Karl R. Rabes explores the performance impact of differing task designs in crowdsourcing, especially micro-task markets. Based on several exploratory literature reviews, the manuscript applies the task-technology fit theory and numerous quasi-experiments to show which tasks can be successfully outsourced to the crowd. It is revealed how a tasks design has an influence on solution quality taking into account respective task-, technology- and individual characteristics, and clearly delineates the differences in objective quality and subjective fit evaluations within and between task designs for micro-task markets.
Reihe
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Sprache
Verlagsort
Verlagsgruppe
Springer Fachmedien Wiesbaden GmbH
Illustrationen
55
55 s/w Abbildungen
XVII, 167 p. 55 illus.
Dateigröße
Schlagworte
ISBN-13
978-3-658-27439-9 (9783658274399)
DOI
10.1007/978-3-658-27439-9
Schweitzer Klassifikation
Thema Klassifikation
DNB DDC Sachgruppen
Dewey Decimal Classfication (DDC)
BIC 2 Klassifikation
BISAC Klassifikation
Warengruppensystematik 2.0
Karl R. Rabes is a founder and project manager at the Friedrich-Alexander-University Erlangen-Nuremberg. He received his PhD in economic sciences from Prof. Dr. Kathrin M. Möslein at the Department of Information Systems, Chair of Information Systems 1 - Innovation & Value Creation. As a consultant he supported several major German and international companies in the planning, execution and controlling of R&D projects.
Crowdsourcing, collective intelligence and open innovation.- Micro-Task Markets, motivation, quality and challenges.- Task/Technology Fit Theory.- Task design, task types and task formulation complexity.
