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A framework for identifying and evaluating technologies of interest for effective business strategy: Using text analytics to augment technology forecasting
Rana, Rakesh
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
(Skövde Artificial Intelligence Lab (SAIL))
ORCID iD:
0000-0002-0819-2516
Karlsson, Alexander
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
(Skövde Artificial Intelligence Lab (SAIL))
ORCID iD:
0000-0003-2973-3112
Falkman, Göran
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
(Skövde Artificial Intelligence Lab (SAIL))
ORCID iD:
0000-0001-8884-2154
2017 (English)
In:
5th International Symposium on Computational and Business Intelligence (ISCBI 2017), IEEE, 2017, p. 110-115, article id 8053555
Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
IEEE, 2017. p. 110-115, article id 8053555
Keywords [en]
text analytics, technology intelligence, forecasting, emerging technologies, technology forecasting, trend analysis
National Category
Computer and Information Sciences
Research subject
Skövde Artificial Intelligence Lab (SAIL); INF301 Data Science
Identifiers
URN:
urn:nbn:se:his:diva-14647
DOI:
10.1109/ISCBI.2017.8053555
ISI:
000427097000023
Scopus ID:
2-s2.0-85034807729
ISBN:
978-1-5386-1772-4 (electronic)
ISBN:
978-1-5386-1771-7 (print)
ISBN:
978-1-5386-1770-0 (electronic)
ISBN:
978-1-5386-1773-1 (print)
OAI: oai:DiVA.org:his-14647
DiVA, id:
diva2:1172512
Conference
5th International Symposium on Computational and Business Intelligence (ISCBI), August 11-14, 2017, Dubai, United Arab Emirates
Available from:
2018-01-10
Created:
2018-01-10
Last updated:
2018-06-11
Bibliographically approved
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Rana, Rakesh
Karlsson, Alexander
Falkman, Göran
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modern-language-association-8th-edition
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ieee
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nn-NB
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