About Nobuyuki Fukawa

Education

  • Louisiana State University, Doctor of Philosophy, 2010

Professional links

Nobuyuki Fukawa

Prof, asoc
Business & Information Tech
101 Fulton Hall

573-341-7026 | fukawan@mst.edu | Personal site

Education

  • Louisiana State University, Doctor of Philosophy, 2010

Professional links

Biography

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.

Research

Research interests

Managerial issues on technology and innovation in marketing
â—‹ Consumer adoption of robotic technology
â—‹ Roles of blockchain technology in marketing and innovation
â—‹ Digital twin and innovation
â—‹ Big Data and ignorance-based view

The effects of non-conscious marketing cues on information processing and behavior
â—‹ Eye-tracking and consumer attention
â—‹ Priming and consumer preference

Service failure and recovery
â—‹ Introducing reasonableness in service encounters
â—‹ Affect and reasonableness during service failure

Awards and recognition

Awards

  • M. Wayne DeLozier Best Conference Paper Award May, 2018, Academy of Marketing Science (AMS) Annual Conference,
    New Orleans, LA

    Awarded as the best full paper submitted to 2018 AMS Annual
    Conference

Recognition

  • The eighth most cited article in marketing (Shugan's Top 20 Marketing Meta-Journal) His JBR article, "Big Data Consumer Analytics and the Transformation
    of Marketing" is ranked the eighth most cited article in marketing
    according to Shugan's Top 20 Marketing Meta-Journal at the University
    of Florida, February 29, 2020.