3D printing and sustainability: A web analysis approach


Dehghan, Robert ; Schmidt, Sebastian ; Schwierzy, Julian



Document Type: Conference presentation
Year of publication: 2023
Conference title: Informatik Festival 2023, 53. Jahrestagung der Gesellschaft für Informatik
Location of the conference venue: Berlin, Germany
Date of the conference: 26.-29.09.2023
Related URLs:
Publication language: English
Institution: Business School > Mittelstandsforschung u. Entrepreneurship (Woywode 2007-)
Außerfakultäre Einrichtungen > Institut für Mittelstandsforschung (ifm)
Subject: 330 Economics
Keywords (English): 3D printing , sustainability , web text mining , deep learning
Abstract: Besides manifold advantages in production, 3D printing is also often touted as a green technology. However, the quantitative connection between its use and sustainability is unclear so far. In our study, we examined all companies in the DACH region applying a web analytics approach. Using web scraping and deep learning, we assessed the 3D printing and sustainability intensity for each company. Our results suggest that 3D printing companies are significantly more likely to present themselves as sustainable than other companies. However, as our analysis is purely descriptive, correlations and causality still need to be clarified in future research. Our web mining methodology is a promising approach to study economic phenomena with an environmental dimension.







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