The Dynamic Relationships between Algorithmic Management and Workers' Occupational Well-being: A Job Demands-Resources Perspective

Isabell Lippert; Kathrin Kirchner; Carol Saunders

The Dynamic Relationships between Algorithmic Management and Workers' Occupational Well-being: A Job Demands-Resources Perspective

Isabell Lippert
, Kathrin Kirchner
, Carol Saunders

University of Central Florida
Technische Universität Dresden

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

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Abstract

Algorithmic management (AM) as key enabler for managing the workforce in food delivery services has recently raised growing concerns about workers’ occupational well-being (OWB). Existing studies mainly emphasize negative impacts of AM on workers’ OWB, e.g., stress due to constant tracking. Contrastingly, a few studies show positive aspects of AM, e.g., receiving personalized real-time feedback. Getting to the root of these opposing findings, we use the job demands-resources (JD-R) model as theoretical lens to structurally analyze AM-specific job demands (AM-JD) and AM-specific job resources (AM-JR). Based on semi-structured interviews with 21 food delivery riders in Germany, this study paints a nuanced picture of AM, e.g., by identifying AM-JRs, that help to mitigate AM-JDs. We further find that job crafting, i.e., proactively changing work-related boundaries, increases AM-JRs and workers’ OWB. Drawing on our results, we present the integrated DYNAMO Model, which shows the dynamic relationships between AM, OWB, and job crafting.

Original language	English
Title of host publication	Proceedings of the ECIS 2023 Research Papers
Number of pages	16
Publication date	2023
Article number	286
Publication status	Published - 2023
Event	The European Conference on Information Systems (ECIS) - Kristiansand, Norway Duration: 11 Jun 2023 → 16 Jun 2023

Conference

Conference	The European Conference on Information Systems (ECIS)
Country/Territory	Norway
City	Kristiansand
Period	11/06/2023 → 16/06/2023

Keywords

Algorithmic Management
Job Demands
Job Resources
Occupational Well-being

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https://aisel.aisnet.org/ecis2023_rp/286

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PerMa: Perceived managerial support of algorithmic management: Mitigating harmful effects on the well-being of platform workers
Kirchner, K. (PI) & Wiener, M. (CoPI)
Technische Universität Dresden
01/04/2022 → 31/03/2023
Project: Research

The European Conference on Information Systems (ECIS)
Kirchner, K. (Participant)
13 Jun 2023 → 16 Jun 2023
Activity: Attending an event › Participating in or organising a conference

Distinguished Research Fellowship
Kirchner, K. (Recipient), 15 Mar 2022
Prize: Prizes, scholarships, distinctions

Cite this

@inproceedings{d86654946627429c8d2ec516c8e5bac9,

title = "The Dynamic Relationships between Algorithmic Management and Workers' Occupational Well-being: A Job Demands-Resources Perspective",

abstract = "Algorithmic management (AM) as key enabler for managing the workforce in food delivery services has recently raised growing concerns about workers{\textquoteright} occupational well-being (OWB). Existing studies mainly emphasize negative impacts of AM on workers{\textquoteright} OWB, e.g., stress due to constant tracking. Contrastingly, a few studies show positive aspects of AM, e.g., receiving personalized real-time feedback. Getting to the root of these opposing findings, we use the job demands-resources (JD-R) model as theoretical lens to structurally analyze AM-specific job demands (AM-JD) and AM-specific job resources (AM-JR). Based on semi-structured interviews with 21 food delivery riders in Germany, this study paints a nuanced picture of AM, e.g., by identifying AM-JRs, that help to mitigate AM-JDs. We further find that job crafting, i.e., proactively changing work-related boundaries, increases AM-JRs and workers{\textquoteright} OWB. Drawing on our results, we present the integrated DYNAMO Model, which shows the dynamic relationships between AM, OWB, and job crafting.",

keywords = "Algorithmic Management, Job Demands, Job Resources, Occupational Well-being",

author = "Isabell Lippert and Kathrin Kirchner and Carol Saunders",

year = "2023",

language = "English",

booktitle = "Proceedings of the ECIS 2023 Research Papers",

note = "The European Conference on Information Systems (ECIS) ; Conference date: 11-06-2023 Through 16-06-2023",

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T1 - The Dynamic Relationships between Algorithmic Management and Workers' Occupational Well-being

T2 - The European Conference on Information Systems (ECIS)

AU - Lippert , Isabell

AU - Kirchner, Kathrin

AU - Saunders, Carol

PY - 2023

Y1 - 2023

N2 - Algorithmic management (AM) as key enabler for managing the workforce in food delivery services has recently raised growing concerns about workers’ occupational well-being (OWB). Existing studies mainly emphasize negative impacts of AM on workers’ OWB, e.g., stress due to constant tracking. Contrastingly, a few studies show positive aspects of AM, e.g., receiving personalized real-time feedback. Getting to the root of these opposing findings, we use the job demands-resources (JD-R) model as theoretical lens to structurally analyze AM-specific job demands (AM-JD) and AM-specific job resources (AM-JR). Based on semi-structured interviews with 21 food delivery riders in Germany, this study paints a nuanced picture of AM, e.g., by identifying AM-JRs, that help to mitigate AM-JDs. We further find that job crafting, i.e., proactively changing work-related boundaries, increases AM-JRs and workers’ OWB. Drawing on our results, we present the integrated DYNAMO Model, which shows the dynamic relationships between AM, OWB, and job crafting.

AB - Algorithmic management (AM) as key enabler for managing the workforce in food delivery services has recently raised growing concerns about workers’ occupational well-being (OWB). Existing studies mainly emphasize negative impacts of AM on workers’ OWB, e.g., stress due to constant tracking. Contrastingly, a few studies show positive aspects of AM, e.g., receiving personalized real-time feedback. Getting to the root of these opposing findings, we use the job demands-resources (JD-R) model as theoretical lens to structurally analyze AM-specific job demands (AM-JD) and AM-specific job resources (AM-JR). Based on semi-structured interviews with 21 food delivery riders in Germany, this study paints a nuanced picture of AM, e.g., by identifying AM-JRs, that help to mitigate AM-JDs. We further find that job crafting, i.e., proactively changing work-related boundaries, increases AM-JRs and workers’ OWB. Drawing on our results, we present the integrated DYNAMO Model, which shows the dynamic relationships between AM, OWB, and job crafting.

KW - Algorithmic Management

KW - Job Demands

KW - Job Resources

KW - Occupational Well-being

M3 - Article in proceedings

BT - Proceedings of the ECIS 2023 Research Papers

Y2 - 11 June 2023 through 16 June 2023

ER -

The Dynamic Relationships between Algorithmic Management and Workers' Occupational Well-being: A Job Demands-Resources Perspective

Abstract

Conference

Keywords

Access to Document

OpenUrl availability

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Projects

PerMa: Perceived managerial support of algorithmic management: Mitigating harmful effects on the well-being of platform workers

Activities

The European Conference on Information Systems (ECIS)

Prizes

Distinguished Research Fellowship

Cite this