest, little summarizing literature exist on the ways algorithmic systems are used in management. This article aims to fill this gap by systematically reviewing and qualitatively analyzing 172 articles on the topic. Our research contributes to the existent algorithmic management literature in three ways. First, we provide a descriptive overview of algorithmic management as a field of research. Second, we identify and synthesize the discussion on the key concepts of the topic, namely how algorithmic management: (1) simultaneously restrains and enables workers’ autonomy—yet income dependency and other factors force inflexible work practices; (2) creates a complex, digital version of Taylorism; and (3) creates new and changes existing organizational power structures. Third, as our main theoretical contribution, we create the framework of Algorithmic Management Grid that demonstrates the ways in which organizations use algorithmic systems in management. The Algorithmic Management Grid illustrates how, in both novel and traditional organizational models, algorithmic management may be used with emphasis either on controlling or enabling workers. Based on the reviewed literature, we claim that so far, companies have mostly utilized algorithmic systems in a controlling manner, neglecting the technology’s enabling potential in organizing.

show abstract

Section: Methods: Systematic Literature Reviewmentioning

confidence: 99%

Taylorism on steroids or enabling autonomy? A systematic review of algorithmic management

et al. 2023

View full text Add to dashboard Cite

show abstract

“…The platform expands the group of participants as much as possible, maintains openness, and improves innovation efficiency to maximize economic benefits. Given the expansion of the scale of platform enterprises, the risk of platform management and control also increases [36], which may lead to severe legitimacy challenges and even threaten the stability of the platform ecosystem. The pursuit of the goal of maximizing interests by platform enterprises may conflict with public interests and lead to market failure, which increases privacy risks, property rights, and monopoly problems [37] and threatens public interests.…”

Section: B Governance Of Platform Ecosystemmentioning

confidence: 99%

Blockchain Enabling Government to Establish a Timely Supervision Mechanism for the Platform Ecosystem

Chen,

Fu,

Wang

2023

IEEE Access

View full text Add to dashboard Cite

Blockchain technology has been applied to the government's supervision mechanism of the platform ecosystem, considering the inaccurate timing of the Chinese government's supervision of the platform ecosystem. This study establishes a game model to study the government's decision-making behavior, total social welfare, and participants in the platform ecosystem. Research suggests that although government regulation can improve overall social welfare, excessive regulation inhibits the development of platform enterprises. Hence, this study further analyzes the government's regulatory interval facing the platform ecosystem, constructs an application scenario of blockchain that enables timely government regulation, and establishes the regulatory interval as the trigger mechanism of smart contracts in the blockchain. The smart contract can send an alarm, and the government can intervene in the platform ecosystem for supervision if the evaluation result is within the regulatory interval. The government will not intervene in the platform ecosystem for regulation (if the government is inside the platform ecosystem at this time, the government will withdraw; if it is not inside the platform ecosystem, it will remain unchanged) if the assessment result exceeds the regulatory range.

show abstract

“…Accordingly, scholars have investigated them within different fields and from various perspectives. Empirical studies dominate the spectrum (i.e., Galperin and Greppi 2017;Nilsen, Kongsvik and Antonsen 2022;Ren, Raghupathi and Raghupathi 2023), but literature reviews of different kinds have also been frequently used to investigate and synthesise the streams of research on labour platforms (i.e., Fu, Avenyo and Ghauri 2021). Oddly, none of the literature reviews on labour platforms have adopted a bibliometric approach.…”

Section: Introductionmentioning

confidence: 99%

A bibliometric analysis and future research agenda for online labour platforms

Vukmirovic,

Spasenić,

Milosavljević

2023

STNV

View full text Add to dashboard Cite

Online labour platforms (OLPs) are profit-oriented companies utilising technology to connect independent contractor workers with short-term service labour needs, offering a digital marketplace for posting tasks, receiving bids, and finalising agreements across various domains such as writing, design, programming, and digital marketing. This paper presents a bibliometric analysis of the concurrent body of knowledge on OLPs, explaining how the specificities of this emerging form of labour are researched from various academic standpoints. The study is based on a dataset of 358 papers on OLPs published from 2013 to August 2023. The main finding of the study is that scholarly interest in OLPs is steadily growing in the observed period. However, geographical dispersion of the scientific output is not in line with the actual level of utilisation of OLPs, and scholarly interest in OLPs spans across diverse disciplines, including industrial relations and labour, management, economics, sociology, law, and computer science. The results of this paper can help better understand the dynamics of scholarly publishing on OLPs and further leverage underexploited subtopics in this field.

show abstract

Taming Proteus: Challenges for Risk Regulation of Powerful Digital Labor Platforms

Cited by 5 publications

References 74 publications

Taylorism on steroids or enabling autonomy? A systematic review of algorithmic management

Taylorism on steroids or enabling autonomy? A systematic review of algorithmic management

Blockchain Enabling Government to Establish a Timely Supervision Mechanism for the Platform Ecosystem

A bibliometric analysis and future research agenda for online labour platforms

Contact Info

Product

Resources

About