Usage of Unconventional Data Sources for Market Intelligence (MI) in the Field of Additive Manufacturing (AM) - Expert Networks, Technology Territories and Trends

dc.creatorZiegler, S.
dc.creatorSchleifenbaum, J.H.
dc.date.accessioned2024-03-27T03:22:37Z
dc.date.available2024-03-27T03:22:37Z
dc.date.issued2023
dc.description.abstractThe geographic expansion of the markets for AM increasingly confronts companies with greater competitiveness due to the globalization. In addition, market participants are facing rapid changes in the business environment - due to new information and communication technologies. Companies only have a chance to hold their market position if they quickly adopt market changes. Therefore, the decision-making process needs to be accelerated by on-demand information provision. MI offers one possibility to meet these requirements, but typically based on external unstructured data for market and competitive evaluation, which makes it cost and time consuming. A specific investigation of such data sources related to MI for systematic use within the AM markets is being carried out. For this purpose, different data sources (e.g. LinkedIn) will be identified, analysed with focus on information synthesis using text mining and their suitability for the evaluation of expert networks, technology territories and trends be presented.
dc.description.departmentMechanical Engineering
dc.identifier.urihttps://hdl.handle.net/2152/124463
dc.identifier.urihttps://doi.org/10.26153/tsw/51071
dc.language.isoen_US
dc.publisherUniversity of Texas at Austin
dc.relation.ispartof2023 International Solid Freeform Fabrication Symposium
dc.rights.restrictionOpen
dc.subjectadditive manufacturing
dc.subjecttrend analysis
dc.subjectmarket intelligence
dc.subjecttext mining
dc.titleUsage of Unconventional Data Sources for Market Intelligence (MI) in the Field of Additive Manufacturing (AM) - Expert Networks, Technology Territories and Trends
dc.typeConference paper

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