Index
Big Data and Decision-Making: Applications and Uses in the Public and Private Sector
ISBN: 978-1-80382-552-6, eISBN: 978-1-80382-551-9
Publication date: 30 January 2023
This content is currently only available as a PDF
Citation
(2023), "Index", Visvizi, A., Troisi, O. and Grimaldi, M. (Ed.) Big Data and Decision-Making: Applications and Uses in the Public and Private Sector (Emerald Studies in Politics and Technology), Emerald Publishing Limited, Leeds, pp. 215-221. https://doi.org/10.1108/978-1-80382-551-920231014
Publisher
:Emerald Publishing Limited
Copyright © 2023 Anna Visvizi, Orlando Troisi and Mara Grimaldi
INDEX
Aadhaar data breach
, 61
Accidental re-identification
, 63
Acquired data
, 164
Adaptive learning materials
, 206
Aerospike
, 64
Affect heuristic
, 46
Agenda 2030, Sustainable Development Goals (SDGs), UN
, 202
Agri-food sector (AFS)
, 122
bibliometric and descriptive results
, 127–130
methodology
, 123–126
thematic results
, 130–136
Air France-
KLM
, 108
Albergo Diffuso (AD)
, 108
methodology
, 109–110
results
, 114–117
Amazon
, 60
Application programming interfaces (APIs)
, 174
AppSheet technologies
, 192
Artificial intelligence (AI)
, 2, 94, 117, 153
AI-based systems
, 20
as operant resource for value co-creation in healthcare
, 96–100
Asset reconfiguration
, 31
“Augmented decision”-based model for value co-creation in healthcare
, 100–102
Authority heuristic
, 46, 49
Basic and transversal themes
, 146
Bibliometric impact assessment
, 128
Bibliometric methods
, 144
Big data
, 1–2, 5–6, 16, 28, 60, 78, 108, 122, 144, 162–165, 181
analysis algorithms
, 108
analytics
, 7
approaches
, 181
benefits
, 4
challenge of obtaining quality data
, 17–18
challenge of utilization of big data in decision-making process
, 18–20
diverse aspects
, 3
society, and politics
, 20–22
Biogas production
, 166
Black box AI algorithms
, 98
Blockchain
, 2
Bottom-up approach
, 185
Breaches
, 61
Brunetta Reform
, 33
Business
, 1–3, 17–19
big data and
, 147–151
data
, 163
intelligence in information systems
, 21, 163
models
, 21
processes
, 144–155
science mapping
, 144–147
sector
, 22
Business process management (BPM)
, 153
Cambridge Analytica scandal
, 44, 48, 50
Cassandra
, 64, 66, 69
Circular economy (CE)
, 3, 7, 123
CE-based economy system
, 162
challenges for data-driven decision-making in SMEs
, 163–166
lack of capabilities
, 170–172
lack of resources
, 169–170
methodology
, 166–167
regulation
, 172–173
utilization of data
, 168–169
Citation analysis
, 125
Clinical decision support systems (CDSS)
, 97
Closed-loop production systems
, 162
Cloud computing
, 20
Co-design of predictive decision model
, 6
Co-evolutionary cycle
, 188
in urban governance
, 192–194
Co-evolutionary perspective
, 8, 181
co-evolutionary cycle in urban governance
, 192–194
on data-driven organization in smart city context
, 186–188
data-driven organizations
, 181–183
on data-driven urban organization during covid-19
, 189–192
implications and future lines of research
, 194195
theoretical background
, 181–185
urban governance in digital era
, 183–185
Coarse-grained access control
, 64
Code Execution
, 63
CodeIT
, 208
Cognitive heuristics
, 46
Cognitive technologies
, 101
Common Vulnerability and Exposure (CVE)
, 60, 65
Communication theory
, 79
Communities
, 184
well-being
, 21
Compromised databases
, 69
Computer networks
, 164
Computer science
, 22
Connectivity
, 208
Cooperation
, 34
Coronavirus pandemic (see Covid-19—pandemic)
CouchDB
, 64, 66–67
Covid-19
, 8, 32, 180, 194
co-evolutionary perspective on data-driven urban organization during
, 189–192
pandemic
, 22, 60
Crisis management
, 60
Cross-Site Request Forgery (CSRF)
, 63–64
Customer-provided data
, 164
Cyber-Physical Systems (CPS)
, 5, 150, 153
