How Ants Build Pyramids (eBook, PDF)
The Concept of Task/Technology Fit in Crowdsourcing
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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 ...
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.
Contents
- 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
Target Groups
- Lecturers and students of business informatics, business administration and economics
- Experts in innovation management, IT, and strategy
The Autor
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.
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