Leachu, S.; Clemens, F.; Stich, V.: Development of a Pre-Competitive Business Model for AI-Based Autonomous Technology Scouting. In: Herberger, D.; Hübner, M. (Eds.): Proceedings of the Conference on Production Systems and Logistics: CPSL 2022. Hannover : publish-Ing., 2022, S. 612-621. DOI: https://doi.org/10.15488/12163
Abstract: | |
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. | |
License of this version: | CC BY 3.0 DE |
Document Type: | BookPart |
Publishing status: | publishedVersion |
Issue Date: | 2022 |
Appears in Collections: | Proceedings CPSL 2022 Proceedings CPSL 2022 |
pos. | country | downloads | ||
---|---|---|---|---|
total | perc. | |||
1 | ![]() |
Germany | 107 | 40.23% |
2 | ![]() |
United States | 30 | 11.28% |
3 | ![]() |
Iran, Islamic Republic of | 9 | 3.38% |
4 | ![]() |
Korea, Republic of | 8 | 3.01% |
5 | ![]() |
Italy | 8 | 3.01% |
6 | ![]() |
Hungary | 8 | 3.01% |
7 | ![]() |
Taiwan | 7 | 2.63% |
8 | ![]() |
Sweden | 7 | 2.63% |
9 | ![]() |
India | 6 | 2.26% |
10 | ![]() |
Austria | 6 | 2.26% |
other countries | 70 | 26.32% |
Hinweis
Zur Erhebung der Downloadstatistiken kommen entsprechend dem „COUNTER Code of Practice for e-Resources“ international anerkannte Regeln und Normen zur Anwendung. COUNTER ist eine internationale Non-Profit-Organisation, in der Bibliotheksverbände, Datenbankanbieter und Verlage gemeinsam an Standards zur Erhebung, Speicherung und Verarbeitung von Nutzungsdaten elektronischer Ressourcen arbeiten, welche so Objektivität und Vergleichbarkeit gewährleisten sollen. Es werden hierbei ausschließlich Zugriffe auf die entsprechenden Volltexte ausgewertet, keine Aufrufe der Website an sich.