Cybersecurity techniques
, 66
Data
, 164, 205
analytics
, 18
coding and emerging themes
, 56–57
driven approach
, 180
economy
, 45
leakages
, 61–62
management technologies
, 180
ownership
, 44
privacy
, 44
processing
, 99
protection
, 45
science tools
, 117
surveillance
, 44
utilization
, 169
Data analysis
, 125–126, 182
process
, 47
skills
, 182
Data collection
, 145, 147
and sampling process
, 123–125
Data-driven approach
, 109, 114, 117, 181, 191
decision-making based on
, 192–194
opportunities and challenges from
, 183–185
in tourism
, 112–113
Data-driven circular economy
, 6
Data-driven corporate culture
, 96
Data-driven culture
, 182
Data-driven decision-making (DDDM)
, 19, 96, 162
approach
, 44
lack of capabilities
, 165
lack of resources
, 165
regulation
, 165
in SMEs
, 163
utilization of data
, 164–165
Data-driven organizations
, 181–183, 187
in smart city context
, 186–188
Data-driven orientation
, 19–20
key outcomes
, 21
Data-driven segmentation studies
, 113
Data-driven urban organization during covid-19, co-evolutionary perspective on
, 189–192
Databases
, 5, 60
Datum
, 17
Decision standards
, 99
Decision support systems (DSS)
, 184
Decision-making (see also Data-driven decision-making (DDDM))
approach
, 180
challenge of utilization of big data in
, 18–20
challenges and opportunities for decision-making based on data-driven approach
, 192–194
in institutions and organizations
, 21
process
, 4, 180
shades in
, 181
Delegation of decision-making authority
, 79
Denial of Service
, 63
Digital Agenda of Ukraine (2020)
, 203
Digital culture
, 32
Digital era, urban governance in
, 183–185
Digital governance (see also Urban governance)
, 28, 32
advent
, 32–33
DCs as conceptual framework to study
, 29–31
dynamic digital governance for improving performance management systems in inter-municipal context
, 35–36
performance management systems within inter-municipal context
, 33–35
theoretical background
, 32–35
Digital technologies
, 6, 122, 180, 186, 207
Digital transformations
, 77
Digitalization
, 78
policies
, 32
Direct values
, 60
Dirty data
, 168
Double blind penetration or pentesting (see Double blind testing)
Double blind testing
, 65
Dynamic Application Security Testing (DAST)
, 64
Dynamic capabilities (DCs)
, 29
as conceptual framework to study
, 29–31
Economic sustainability
, 111–112
Educational institutions
, 51
Effective leadership
, 34
Elaboration Likelihood Model (ELM)
, 46
Elasticsearch
, 66, 68, 72
Emerging or declining themes
, 146
Entrepreneurial orientation (EO)
, 108, 115
Environmental sustainability
, 111–112
European Union (EU)
, 33, 169, 173,175, 202
Explainability
, 98
Facebook
, 44, 50
File Inclusion
, 63
Financial losses
, 62
Firm-performance
, 149
4th Industrial Revolution
, 22
Freely available data
, 164
Gain information
, 63
Gain Privileges
, 63
General Data Protection Regulation (GDPR)
, 4, 173
implementation
, 49
studies
, 44–45
Global Financial Crisis (2008)
, 33
Google
, 60
Google Apps Script technologies
, 192
Governments
, 44
Grippe
, 208
Hbase
, 64
Healthcare service ecosystem
, 94
Heuristics
, 45–46
Highly developed and isolated themes
, 146
Hospitality
, 3
HTTP response splitting
, 63
HTTP REST APIs
, 63
Human resource orientation (HRO)
, 108, 116
Humane Entrepreneurship (HumEnt)
, 6, 108–111
in tourism
, 112–113
Indirect values
, 60
Industrial Internet of Things (IIoT)
, 5
Industry 4.0
, 145, 150
Information and communication technology (ICT)
, 16, 28, 77, 94, 114, 202
Information systems
, 169
of city planning cadaster
, 207
Infrastructure integration
, 185
Innovation
, 79–80, 112, 150, 162, 164, 203
InOrdinatio index
, 125, 128
Inspectability
, 100
Intelligibility
, 98
Intention–behavior gap
, 50
Inter-municipal cooperative contexts
, 37
