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  4. Microfoundations of Dynamic Capabilities for Platform Ecosystem Establishment: Evidence from Enterprise IoT
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Microfoundations of Dynamic Capabilities for Platform Ecosystem Establishment: Evidence from Enterprise IoT

Type
conference paper
Date Issued
2021-12
Author(s)
Marheine, Christian  
;
Petrik, Dimitri
Research Team
IWI3
Abstract (De)
The internet of things (IoT) and digital platforms have offered industrial companies new opportunities to compete against digital platform-native companies. To succeed in this competition, industry incumbents must learn to extend their traditional product and service business through platforms. However, extant research has focused primarily on the ability of platform owners to govern mature platforms for innovation but has largely ignored how industry incumbents can build these capabilities internally during the establishment of their platform ecosystems as part of larger transformational journeys. To address this gap, we conduct a multiple case study of three incumbent organizations, drawing on a dynamic capability lens. We identify 11 practical microfoundations of sensing, seizing, and reconfiguring dynamic capabilities that aided three incumbents in establishing their IoT platform ecosystems. Besides the transformational activities, our findings contribute to the literature on platform establishment through three IoT-related shifts that deviate from known digital platform paradigms.
Language
English
Keywords
Platform establishment
internet of things
digital platform
ecosystem
value cocreation
dynamic capabilities
microfoundations
HSG Classification
contribution to scientific community
Refereed
Yes
Pages
17
Event Title
International Conference on Information Systems
Event Location
Austin, Texas
Event Date
13-15 December
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/109678
Subject(s)

information managemen...

Division(s)

IWI - Institute of In...

Eprints ID
264516
File(s)
Thumbnail Image
Name

Microfoundations of Dynamic Capabilities for Platform Ecosystem E.pdf

Size

368.09 KB

Format

Adobe PDF

Checksum (MD5)

ef0b3b8bbdb4d79e489883a761755533

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