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Pico-Jobs as an Open Innovation Tool for utilizing Crowdsourcing

ISBN
978-3-642-31649-4
Type
book section
Date Issued
2013
Author(s)
Fähling, Jens
Blohm, Ivo  
Leimeister, Jan Marco  
Krcmar, Helmut
Fischer, Jan
Editor(s)
Eriksson Lundström, Jenny S. Z.
Wiberg, Mikael
Hrastinski, Stefan
Edenius, Mats
Ågerfalk, Pär J.
DOI
10.1007/978-3-642-31650-0_13
Research Team
CCC, Crowdsourcing, IWI6
Abstract
The Internet enables new forms of crowdsourcing by electronic platforms. Companies can use these platforms for opening up their innovation processes and for integrating customers by small, highly structured paid tasks. We call these tasks Pico-Jobs and illustrate them as an open innovation tool for systematically utilising the creative potential of customers for activities during the innovation process. The characteristics of Pico-Jobs are elaborated by reviewing leading crowdsourcing platforms and the Pico-Jobs offered on these platforms. Overall, companies can use Pico-Jobs for three different purposes: (1) Crowd Wisdom, which allows users of these crowdsourcing platforms to share their knowledge and perceptions with the company, (2) Crowd Creation, which encourages the creation of new content or artefacts on these platforms and (3) Crowd Voting, which involves platform users for the evaluation of product ideas, prototypes or designs. Our real-world case with OSRAM pinpoints these application patterns of Pico-Jobs and their potential for speeding up customer integration for generating and evaluating ideas for innovations.
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Book title
Managing Open Innovation Technologies
Publisher
Springer
Publisher place
Berlin [u.a.]
Start page
199
End page
204
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/90042
Subject(s)

information managemen...

business studies

Division(s)

IWI - Institute of In...

Eprints ID
250112
File(s)
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Thumbnail Image

open.access

Name

JML_467.pdf

Size

380.48 KB

Format

Adobe PDF

Checksum (MD5)

a24edc1a27130fb665400deb9ff4cfda

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