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Definition of 3D Printing Parameters by the Design of Experiments to Characterise Carbon Fibre-Reinforced Polyamide Read chapter Read first chapter

2024 | OriginalPaper | Chapter

Open Data Strategy in Competitive Intelligence: Analyzing the Scientific Trends

Authors : Alfredo Garcia-Varona, Izaskun Alvarez-Meaza, Rosa Maria Rio-Belver, Jon Borregan-Alvarado

Published in: Proceedings of the 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023)

Publisher: Springer Nature Switzerland

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Abstract

Competitive intelligence (CI) has been consolidated as a discipline for companies to obtain and analyze critical information to help make strategic decisions, let us now consider the connection between CI and one of the possible origins of the obtained information: open data (OD). The existing scientific literature has been analyzed using bibliometric techniques and it could be assumed an evolution from CI to business intelligence accentuated by the increasing number of open data bases.

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Literature
Bastian, M., Heimann, S., Jacomy, M.: Gephi: an open source software for exploring and manipulating networks. In: International AAAI Conference on Weblogs and Social Media (2009)
Mazon, J.N., Zubcoff, J.J., Garrigos, I., Espinosa, R., Rodriguez, R.: Open business intelligence: on the importance of data quality awareness in user-friendly data mining. In: Proceedings of the 2012 Joint EDBT/ICDT Workshops, EDBT-ICDT 2012, pp. 144–147 (2012). https://​doi.​org/​10.​1145/​2320765.​2320812
Ravat, F., Song, J., Teste, O.: Designing multidimensional cubes from warehoused data and linked open data. In: IEEE Tenth International Conference on Research Challenges in Information Science (RCIS). Grenoble, France (2016)
Metadata
Title
Open Data Strategy in Competitive Intelligence: Analyzing the Scientific Trends
Authors
Alfredo Garcia-Varona
Izaskun Alvarez-Meaza
Rosa Maria Rio-Belver
Jon Borregan-Alvarado
Copyright Year
2024
Book
Proceedings of the 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023)

Print ISBN: 978-3-031-57995-0

Electronic ISBN: 978-3-031-57996-7

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-3-031-57996-7_36

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