Big data and decision-making : (Record no. 668023)

MARC details
000 -LEADER
fixed length control field 05391nam a2200493Ii 4500
001 - CONTROL NUMBER
control field 9781803825533
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250919145711.0
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 un|||||||||
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230118t20232023enk ob 001 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781803825533
Qualifying information (e-book)
040 ## - CATALOGING SOURCE
Original cataloging agency UtOrBLW
Language of cataloging eng
Description conventions rda
Transcribing agency UtOrBLW
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number HD30.23
Item number .B54 2023
072 #7 - SUBJECT CATEGORY CODE
Subject category code BUS019000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code KJMD
Source bicssc
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 658.403
Edition information 23
245 00 - TITLE STATEMENT
Title Big data and decision-making :
Remainder of title applications and uses in the public and private sector /
Statement of responsibility, etc. edited by Anna Visvizi (SGH Warsaw School of Economics, Poland), Orlando Troisi (University of Salerno, Italy), and Mara Grimaldi (University of Salerno, Italy).
264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Bingley, U.K. :
Name of producer, publisher, distributor, manufacturer Emerald Publishing Limited,
Date of production, publication, distribution, manufacture, or copyright notice 2023.
264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Date of production, publication, distribution, manufacture, or copyright notice ©2023
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (240 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 Emerald studies in politics and technology
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1. Big data & decision-making: How big data is relevant across fields and domains / Anna Visvizi, Orlando Troisi, and Mara Grimaldi -- Part 1. Conceptualizing big data, its value added and relevance in the modern world -- Chapter 2. Mapping and conceptualizing big data and its value across issues and domains / Anna Visvizi, Orlando Troisi, and Mara Grimaldi -- Chapter 3. Digital governance for addressing performance challenges within inter-municipalities / Giulia Leoni, Gennaro Maione, and Luca Mazzara -- Chapter 4. Misuse of personal data: Exploring the privacy paradox in the age of big data analytics / Xhimi Hysa, Mario D'Arco, and Joana Kostaqi -- Chapter 5. Nosql security: Can my data-driven decision-making be affected from outside? / Anastasija Nikiforova, Artjoms Daskevics, and Otmane Azeroual -- Chapter 6. Big data, knowledge sharing, and the innovation process: A systematic literature review / Gianluca Maria Guazzo and Vilma Çekani -- Part 2. Big big data and its application across policy fields -- Chapter 7. Transparency in AI systems for value co-creation in healthcare / Antonietta Megaro -- Chapter 8. Big data and its impact on tourism and entrepreneurship / Antonio Botti and Antonella Monda -- Chapter 9. Big data and digital technologies for circular economy in the agri-food sector / Benedetta Esposito, Ornella Malandrino, Maria Rosaria Sessa, and Daniela Sica -- Part 3. Business & policy-making process empowered by big data -- Chapter 10. Business processes powered by big data: Current issues and new research directions / Radoslaw Malik and Katarzyna Rybkowska -- Chapter 11. Barriers and practical challenges for data-driven decision-making in circular economy smes / Anne-Mari Järvenpää, Jari Jussila, and Iivari Kunttu -- Chapter 12. A co-evolutionary perspective on data-driven organization: Highlights from smart cities in the covid-19 era / Francesca Loia -- Chapter 13. What does it take to build a smart sustainable city? -- Modelling an algorithm of smart cities / Olena Sokhatska and Ruslana Lutsiv.
520 ## - SUMMARY, ETC.
Summary, etc. Big data and its accompanying technological ecosystems have had a dramatic impact on business, politics and society. At the same time, the very nature of big data, a term that originates from computer science discourse, often remains opaque to research communities in other disciplines as well as to practitioners. Considering the pervasive impact of big data across a number of issues and domains, clearer insight into its functions and practical application is needed. Through a unique blend of case studies and critical analysis, Big Data and Decision-Making: Applications and Uses in the Public and Private Sector examines how big data influences contemporary societies in decision-making processes, strategy setting and overall performance. Covering topics ranging from data privacy to AI, big data in healthcare, SMEs, tourism and smart cities, contributors offer a critical appraisal of lessons learnt in the process of harnessing the promise inherent in big data. Big Data and Decision-Making: Applications and Uses in the Public and Private Sector breaks down the concept of big data to reveal how it has become integrated into the fabric of both public and private domains, as well as how its value can ultimately be exploited. To this end, its contributors call for the building of bridges between the computer science-driven debate on big data and research taking place in social sciences and management.
588 0# - SOURCE OF DESCRIPTION NOTE
Source of description note Print version record.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Decision making
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Big data.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Business & Economics
General subdivision Decision-Making & Problem Solving.
Source of heading or term bisacsh
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Management decision making.
Source of heading or term bicssc
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Visvizi, Anna,
Dates associated with a name 1976-
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Troisi, Orlando,
Relator term editor.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Grimaldi, Mara,
Relator term editor.
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Print version:
International Standard Book Number 9781803825526
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information PDF version:
International Standard Book Number 9781803825519
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Emerald studies in politics and technology.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1108/9781803825519">https://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1108/9781803825519</a>
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b1701279x
b 2023-12-01
c 2023-11-28
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Suppress in OPAC No
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Library
Operator's initials, OID (RLIN) 2023-11-28
Cataloger's initials, CIN (RLIN) m
Material Type (Sierra) E-Book
Language English
Country
-- 0
-- .b1701279x

No items available.


Contact Us

Perpustakaan Tun Seri Lanang, Universiti Kebangsaan Malaysia
43600 Bangi, Selangor Darul Ehsan,Malaysia
+603-89213446 – Consultation Services
019-2045652 – Telegram/Whatsapp
Email: helpdeskptsl@ukm.edu.my

Copyright ©The National University of Malaysia Library