Leadership and the wisdom of crowds: how to tap into the collective intelligence of an organization
MetadataShow full item record
Purpose – Under certain conditions, a mass of people can be smarter than the best expert – even if the expert is part of the group. In this paper we show how leaders can improve decision making by tapping into the collective intelligence of their organization. Design/methodology/approach – Based on James Surowiecki’s four conditions of collective intelligence (cognitive diversity, independence, utilization of decentralized knowledge, and effective aggregation of dispersed knowledge), we discuss how leaders can tap into the wisdom of the crowd of their organizations. Findings – We show how leaders can increase cognitive diversity in decision making, access decentralized knowledge in their organizations, encourage individuals to contribute their knowledge without interference from peer pressure, conformity or influence from superiors, and how knowledge can effectively be aggregated to make wiser decisions. Originality/value – While various tools exist to reap the collective intelligence of a group, we argue that leaders also must change their attitudes and leadership styles. Using evidence from various studies and several examples we show what leaders can do to make smarter decisions.
Showing items related by title, author, creator and subject.
Intelligent workpiece carrier for distributed data collection and control in manufacturing environments Gasparetto W; Egger G; Giusti A; Rauch E; Riedl M; Matt DT (2018)The growing demand for customized products is challenging companies to change their organizational structure towards a flexible organizational model. However, small and medium sized enterprises (SME) do not have the necessary ...
Proceedings of the Workshop Popularize Artificial Intelligence, co-located with the 13th Conference of the Italian Association for Artificial Intelligence (AI*IA 2013) Baldoni M; Chesani F; Mello P; Montali M (CEUR-WS.org, 2013)The 2nd Workshop on Popularize Artiﬁcial Intelligence (PAI 2013) follows the successful experience of the 1st edition, held in Rome 2012 to celebrate the 100th anniversary of Alan Turing’s birth. It is organized as part ...
Bertotti, ML (2011)A mathematical approach is here discussed, addressed to try and explain the emergence of collective properties of socio-economic systems with a large number of individuals, based on the knowledge of pairwise individual ...