How Ants Build Pyramids: The Concept of Task/Technology Fit in Crowdsourcing

Rabes K (2020)


Publication Type: Thesis

Publication year: 2020

Publisher: Springer Fachmedien Wiesbaden GmbH

Edited Volumes: Markt- und Unternehmensentwicklung Markets and Organisations (MAU)

Series: Markt- und Unternehmensentwicklung Markets and Organisations

City/Town: Wiesbaden

ISBN: 9783658274382

URI: https://link.springer.com/book/10.1007/978-3-658-27439-9

DOI: 10.1007/978-3-658-27439-9

Abstract

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.

Authors with CRIS profile

Additional Organisation(s)

How to cite

APA:

Rabes, K. (2020). How Ants Build Pyramids: The Concept of Task/Technology Fit in Crowdsourcing (Dissertation).

MLA:

Rabes, Karl. How Ants Build Pyramids: The Concept of Task/Technology Fit in Crowdsourcing. Dissertation, Wiesbaden: Springer Fachmedien Wiesbaden GmbH, 2020.

BibTeX: Download