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  4. The Antecedents of Transaction Costs in Digital Ecosystems: A Configurational View on the Interplay of App Architecture and Platform Governance
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The Antecedents of Transaction Costs in Digital Ecosystems: A Configurational View on the Interplay of App Architecture and Platform Governance

Type
conference paper
Date Issued
2017
Author(s)
Dellermann, Dominik
;
Reck, Fabian
Research Team
IWI6
Abstract
The locus of value creation and innovation in the
software industry is shifting more and more to platform
ecosystems on which numerous developers create
extensions with additional functionalities based on the
platforms core architecture. While such
complementors may strongly profit from platforms,
there are considerable costs. Recent studies therefore
examined the costs of fitting apps to the specifications
of certain platforms; however, these works largely
neglect costs arising from the transactional
relationship between platform and complementor. In
order to shed light on this, our work examines how
design choices of platform governance and app
architecture impact the emergence of four types of
cost-inducing hazards within the transactional context
of the ecosystem. By using a configurational approach
based on fuzzy-set qualitative comparative analysis
(FsQCA), we display complex interactional effects of
the causal conditions on complementors’ perception of
hazardous environments and thus provide valuable
insights for both practice and theory on platform
ecosystems.
Language
English
Keywords
Cloud
Complementor
FsQCA
Platform Governance
Transaction Cost Theory
HSG Classification
contribution to practical use / society
Event Title
Hawaii International Conference on System Sciences (HICSS)
Event Location
Waikoloa, HI, USA.
Event Date
04.01.2017 - 07.01.2017
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/102934
Subject(s)

other research area

information managemen...

business studies

Eprints ID
250879
File(s)
Thumbnail Image
Name

JML_625.pdf

Size

847.23 KB

Format

Adobe PDF

Checksum (MD5)

d95ab2a4c6c00572b84cda1c17de8424

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