Associate Professor Len Coote
Len Coote
Associate Professor in Marketing
  • PhD, Marketing and applied statistics (Queensland University of Technology)
  • BBus (Hons 1), Marketing science (Queensland University of Technology)
+61 7 3346 8100
Colin Clark Building, St. Lucia Campus

    Len Coote holds the rank of Associate Professor in The University of Queensland Business School. His primary academic contribution is to the study of economic choices, which are ubiquitous in marketing (e.g., consider the decisions to install solar panels, purchase private health insurance, and use toll roads—to name just a few). Together with his academic collaborators, he developed a very general and flexible model for studying decision making and choice. The model integrates the mathematics of Daniel McFadden’s (UC Berkeley) conditional logistic regression and Karl Joreskog’s (Uppsala) linear structural relations models.

    Len’s primary teaching interests are in quantitative marketing, which a precursor to the new discipline of business analytics. In his opinion, today’s business school students need greater “data literacy” and business schools must place greater emphasis on equipping students to succeed in a world of artificial intelligence and big data. The methods of business analytics—data visualisation, machine learning, predictive analytics, text mining, web analytics—have much application to solving business and marketing problems. Len is passionate about bringing these methods and models to a new generation of business school students.

    Len is an active participant in community service roles. For example, he is the Vice-Chair of the Australian Consortium for Social and Political Research, Inc. ACSPRI is a non-profit consortium of Australian universities. ACSPRI’s mission is to improve the quality of research in the social and behavioural sciences in Australia and to encourage Australian governments to take an evidence-based approach to public policymaking. Before serving in the role of Vice-Chair, he was an instructor on ACSPRI’s summer and winter programs on applied statistics for circa 10yrs (teaching courses on structural equations with latent variables).

    Research interests

    Quantitative Marketing
    Consumer decision making; Discrete choice experiments; Market structure analysis; Psychological measurement; Structural choice modelling; Structural equation modelling; Survey research


    View full publications list


    • Australia New Zealand Marketing Academy (ANZMAC)
    • Australian Marketing Institute
    • American Marketing Association (AMA)
    • INFORMS Marketing Science

    Major research grants

    Title Agency Year Amount
    Dynamic relations between values and consumer behaviour: age and life-stage (ARC Linkage Project administered by the University of Western Australia) ARC Linkage Project 2016-2019 Undisclosed
    Modelling Multidimensional Multiparty Decisions to Improve Outcomes ARC Discovery Project 2016-2018 $330,000
    "Latent Variable Modelling of Discrete Choice Experiments” joint with Jordan Louviere (UTS) and Campbell Rungie (UniSA) ARC Discovery Project 2008-2010 $249,000
    ARC Linkage Project “Internet Companies and Consumer Behaviour” joint with B. Cornwell (UQ) ARC Linkage Project 2005-2006 $214,000