Crowd-sourced idea filtering with Bag of Lemons: the impact of the token budget size

Gafari Lukumon () and Mark Klein
Additional contact information
Gafari Lukumon: University Mohammed VI Polytechnic
Mark Klein: University Mohammed VI Polytechnic

DECISION: Official Journal of the Indian Institute of Management Calcutta, 2023, vol. 50, issue 2, No 6, 205-219

Abstract: Abstract Identifying the best ideas from the vast volumes generated by open innovation engagements is costly and often time-consuming. One approach is to engage crowds in filtering the ideas, not just generating them. Klein and Garcia, 2015 proposed a “BOL” approach that is better (in terms of accuracy and speed) at idea filtering than other filtering methods such as a conventional Likert approach. The idea behind this approach (BOL) is that it asks the crowd to distribute a fixed budget of tokens that eliminate bad ideas rather than select good ones. In this paper, we explain why BOL works better than other filtering methods using empirical experiments (with n = 850 subjects). Also, we present the effect of the token budget size on idea-filtering engagement and found, among others, that the accuracy of a filter depends on the token budget size.

Keywords: Collective intelligence; Idea filtering; Bag of Lemon; Bag of Stars; Likert; Filtering; Token budget size (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s40622-023-00349-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:spr:decisn:v:50:y:2023:i:2:d:10.1007_s40622-023-00349-w

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/40622

DOI: 10.1007/s40622-023-00349-w

Access Statistics for this article

DECISION: Official Journal of the Indian Institute of Management Calcutta is currently edited by Rajesh Babu

More articles in DECISION: Official Journal of the Indian Institute of Management Calcutta from Springer, Indian Institute of Management Calcutta
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().