Index
ISBN: 978-1-83753-417-3, eISBN: 978-1-83753-416-6
ISSN: 1569-3759
Publication date: 29 May 2023
This content is currently only available as a PDF
Citation
(2023), "Index", Tyagi, P., Grima, S., Sood, K., Balamurugan, B., Özen, E. and Eleftherios, T. (Ed.) Smart Analytics, Artificial Intelligence and Sustainable Performance Management in a Global Digitalised Economy (Contemporary Studies in Economic and Financial Analysis, Vol. 110B), Emerald Publishing Limited, Leeds, pp. 265-276. https://doi.org/10.1108/S1569-37592023000110B018
Publisher
:Emerald Publishing Limited
Copyright © 2023 Pallavi Tyagi, Simon Grima, Kiran Sood, B. Balamurugan, Ercan Özen, and Thalassinos Eleftherios
INDEX
Accounting
, 146
Actual economic activity
, 175
Administrative security controls in SME, current state of
, 35–37
Africa, effect of COVID-19 debt accumulation
, 165
Agriculture
, 133
Alternative finance models
, 102
Amazon (technology company)
, 98
Annual appraisals
, 252
Anti-black Money Act (2015)
, 126
Anti-money laundering (AML)
, 60, 172
Apple (technology company)
, 98
Artificial intelligence (AI)
, 23, 85–86, 172, 217, 244, 252–253
ability of AI and SA to improve PM systems
, 257
application of AI and SA in business processes
, 255
automating PM Systems
, 259–261
in business processes
, 255–256
classification models to predict employee performance
, 257–259
classification of AI, based on capabilities
, 253–254
classification of AI, based on functionality
, 254
competition
, 219
demographics of customers
, 219
drivers of digitisation and AI in retail
, 218
in HR management
, 259
limitations of AI and SA in PM systems
, 261–262
for mapping cybersecurity controls for SME
, 46–48
in PM systems
, 257
retail customers
, 218–219
retail digitisation using
, 219–220
super
, 254
technology and
, 218
types
, 253
Aspirational Districts Programme, The
, 88
Asset management segment
, 99
Augmented reality
, 23
Authors’ network analysis, citation as per
, 68–69
Autonomous robotics
, 23
Balance sheet lending (BSL)
, 100
Bank 4.00
, 102
Bank of Baroda
, 7, 11–12
Bank of Hindustan
, 2
Banking
, 2, 98, 206
co-operative banks
, 2
commercial banks
, 2
industry
, 205
payments banks
, 2
small finance banks
, 2
Banking, financial services, and insurance (BFSI)
, 29
Banking Regulation Act (1949)
, 2
Banks
, 205
Bibexcel
, 135
Bibliometrics
, 57, 60
analysis
, 141
of entrepreneurial universities
, 57
R Package
, 135
research
, 141
Bibliometrix
, 178
Biblioshiny
, 178
Big data
, 23, 85, 255
analytics
, 84
BigTechs
, 101
Billion Prices Project
, 87
Black box model
, 85
Black money
, 58–59
Blending data sciences in economic and social issues
, 86–87
Blockchain
, 132
content analysis
, 137–141
data analysis
, 135–137
directions for future research
, 141–142
implications
, 141
methodology
, 133–134
technology
, 132
Bombay Stock Exchange (BSE)
, 75–76
Bootstrapping methods
, 227
Bring your own device policy (BYOD policy)
, 40
Business domain-wise mission critical asset security (Business DMCAS)
, 43–44
Business to-Person lending models (B2P lending models)
, 101
Business-to-Business lending models (B2B lending models)
, 101
Businesses
, 230
AI in
, 255–256
changing priorities of CIA triad based on business domain
, 30–31
SA in
, 256–257
Buy Now Pay Later (BNPL)
, 101
C4.5 decision tree
, 258
Canara Bank
, 7, 9–10, 18
Capability maturity model (CMM)
, 26
Cashkumar (P2P lending platform)
, 107
version 2. 0
, 108
Cashkumar Peer-to-Peer Lending Platform (Cashkumar P2P Lending Platform)
, 107–108
digital lending
, 100–107
emotional analysis
, 116–117
FinTech
, 98–100, 108–109
literature review
, 108
negative reviews
, 119–120
P2P lending
, 109–111
positive reviews
, 118–119
research methodology
, 112
sentiment analysis perspective
, 111–112
theoretical background
, 107
Castle approach
, 28
Casual conversations
, 250
Central Bank
, 193
Central bank digital currency (CBDC)
, 190
Central Bank of Nigeria
, 190
CIA triad
assess priority of CIA triad for DMCA
, 43
changing priorities of CIA triad based on business domain
, 30–31
CIA trinity
, 27
Citation network analysis
, 67–68
citation as per authors’ network analysis
, 68–69
Cloud computing
, 23, 86
Co-authorship analysis
, 60
Co-authorship network analysis
as authors on money laundering
, 62–66
as countries
, 64–66
Co-occurrences
analysis
, 60
of keywords analysis on money laundering
, 66–69
network analysis on money laundering
, 66
Co-operative banks
, 2, 4
Commercial banking
, 2
Commercial banks
, 2
foreign banks
, 3
