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Aligning the crowdsourcing type with the problem attributes to improve solution search efficacy

journal contribution
posted on 2022-08-16, 07:59 authored by Andrei Gurca, Mehdi Bagherzadeh, Rezvan Velayati

Drawing on the concept of bounded rationality and extant evidence, we argue that for specific problems (broad and ill-defined, urgent, highly technical), the prevailing approach to crowdsourcing (metaphorically labeled as “fishing” in this study) has several limitations that affect the quality of emerging solutions. For such problems, we argue that other types of crowdsourcing (i.e., collective production and “hunting”) may generate more appropriate solutions. Our insights regarding the solution search process advance the literature by highlighting the importance of alignment between crowdsourcing type and problem attributes. We also provide a decision framework for managers suggesting how they can select the most appropriate type of crowdsourcing for their solution searching efforts.

History

School

  • Business and Economics

Department

  • Business

Published in

Technovation

Volume

119

Issue

2023

Publisher

Elsevier

Version

  • AM (Accepted Manuscript)

Rights holder

© Elsevier

Publisher statement

This paper was accepted for publication in the journal Technovation and the definitive published version is available at https://doi.org/10.1016/j.technovation.2022.102613

Acceptance date

2022-07-29

Publication date

2022-08-15

Copyright date

2022

ISSN

0166-4972

eISSN

1879-2383

Language

  • en

Depositor

Dr Andrei Gurca. Deposit date: 15 August 2022

Article number

102613

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