- Author : Edward Tenner
- Release Date : 01 August 2021
- Publisher : Vintage
- Categories : Business & Economics
- Pages : 282 pages
- ISBN 13 : 9781400034888
- ISBN 10 : 1400034884
- Format : PDF, ePUB, KF8, PDB, MOBI, AZW
The page you requested cannot be found. The page you are looking for may have been removed, had its name changed, or is temporarily unavailable. The paradox of why profitable energy-saving investments are not undertaken continues to provoke debate. The underlying phenomenon might be called the ‘efficiency paradox,’ because it represents a case in which business firms, which are often presumed (or taken axiomatically) to be economically efficient, make decisions that do not maximize profits.
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Synopsis : The Efficiency Paradox written by Edward Tenner, published by Vintage which was released on 01 August 2021. Download The Efficiency Paradox Books now! Available in PDF, EPUB, Mobi Format.A bold challenge to our obsession with efficiency--and a new understanding of how to benefit from the powerful potential of serendipity. Algorithms, multitasking, the sharing economy, life hacks: our culture can't get enough of efficiency. One of the great promises of the Internet and big data revolutions is the idea that we can improve the processes and routines of our work and personal lives to get more done in less time than we ever have before. There is no doubt that we're performing at higher levels and moving at unprecedented speed, but what if we're headed in the wrong direction? Melding the long-term history of technology with the latest headlines and findings of computer science and social science, The Efficiency Paradox questions our ingrained assumptions about efficiency, persuasively showing how relying on the algorithms of digital platforms can in fact lead to wasted efforts, missed opportunities, and, above all, an inability to break out of established patterns. Edward Tenner offers a smarter way of thinking about efficiency, revealing what we and our institutions, when equipped with an astute combination of artificial intelligence and trained intuition, can learn from the random and unexpected.
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