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  4. Adaptation Barriers in Internal Crowdsourcing: A Multiple Case Study
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Adaptation Barriers in Internal Crowdsourcing: A Multiple Case Study

Type
conference paper
Date Issued
2018-06-23
Author(s)
Knop, Nicolas  
;
Blohm, Ivo  
Abstract
Recently, the application of internal crowdsourcing in companies as a new form of orchestrating work has increased substantially. Early research has shown that organizations should apply internal crowdsourcing due to its benefits, such as fast access to internal knowledge and increased productivi-ty. Although studies have identified some advantages, internal crowdsourcing is a complex initiative and we do not sufficiently know how to rollout internal crowdsourcing initiatives in a company and to guide them to a state of stable operations in the adaptation stage. Some papers derived barriers for internal crowdsourcing and solutions on how to overcome them. However, these barriers address mostly the operational stage, when the initiative is already stable. Some papers address adaptation barriers, but the assessment frameworks in current literature used to detect them were incomprehen-sive resulting in only few adaptation barriers and solutions. Therefore, we identify the adaptation bar-riers of internal crowdsourcing comprehensively through the technochange theory in a multiple case study, assess what solutions the companies applied and describe how the solutions work in order to display how to overcome barriers in a consolidated introduction model for internal crowdsourcing.
Funding(s)
CC Crowdsourcing  
CC Agile Transformation  
Transformation of Work Through Internal Crowdsourcing  
Language
English
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Publisher
AIS
Start page
1
End page
11
Pages
11
Event Title
European Conference on Information Systems (ECIS)
Event Location
Portsmouth, UK
Event Date
23.-28.06.2018
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/100307
Subject(s)

information managemen...

business studies

Division(s)

IWI - Institute of In...

Eprints ID
255838
File(s)
Thumbnail Image

open.access

Name

KnopBlohm_Ecis2018.pdf

Size

111 KB

Format

Adobe PDF

Checksum (MD5)

126527c7aad60f6882d3ca0d7bc3190e

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