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An Empirical Analysis of an Internal Crowdsourcing Platform: IT Implications for Improving Employee Participation
Citation key iskender2021a
Author Iskender, Neslihan and Polzehl, Tim
Title of Book Internal Crowdsourcing in Companies: Theoretical Foundations and Practical Applications
Pages 103–134
Year 2021
ISBN 978-3-030-52881-2
DOI 10.1007/978-3-030-52881-2_6
Address Cham
Month feb
Note online
Editor Ulbrich, Hannah and Wedel, Marco and Dienel, Hans-Liudger
Publisher Springer International Publishing
How Published Fullpaper
Abstract Crowdsourcing has become one of the main resources for working on so-called microtasks that require human intelligence to solve tasks that computers cannot yet solve and to connect to external knowledge and expertise. Instead of using external crowds, several organizations have increasingly been using their employees as a crowd, with the aim of exploiting employee's potentials, mobilizing unused technical and personal experience and including personal skills for innovation or product enhancement. However, understanding the dynamics of this new way of digital co-working from the technical point of view plays a vital role in the success of internal crowdsourcing, and, to our knowledge, no study has yet empirically investigated the relationship between the technical features and participation in internal crowdsourcing. Therefore, this chapter aims to provide a guideline for organizations and employers from the perspective of the technical design of internal crowdsourcing, specifically regarding issues of data protection privacy and security concerns as well as task type, design, duration and participation time based on the empirical findings of an internal crowdsourcing platform.
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