Gigified Knowledge Work: Understanding Knowledge Gaps When Knowledge Work and On-Demand Work Intersect-Reference-Cited by-同舟云学术

Gigified Knowledge Work: Understanding Knowledge Gaps When Knowledge Work and On-Demand Work Intersect

Published:2022-03-30 Issue:CSCW1 Volume:6 Page:1-27
ISSN:2573-0142
Container-title:Proceedings of the ACM on Human-Computer Interaction
language:en
Short-container-title:Proc. ACM Hum.-Comput. Interact.

Author:

Wilkins Denise J.¹,Hulikal Muralidhar Srihari²,Meijer Max³,Lascau Laura⁴,Lindley Siân³

Affiliation:

1. Microsoft, London, United Kingdom

2. Aarhus University, Aarhus, Denmark

3. Microsoft Research, Cambridge, United Kingdom

4. University College London, London, United Kingdom

Abstract

Online freelance platforms can transform knowledge work. However, 'gigification' also presents challenges, including how freelance workers can access and work with knowledge, which prior research has not examined. Through a qualitative interview study, we identify disparities in how freelancers who work for enterprise companies are able to utilize knowledge as part of their work, when compared with traditional employees of similar organizations. We examine how 38 knowledge workers (21 freelancers, 17 employees) deploy knowledge, work skillfully and mobilize resources to meet knowledge needs. We find that both employees and freelancers understand their own ability to act knowledgeably as a dynamic, collaborative, negotiated and emergent accomplishment. However, for freelancers, the dynamic dimensions of knowledge work - such as helping others see the meaning and value of their work, and creating ties between their work and the enterprise - are only minimally-legitimized and minimally-supported by organizing structures and tools. We present our results as 'knowledge gaps', and propose design recommendations to reduce these gaps and consequently make on-demand knowledge work more effective and sustainable.

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications,Human-Computer Interaction,Social Sciences (miscellaneous)

Link

https://dl.acm.org/doi/pdf/10.1145/3512940

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