The Science of organizational change
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| Tag | 1 | 2 | Valor |
|---|---|---|---|
| LDR | 00000cam a22000004b 4500 | ||
| 001 | MAP20190024877 | ||
| 003 | MAP | ||
| 005 | 20220912143938.0 | ||
| 008 | 190329s2019 usa|||| ||| ||eng d | ||
| 040 | $aMAP$bspa$dMAP | ||
| 084 | $a922.1 | ||
| 100 | 1 | $0MAPA20190011600$aFaeste, Lars | |
| 245 | 1 | 4 | $aThe Science of organizational change$cLars Fæste, Martin Reeves, Kevin Whitaker |
| 260 | $aBoston$bThe Boston Consulting Group$c2019 | ||
| 300 | $a9 p. | ||
| 520 | $aIn the coming decade, companies will increasingly need to compete on the rate of learning. Technology promises to play a critical role: artificial intelligence can detect patterns in complex data sets at extreme speed and scale, enabling dynamic learning. This will allow organizations to constantly adapt to changing realities and surface new opportunities, which will be increasingly important in an uncertain and fast-changing environment. | ||
| 650 | 4 | $0MAPA20080569815$aOrganizaciones | |
| 650 | 4 | $0MAPA20080546991$aEmpresas | |
| 650 | 4 | $0MAPA20080586546$aNuevas tecnologías | |
| 650 | 4 | $0MAPA20080554866$aInnovación | |
| 650 | 4 | $0MAPA20080568641$aDigitalización | |
| 650 | 4 | $0MAPA20080556709$aTecnología | |
| 650 | 4 | $0MAPA20080611200$aInteligencia artificial | |
| 700 | $0MAPA20110023232$aReeves, Martin | ||
| 700 | 1 | $0MAPA20190011617$aWhitaker, Kevin | |
| 710 | 2 | $0MAPA20100029008$aThe Boston Consulting Group | |
| 710 | 2 | $0MAPA20190011587$aHenderson Institute |