private sector banks
, 3
public sector banks
, 3
RRBs
, 3
Communications service providers
, 101
Companies Act
, 105
Competitive pressure
, 229
Conceptual model
constructs and items measured
, 221–223
development of
, 221
Conceptual research model
, 221
Confidence interval (CI)
, 227
Consumers
, 216
Consumption of goods and services
, 22
Content analysis
, 137, 179
digitisation of agriculture
, 140
supply chain management
, 140
sustainable economic development
, 140–141
Cooperative savings
, 59
Cooperative Societies Act (1912)
, 4
Core cybersecurity concepts
, 26–31
changing priorities of CIA triad based on business domain
, 30–31
CIA Triad
, 27
Defence in Depth
, 28–29
DMCA
, 29–30
Coronavirus
, 162
Corporation threat agents
, 24
Corruption
, 56, 124
Cost-benefit analysis
, 84
COVID 19
, 5, 218
Africa
, 165
effect of COVID-19 debt accumulation
, 164
debt crisis
, 164
debt statistics
, 162–164
Europe
, 164–165
global debt crisis
, 161
heavily indebted countries
, 167–168
and Indian Banking
, 5
literature review
, 161–162
methodology
, 161
multilateral organisations
, 166–167
pandemic
, 160, 234–235
rich countries
, 165–166
solution to overcome
, 165
Cross industry standard process for data mining (CRISP-DM)
, 257
Crowdfunding
, 99–100
Cryptocurrencies
, 98
Customer relationship management (CRM)
, 253
Customers
, 229
demographics of
, 219
screening process
, 58
Cutting-edge technology
, 58
Cyber assets
, 27
Cyber risk
, 23
Cyberattacks faced by SMEs, experience of
, 39–40
Cybercrime
, 56
Cybercriminals
, 37, 40
Cybersecurity
, 23
calculate SME’s minimum overall cybersecurity controls implementation level
, 44–45
implement prioritised cybersecurity controls for Business DMCAS
, 43–44
responsible AI for mapping cybersecurity controls for SME
, 46–48
Cybersecurity framework (CSF)
, 25
Cyberspace
, 23
Data analysis
, 224
measurement model
, 224–226
structural model
, 226–229
test
, 224
tool
, 88
Data collection
, 223–224
Data extraction
, 134
Data lags
, 91–92
Data localisation problem
, 92
Data mining
, 85
techniques
, 90
Data privacy and security
, 91
Data science
, 86
techniques
, 85
Data-driven policy, India’s stance on
, 87–89
Debt crisis
, 161, 164
Debt restructuring
, 162
Debt Service Suspension Initiative (DSSI)
, 166
Debt statistics
, 162
external debt stocks
, 162–163
massive spending by richer countries
, 163–164
sovereign default
, 164
Decision Tree
, 257
Decision-making management
, 173
Defence in depth (DiD)
, 28
Delay payments
, 204
Democratisation of opinions
, 236
Descriptive analysis
, 60
Desktops
, 40
Digital circuits
, 22
Digital government
, 87
Digital India campaigns
, 89
Digital lending
, 100
alternative finance models
, 102
ecosystem
, 100–102
functional business models in India
, 105–107
funds transfer mechanism as per RBI guidelines
, 105
global scenario
, 101
governing enactments
, 104–105
India
, 102
landscape
, 102–104
market share
, 102
Digital sentiments
, 236
Digital technologies
, 109
Digital transformation
, 216
in agriculture
, 141
Digitalisation process of banking industry
, 6
Digitisation intelligence
competition
, 219
demographics of customers
, 219
drivers of digitisation and AI in retail
, 218
retail customers
, 218–219
technology and AI
, 218
Digitisation of agriculture
, 133, 140
Digitisation transforms retailing exchanges
, 220
Directorate of Enforcement (ED)
, 126
Dirty money
, 124
Document-term matrix (DTM)
, 178
Domain-wise Least Cybersecurity Implementation Framework (DLCI Framework)
, 41
assess priority of CIA triad for DMCA
, 43
calculate SME’s DLCI Level
, 45–46
calculate SME’s DMCAS Level
, 44
calculate SME’s minimum overall cybersecurity controls implementation level
, 44–45
identify DMCA
, 41–43
implement prioritised cybersecurity controls for business DMCAS
, 43–44
responsible AI for mapping cybersecurity controls for SME
, 46–48
WCCI for SME
, 44
Domain-wise Mission Critical Asset (DMCA)
, 29–30
Domestic lending by banks
, 205
Drug trafficking
, 56
e-CNY
, 192
E-commerce
platforms
, 101
sites
, 216
Earnings management
, 146
conceptual framework
, 147
income-targeting approach
, 150–151
literature review
, 148–150
priority theory of sustainable finance
, 147–148
surplus income model
, 152–155
surplus income model for sustainability
, 151–152
Econometric models
, 84
Economic and financial performance in topic modelling framework, relationship between money laundering and
, 184–185
Economic growth (EG)
, 125, 128, 161, 173, 201
Electric vehicles infrastructure, investment target for