International Communication Union (ITU)
, 203
Internet of Everything (IoE)
, 61
Internet of things (IoT)
, 2, 5, 150, 153, 183, 191
Internet of Things Search Engines (IoTSE)
, 61, 65
Interpretation
, 145–146, 148
Intervention process
, 188
Itomych Studio
, 208
JavaScript injections
, 63
Keyword frequency analysis
, 125
Kharkiv City Council
, 207
Kharkiv Smart City
, 206–208
Knowledge creation
, 80
Knowledge management
, 78–80
Knowledge sharing
, 79–80
findings
, 82–84
literature review
, 79–80
methodology
, 81–82
SMEs and
, 84
technology and
, 83
Knowledge utilization
, 80
Knowledge-based CDSS
, 97
Kyiv Smart City
, 206–208
Leadership
, 112
Learning
, 31
Legislation
, 172–173
LG networking
, 28
Linear economy models
, 7
LinkedIn data breach
, 61
Lufthansa
, 108
Machine learning (ML)
, 2, 20, 66, 96, 191
Machines
, 164
Malicious queries
, 63
Managerial actions
, 35
Material recycling
, 166
Memcached
, 66, 68
Misuse or mishandling of personal information
, 44
Mobile applications
, 164, 184
MongoDB
, 62, 64, 66, 69
Motor themes
, 146
Municipalities
, 28
MySQL
, 66, 70
National Vulnerability Database (NVD)
, 63
Neo4j
, 64
Networks
, 205
New knowledge
, 80
New Public Governance (NPG)
, 28
New Public Management (NPM)
, 28
Non-knowledge-based CDSS
, 97
NoSQL databases
, 5, 60
data leakages
, 61–62
methods and techniques for inspecting security of data storage facility
, 64–66
open databases
, 67
search engine for IoE as tool for detecting vulnerable open data sources
, 66–67
security concerns
, 62–64
Online marketing
, 46
Open data
, 164
Open databases
, 67
Open Source Intelligence (OSINT)
, 65
Open Web Application Security Project (OWASP)
, 65
Optimism bias
, 46
Organization for Economic Co-operation and Development (OECD)
, 203
OrientDB
, 64
Passive assessment
, 66
Penetration testing
, 60
Performance analysis
, 125
Performance management systems within inter-municipal context
, 33–35
Performance measurement and management systems (PMMS)
, 4, 36
Personal data
, 44
data coding and emerging themes
, 56–57
interview questions
, 55
methods
, 46–47
privacy and security
, 22–23
privacy paradox
, 45–46
results
, 47–51
Personal information
, 43
Piggy-backed queries
, 63
Policymaking
, 3
in institutions and organizations
, 21
Political institutions
, 44
Politics
, 20–22
Pollution
, 202
PostgreSQL
, 66, 69
Preferred Reporting Items for Systematic Reviews and Meta-Analysis method (PRISMA method)
, 5, 78, 80, 123
Privacy calculus theory
, 45
Privacy paradox
, 44–46, 49, 51
Privacy-breaching patterns
, 63
Process management
, 182
Property rights
, 49–50
Public policy
, 3
Quality data, challenge of obtaining
, 17–18
Reactivity
, 100
Real-time processing
, 168
Redis
, 64, 66, 69
“Reduce, reuse, and recycle” paradigm (3R paradigm)
, 7, 122
Reduce, reuse, recycle, redesign
, 130–136
Reporting
, 100
Resource coordination/integration
, 31
Resource-based-view
, 150
Risk disclosure
, 100
Science Mapping method
, 7, 144
SciMat analysis
, 7, 144
Search Engines
, 66
for IoE as tool for detecting vulnerable open data sources
, 66–67
Secure by design
, 67
Security breaches
, 61
Security concerns
, 62–64
Selection
, 187
Self-Service Business Intelligence tools
, 183
Semantic analysis
, 117
Sensors
, 20, 164
Service ecosystem
, 95
Shodan-and Binary Edge-based vulnerable open data sources detection tool (ShoBEVODSDT)
, 61, 66–67
Small data
, 16–17
Small and medium-sized enterprises (SMEs)
, 3, 81–82
context of research on
, 86
and knowledge sharing
, 84
and knowledge sharing and diffusion process
, 87
Smart city
, 202–206
algorithm model
, 208–209
co-evolutionary perspective on data-driven organization in
, 186–188
systems
, 191
Smart city 3.0, technology test bed to
, 202–205
Smart contracts
, 2
Smart integrated systems
, 21–22
