Pathways to a drug: A mixed methods analysis of emergence

Arho Suominen, Ozgur Dedehayir

Research output: Contribution to journalArticleScientificpeer-review

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 languageEnglish
Article number1740011
Number of pages12
JournalInternational Journal of Innovation Management
Volume21
Issue number8
DOIs
Publication statusPublished - 1 Dec 2017
MoE publication typeA1 Journal article-refereed
EventISPIM Innovation Conference 2017: Composing the Innovation Symphony - Vienna, Austria
Duration: 18 Jun 201721 Jun 2017

Fingerprint

Ecosystems
Data mining
Pathway
Ecosystem
Mixed methods
Drugs
Quantitative methods
Network model
Interaction
Technological development
Qualitative methods
Technology management
Decision maker
Node
Breast cancer
Lock-in

Keywords

  • technology trajectories
  • unsupervised learning
  • technological diversity
  • innovation ecosystem
  • mixed methods
  • taxol
  • technology analysis

Cite this

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Pathways to a drug : A mixed methods analysis of emergence. / Suominen, Arho; Dedehayir, Ozgur.

In: International Journal of Innovation Management, Vol. 21, No. 8, 1740011, 01.12.2017.

Research output: Contribution to journalArticleScientificpeer-review

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