EconPapers    
Economics at your fingertips  
 

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

Andrei Gurca, Mehdi Bagherzadeh and Rezvan Velayati

Technovation, 2023, vol. 119, issue C

Abstract: 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.

Keywords: Crowdsourcing; Problem attributes; Bounded rationality (search for similar items in EconPapers)
Date: 2023
References: Add references at CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0166497222001602
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:techno:v:119:y:2023:i:c:s0166497222001602

DOI: 10.1016/j.technovation.2022.102613

Access Statistics for this article

Technovation is currently edited by Jonathan Linton

More articles in Technovation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2022-12-20
Handle: RePEc:eee:techno:v:119:y:2023:i:c:s0166497222001602