Smart management
, 204
Smart nudges
, 101
Smart production systems (SPS)
, 153
Smart Sustainable City
, 202–203
implementation smart cities projects in Ukraine
, 206–208
modeling smart city algorithm
, 208–209
smart cities worldwide
, 205–206
smart city
, 202–205
Smart technologies
, 8
integrated infrastructure of
, 182
Social inclusion
, 21
Social learning
, 185
Social media services
, 164
Social networks
, 184
Social sustainability
, 111–112
Social systems
, 180, 194
Socialization, externalization, combination, and internalization model (SECI model)
, 80
Society
, 2, 20–22
Society 5.0
, 127
SQL injection
, 63
Starwood (Marriott) data breach
, 61
Static code analysis
, 64–65
Strategy
, 2, 4
Supply chain management
, 150
Sustainability
, 111, 122, 162
Sustainability orientation (SO)
, 108, 115–116
Sustainable tourism (ST)
, 6, 108–109, 111–112
Swiss Air
, 108
“Take–make–dispose” paradigm
, 122
Tautologies
, 63
Technological infrastructures
, 32
Technological platforms
, 185
Technology/technologies
, 32
savvy
, 47
technology-mediated services
, 185
test bed to smart city 3. 0
, 202–205
Telematic services
, 32
Thematic networks
, 145
Top management
, 31
Transparency
, 94
AI as operant resource for value co-creation in healthcare
, 96–100
in AI-supported systems
, 5
“augmented decision”-based model for value co-creation in healthcare
, 100–102
DDDM
, 96
problems in terms of
, 98–100
service ecosystem and value co-creation
, 95
Triple Criterion Model
, 204
Twitter data breach
, 61
Uber data breach
, 61
Ukraine
digital agenda
, 203
implementation smart cities projects in
, 206–208
Union of Municipalities (UMs)
, 4, 33, 35
Union queries
, 63
United Nations (UN)
, 8
United Nations Environment Program, World Tourism Organization (UNEP-UNWTO)
, 108
Urban data-driven approach
, 194
Urban governance (see also Digital governance)
co-evolutionary cycle in
, 192–194
in digital era
, 183–185
models
, 8
Urban Observatory program (UO program)
, 191
Urbanization
, 202
User adoption
, 46
Value co-creation
, 95
Variations
, 186
Variation–selection–retention circuit of new solutions
, 31
Visualization
, 145, 148
VulDB
, 63
Vulnerability
, 60
Vulnerable data
, 64
in motion
, 64
Waste management
, 166, 171
Weak authentication
, 63–64
Weak security
, 61
Web of Science (WoS)
, 145
Websites
, 4, 184
World Health Organization (WHO)
, 98
Yahoo data breach
, 61
ZOOM data breach
, 61
- Prelims
- Chapter 1: Big data and Decision-making: How Big Data Is Relevant Across Fields and Domains
- 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
- Chapter 3: Digital Governance for Addressing Performance Challenges Within Inter-municipalities
- Chapter 4: Misuse of Personal Data: Exploring the Privacy Paradox in the Age of Big Data Analytics
- Chapter 5: NoSQL Security: Can My Data-driven Decision-making Be Influenced from Outside?
- Part 2: Big Big Data and Its Application Across Policy Fields
- Chapter 6: Big Data, Knowledge Sharing, and the Innovation Process: A Systematic Literature Review
- Chapter 7: Transparency in AI Systems for Value Co-creation in Healthcare
- Chapter 8: Big Data and Its Impact on Tourism and Entrepreneurship
- Chapter 9: Big Data and Digital Technologies for Circular Economy in the Agri-food Sector
- Part 3: Business and Policy-making Process Empowered by Big Data
- Chapter 10: Business Processes Powered by Big Data: Current Issues and New Research Directions
- Chapter 11: Barriers and Practical Challenges for Data-driven Decision-making in Circular Economy SMEs
- Chapter 12: A Co-evolutionary Perspective on Data-driven Organization: Highlights from Smart Cities in the Covid-19 Era
- Chapter 13: What Does It Take to Build a Smart Sustainable City? – Modeling an Algorithm of Smart Cities
- Index