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Inter-technology relationship networks : Arranging technologies through text mining

Title data

Hofmann, Peter ; Keller, Robert ; Urbach, Nils:
Inter-technology relationship networks : Arranging technologies through text mining.
In: Technological Forecasting and Social Change. (2019) .
ISSN 0040-1625
DOI: https://doi.org/10.1016/j.techfore.2019.02.009

Abstract in another language

Ongoing advances in digital technologies – which enable new products, services, and business models – have fundamentally affected business and society through several waves of digitalization. When analyzing digital technologies, a dynamic system or an ecosystem model that represents interrelated technologies is beneficial owing to the systemic character of digital technologies. Using an assembly-based process model for situational method engineering, and following the design science research paradigm, we develop an analytical method to generate technology-related network data that retraces elapsed patterns of technological change. We consider the technological distances that characterize technologies’ proximities and dependencies. We use established text mining techniques and draw from technology innovation research as justificatory knowledge. The proposed method processes textual data from different information sources into an analyzable and readable inter-technology relationship network. To evaluate the method, we use exemplary digital technologies from the big data analytics domain as an application scenario.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: Text Mining; Network; Tech Mining; Patent Mining; Method Construction
Institutions of the University: Faculties > Faculty of Law, Business and Economics > Department of Business Administration
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Informations Systems and sustainable IT management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Informations Systems and sustainable IT management > Professorship Business Informations Systems and sustainable IT management- Univ.-Prof. Dr. Gilbert Fridgen
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and strategic IT management
Faculties > Faculty of Law, Business and Economics > Department of Business Administration > Professorship Business Information Systems and strategic IT management > Professorship Business Informations Systems and strategic IT management - Univ.-Prof. Dr. Nils Urbach
Research Institutions
Research Institutions > Affiliated Institutes
Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering
Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
300 Social sciences > 330 Economics
Date Deposited: 21 Mar 2019 07:06
Last Modified: 21 Mar 2019 07:06
URI: https://eref.uni-bayreuth.de/id/eprint/48055