A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
Finding meaning in crowdwork : An analysis of algorithmic management, work characteristics, and meaningfulness (2023)
van Zoonen, W., ter Hoeven, C., & Morgan, R. (2023). Finding meaning in crowdwork : An analysis of algorithmic management, work characteristics, and meaningfulness. Information Society, 39(5), 322-336. https://doi.org/10.1080/01972243.2023.2243262
JYU-tekijät tai -toimittajat
Julkaisun tiedot
Julkaisun kaikki tekijät tai toimittajat: van Zoonen, Ward; ter Hoeven, Claartje; Morgan, Ryan
Lehti tai sarja: Information Society
ISSN: 0197-2243
eISSN: 1087-6537
Julkaisuvuosi: 2023
Ilmestymispäivä: 11.08.2023
Volyymi: 39
Lehden numero: 5
Artikkelin sivunumerot: 322-336
Kustantaja: Taylor & Francis
Julkaisumaa: Yhdysvallat (USA)
Julkaisun kieli: englanti
DOI: https://doi.org/10.1080/01972243.2023.2243262
Julkaisun avoin saatavuus: Avoimesti saatavilla
Julkaisukanavan avoin saatavuus: Osittain avoin julkaisukanava
Julkaisu on rinnakkaistallennettu (JYX): https://jyx.jyu.fi/handle/123456789/88618
Tiivistelmä
In this study we investigate the implications of different aspects of algorithmic coordination and algorithmic quantification for perceived work conditions and the meaningfulness of crowdwork. Using survey data obtained from 412 crowdworkers, our analysis shows that work conditions and the meaningfulness of work are impacted differently by algorithmic coordination and the feeling of being quantified by an algorithm. Specifically, it shows that algorithmic coordination has either a positive or null impact on perceived work conditions and meaningfulness of work. However, negative associations between algorithmic quantification and perceived work conditions, suggest that the algorithmic quantification seems particularly problematic for crowdworkers’ experienced work conditions. Furthermore, algorithmic coordination is positively associated with the meaningfulness of work, while algorithmic quantification is negatively associated with the perceived meaningfulness of work. Using work design theory, the findings also provide insights into the mechanisms explaining these relationships.
YSO-asiasanat: algoritmit; algoritmiikka; työelämä; työolot; työn kuormittavuus; työmotivaatio; mielekkyys
Vapaat asiasanat: algorithmic coordination; algorithmic quantification; crowdwork; meaningfulness of work; work characteristics
Liittyvät organisaatiot
Hankkeet, joissa julkaisu on tehty
- Datarepresentaatiot ja työpaikan valvonnan ja seurannan uusi aalto
- van Zoonen, Ward
- Suomen Akatemia
OKM-raportointi: Kyllä
VIRTA-lähetysvuosi: 2023
JUFO-taso: 2