Crowd-Resourcing in Response to the COVID-19 Pandemic: A Resource Transformation Perspective

By Olga Kokshagina, Justyna Dąbrowska, and Marta Poblet Balcell

Abstract: Driven by recent calls for more research that examines forms of crowdsourcing used to address social challenges, in this article, we contribute to the broader literature on open innovation and crowdsourcing by investigating how crowdsourcing platforms enable the transformation of crowd-based resources. We have focused on initiatives with broader social purposes, rather than those that are for-profit and single firm-driven, where the resulting resources are usually solely controlled by a specific organization. By analyzing 19 crowd-based initiatives with a similar context—responding to the coronavirus disease pandemic—we studied a variety of initiatives and identified three distinct types of crowdsourcing platforms that enable resource transformation: resource pooling; resource cocreation; and resource enabling beyond the platform boundaries. We depict how access to and control of resources vary across initiatives. We have framed our contribution as crowd-resourcing, providing a reference model for the design of platforms based on the type of involvement and expected degree of resource transformation.

Cite as: O. Kokshagina, J. Dąbrowska and M. Poblet Balcell, “Crowd-Resourcing in Response to the COVID-19 Pandemic: A Resource Transformation Perspective,” in IEEE Transactions on Engineering Management, doi: 10.1109/TEM.2022.3233587.

This entry was posted in crowdsourcing, Open data, Collective intelligence. Bookmark the permalink.

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