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Does Big Data Mean Big Knowledge? : (Record no. 125382)

MARC details
000 -LEADER
fixed length control field 05815nam a22004933i 4500
001 - CONTROL NUMBER
control field EBC4843480
003 - CONTROL NUMBER IDENTIFIER
control field MiAaPQ
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240729131212.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m o d |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr cnu||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240724s2017 xx o ||||0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781787145061
Qualifying information (electronic bk.)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Canceled/invalid ISBN 9781787145054
035 ## - SYSTEM CONTROL NUMBER
System control number (MiAaPQ)EBC4843480
035 ## - SYSTEM CONTROL NUMBER
System control number (Au-PeEL)EBL4843480
035 ## - SYSTEM CONTROL NUMBER
System control number (CaPaEBR)ebr11375849
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)983204436
040 ## - CATALOGING SOURCE
Original cataloging agency MiAaPQ
Language of cataloging eng
Description conventions rda
-- pn
Transcribing agency MiAaPQ
Modifying agency MiAaPQ
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA76.9.B45 .D647 2017
082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.7
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Wang, William.
245 10 - TITLE STATEMENT
Title Does Big Data Mean Big Knowledge? :
Remainder of title Knowledge Management Perspectives on Big Data and Analytics.
250 ## - EDITION STATEMENT
Edition statement 1st ed.
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Bradford, West Yorkshire :
Name of producer, publisher, distributor, manufacturer Emerald Publishing Limited,
Date of production, publication, distribution, manufacture, or copyright notice 2017.
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice ©2017.
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (233 pages)
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
490 1# - SERIES STATEMENT
Series statement Journal of Knowledge Management ;
Volume/sequential designation v.21
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note m10001170000C1 -- JKM_21_1_Text_V01 -- m1000117000001 -- Does big data mean big knowledge? KM perspectives on big data and analytics -- Introduction -- What does this mean for KM? -- Our take - a role for big data/analytics in KM -- Conclusion and implications -- References -- m1000117000007 -- Davenport and Prusak on KM and big data/analytics: interview with David J. Pauleen -- Introduction -- m1000117000012 -- Dave Snowden on KM and big data/analytics: interview with David J. Pauleen -- Introduction -- m1000117000018 -- Big data text analytics: an enabler of knowledge management -- 1. Introduction -- 2. Conceptual background -- 3. Method of big data text analytics -- 4. Findings -- 5. Discussion and conclusions -- 6. Limitations and future research directions -- References -- m1000117000035 -- An exploration of contemporary organizational artifacts and routines in a sustainable excellence ... -- 1. Introduction -- 2. Background -- 3. Big data analytics and organizational intelligence -- 4. Developing a model for organizational excellence -- 5. Discussion and concluding remarks -- References -- m1000117000057 -- How the Internet of Things can help knowledge management: a case study from the automotive domain -- 1. Introduction -- 2. Knowledge management -- 3. Overview of IoT -- 4. IoT can help KM to capture data to be used in organisations -- 5. Conversion of big data into knowledge using a case study -- 6. Conclusion -- References -- m1000117000071 -- Information and reformation in KM systems: big data and strategic decision-making -- Introduction -- The working assumptions -- Looking into (big) data -- Structured and unstructured decision-making -- The decision-data quadrants -- Setting the ground rules for advanced knowledge management systems -- Discussion and conclusion -- References -- m1000117000092.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note Big data systems: knowledge transfer or intelligence insights? -- Introduction -- Background -- Conceptualization -- Results and discussion -- Conclusions -- References -- m1000117000113 -- Big data and knowledge management: a case of déja -- 2q vu or back to the future? -- Introduction -- Big data -- Knowledge management -- Do big data signify the end for knowledge management? -- Discussion -- Conclusions -- References -- m1000117000132 -- Creation of knowledge-added concept maps: time augmention via pairwise temporal analysis -- 1. Introduction -- 2. Literature review -- 3. Research model: pair-wise temporal analysis -- 4. Methodology -- 5. Results: model demonstration -- 6. Model validation and conclusion -- References -- m1000117000156 -- Facilitating knowledge management through filtered big data: SME competitiveness in an agri-food ... -- Introduction -- Literature review -- Methodology -- Findings -- Discussion -- Conclusion -- References -- m1000117000180 -- Interrelationship between big data and knowledge management: an exploratory study in the oil and ... -- 1. Introduction -- 2. Big data -- 3. Big data and knowledge management -- 4. Research context and motivation -- 5. Methodology -- 6. Results -- 7. Analysis -- 8. Conclusions -- References -- m1000117000197 -- Cognitive big data: survey and review on big data research and its implications. What is really ... -- 1. Introduction -- 2. Method and approach -- 3. Re-thinking "Data" in "Big data": dark data, gray data, light dat ... -- 4. Two distinct "Mental models" in cognitive Big Data -- 5. A socio-technical knowledge system -- 6. Visualization, sensory presentation and meaning as key challenge -- 7. Consequences of cognitive Big Data in knowledge management -- 8. Conclusion -- References -- m1000117000213 -- The concepts of big data applied in personal knowledge management.
505 8# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Introduction and background -- 2. Literature review -- 3. The implications of big data for personal applications -- 4. Research methodology -- 5. The concepts of big data applied in personal knowledge management -- 6. Summary -- References.
588 ## - SOURCE OF DESCRIPTION NOTE
Source of description note Description based on publisher supplied metadata and other sources.
590 ## - LOCAL NOTE (RLIN)
Local note Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Big data.
655 #4 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pauleen, David.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Carayannis, Elias.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
Main entry heading Wang, William
Title Does Big Data Mean Big Knowledge?
Place, publisher, and date of publication Bradford, West Yorkshire : Emerald Publishing Limited,c2017
International Standard Book Number 9781787145054
797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN)
Corporate name or jurisdiction name as entry element ProQuest (Firm)
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Journal of Knowledge Management
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=4843480">https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=4843480</a>
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