Nobuyuki Fukawa is an associate professor of marketing at Missouri University of Science and Technology. He is also a Distinguished Visiting Associate Professor at Graduate School of Business and Commerce, Keio University, Tokyo, Japan. He earned his B.A. from Hitotsubashi University, Tokyo, Japan, Master of Marketing Research (M.M.R.) from the Coca-Cola Center for Marketing Studies at University of Georgia, and Ph.D. in Business Administration (Marketing) from Louisiana State University. Prior to his academic career, Nobuyuki worked in sales and marketing at Dell Japan and Coca-Cola Company, Japan.
His latest research focuses on managerial issues on technology and innovation in marketing, such as Robotic Technology, Blockchain, and Big Data. He collaborates with leading firms in robotics, AI, and Big Data analytics, including Softbank Robotics, Iris Robotics, Iris Ohyama, Daiei Inc., Happo-en, and Megaputer Intelligence. For his paper on consumer adoption of robotic technology, he received M. Wayne DeLozier Best Conference Paper Award at 2018 Academy of Marketing Science Annual Conference in New Orleans, Louisiana. Most recently, collaborating with the Department of Mathematics and Statistics, he further developed this research project into a new class Marketing Revolution with Machine Learning.
His article on Big Data consumer analytics was ranked as the eighth most cited article in marketing (Shugan's Top 20 Marketing Meta-Journal, the University of Florida). Building on this article and creating a strategic partnership with a leading company of Big Data analytics, he developed a new course Big Data Consumer Analytics. Furthermore, he has been invited as a guest speaker at a major analytics conference in the industry.
His research has been published in various journals, including Industrial Marketing Management, Journal of Business Research, Journal of Business Ethics, Psychology & Marketing, Journal of Personal Selling and Sales Management, and Journal of Advertising. He has presented his research at various conferences, including the Society of Consumer Psychology, Academy of Marketing Science, and Advertising and Consumer Psychology. He has taught Marketing Revolution with Machine Learning, Big Data Consumer Analytics, Marketing Strategy, Consumer Behavior, and Principle of Marketing.