Managing Innovation in a Crowd

Working Paper: NBER ID: w19852

Authors: Daron Acemoglu; Mohamed Mostagir; Asuman Ozdaglar

Abstract: Crowdsourcing is an emerging technology where innovation and production are sourced out to the public through an open call. At the center of crowdsourcing is a resource allocation problem: there is an abundance of workers but a scarcity of high skills, and an easy task assigned to a high-skill worker is a waste of resources. This problem is complicated by the fact that the exact difficulties of innovation tasks may not be known in advance, so tasks that require high-skill labor cannot be identified and allocated ahead of time. We show that the solution to this problem takes the form of a skill hierarchy, where tasks are first attempted by low-skill labor, and high-skill workers only engage with a task if less skilled workers are unable to finish it. This hierarchy can be constructed and implemented in a decentralized manner even though neither the difficulties of the tasks nor the skills of the candidate workers are known. We provide a dynamic pricing mechanism that achieves this implementation by inducing workers to self select into different layers. The mechanism is simple: each time a task is attempted and not finished, its price (reward upon completion) goes up.

Keywords: crowdsourcing; innovation; resource allocation; skill hierarchy; dynamic pricing

JEL Codes: D20; D83; L22


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
crowdsourcing can be organized effectively despite unknown task difficulties and worker skills (O36)structured skill hierarchy can enhance task completion efficiency (L23)
lower-skilled workers attempt tasks first, higher-skilled workers step in only if tasks are not completed (J29)overall efficiency of task allocation improves (D61)
dynamic pricing mechanism increases rewards for uncompleted tasks (D47)induces self-selection among workers (J29)
self-selection among workers (J29)higher-skilled workers are incentivized to wait for more challenging tasks (J29)
pricing mechanism allows for decentralized implementation of optimal matching of tasks to workers (D47)task assignment is optimized (C78)

Back to index