Unleashing the Potential of Crowd Work: The Need for a Post-Taylorism Crowdsourcing Model
dc.contributor.author | Lykourentzou, Ioanna | |
dc.contributor.author | Robert, Lionel + "Jr" | |
dc.contributor.author | Barlatier, Pierre-Jean | |
dc.date.accessioned | 2021-12-15T13:57:04Z | |
dc.date.available | 2021-12-15T13:57:04Z | |
dc.date.issued | 2021-12-15 | |
dc.identifier.citation | Lykourentzou, I., Robert, L.P., Barlatier, J-P. (2021). Unleashing the Crowd Work’s Potential: The need for a Post-Taylorism Crowdsourcing Model, M@n@gement, 24(4): 64–69. http://dx.doi.org/10.37725/mgmt.v24.8373 | en_US |
dc.identifier.uri | http://dx.doi.org/10.37725/mgmt.v24.8373 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/171075 | en |
dc.description.abstract | Paid crowdsourcing connects task requesters to a globalized, skilled workforce that is available 24/7. In doing so, this new labor model promises not only to complete work faster and more efficiently than any previous approach but also to harness the best of our collective capacities. Nevertheless, for almost a decade now, crowdsourcing has been limited to addressing rather straightforward and simple tasks. Large-scale innovation, creativity, and wicked problem solving are still largely out of the crowd’s reach. In this opinion paper, we argue that existing crowdsourcing practices bear significant resemblance to the management paradigm of Taylorism. Although criticized and often abandoned by modern organizations, Taylorism principles are prevalent in many crowdsourcing platforms, which employ practices such as the forceful decomposition of all tasks regardless of their knowledge nature and the disallowing of worker interactions, which diminish worker motivation and performance. We argue that a shift toward post-Taylorism is necessary to enable the crowd address at scale the complex problems that form the backbone of today’s knowledge economy. Drawing from recent literature, we highlight four design rules that can help make this shift, namely, endorsing social crowd networks, encouraging teamwork, scaffolding ownership of one’s work within the crowd, and leveraging algorithm-guided worker self-coordination. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | M@n@gement | en_US |
dc.subject | Crowd work | en_US |
dc.subject | Crowdwork | en_US |
dc.subject | Post-Taylorism | en_US |
dc.subject | Macro-task | en_US |
dc.subject | Distributed collaboration | en_US |
dc.subject | Open innovation | en_US |
dc.subject | Open innovation platforms | en_US |
dc.subject | digital platforms | en_US |
dc.subject | Computer supported work | en_US |
dc.subject | crowdsourcing | en_US |
dc.subject | teamwork | en_US |
dc.subject | virtual teams | en_US |
dc.subject | computer supported teams | en_US |
dc.subject | work groups | en_US |
dc.subject | crowdsourced innovation | en_US |
dc.subject | Large-scale innovation | en_US |
dc.subject | post-Taylorism | en_US |
dc.subject | future of work | en_US |
dc.subject | knowledge economy | en_US |
dc.subject | social crowd networks | en_US |
dc.subject | algorithm-guided worker | en_US |
dc.subject | work | en_US |
dc.subject | work teams | en_US |
dc.title | Unleashing the Potential of Crowd Work: The Need for a Post-Taylorism Crowdsourcing Model | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Information Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Information, School of | en_US |
dc.contributor.affiliationum | Robotics Institute | en_US |
dc.contributor.affiliationother | Utrecht University | en_US |
dc.contributor.affiliationother | EDHEC Business School | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/171075/1/Lykourentzou et al. 2021.pdf | |
dc.identifier.doi | 10.37725/mgmt.v24.8373 | |
dc.identifier.doi | https://dx.doi.org/10.7302/3751 | |
dc.identifier.source | M@n@gement | en_US |
dc.identifier.orcid | 0000-0002-1410-2601 | en_US |
dc.description.filedescription | Description of Lykourentzou et al. 2021.pdf : Final Article | |
dc.description.depositor | SELF | en_US |
dc.identifier.name-orcid | Robert, Lionel P.; 0000-0002-1410-2601 | en_US |
dc.working.doi | 10.7302/3751 | en_US |
dc.owningcollname | Information, School of (SI) |
Files in this item
Remediation of Harmful Language
The University of Michigan Library aims to describe library materials in a way that respects the people and communities who create, use, and are represented in our collections. Report harmful or offensive language in catalog records, finding aids, or elsewhere in our collections anonymously through our metadata feedback form. More information at Remediation of Harmful Language.
Accessibility
If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.