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@PHDTHESIS{vanDyck:888694,
author = {van Dyck, Marc},
othercontributors = {Piller, Frank Thomas and Jarke, Matthias},
title = {{E}mergence, evolution, and management of innovation
ecosystems},
school = {Rheinisch-Westfälische Technische Hochschule Aachen},
type = {Dissertation},
address = {Aachen},
publisher = {RWTH Aachen University},
reportid = {RWTH-2023-00749},
pages = {1 Online-Ressource : Illustrationen, Diagramme},
year = {2022},
note = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
University 2023; Dissertation, Rheinisch-Westfälische
Technische Hochschule Aachen, 2022},
abstract = {Ecosystems have received a growing interest among
management and innovation scholars as a new way of
organizing competition and innovation. Managers share this
enthusiasm and have adopted ecosystem strategies in settings
ranging from smartphones, video games, to ride-hailing
services. While the literature has predominantly focused on
consumer-facing firms in business-to-consumer markets that
either started as ecosystems or adopted this model a long
time, there is a lack of understanding how ecosystems affect
established firms in traditional industries that produce and
sell asset-heavy equipment. This is surprising considering
that established firms from all industries increasingly turn
to ecosystems either because they face competition from
ecosystems or seek new growth opportunities. The objective
of this dissertation is to examine how innovation ecosystems
come into being (emerge), develop as a whole while its
individual members mutually adapt (evolve), and how they can
be managed. I particularly focus on how ecosystems affect
established firms in traditional industries that produce and
sell asset-heavy equipment. I use a mix of qualitative and
quantitative research methods to address these aspects in a
series of three independent research essays.The first essay
investigates how ecosystems in traditional industries emerge
enabled by new technology. I present the results of an
extensive Delphi survey, analyzing 1930 quantitative
estimations and 629 qualitative arguments on a set of 24
projections, forecasting the future of digital manufacturing
with a projection horizon towards 2030. Examining this data
and a broad range of additional use cases of digital twins
in manufacturing firms, I find that digital twins shared and
connected across organizations demand a nuanced view of the
design of future industry platforms for digital
manufacturing. Based on the empirical findings, I develop a
framework of design choices for industry platforms that
enable interconnected digital twins – spanning different
alternatives and identifying tensions for the design and
utilization of such platforms. The second essay examines how
incumbents transition from a product business to a platform
business. Based on a longitudinal multi-case study of two
incumbents in the agricultural sector, I reveal key choices
they make to adapt their value creation and capture model
toward a platform ecosystem, shaping their transformation
outcomes differently. Based on these observations, I offer
three propositions on how these choices orchestrate existing
and new actors to create an ecosystem-level value
proposition.In the third essay, I turn to the often
overlooked side of complementors. An ecosystem’s
competitive advantage is dependent on stimulating
co-creation with a network of complementors that
continuously provides complementary innovation. Yet,
attracting and maintaining complementors is challenging and
lack of complementor engagement is a major reason for
ecosystem failure. Given mixed results in the literature, I
test a key determinant for innovation outcomes. I argue that
innovation efforts by complementors vary for different forms
of innovation ecosystems due to differences in the type of
knowledge and the way external contributors are organized.
An analysis of 9,977 contributions by 6,790 complementors
submitted over three years finds that past success in
generating high-quality contributions reduces the likelihood
of proposing subsequent high-quality contributions,
confirming earlier findings of cognitive fixation. The
results suggest that specialization, i.e., focus on a
particular knowledge domain, is less prone to the negative
effects of past success. Thereby, I contribute to the
understanding of innovation efforts in different contexts
and add to the discussion of the differing views on the role
of knowledge. Collectively, the three research essays
advance knowledge about the emergence, evolution, and
management of innovation ecosystems. Importantly, they
challenge the notion that ecosystems require a keystone firm
that orchestrates its development and its members.Taken
together, the three essays contribute to the understanding
of how ecosystems emerge, evolve, and can be managed.},
cin = {812710 / 080067},
ddc = {330},
cid = {$I:(DE-82)812710_20140620$ / $I:(DE-82)080067_20181221$},
pnm = {DFG project 390621612 - EXC 2023: Internet of Production
(IoP) (390621612) / WS-D.II - External Perspective
(X080067-WS-D.II)},
pid = {G:(GEPRIS)390621612 / G:(DE-82)X080067-WS-D.II},
typ = {PUB:(DE-HGF)11},
doi = {10.18154/RWTH-2023-00749},
url = {https://publications.rwth-aachen.de/record/888694},
}
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