Professor Oguz A. Acar is a Chair in Marketing at King's Business School, King's College London. He is also a Research Affiliate at the Laboratory for Innovation Science at Harvard University and an Expert in Behavioural Sciences and Innovation at the World Economic Forum.

Oguz's current research focuses on the nexus of generative AI, business and education. His previous research explored the creation, evaluation and adoption of innovation. This research is published in leading academic journals across different disciplines such as the Journal of Management, Journal of Marketing Research, Psychological Science, and Research Policy. He also regularly publishes in executive-oriented outlets such as Harvard Business Review and MIT Sloan Management Review. Recently, he co-edited The Oxford Handbook of Individual Differences in Organizational Contexts. Oguz has secured significant funding from institutions including the European Institute of Innovation & Technology and the British Academy.

He serves as an Associate Editor of the Journal of Interactive Marketing and is on the editorial review boards of the Journal of Product Innovation Management and the International Journal of Research in Marketing. His work has been featured in prominent business magazines and newspapers such as Financial Times, Forbes, Fortune, and Wired. In 2021, he was named one of the World's Top 40 Business School Professors Under 40.

Oguz actively engages with the industry as a consultant, advisor, and speaker, working with organizations ranging from Fortune 500 companies to stealth AI start-ups. He regularly delivers executive education programs and workshops on generative AI, marketing, and innovation, and is a frequent keynote speaker at international conferences on these topics.

With extensive experience in teaching and designing modules related to marketing and innovation, Oguz is particularly interested in the effects of generative AI on education. He created the PAIR (Problem, AI, Interaction, Reflection) Framework to thoughtfully integrate GenAI into curriculums and co-developed the "Generative AI in Higher Education"—a free online module that has been taken by thousands of people from over 150 countries.

Prior to King's, he was an associate professor at Bayes Business School, and a visiting scholar at MIT and NYU Stern School of Business. He completed his PhD from Rotterdam School of Management, Erasmus University. He also worked as a marketing professional and is an engineer by training.

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