Abstract
Despite the calls for a broader methodological base, the technology management and the forecasting literature remain short of studies synthesising quantitative and qualitative methods. This paper addresses this gap by employing a mixed method approach to study the case of Taxol, a revolutionary drug developed to fight ovarian and breast cancer. The paper shows in detail how a data mining-based network model can be synthesised with qualitatively created event narrative to understand the development of a technology and its ecosystem. As a result, the paper shows an npartite network of Taxol drug ecosystem containing over 4,000 nodes and 11,000 edges. The network enables decision makers to understand the process, interaction of actors and lock-in mechanism in the process of technological development.
| Original language | English |
|---|---|
| Article number | 1740011 |
| Number of pages | 12 |
| Journal | International Journal of Innovation Management |
| Volume | 21 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 1 Dec 2017 |
| MoE publication type | A1 Journal article-refereed |
| Event | ISPIM Innovation Conference 2017: Composing the Innovation Symphony - Vienna, Austria Duration: 18 Jun 2017 → 21 Jun 2017 |
Keywords
- technology trajectories
- unsupervised learning
- technological diversity
- innovation ecosystem
- mixed methods
- taxol
- technology analysis
UN SDGs
This output contributes to the following Sustainable Development Goal(s)
