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Visual analytics for technology and innovation management: An interaction approach for strategic decision making

Nazemi, Kawa ; Burkhardt, Dirk ; Kock, Alexander (2024)
Visual analytics for technology and innovation management: An interaction approach for strategic decision making.
In: Multimedia Tools and Applications, 2022, 81 (11)
doi: 10.26083/tuprints-00023485
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Visual analytics for technology and innovation management: An interaction approach for strategic decision making
Language: English
Date: 30 April 2024
Place of Publication: Darmstadt
Year of primary publication: 2022
Place of primary publication: Dordrecht
Publisher: Springer Science
Journal or Publication Title: Multimedia Tools and Applications
Volume of the journal: 81
Issue Number: 11
DOI: 10.26083/tuprints-00023485
Corresponding Links:
Origin: Secondary publication DeepGreen
Abstract:

The awareness of emerging trends is essential for strategic decision making because technological trends can affect a firm’s competitiveness and market position. The rise of artificial intelligence methods allows gathering new insights and may support these decision-making processes. However, it is essential to keep the human in the loop of these complex analytical tasks, which, often lack an appropriate interaction design. Including special interactive designs for technology and innovation management is therefore essential for successfully analyzing emerging trends and using this information for strategic decision making. A combination of information visualization, trend mining and interaction design can support human users to explore, detect, and identify such trends. This paper enhances and extends a previously published first approach for integrating, enriching, mining, analyzing, identifying, and visualizing emerging trends for technology and innovation management. We introduce a novel interaction design by investigating the main ideas from technology and innovation management and enable a more appropriate interaction approach for technology foresight and innovation detection.

Uncontrolled Keywords: Visual analytics, Information visualization, Interaction design, Visual trend analytics, Emerging trend identification, Technology management, Innovation management, Multimedia interaction
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-234851
Classification DDC: 300 Social sciences > 330 Economics
600 Technology, medicine, applied sciences > 600 Technology
600 Technology, medicine, applied sciences > 650 Management
Divisions: 01 Department of Law and Economics > Betriebswirtschaftliche Fachgebiete > Fachgebiet Technologie- und Innovationsmanagement
Date Deposited: 30 Apr 2024 12:47
Last Modified: 30 Apr 2024 12:47
SWORD Depositor: Deep Green
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23485
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