Abstract
Technology positions of firms may determine their competitive advantages and innovation capabilities. While a tangible understanding of technology positions can inform competitive intelligence, they are heterogeneous, intangible and difficult to analyze. We introduce a data-driven network visualization and analysis methodology to assess and compare the technology positions of firms for competitive intelligence analytics based on patent data. This article demonstrates the methodology via comparative analyses of multiple firms for strategic insights on innovation and competition. © 2019, © 2019 Taylor & Francis.
| Original language | English |
|---|---|
| Pages (from-to) | 198-212 |
| Journal | Information Systems Management |
| Volume | 37 |
| Issue number | 3 |
| Online published | 2 Jul 2020 |
| DOIs | |
| Publication status | Published - 2020 |
| Externally published | Yes |
Research Keywords
- automotive
- autonomous vehicle
- general motors
- network analysis
- Patent data
- visualization
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