IDEAS home Printed from https://ideas.repec.org/p/dar/wpaper/136215.html
   My bibliography  Save this paper

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

Author

Listed:
  • 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/
    as

    Download full text from publisher

    File URL: https://link.springer.com/article/10.1007/s11042-021-10972-3
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    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. 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.
    4. 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).
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. repec:dar:wpaper:130792 is not listed on IDEAS
    2. Christian Mühlroth & Laura Kölbl & Michael Grottke, 2023. "Innovation signals: leveraging machine learning to separate noise from news," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(5), pages 2649-2676, May.
    3. Marinković, Milan & Al-Tabbaa, Omar & Khan, Zaheer & Wu, Jie, 2022. "Corporate foresight: A systematic literature review and future research trajectories," Journal of Business Research, Elsevier, vol. 144(C), pages 289-311.
    4. Spaniol, Matthew J. & Rowland, Nicholas J., 2022. "Business ecosystems and the view from the future: The use of corporate foresight by stakeholders of the Ro-Ro shipping ecosystem in the Baltic Sea Region," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    5. Kajikawa, Yuya & Mejia, Cristian & Wu, Mengjia & Zhang, Yi, 2022. "Academic landscape of Technological Forecasting and Social Change through citation network and topic analyses," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    6. Ramzi M. Altarawneh, 2023. "The Effect of Strategic Vigilance on Organizational Excellence the Mediating Role of Strategic Foresight," International Journal of Business and Management, Canadian Center of Science and Education, vol. 18(3), pages 1-52, June.
    7. Nazemi, Kawa & Burkhardt, Dirk & Kock, Alexander, 2024. "Visual analytics for technology and innovation management: An interaction approach for strategic decision making," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 144741, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    8. Hakmaoui, Abdelati & Oubrich, Mourad & Calof, Jonathan & El Ghazi, Hamid, 2022. "Towards an anticipatory system incorporating corporate foresight and competitive intelligence in creating knowledge: a longitudinal Moroccan bank case study," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    9. 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).
    10. Taferner, Stefan Gerhard, 2023. "Strategic Foresight Capability and its Impact on Firm Performance: A systematic, AI-based Literature Review," Junior Management Science (JUMS), Junior Management Science e. V., vol. 8(3), pages 658-681.
    11. Ali Zackery & Joseph Amankwah-Amoah & Zahra Heidari Darani & Shiva Ghasemi, 2022. "COVID-19 Research in Business and Management: A Review and Future Research Agenda," Sustainability, MDPI, vol. 14(16), pages 1-32, August.
    12. Heiskanen, Aleksi & Hurmekoski, Elias & Toppinen, Anne & Näyhä, Annukka, 2022. "Exploring the unknowns – State of the art in qualitative forest-based sector foresight research," Forest Policy and Economics, Elsevier, vol. 135(C).
    13. Alessandro Fergnani & Thomas J. Chermack, 2021. "The resistance to scientific theory in futures and foresight, and what to do about it," Futures & Foresight Science, John Wiley & Sons, vol. 3(3-4), September.
    14. Rathi, Sawan & Majumdar, Adrija & Chatterjee, Chirantan, 2024. "Did the COVID-19 pandemic propel usage of AI in pharmaceutical innovation? New evidence from patenting data," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    15. Haarhaus, Tim & Liening, Andreas, 2020. "Building dynamic capabilities to cope with environmental uncertainty: The role of strategic foresight," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    16. Choi, Hyunhong & Woo, JongRoul, 2022. "Investigating emerging hydrogen technology topics and comparing national level technological focus: Patent analysis using a structural topic model," Applied Energy, Elsevier, vol. 313(C).
    17. Brougham, David & Haar, Jarrod, 2020. "Technological disruption and employment: The influence on job insecurity and turnover intentions: A multi-country study," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    18. Marisela Rodriguez-Salvador & Leonardo Azael Garcia-Garcia, 2018. "Additive Manufacturing in Healthcare," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 12(1), pages 47-55.
    19. Ebadi, Ashkan & Auger, Alain & Gauthier, Yvan, 2022. "Detecting emerging technologies and their evolution using deep learning and weak signal analysis," Journal of Informetrics, Elsevier, vol. 16(4).
    20. Sakellariou, Evy & Karantinou, Kalipso & Goffin, Keith, 2020. "From user insights to user foresights: Applying video-based ethnographic narratives and user innovation in NPD," Technological Forecasting and Social Change, Elsevier, vol. 153(C).
    21. Metz, Ashley & Hartley, Paul, 2020. "Scenario development as valuation: Opportunities for reflexivity," Technological Forecasting and Social Change, Elsevier, vol. 155(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dar:wpaper:136215. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dekanatssekretariat (email available below). General contact details of provider: https://edirc.repec.org/data/ivthdde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.