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Visual Analytics for Technology and Innovation Management: An Interaction Approach for Strategic Decision Making

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  • Nazemi, Kawa
  • Burkhardt, Dirk
  • Kock, Alexander

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.

Suggested Citation

  • Nazemi, Kawa & Burkhardt, Dirk & Kock, Alexander, 2022. "Visual Analytics for Technology and Innovation Management: An Interaction Approach for Strategic Decision Making," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 136215, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:136215
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/136215/
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    File URL: https://link.springer.com/article/10.1007/s11042-021-10972-3
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    1. Bonino, Dario & Ciaramella, Alberto & Corno, Fulvio, 2010. "Review of the state-of-the-art in patent information and forthcoming evolutions in intelligent patent informatics," World Patent Information, Elsevier, vol. 32(1), pages 30-38, March.
    2. Gordon, Adam Vigdor & Ramic, Mirza & Rohrbeck, René & Spaniol, Matthew J., 2020. "50 Years of corporate and organizational foresight: Looking back and going forward," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    3. Erzurumlu, S. Sinan & Pachamanova, Dessislava, 2020. "Topic modeling and technology forecasting for assessing the commercial viability of healthcare innovations," Technological Forecasting and Social Change, Elsevier, vol. 156(C).
    4. Rohrbeck, René & Kum, Menes Etingue, 2018. "Corporate foresight and its impact on firm performance: A longitudinal analysis," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 105-116.
    5. Christian Mühlroth & Michael Grottke, 2018. "A systematic literature review of mining weak signals and trends for corporate foresight," Journal of Business Economics, Springer, vol. 88(5), pages 643-687, July.
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