Overcrowded
17
%
806 Kč 977 Kč
Odesíláme do 5 až 7 dní
Sleva až 70% u třetiny knih
The standard text on innovation advises would-be innovators to conduct creative brainstorming sessions and seek input from outsiders-users or communities. This kind of innovating can be effective at improving products but not at capturing bigger opportunities in the marketplace. In this book Roberto Verganti offers a new approach-one that does not set out to solve existing problems but to find breakthrough meaningful experiences. There is no brainstorming-which produces too many ideas, unfiltered-but a vision, subject to criticism. It does not come from outsiders but from one person's unique interpretation. The alternate path to innovation mapped by Verganti aims to discover not how things work but why we need things. It gives customers something more meaningful-something they can love. Verganti describes the work of companies, including Nest Labs, Apple, Yankee Candle, and Philips Healthcare, that have created successful businesses by doing just this. Nest Labs, for example, didn't create a more advanced programmable thermostat, because people don't love to program their home appliances. Nest's thermostat learns the habits of the household and bases its temperature settings accordingly.
Autor: | Verganti, Roberto |
Nakladatel: | MIT Press |
Rok vydání: | 2017 |
Jazyk : | Angličtina |
Vazba: | Hardback |
Počet stran: | 264 |
Mohlo by se vám také líbit..
-
Design-Driven Innovation
Verganti, Roberto
-
Sources of Power
Klein, Gary A.
-
Economic Growth
Barro, Robert J.
-
Labor Economics
Cahuc, Pierre
-
Sustainability
Portney, Kent E.
-
Consumer Neuroscience
Cerf, Moran
-
IT Strategy for Non-IT Managers
Tiwana, Amrit
-
All in the Downs
Collins, Shirley
-
The Design of Everyday Things
Norman, Donald A.
-
101 Things I Learned in Architecture ...
Frederick, Matthew
-
Deep Learning
Goodfellow, Ian
-
Nonhuman Photography
Zylinska, Joanna
-
Translating Happiness
Lomas, Tim
-
German Philosophy - A Dialogue
Badiou, Alain
-
Rules of Play
Salen, Katie
-
Data Science
Kelleher, John D.