Professor Sercan Ozcan
Summary
I am a Professor of Innovation and Technology Management and the Associate Head of Research and Innovation at the University of Portsmouth. I have published over 30 journal articles and conference proceedings in top-ranked journals and received multiple awards for my research and teaching contributions. I have also raised over £600,000 in collaborative research projects with private and public organisations, where I applied my data science and text mining skills to provide innovation intelligence, strategy development, and product design solutions.
My research interests lie in the analysis of large-scale data such as patent documents, social media data, and academic publications for innovation management and policy making. I am one of the few experts who have unique research approaches to examine emerging technologies such as blockchain, AI, and nanotechnology, and to generate technology roadmaps, foresights, and patent analytics. I am passionate about advancing the knowledge and practice of innovation and technology management, and empowering students, researchers, and practitioners with data-driven insights and tools.
My contributions have been recognized through various awards, including the Best Paper Award from the University of Portsmouth in 2018, the Brad Hosler Award for Outstanding Paper in 2015 from PICMET, and the Doctoral Researcher Award in 2014 from ABTA.
For more information on my publications and projects, please refer to the following link: https://researchportal.port.ac.uk/portal/en/persons/sercan-ozcan
Biography
I am currently a Professor of Innovation and Technology Management at the University of Portsmouth. Previously, I worked as an Assistant Professor at the Engineering Management Department, Bahcesehir University, Turkey. I have a PhD degree in Innovation Management area from Aberystwyth University, UK. I have an adjunct role at Bahcesehir University, Turkey. I am on a university-wide research cluster for Artificial Intelligence & its Practical Applications (AIPA).
Research interests
I am interested in areas where machine learning and innovation management fields merge together to provide innovation & technology intelligence. I have expertise in text intelligence, social network analysis and machine learning using patents, publications and social media data. Please see below for the full spectrum of my research interests:
- Text intelligence and machine learning for science, technology and innovation
- Systems of innovation and policymaking
- Innovation network analysis
- Technological forecasting and foresight
- Examination of emerging technologies such as Blockchain, Nanotechnology and Advanced Manufacturing Technologies
Teaching responsibilities
I have a successful record of teaching in a number of areas such as Innovation Management, Strategic Management and Research Methods. I currently coordinate MSc modules for Innovation Management and Research Methods. I have teaching experience in other areas such as Marketing, Project Management and Organizational Behaviour.
Media availability
I am happy to take calls and emails from the media on my research and am aware of the needs to respond to journalists in a timely manner. Please contact me directly on either sercan.ozcan@port.ac.uk or 02392844189.
Research outputs
2024
Technological adoptions and sector-specific innovations in a low-tech environment: key actors and sources of R&D in InsurTech
Ozcan, S., Saritas, O., Vogel, D. B.
29 Nov 2024, In: Scientometrics, 20p.
Exploring the dynamic capabilities of technology provider ecosystems: a study of smart manufacturing projects
Ozcan, S., Reim, W., Simms, C., Stornelli, A.
1 Feb 2024, In: Technovation. 130, 16p., 102925
2023
A product innovation readiness level framework
Ozcan, S., Simms, C., Stornelli, A.
26 Oct 2023, In: IEEE Transactions on Engineering Management
Examination of overlapping boundaries of innovation systems using deep neural network and natural language processing
Forner, D., Ozcan, S.
18 Sep 2023, In: IEEE Transactions on Engineering Management, 15p.
Text mining approach for identifying product ideas and trends based on crowdfunding projects
Boye, D., Fajana, O., Ozcan, S.
16 Jun 2023, In: IEEE Transactions on Engineering Management, 16p.
Technological forecasting based on estimation of word embedding matrix using LSTM networks
Gozuacik, N., Ozcan, S., Sakar, C. O.
1 Jun 2023, In: Technological Forecasting and Social Change. 191, 16p., 122520
The theory of technological response and progress in chaos
Ozcan, S., Saritas, O.
21 Apr 2023, In: Foresight
ChatGPT: what the law says about who owns the copyright of AI-generated content
Ozcan, O., Ozcan, S., Sekhon, J.
17 Apr 2023, In: The Conversation