Albert C. Bemmaor

Biography

 Prior to joining ESSEC Business School in January 1980, Albert Bemmaor was on the faculty of the Booth School of Business at the University of Chicago. Over the past five decades, he has published regularly in top-tier journals, with a focus on mathematical models of consumer behavior, the adoption of technological innovations and market response models. His work has been applied and extended in a variety of areas, including the diffusion of social networks, geology (i.e., the prediction of natural resources - see the research by Guseo and colleagues at the University of Padua, Italy), economics (i.e., the distribution of medical expenditures in the U.S. - see Aizawa and Fang 2015), medecine (see, e.g. Mennemeyer and colleagues, Journal of the American Medical Informatics Association, Oxford U. Press, 2015 and Guseo Technological Forecasting and Social Change 2016) and hydraulics among others. His diffusion model, the gamma/shifted Gompertz model, at times called "Bemmaor's model" has turned into a classical model of diffusion about 20 years after its development and has become a keyword. Up to now, the model has been adopted by Wolfram Language, the programming language of Mathematica, as well as by ExtraDistr, a package in R and by SAS. His work has been implemented at companies such as Google (see Goerg and colleagues 2015), Microsoft (see Buy-'Til-You-Die BTYDPlus R package by Michael Platzer) and Orange (see, e.g., Scaglione, Giovannetti and Hamoudia, International Journal of Forecasting, 2015).  Albert Bemmaor teaches courses on product management, marketing management and marketing research in the MSc. program and on marketing models in the doctoral program. In 2000, he received a prize from the French Marketing Association (AFM) for his "Outstanding Contribution to Methodology". Albert Bemmaor has an open invitation to visit (Gastprofessor) the University of Vienna in Austria. He has been a member of the Nomination Committee for the Nobel Prize in Economic Sciences on several occasions.   

Research Interest

 Valuing a prototype, a new offering, an advertising medium (press, Internet), valuing new and existing customers based on expected and/or past behavior. Measuring the productivity of marketing expenditures (media advertising, retail promotion).  Capturing response errors in survey data (i.e. stated claims). Mathematical modeling of the diffusion of technological innovations.