@article{Nazemi2021,

title = {Visual analytics for Technology and Innovation Management},

author = {Kawa Nazemi and Dirk Burkhardt and Alexander Kock},

url = {https://link.springer.com/content/pdf/10.1007/s11042-021-10972-3.pdf, Open Access PDF},

doi = {10.1007/s11042-021-10972-3},

issn = {1573-7721},

year  = {2021},

date = {2021-05-20},

urldate = {2021-05-20},

journal = {Multimedia Tools and Applications},

volume = {1198},

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.},

note = {Springer Nature},

keywords = {},

pubstate = {published},

tppubtype = {article}

}