Scientific Publications

@inbook{Nazemi2022,

title = {Visual Analytics for Strategic Decision Making in Technology Management},

author = {Kawa Nazemi and Tim Feiter and Lennart B. Sina and Dirk Burkhardt and Alexander Kock},

editor = {Boris Kovalerchuk and Kawa Nazemi and Răzvan Andonie and Nuno Datia and Ebad Banissi},

doi = {10.1007/978-3-030-93119-3_2},

isbn = {978-3-030-93119-3},

year  = {2022},

date = {2022-06-05},

urldate = {2022-06-22},

booktitle = {Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery},

pages = {31--61},

publisher = {Springer International Publishing},

address = {Cham},

chapter = {1},

abstract = {Strategic foresight, corporate foresight, and technology management enable firms to detect discontinuous changes early and develop future courses for a more sophisticated market positioning. The enhancements in machine learning and artificial intelligence allow more automatic detection of early trends to create future courses and make strategic decisions. Visual Analytics combines methods of automated data analysis through machine learning methods and interactive visualizations. It enables a far better way to gather insights from a vast amount of data to make a strategic decision. While Visual Analytics got various models and approaches to enable strategic decision-making, the analysis of trends is still a matter of research. The forecasting approaches and involvement of humans in the visual trend analysis process require further investigation that will lead to sophisticated analytical methods. We introduce in this paper a novel model of Visual Analytics for decision-making, particularly for technology management, through early trends from scientific publications. We combine Corporate Foresight and Visual Analytics and propose a machine learning-based Technology Roadmapping based on our previous work.},

keywords = {Artificial Intelligence, Machine Leanring, Visual Analytical Reasoning, Visual Analytics, Visual Knowledge Discovery},

pubstate = {published},

tppubtype = {inbook}

}