Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study

Jan Kinne, Janna Axenbeck · 2020 · Scientometrics

Summary. This paper develops a web mining framework to map innovation ecosystems by analyzing firm websites at scale. Testing on 2.4 million German firms, the authors extract innovation-related information from websites to identify products, services, and business cooperation. They find systematic biases: larger, older, urban, and patenting firms are overrepresented because they maintain more sophisticated websites, while low broadband availability excludes some firms entirely. The framework successfully maps Berlin's artificial intelligence sector and demonstrates web mining as a cost-effective alternative to traditional innovation surveys.

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@article{kinne-2020-web-mining-innovation-ecosystem-mapping,
  title   = {Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study},
  author  = {Jan Kinne and Janna Axenbeck},
  journal = {Scientometrics},
  year    = {2020},
  doi     = {10.1007/s11192-020-03726-9},
  url     = {https://doi.org/10.1007/s11192-020-03726-9}
}

TY  - JOUR
TI  - Web mining for innovation ecosystem mapping: a framework and a large-scale pilot study
AU  - Jan Kinne
AU  - Janna Axenbeck
JO  - Scientometrics
PY  - 2020
DO  - 10.1007/s11192-020-03726-9
UR  - https://doi.org/10.1007/s11192-020-03726-9
ER  - 

Details

DOI

10.1007/s11192-020-03726-9

Countries

Germany

Regions

Europe

Categories

innovation-networks, rural-data-and-definitions, broadband-and-digital, general-innovation

Added

2026-04-28