TY  - CONF
A1  - Leachu, Stefan
A1  - Clemens, Florian
A1  - Stich, Volker
T1  - Development Of A Pre-Competitive Business Model For AI-Based Autonomous Technology Scouting
T2  - Proceedings of the Conference on Production Systems and Logistics (CPSL)
N2  - Technology management can significantly influence the strategic decisions of a company and thus cause success or failure. Basic templates for technology management are technology radars as well as the determination of the technology readiness level (TRL) to be able to evaluate the maturity of newly deployed technologies (e.g., newcomer vs. established). The radars, as well as the TRL, are identified in time-consuming, manual research by subject matter experts from external consultancies. This process is often repeated due to the further development and new development of technologies so that the necessary research becomes an ongoing task. The TechRad research project, therefore, aims to automate the identification of the TRL as well as technology radars using web crawling and Natural Language Processing (NLP). To commercialize the pre-competitive prototype, the development of a pre-competitive business model is the goal of this paper. Based on customer analyses, a target group definition is created. Based on user interviews, the precompetitive business model will be detailed in a four-step approach using a business model canvas and a value proposition canvas.
KW  - technology scouting
KW  - business model
KW  - autonomous technology scouting
KW  - text mining
KW  - natural language processing
KW  - artificial intelligence
KW  - rev
Y1  - 2022
UR  - https://epub.fir.de/frontdoor/index/index/docId/1408
UR  - https://www.repo.uni-hannover.de/handle/123456789/12261
SN  - 2701-6277
SP  - 612
EP  - 621
CY  - Vancouver
ER  -