Open Talent by John Winsor
Category: eBooks
- views: 56
- date: 18 January 2024
- posted by: AD-TEAM
epub | 9.89 MB | English | Isbn:9781647823887 | Author: John Winsor | Year: 2024
Description:
In the new world of hybrid work and AI, one thing is clear: the war for talent is over—and talent won.
With sparsely populated offices and people working from wherever they are, and with AI emerging everywhere in business and dominating headlines, our work lives have undergone a remarkable transformation, seemingly overnight. But the reality is that for years the ever-growing digital wave has been breaking down organizational boundaries and increasing the adoption of open innovation, including the use of crowdsourcing platforms as a talent solution. Now the imperative is clear: adapt to and leverage this new, digitally enabled world of "open talent"—or get left behind.
In this eye-opening, essential guidebook, John Winsor and Jin Paik, with their work at the Laboratory for Innovation Science at Harvard, show how the massive reset of the pandemic allowed talented workers everywhere to exit their jobs without leaving the workforce. Now many are freelancing for multiple companies or are starting small businesses, challenging hiring managers as never before amidst a transformed workforce. What's more, talent has more power than ever using platforms such as Freelancer.com, Fiverr, and Upwork, setting their own terms for work: what, where, when, and at what price.
How can companies adapt? The key, the authors argue, is shifting to a more distributed idea and structure of collaborative work. The authors call this a networked organization, where talent is culled from both inside and outside the organization and viewed through a single lens—as a global ecosystem that can be tapped as needed.
With rich stories, keen insights, and an abundance of practical advice, Winsor and Paik provide a new framework and operating model for transforming your organization into a talent-orchestrating, problem-solving machine.
With sparsely populated offices and people working from wherever they are, and with AI emerging everywhere in business and dominating headlines, our work lives have undergone a remarkable transformation, seemingly overnight. But the reality is that for years the ever-growing digital wave has been breaking down organizational boundaries and increasing the adoption of open innovation, including the use of crowdsourcing platforms as a talent solution. Now the imperative is clear: adapt to and leverage this new, digitally enabled world of "open talent"—or get left behind.
In this eye-opening, essential guidebook, John Winsor and Jin Paik, with their work at the Laboratory for Innovation Science at Harvard, show how the massive reset of the pandemic allowed talented workers everywhere to exit their jobs without leaving the workforce. Now many are freelancing for multiple companies or are starting small businesses, challenging hiring managers as never before amidst a transformed workforce. What's more, talent has more power than ever using platforms such as Freelancer.com, Fiverr, and Upwork, setting their own terms for work: what, where, when, and at what price.
How can companies adapt? The key, the authors argue, is shifting to a more distributed idea and structure of collaborative work. The authors call this a networked organization, where talent is culled from both inside and outside the organization and viewed through a single lens—as a global ecosystem that can be tapped as needed.
With rich stories, keen insights, and an abundance of practical advice, Winsor and Paik provide a new framework and operating model for transforming your organization into a talent-orchestrating, problem-solving machine.
We need your support!
Make a donation to help us stay online
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem
Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u
USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239
USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm
Information |
|||
 |
Users of GUESTS are not allowed to comment this publication. | ||