MARC details
000 -LEADER |
fixed length control field |
03239nam a2200409Ki 4500 |
001 - CONTROL NUMBER |
control field |
ocn865508153 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
OCoLC |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20240726105207.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
131217s2012 maua ob 001 0 eng d |
040 ## - CATALOGING SOURCE |
Original cataloging agency |
NT |
Language of cataloging |
eng |
Description conventions |
rda |
-- |
pn |
Transcribing agency |
NT |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781422183199 |
Qualifying information |
|
050 04 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
HD30 |
Item number |
.O733 2012 |
049 ## - LOCAL HOLDINGS (OCLC) |
Holding library |
NTA |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Thompson, Donald N. |
Relator term |
Author |
245 10 - TITLE STATEMENT |
Title |
Oracles : |
Remainder of title |
how prediction markets turn employees into visionaries / |
Statement of responsibility, etc. |
Donald N. Thompson. |
260 ## - PUBLICATION, DISTRIBUTION, ETC. |
Place of publication, distribution, etc. |
Boston, Mass. : |
Name of publisher, distributor, etc. |
Harvard Business Review Press, |
Date of publication, distribution, etc. |
(c)2012. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
1 online resource (vi, 261 pages) : |
Other physical details |
illustrations. |
336 ## - CONTENT TYPE |
Content type term |
text |
Content type code |
txt |
Source |
rdacontent |
337 ## - MEDIA TYPE |
Media type term |
computer |
Media type code |
c |
Source |
rdamedia |
338 ## - CARRIER TYPE |
Carrier type term |
online resource |
Carrier type code |
cr |
Source |
rdacarrier |
347 ## - DIGITAL FILE CHARACTERISTICS |
File type |
data file |
Source |
rda |
504 ## - BIBLIOGRAPHY, ETC. NOTE |
Bibliography, etc. note |
Includes bibliographies and index. |
505 00 - FORMATTED CONTENTS NOTE |
Formatted contents note |
The mutual fun market -- |
Title |
What are these prediction markets? -- |
-- |
Sports and movie markets -- |
-- |
Election markets -- |
-- |
Estimation markets -- |
-- |
What can prediction markets replace? -- |
-- |
Google -- |
-- |
Best Buy -- |
-- |
The technology evangelist -- |
-- |
Boardroom markets -- |
-- |
Way-outside-the-box-markets : Casting calls and epidemiology -- |
-- |
Further outside the box : Terrorism markets -- |
-- |
Government markets -- |
-- |
Long-term markets -- |
-- |
When no one wants to know -- |
-- |
More red flags than Beijing -- |
-- |
Finding the scorpion -- |
-- |
Becoming an oracle. |
520 0# - SUMMARY, ETC. |
Summary, etc. |
From selecting the lead actress in a Broadway musical to predicting a crucial delay of Boeing's 787 Dreamliner months before the CEO knew about it, to accurately forecasting US president ital elections--prediction markets have realized some amazing successes by aggregating the wisdom of crowds. Until now, the potential for this unique approach has remained merely an interesting curiosity. But a handful of innovative organizations--GE, Google, Motorola, Microsoft, Eli Lily, even the CIA--has successfully tapped employee insights to change how business gets done. In Oracles, Don Thompson explains how these and other firms use prediction markets to make better decisions, describing what could be the origins of a social revolution. Thompson shows how prediction markets can: draw on the hidden knowledge of every employee, tap the 'intellectual bandwidth" of retired employees, replace surveys, substitute for endless meetings. By showing successes and failures of real organizations, and identifying the common roadblocks they've overcome, Oracles offers a guide to begin testing expertise against the collective wisdom of employees and he market--all to the benefit of their bottom line. |
530 ## - COPYRIGHT INFORMATION: |
COPYRIGHT INFORMATION |
COPYRIGHT NOT covered - Click this link to request copyright permission: |
Uniform Resource Identifier |
<a href="b">b</a> |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Business forecasting. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Decision making. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Strategic planning. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Organizational behavior. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Organizational effectiveness. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name entry element |
Creative ability in business. |
655 #1 - INDEX TERM--GENRE/FORM |
Genre/form data or focus term |
Electronic Books. |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=675186&site=eds-live&custid=s3260518">https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=675186&site=eds-live&custid=s3260518</a> |
-- |
Click to access digital title | log in using your CIU ID number and my.ciu.edu password |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Online Book (LOGIN USING YOUR MY CIU LOGIN AND PASSWORD) |
DONATED BY: |
|
VENDOR |
EBSCO |
Classification part |
HD. |
PUBLICATION YEAR |
2012 |
LOCATION |
ONLINE |
REQUESTED BY: |
|
-- |
|
-- |
NFIC |
Source of classification or shelving scheme |
|
994 ## - |
-- |
02 |
-- |
NT |
902 ## - LOCAL DATA ELEMENT B, LDB (RLIN) |
a |
1 |
b |
Cynthia Snell |
c |
1 |
d |
Cynthia Snell |