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Neslihan Iskender
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Research Group
Teaching
- Study Project Quality & Usability (Since SS 2018)
- Interdiziplinäres Medienprojekt (Since SS 2018)
- Usability Engineering (Exercise SS 2018)
Biography
Neslihan Iskender received her Bachelor and Master of Science degree in Industrial Engineering and Management at the Karlsruhe Institute of Technology. During her studies, she focused on managing new technologies and innovation management. Since May 2017, she is employed as a research assistant at the Quality and Usability Labs where she is working towards a PhD in the field of crowdsourcing. Her research Topics are:
- Crowd assessments: Usability, UX, QoE, Quality
- Real-time interaction, human computation as a service, (HuaaS)
- Hybrid Worfklows for micro-task crowdsourcing
- Internal Crowdsourcing
Current Projects
Past Projects
- ERICS – European Refugee Information and Communication Service (EIT-Digital, Project Lead)
- OurPuppet: Pflegeunterstützung mit einer interaktiven Puppe für informell Pflegende (BMBF)
- ICU - Internes Crowdsourcing in Unternehmen: Arbeitnehmergerechte Prozessinnovationen durch digitale Beteiligung von Mitarbeiter/innen (BMBF)
Contact
E-Mail: neslihan.iskender@tu-berlin.de
Phone: +49 (30) 8353-58347
Fax: +49 (30) 8353-58409
Address
Quality and Usability Lab
Deutsche Telekom Laboratories
Technische Universität Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany
Publications
| Zitatschlüssel | iskender2021a |
|---|---|
| Autor | Iskender, Neslihan and Polzehl, Tim |
| Buchtitel | Internal Crowdsourcing in Companies: Theoretical Foundations and Practical Applications |
| Seiten | 103–134 |
| Jahr | 2021 |
| ISBN | 978-3-030-52881-2 |
| DOI | 10.1007/978-3-030-52881-2_6 |
| Adresse | Cham |
| Monat | feb |
| Notiz | online |
| Herausgeber | Ulbrich, Hannah and Wedel, Marco and Dienel, Hans-Liudger |
| Verlag | Springer International Publishing |
| Wie herausgegeben | Fullpaper |
| Zusammenfassung | 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. |