Personal details

Dr Ozgur Dedehayir
Postdoctoral Research Fellow
QUT Business School,
Discipline *
Business and Management
+61 7 3138 1323
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Doctor of Philosophy (Tampere University of Technology, Finland)

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Educational background:

  • Ph.D., Technology Strategy (Distinction), Tampere University of Technology, Finland, 2010
  • M.Sc., Industrial Management (Distinction), Tampere University of Technology, Finland, 2006
  • B.E., Mechanical Engineering, University of Melbourne, Australia, 1997
  • Secondary, Melbourne High School, Australia, 1993


Industry experience:

  • Production Engineer, Robert Bosch, Australia (Jan. 1998 – Jul. 2003)
* Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008


My research positions the organization within its systemic context, anchoring it in an encompassing network of organizations that produces holistic systems, ranging from customized, one-off or small batched capital goods items such as aircraft engines and offshore oil platforms (referred to as complex product systems (CoPS)), to modular, mass-produced commodity product systems such as PCs (personal computers) and automobiles. More specifically, I view the organizational network as an innovation ecosystem, a theoretical lens that has garnered burgeoning interest among both practitioners and scholars over the last two decades in understanding the collaborative (and competitive) position of organizations in such networks . The innovation ecosystem framework acknowledges different organizational types to co-exist and contribute to collective value creation, comprising, among others, suppliers, intermediaries, complementors, financial and research institutions, and regulators. Examples of innovation ecosystems include those famously built by keystone organizations such as Wal-Mart, Microsoft, Apple, and Mozilla. In light of the overarching aim of my research, I focus on the dynamics of ecosystem change, and purport to study this dynamics through two research programs. The first program aims to measure the rate of change of the continuously evolving innovation ecosystem, while the second aims to analyze the reconfiguration of the ecosystem subject to disruptive change.

This information has been contributed by Dr Ozgur Dedehayir.


For publications by this staff member, visit QUT ePrints, the University's research repository.