A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Algorithmic management of crowdworkers : Implications for workers’ identity, belonging, and meaningfulness of work (2024)
van Zoonen, W., Sivunen, A. E., & Treem, J. W. (2024). Algorithmic management of crowdworkers : Implications for workers’ identity, belonging, and meaningfulness of work. Computers in Human Behavior, 52, Article 108089. https://doi.org/10.1016/j.chb.2023.108089
JYU-tekijät tai -toimittajat
Julkaisun tiedot
Julkaisun kaikki tekijät tai toimittajat: van Zoonen, Ward; Sivunen, Anu E.; Treem, Jeffrey W.
Lehti tai sarja: Computers in Human Behavior
ISSN: 0747-5632
eISSN: 1873-7692
Julkaisuvuosi: 2024
Volyymi: 52
Artikkelinumero: 108089
Kustantaja: Elsevier
Julkaisumaa: Britannia
Julkaisun kieli: englanti
DOI: https://doi.org/10.1016/j.chb.2023.108089
Julkaisun avoin saatavuus: Avoimesti saatavilla
Julkaisukanavan avoin saatavuus: Osittain avoin julkaisukanava
Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/93316
Tiivistelmä
Online labor platforms function as meta-organizations, blending elements of an open market and hierarchical structure by algorithmically governing goals and objectives. This study investigates how this algorithmic management approach influences the perceived meaningfulness of work among crowdworkers, with a particular focus on its effects through identity and belonging. Drawing on survey data collected from 1291 crowdworkers, our findings highlight that algorithmic control and algorithmic matching are differently associated with the meaningfulness of work. Algorithmic control, characterized by directive oversight, exhibits a negative association with perceived meaningfulness. In contrast, algorithmic matching, which pairs workers with online tasks, fosters a positive perception of meaningfulness. We demonstrate that these associations are (partially) mediated by identity and belonging mechanisms. Specifically, we demonstrate that crowdworkers tend to selforganize support and social confirmation using online communities, which provides a sense of meaningfulness. This research advances our understanding of the experiences of crowdworkers within online labor platforms, shedding light on the multifaceted implications of algorithmic management. It emphasizes the importance of fostering supportive and communicative environments in work settings characterized by algorithmic governance mechanisms.
YSO-asiasanat: algoritmit; johtaminen; työelämä; työviihtyvyys; mielekkyys
Vapaat asiasanat: algorithmic management; crowdwork; identity challenge; meaningful work
Liittyvät organisaatiot
OKM-raportointi: Kyllä
VIRTA-lähetysvuosi: 2023
JUFO-taso: 3
