P. Baaden, Carolin Block, et al.: Analysing clustering approaches for the evaluation of emerging technologies within the domain of precision agriculture

Bio Information

Carolin Block

Philipp Baaden

Carolin Block and Philipp Baaden are Ph.D. students at the University of Bonn at the chair for technology and innovation management in agribusiness led by Prof. Stefanie Bröring. They both work in the research group for strategic technology management which focusses on the identification and evaluation of emerging technologies striving for sustainable transition. While Philipp’s research strengths (M.Sc. – Business Mathematics) rely on the connection between data-driven methods and innovation management, Caro’s (M.Sc. – Agricultural and Food

Presentation Abstract

Increasing calls for a transition towards a more sustainable economy have led to sustainability-oriented innovations (SOIs). For the development of SOIs, various technologies are emerging that go along with, inter alia, high uncertainties but might have the potential to transform an existing industry. Thus, identifying and evaluating emerging sustainability-oriented technologies is crucial both for companies to evaluate business opportunities and for researchers and policy makers to support the transition towards a more sustainable economy.

Applying semantic similarity analysis and unsupervised machine learning algorithms on scientific research articles in the field of precision agriculture (PA); a case example where several SOIs occur, we create topic clusters to evaluate fast growth and coherence of technologies within PA. Here, we compare two different approaches. Namely, we use spectral clustering and hierarchical clustering. To evaluate, analyse and compare the clusters, we apply different cluster labelling approaches and analyse the evolution of the clusters over time. Our results show that spectral clustering seems to outperform hierarchical clustering in the field of PA.

The presented research was conducted in cooperation with the Fraunhofer Institute for Technological Trend Analysis INT. As co-researchers we would like to name Dr. Michael Wustmans, Dr. Marcus John and Prof. Dr. Stefanie Bröring and thank them.


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