A4 Refereed article in a conference publication
The Crowdsourcing Delphi: A Method for Combing Expert Judgements and Wisdom of Crowds
Authors: Santonen Teemu, Kaivo-oja Jari
Editors: Uden Lorna, Ting I-Hsien, Feldmann Birgit
Conference name: International Conference on Knowledge Management in Organizations
Publisher: Springer Science and Business Media Deutschland GmbH
Publication year: 2022
Journal: Communications in Computer and Information Science
Book title : Knowledge Management in Organisations: 16th International Conference, KMO 2022, Hagen, Germany, July 11–14, 2022, Proceedings
Journal name in source: Communications in Computer and Information Science
Series title: Communications in Computer and Information Science
Volume: 1593
First page : 233
Last page: 244
ISBN: 978-3-031-07919-1
eISBN: 978-3-031-07920-7
DOI: https://doi.org/10.1007/978-3-031-07920-7_18
How to combine expert judgment and mass intelligence? This study can be characterized as methodological concept development. We combine the relevant theories and methodological approaches from expert-dominated Delphi methods and layman-dominated crowdsourcing approaches to introduce a novel Crowdsourcing Delphi research approach. The key contributions of this study consist: (1) the definition of Crowdsourcing Delphi term, (2) identification of differences between crowdsourcing and Delphi methodologies, (3) developing a framework for selecting and evaluating Crowdsourcing Delphi research strategies and (4) identifying pros and cons for different research strategy combinations. One notable advantage for knowledge management need is that the Crowdsourcing methodology allows a large variety of different Delphi variants and different Crowdsourcing techniques. The Crowdsourcing Delphi allows also combination of Data pools/Big Data flows of crowds to the methodological practices of various Delphi expert-panel methods (Delphi variants). The Crowdsourcing Delphi is a new knowledge management methodology tool package.