Biography
Vardan is Assistant Professor of Marketing. His research is at the intersection of marketing and innovation. Substantively, his work addresses issues at different stages of innovation development, including innovation idea selection, development and speed, innovation diffusion, and the use of consumer attitudinal metrics to guide marketing decisions after innovation commercialization. He employs econometrical models and dynamic optimization tools to provide managerial insights in these areas.
Vardan’s academic work has received prestigious awards, such as the Amazon Research Awards in Advertising and the Marketing Science Institute research award. He has also presented his work at major conferences in the field, such as INFORMS Marketing Science, Marketing Dynamics, and EMAC.
Vardan teaches strategic marketing decision-making to data science students. He also supervises students working on projects with companies in the area of data science and marketing analytics and coaches master students doing their research in this area for their master thesis.
Keywords: Marketing & Innovation. Innovation Development. Idea Selection. Innovation Speed. Customer Mindset Metrics.
- avagyan@ese.eur.nl
More information
Work
- Vardan Avagyan, Nuno Camacho, Wim A. Van der Stede & Stefan Stremersch (2021) - Financial projections in innovation selection: The role of scenario presentation, expertise, and risk - International Journal of Research in Marketing, 39 (3), 907-926 - doi: 10.1016/j.ijresmar.2021.10.009 - [link]
- Vardan Avagyan, Vardit Landsman - Schwartz & Stefan Stremersch (2017) - Marketing Models for the Life Sciences Industry
- Vardan Avagyan, M Esteban-Bravo & J Vidal-Sanz (2016) - Riding successive product diffusion waves. Building a tsunami via upgrade-rebate programs - International Journal of Research in Marketing, 33 (4), 780-796 - doi: 10.1016/j.ijresmar.2016.01.007
- Vardan Avagyan, M Esteban-Bravo & J Vidal-Sanz (2014) - Licensing radical product innovations to speed up the diffusion - European Journal of Operational Research, 239 (2), 542-555 - doi: 10.1016/j.ejor.2014.05.031 - [link]
Seminar Case Studies in Data Science and
- Year
- 2024
- Course Code
- FEM11153
Strategic Marketing Decision Making
- Year
- 2024
- Course Code
- FEM11150
Master's Thesis Data Science and Market
- Year
- 2024
- Course Code
- FEM11155
Internship Hub
- Year
- 2024
- Course Code
- FEB63017
Thesis Hub Master Economics & Business
- Year
- 2024
- Course Code
- FEM61007H