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A Mixed Method Approach to Understanding Crowdsourcees’ Engagement Behavior

Type
conference paper
Date Issued
2017-12-10
Author(s)
Troll, Julia  
;
Naef, Sven
;
Blohm, Ivo  
Research Team
CCC, Crowdsourcing, IWI6
Abstract
With an increasing amount of arising crowdsourcing initiatives, insights are needed on how to successfully drive initial and sustained platform-activity, as a form of value co-creation between crowdsourcer and crowdsourcees. Therefore, the engagement concept, known as a micro-foundation of value co-creation, serves to holistically understand crowdsourcees’ psychological and behavioral responses along the IT-mediated crowdsourcing journey. Due to the multidimensionality of the concept, a mixed method approach is proposed for exploring qualitatively and quantitatively stimuli’s effect on psychological states and engagement behaviors. Therefore, two measuring approaches, the Sequential Incident Laddering Technique and a Panel Poisson Model, are presented. Preliminary findings suggest that, next to other factors, crowdsourcer-interaction and high-effort tasks serve as dominant drivers, fostering psychological engagement beyond the interaction process, while crowd-interaction rather drives within-process engagement behavior. This research in progress provides IS-researchers and practitioners initial insights into IT-enabled value co-creation processes.
Funding(s)
CC Crowdsourcing  
Language
English
Keywords
Crowdsourcing
engagement behavior
mixed method approach
value co-creation
HSG Classification
contribution to scientific community
HSG Profile Area
SoM - Business Innovation
Event Title
International Conference on Information Systems (ICIS)
Event Location
Seoul, South Korea
Event Date
10-13. Decemeber 2017
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/101715
Subject(s)

other research area

information managemen...

business studies

Division(s)

IWI - Institute of In...

Eprints ID
252296
File(s)
Thumbnail Image
Name

JML_674.pdf

Size

1.08 MB

Format

Adobe PDF

Checksum (MD5)

e7dd2ecaf07e950e859262ecd370e95b

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