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Marco Bertini. Associate professor of Computer Science, University of Florence. Verified email at unifi.it - Homepage. ... J Assfalg, M Bertini, C Colombo, A Del Bimbo, W Nunziati. Computer vision and image understanding 92 (2-3), 285-305, 2003. 315: 2003: Deep generative adversarial compression artifact removal. L Galteri, L Seidenari, M ...
Harvard Business School Soldiers Field Boston, MA 02163. → Map & Directions. → More Contact Information
Marco Bertini es profesor de marketing en Esade y cofundador del Institute for Data-Driven Decisions. Es Doctor en Administración de Empresas por la Harvard Business School y antes de incorporarse a Esade fue miembro del claustro de la London Business School. Es coautor del libro The ends game: How smart companies stop selling products and ...
In The Ends Game, Oded Koenigsberg and I describe how some firms are rewriting the rules of commerce: instead of selling “means” (products and services), they adopt innovative revenue models to pursue “ends” (actual outcomes). We show that paying by the pill, semester, food item, vehicle, or show does not necessarily reflect the value ...
30 de nov. de 2020 · Marco Bertini is a professor of marketing at Esade and co-founder of the school’s Institute for Data-Driven Decisions. He received his doctorate from Harvard Business School, and previously served on the faculty at London Business School. He is co-author of the book The ends game: How smart companies stop selling products and start delivering ...
Marco Bertini has directly applied his methods as an advisor to leading companies such as ExxonMobil, IBM, Pfizer, P&G, Telenor, Vodafone, Young Presidents’ Organization and many others. His research appears in the leading journals for management science and practice, including Harvard Business Review, MIT Sloan Management Review, Journal of Consumer Research, Journal of Marketing, and ...
including household size, income bracket, and age of the head of the household (in 10 groups, 1. = 24 years old or younger to 10 = 75 years old or more). Table 1 reports the number of responses. 4 The total number of household-food-price setting combinations is 1,990*1+200*2+12*3 = 2,426.
