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The New Division of Labor: How Computers Are Creating the Next Job Market (Inglese) Copertina flessibile – 29 ago 2005

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3,9 su 5 stelle 11 recensioni clienti

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Amazon.com: 3.9 su 5 stelle 11 recensioni
1 di 1 persone hanno trovato utile la seguente recensione
4.0 su 5 stelle To Boldly Go... 19 settembre 2014
Di Junglies - Pubblicato su Amazon.com
Formato: Copertina flessibile Acquisto verificato
I returned to this book after almost 10 years since it's initial publication, mainly because of the leaps in technology that have occurred since then. It is funny to see a picture of a Palm Pilot when so many people now would not have known what one was, never mind my hand held Psion machine from years earlier.

My thought of this book is driven by more of a concern of something I see everyday, which is the failure of a lot of businesses to capitalize on new technology. In retail, a brief visit to an Apple store before visiting a more typical retail outlet suggests that Apple is ahead of the competition who trail significantly, but also that Apple itself, does not use it's own technology in a radical way.

This book is serious and interesting and approaches it's concerns in a way which suggests that resources are being squandered and that our society is not making as much out of this dramatic rise in technology that it could be. The key thing that is not considered by the book is that people who can dream and think the unthinkable are crucial to leverage the potential of technological developments. Think of Facebook for example. There are people who could see at once that Facebook has advantages in the spread of consumer knowledge about products. In the youth market the sharing of information about bands and other media through Facebook could have been used in a direct fashion to promote the things that people liked. instead, years later, the now huge Facebook institution is gingerly putting its toes into the retail market through enabling people to buy things.

Similarly the book implies that alienation for those who cannot get to grips with technology because they lack basic skills of literacy, numeracy and communications, will be divorced from the new knowledge based economy and be cast aside with all of the attendant problems they will face into the distant future.

One thing which I think upon reflection should have been included is the fact that people are not just workers or consumers is that they are people and while the technology exists for people to do well in their chosen employments or causes, the technology itself cannot replace people. Video conferencing and Skype can assist in meetings across thousands of miles and numerous timezones, but ultimately there are situations where a physical presence is a necessity.

Technology has brought about massive changes in the workforce but there are a lot of small and medium enterprises which carry on as they have done for years with only minor changes courtesy of technology.

I suppose that what I am trying to articulate is the gap between technology and it's uses. It may have been obvious that telephones and computers could converge into mobile devices but I am convinced that there are untapped opportunities waiting to be discovered by people with imagination and ideas and there really does not seem to be any way to teach those things except by encouraging enterprise and initiative, taking risks and finding out how those risks can be financed and supported.

By the way I found this book to be a surprising source of ideas, not dry and academic at all.
1 di 1 persone hanno trovato utile la seguente recensione
4.0 su 5 stelle Practical view on the issue of "men vs. machine" 24 agosto 2014
Di Jysoo Lee - Pubblicato su Amazon.com
Formato: Formato Kindle Acquisto verificato
This is another book on the issue of “men vs. machine”. Compared with the “Race Against the Machine” which discusses more theoretical framework of the issue, this book is more practical with narrower focus. The authors start with the question “what kind of tasks do computer perform better than humans?” --- rule based logic. On the other hand, humans are good at expert thinking and complex communication. The authors discuss their implications on the job market, with very interesting statistics. They also present some examples of how to train people with skills necessary for their future. I truly enjoy the book.
0 di 1 persone hanno trovato utile la seguente recensione
5.0 su 5 stelle Five Stars 9 aprile 2015
Di Bearrica Danger - Pubblicato su Amazon.com
Formato: Copertina flessibile Acquisto verificato
0 di 2 persone hanno trovato utile la seguente recensione
2.0 su 5 stelle Two Stars 16 dicembre 2015
Di Pramesus - Pubblicato su Amazon.com
Formato: Copertina flessibile Acquisto verificato
I was a little lost.
5 di 5 persone hanno trovato utile la seguente recensione
5.0 su 5 stelle Best book on workforce in a long time. 14 maggio 2007
Di Christopher L. Bergstrom - Pubblicato su Amazon.com
Formato: Copertina flessibile
If you only read one book this year, read this book. It will change the way you think about work, education and the global economy. Murnane and Levy ask two fundamental questions: What do computers do better than people? (A: rules-based thinking) What do people do better than computers? (A: pattern recognition)

Much of the work of the industrial economy was rules-based, both on the assembly line and in the manager's office. Most of the work in the innovation economy is based on pattern recognition, including what Murnane and Levy call expert thinking and complex communication. Their research shows that these are the skills for which demand is growing in the economy at all rungs of the job ladder.

I've found their argument so compelling that I have purchased copies of the book for most of the top policy-makers in my home state of Rhode Island. The ideas in the book are starting to shape the discussion of school reform and workforce development here. In particular, we are concerned that our school system, like those in every other state, is still producing labor for a rules-based industrial economy that no longer exists. While it's possible to absorb rules-based thinking from a book or a lecture, it's difficult to teach pattern recognition skills in a pure classroom setting. You learn to recognize patterns by actually doing it the company of someone who is already very good at it. It's the essence of good experiential learning and mentoring, which can no longer be thought of as a luxury in the education system. If we want to produce the workforce we need for an innovation economy, we'll need to make experiential learning a part of every K-12 and college experience.