Algorithmic management and work on digital labor platforms: effects of recommendation algorithms

Monique Arruda

doi:10.1007/978-981-99-8346-9_37

Algorithmic management and work on digital labor platforms: effects of recommendation algorithms

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The Fourth Industrial Revolution has profoundly transformed the world we live in, bringing with it significant social changes and a new paradigm for labor relations. The technological development has provided the rise of businesses based on digital platforms, which have become an important source of employment and work for many individuals. Based on new technological concepts applied to online businesses, namely the addition of artificial intelligence and algorithms to the business (extremely strategic and powerful tools in the context of capitalization), digital platforms have connected supply and demand for products and services, thus providing flexible work opportunities, as well as a sense of inclusion, through the way it absorbs “labor” without discrimination. On the other hand, it raises a series of problems from the outset, such as: competition, fiscal, tax and, mainly, labor issues. Given their continuous evolution and improvement, these technologies are developed every day, with the aim of optimizing to the maximum the informational substrates in terms of data that they have for decision-making, the latter increasingly strategic and correct. In this context, the recommendation algorithm emerges as a mechanism for perceiving the immediate application of the business, as a reaction to behaviors arising from the platform/users interaction that, at the same time, “checks” the system, adapts it to the preferences of the users, and applies small actions to generate reactions in those same users. This article aims to analyze the effects of the recommendation algorithms of digital labor platforms on their “service providers”, highlighting both positive and negative aspects of this mechanism. Some of the actions in favor of the beneficial use of artificial intelligence will also be addressed, in order to overcome some of the harmful effects shown during the practical applications of recommendation algorithms in the work of gig workers.

Original language	English
Title of host publication	Proceedings of World Conference on Information Systems for Business Management - ISBM 2023
Editors	Andres Iglesias, Jungpil Shin, Bharat Patel, Amit Joshi
Publisher	Springer Nature
Pages	443-457
Number of pages	15
ISBN (Electronic)	9789819986125
ISBN (Print)	9789819986118, 9789819986149
DOIs	https://doi.org/10.1007/978-981-99-8346-9_37
Publication status	Published - Apr 2024
Event	World Conference on Information Systems for Business Management - Bangkok, Thailand Duration: 7 Sept 2023 → 8 Sept 2023 https://isbm.ict4sd.org/#

Publication series

Name	Lecture Notes in Networks and Systems
Volume	833
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	World Conference on Information Systems for Business Management
Country/Territory	Thailand
City	Bangkok
Period	7/09/23 → 8/09/23
Internet address	https://isbm.ict4sd.org/#

Keywords

Digital platform
Platform work
Recommendation algorithm

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-981-99-8346-9_37

Cite this

Arruda, M. (2024). Algorithmic management and work on digital labor platforms: effects of recommendation algorithms. In A. Iglesias, J. Shin, B. Patel, & A. Joshi (Eds.), Proceedings of World Conference on Information Systems for Business Management - ISBM 2023 (pp. 443-457). (Lecture Notes in Networks and Systems; Vol. 833). Springer Nature. https://doi.org/10.1007/978-981-99-8346-9_37

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title = "Algorithmic management and work on digital labor platforms: effects of recommendation algorithms",

abstract = "The Fourth Industrial Revolution has profoundly transformed the world we live in, bringing with it significant social changes and a new paradigm for labor relations. The technological development has provided the rise of businesses based on digital platforms, which have become an important source of employment and work for many individuals. Based on new technological concepts applied to online businesses, namely the addition of artificial intelligence and algorithms to the business (extremely strategic and powerful tools in the context of capitalization), digital platforms have connected supply and demand for products and services, thus providing flexible work opportunities, as well as a sense of inclusion, through the way it absorbs “labor” without discrimination. On the other hand, it raises a series of problems from the outset, such as: competition, fiscal, tax and, mainly, labor issues. Given their continuous evolution and improvement, these technologies are developed every day, with the aim of optimizing to the maximum the informational substrates in terms of data that they have for decision-making, the latter increasingly strategic and correct. In this context, the recommendation algorithm emerges as a mechanism for perceiving the immediate application of the business, as a reaction to behaviors arising from the platform/users interaction that, at the same time, “checks” the system, adapts it to the preferences of the users, and applies small actions to generate reactions in those same users. This article aims to analyze the effects of the recommendation algorithms of digital labor platforms on their “service providers”, highlighting both positive and negative aspects of this mechanism. Some of the actions in favor of the beneficial use of artificial intelligence will also be addressed, in order to overcome some of the harmful effects shown during the practical applications of recommendation algorithms in the work of gig workers.",

