Rate My Professor Darren Kim

Dr. Kim's research employs an empirics-first, data-oriented methodology to generate relevant marketing insights, a distinctive approach that has garnered significant recognition. His academic interests focus on customer valuation and experience management, the marketing-finance interface, and new product and services innovation. He is affiliated with the FinTech and Banking Research Centre at Macquarie University. A landmark achievement is his co-authored article, “Learning from Data: An Empirics-First Approach to Relevant Knowledge Generation,” by Golder et al., published in the Journal of Marketing in May 2023, which received the prestigious 2023 Shelby D. Hunt/Harold H. Maynard Award from the American Marketing Association for the most significant article published in the journal that year. He has also co-authored “Detect Online Fake Review Using Machine Learning” with Ling Zhang and Jun Yao, featured in the ANZMAC 2025 conference proceedings. Furthermore, Dr. Kim contributes to student education by teaching key units such as New Venture Marketing (MKTG3012) and Marketing Intelligence (MKTG6013), where he integrates his expertise in marketing analytics and empirical methods. His work exemplifies the integration of industry practice with academic rigor, enhancing both research and teaching in the marketing discipline.