<div class="csl-bib-body">
<div class="csl-entry">Winkler, D. (2018). <i>Revealing the disruptive potential of new technologies at early stages in the innovation process</i> [Master Thesis, Technische Universität Wien; Wirtschaftsuniversität Wien]. reposiTUm. https://doi.org/10.34726/hss.2018.57475</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2018.57475
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/7685
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dc.description.abstract
Technology is key. The current digital era is characterised by the unique coevolution of disruptive technologies, fostering the incredible pace of change in information system and in algorithm-driven decision-making. The intelligent integration of emerging technologies to new technologies through open innovation will collectively remove obstacles of adoption and induce striking paradigm shifts in nearly every business by generating disruptive innovations in form of highly competitive products, processes, services, or the development of new markets reinventing the rules of business of centennial industry sectors. The present thesis puts the development of a conceptual integrated process framework for the strategic and early detection of new technologies in the form of technically feasible, sufficiently mature and superior product concepts with high disruption potential centre stage. These novel technologies are assumed to emerge from the smart recombination or unification of promising technologies. A taxonomy based on the interaction of technologies, defined as bundles of value chains, allows the designing of subprocesses in this New Product Development Process. The proposed framework incorporates (a) tools for strategic market opportunity identification (Technological Competence Leveraging, the Technology-Push Lead User Concept, and the Method for Technology-Push Roadmapping), (b) tools for the conceptualization and strategic solution of technical systems and ignition of creativity in the problemsolving process, and (c) Artificial Intelligence and Virtual Reality methodologies for enhancing the preceding techniques and the communication in collaboration processes in order to account for the peoples global dispersion due to increased mobility. The presented framework intends to contribute to the theory of technological innovation management by providing a clearly structured and technologically powerful procedure for steering a companys future technological landscape with regard to optimally placed technological investments. It aims to primarily address SMEs and independent research centres due to its strong orientation towards technology-push concepts and pronounced involvement of strategic collaboration networks, although strong market-pull aspects are included to synthesize respective advantages of both approaches. As the thesis remains on a conceptional level, empirical validation of the process framework through implementation in distinct organisational structures is indicated. Moreover, its application needs to be seen and discussed in a broader context through the inclusion of relevant key enablers of innovation like organisational structure, company culture or innovation promoters of the focal company which is recommended to be subject of further research.
en
dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
Technology-push Roadmapping
de
dc.subject
Technology-push Lead User Approach
de
dc.subject
TRIZ
de
dc.subject
Artificial Intelligence
de
dc.subject
technological innovation management
de
dc.subject
Virtual Reality
de
dc.subject
disruptive technological innovation
de
dc.subject
Technology-push Roadmapping
en
dc.subject
Technology-push Lead User Approach
en
dc.subject
TRIZ
en
dc.subject
Artificial Intelligence
en
dc.subject
technological innovation management
en
dc.subject
Virtual Reality
en
dc.subject
disruptive technological innovation
en
dc.title
Revealing the disruptive potential of new technologies at early stages in the innovation process
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.2018.57475
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dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Doris Winkler
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dc.publisher.place
Wien
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tuw.version
vor
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tuw.thesisinformation
Technische Universität Wien
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tuw.thesisinformation
Wirtschaftsuniversität Wien
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tuw.publication.orgunit
E017 - Continuing Education Center
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dc.type.qualificationlevel
Diploma
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dc.identifier.libraryid
AC15138681
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dc.description.numberOfPages
129
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dc.identifier.urn
urn:nbn:at:at-ubtuw:1-115244
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dc.thesistype
Masterarbeit
de
dc.thesistype
Master Thesis
en
dc.rights.identifier
In Copyright
en
dc.rights.identifier
Urheberrechtsschutz
de
tuw.advisor.staffStatus
external
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item.fulltext
with Fulltext
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item.cerifentitytype
Publications
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item.mimetype
application/pdf
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item.openairecristype
http://purl.org/coar/resource_type/c_bdcc
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item.languageiso639-1
en
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item.openaccessfulltext
Open Access
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item.openairetype
master thesis
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item.grantfulltext
open
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crisitem.author.dept
E105 - Institut für Stochastik und Wirtschaftsmathematik