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Arruda, M 2024, Algorithmic management and work on digital labor platforms: effects of recommendation algorithms. in A Iglesias, J Shin, B Patel & A Joshi (eds), Proceedings of World Conference on Information Systems for Business Management - ISBM 2023. Lecture Notes in Networks and Systems, vol. 833, Springer Nature, pp. 443-457, World Conference on Information Systems for Business Management, Bangkok, Thailand, 7/09/23. https://doi.org/10.1007/978-981-99-8346-9_37

Algorithmic management and work on digital labor platforms: effects of recommendation algorithms. / Arruda, Monique.
Proceedings of World Conference on Information Systems for Business Management - ISBM 2023. ed. / Andres Iglesias; Jungpil Shin; Bharat Patel; Amit Joshi. Springer Nature, 2024. p. 443-457 (Lecture Notes in Networks and Systems; Vol. 833).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Algorithmic management and work on digital labor platforms

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AU - Arruda, Monique

N1 - Publisher Copyright: © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

PY - 2024/4

Y1 - 2024/4

N2 - The Fourth Industrial Revolution has profoundly transformed the world we live in, bringing with it significant social changes and a new paradigm for labor relations. The technological development has provided the rise of businesses based on digital platforms, which have become an important source of employment and work for many individuals. Based on new technological concepts applied to online businesses, namely the addition of artificial intelligence and algorithms to the business (extremely strategic and powerful tools in the context of capitalization), digital platforms have connected supply and demand for products and services, thus providing flexible work opportunities, as well as a sense of inclusion, through the way it absorbs “labor” without discrimination. On the other hand, it raises a series of problems from the outset, such as: competition, fiscal, tax and, mainly, labor issues. Given their continuous evolution and improvement, these technologies are developed every day, with the aim of optimizing to the maximum the informational substrates in terms of data that they have for decision-making, the latter increasingly strategic and correct. In this context, the recommendation algorithm emerges as a mechanism for perceiving the immediate application of the business, as a reaction to behaviors arising from the platform/users interaction that, at the same time, “checks” the system, adapts it to the preferences of the users, and applies small actions to generate reactions in those same users. This article aims to analyze the effects of the recommendation algorithms of digital labor platforms on their “service providers”, highlighting both positive and negative aspects of this mechanism. Some of the actions in favor of the beneficial use of artificial intelligence will also be addressed, in order to overcome some of the harmful effects shown during the practical applications of recommendation algorithms in the work of gig workers.

AB - The Fourth Industrial Revolution has profoundly transformed the world we live in, bringing with it significant social changes and a new paradigm for labor relations. The technological development has provided the rise of businesses based on digital platforms, which have become an important source of employment and work for many individuals. Based on new technological concepts applied to online businesses, namely the addition of artificial intelligence and algorithms to the business (extremely strategic and powerful tools in the context of capitalization), digital platforms have connected supply and demand for products and services, thus providing flexible work opportunities, as well as a sense of inclusion, through the way it absorbs “labor” without discrimination. On the other hand, it raises a series of problems from the outset, such as: competition, fiscal, tax and, mainly, labor issues. Given their continuous evolution and improvement, these technologies are developed every day, with the aim of optimizing to the maximum the informational substrates in terms of data that they have for decision-making, the latter increasingly strategic and correct. In this context, the recommendation algorithm emerges as a mechanism for perceiving the immediate application of the business, as a reaction to behaviors arising from the platform/users interaction that, at the same time, “checks” the system, adapts it to the preferences of the users, and applies small actions to generate reactions in those same users. This article aims to analyze the effects of the recommendation algorithms of digital labor platforms on their “service providers”, highlighting both positive and negative aspects of this mechanism. Some of the actions in favor of the beneficial use of artificial intelligence will also be addressed, in order to overcome some of the harmful effects shown during the practical applications of recommendation algorithms in the work of gig workers.

KW - Digital platform

KW - Platform work

KW - Recommendation algorithm

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Algorithmic management and work on digital labor platforms: effects of recommendation algorithms

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

1st International Conference on Computation of Artificial Intelligence & Machine Learning (ICCAIML’24)

CEID-CRCFL: Católica Research Centre for the Future of Law

Cite this

Algorithmic management and work on digital labor platforms: effects of recommendation algorithms

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Activities

1st International Conference on Computation of Artificial Intelligence & Machine Learning (ICCAIML’24)

Projects

CEID-CRCFL: Católica Research Centre for the Future of Law

Cite this