<div class="csl-bib-body">
<div class="csl-entry">Tomic, S. D. K. (2018). <i>How artificial intelligence (AI) innovators profit from innovation in digital platform ecosystems : an explorative business model study</i> [Master Thesis, Technische Universität Wien; Wirtschaftsuniversität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.57474</div>
</div>
-
dc.identifier.uri
https://doi.org/10.34726/hss.2018.57474
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/7691
-
dc.description.abstract
The topic of this thesis is the relationship between the business models (BMs) of the firms which create artificial intelligence (AI) solutions in complex digital platform ecosystems and their success in profiting from innovation. The AI technology endows machines and processes with human-like communication and perception abilities, and with the capacity to learn from data and optimize at scale not accessible to humans. The AI technology solutions depend on the underlying digital solutions for access to data and computation resources. An AI solution is a digital product offered over a complex platformbased architecture that combines internal innovation with complementary assets some of which are controlled by other companies. According to theory, external complementary assets have substantial impact on how much a firm can profit from innovation. How key assets are allocated and controlled is part of a firms business model. The aim of the thesis is to systematize BMs of AI innovators into a typology of patterns and to analyze how AI innovators of different types profit from their innovation. The thesis adopts the qualitative content analysis of the information acquired in e-research. The particular focus of this study is on the AI innovators who are registered in the CrunchBase database, and who were acquired by other companies. The BM information is extracted from the websites of firms and the information about the acquisition. The hypotheses are: H1) Based on the collected data, a small number of distinct patterns can be identified; H2) The motivation for acquisition is to improve not only operational capabilities but also higher-order transformative capabilities, H3) The existing theory can be applied to BM patterns to reason about the emergence of the dominant design. The result of the thesis is a typology of BM patterns and the underpinning analysis framework. The research prospects include verifying the typology and the analysis framework in both case studies and a larger sample of companies and conducting quantitative studies based on surveys and interviews with experts and managers to verify the findings.
en
dc.language
English
-
dc.language.iso
en
-
dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
-
dc.subject
Artificial Intelligence
de
dc.subject
AI
de
dc.subject
AI technology solutions
de
dc.subject
digital platform
de
dc.subject
business model
de
dc.subject
innovation
de
dc.subject
Artificial Intelligence
en
dc.subject
AI
en
dc.subject
AI technology solutions
en
dc.subject
digital platform
en
dc.subject
business model
en
dc.subject
innovation
en
dc.title
How artificial intelligence (AI) innovators profit from innovation in digital platform ecosystems : an explorative business model study
en
dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.identifier.doi
10.34726/hss.2018.57474
-
dc.contributor.affiliation
TU Wien, Österreich
-
dc.rights.holder
Slobodanka Dana Kathrin Tomic
-
dc.publisher.place
Wien
-
tuw.version
vor
-
tuw.thesisinformation
Technische Universität Wien
-
tuw.thesisinformation
Wirtschaftsuniversität Wien
-
tuw.publication.orgunit
E017 - Continuing Education Center
-
dc.type.qualificationlevel
Diploma
-
dc.identifier.libraryid
AC15137599
-
dc.description.numberOfPages
78
-
dc.identifier.urn
urn:nbn:at:at-ubtuw:1-115188
-
dc.thesistype
Masterarbeit
de
dc.thesistype
Master Thesis
en
dc.rights.identifier
In Copyright
en
dc.rights.identifier
Urheberrechtsschutz
de
tuw.advisor.staffStatus
staff
-
item.mimetype
application/pdf
-
item.cerifentitytype
Publications
-
item.openairetype
master thesis
-
item.languageiso639-1
en
-
item.fulltext
with Fulltext
-
item.openaccessfulltext
Open Access
-
item.grantfulltext
open
-
item.openairecristype
http://purl.org/coar/resource_type/c_bdcc
-
crisitem.author.dept
E388 - Institut für Breitbandkommunikation
-
crisitem.author.parentorg
E350 - Fakultät für Elektrotechnik und Informationstechnik