, 202
Electronic word of mouth (e-WOM)
, 235
Embed quality assurance
, 47
Emotion Lexicon (EmoLEX)
, 111
Emotional analysis
, 116–117
Emotions
, 116
Employees
, 245, 258
in India
, 175
narrow assessment of
, 252
performance
, 245
threat agents
, 24
eNaira
, 190, 193–195
CBDC
, 190
money
, 190
performs
, 190
speed wallet
, 196
Environmental, social and governance (ESG)
, 76, 79–81
ESG-based socially responsible investments
, 75
Indian investors looking for
, 75–76
Environmental accounting
, 149
Environmental reporting
, 146
Europe, effect of COVID-19 debt accumulation
, 164–165
European Central Bank (ECB)
, 162
External debt stocks
, 162–163
External incentives
, 154
External stakeholders
, 248
Facebook (technology company)
, 98
Federal Bank
, 7, 13–14, 18
Finance models
, 102
Financial Action Task Force (FATF)
, 58, 125
Financial crimes
action plan for resolving financial crimes using SRI–ESG model
, 81
channel for
, 77–78
effects of
, 79
terrorism financing devastating part of
, 78–79
impact of unethical investments on
, 79
Financial crisis (2008)
, 98
Financial industry
, 205
Financial institutions
, 205
in achieving sustainable economic goals
, 206–207
through priority sector lending
, 208–210
Financial markets
, 101, 104
Financial performance
Bank of Baroda
, 11–12
Canara Bank
, 9–10
co-operative banks
, 4
COVID 19 and Indian Banking
, 5
COVID 19
, 5
data analysis
, 8
data collection
, 7
Federal Bank
, 13–14
findings
, 17–18
foreign banks
, 3
HDFC Bank
, 14–15
hypothesis testing for net profit
, 16–17
hypothesis testing for NPA
, 17
ICICI Bank
, 12–13
Indian Bank
, 10–11
limitation of study
, 8
literature review
, 5–7
non-performing assets
, 4
non-scheduled banks
, 4
payments banks
, 4
private sector banks
, 3
public sector banks
, 3
research methodology
, 7
research methodology
, 8
research objectives
, 7
RRB
, 3
sample frame
, 7
schedule banks
, 4
small finance banks
, 3–4
in topic modelling framework, relationship between money laundering and economic and
, 184–185
Union Bank
, 10
Yes Bank
, 15–16
Financial services
, 98
Financial study
, 58
Financial Technology (FinTech)
, 98
branches of FinTech Industry
, 99–100
classified into the following types
, 98–99
credit
, 102
landscape
, 99
lenders
, 101
start-ups
, 109
Financing segment
, 99
Firms
, 147
Five-year planning process
, 87
Forecasting methods
, 84
Foreign Banks
, 3
Formal process in PM systems
, 249–250
Fugitive Economic Offenders Act (2018)
, 126
Functional business models in India
, 105–107
Funds transfer mechanism as per RBI guidelines
, 105
Global economy
, 160
Global reporting initiative (GRI)
, 149
Globalisation of economies
, 124
Gold medal
, 238
Goods and Service Tax
, 126
Google (Private companies)
, 91, 98
reviews
, 114
Governance
in India
, 87
reporting
, 146
Grameen Foundation, The
, 87
Green accounting
, 149
Green banking
assessing funding needed by international agency
, 205
investment target for electric vehicles infrastructure
, 202
investment target for renewable energy generation
, 201–202
investment target to set up smart cities
, 203–204
methodology
, 206
results
, 206
role of financial institutions in achieving sustainable economic goals
, 206–207
role of financial institutions through priority sector lending
, 208–210
Green development
, 210
Green energy
, 210
Green growth
, 206
Gross domestic product (GDP)
, 160, 174, 205
HDFC Bank
, 7, 14–15, 18
Human bias
, 252
Human resources (HR)
, 172, 255
AI in HR management
, 259
Human-based PM systems
, 252
Hume’s Aesthetic Theory
, 108
Hypothesis testing
for net profit
, 16–17
for NPA
, 17
ICICI Bank
, 7, 12–13, 18
ID3 decision tree
, 258
Illicit drug trafficking
, 59
IMF Fact Sheet
, 125
Income smoothing
, 151
Income-targeting approach
, 150–151
Incremental approach
, 84
India
current market trend of
, 74–75
digital lending
, 102
functional business models in
, 105–107
measurements to control money laundering terror funding in
, 125–126
retail scenario in
, 217–218
SRI in
, 75
stance on data-driven policy
, 87–89
Indian Bank
, 7, 10–11
Indian banking
industry
, 4
sector
, 2
Indian Economy
future implication of study
, 128
impacts of money laundering on
, 126–127
impacts of terror financing on
, 127–128
measurements to control money laundering terror funding in India
, 125–126
nexus of money laundering and terrorism financing
, 125
Indian government
, 90
Indian investors looking for ESG Investments
, 75–76
Industry 1.0
, 22
Industry 2.0
, 22
Industry 4.0 digitisation
, 23
Inferential research approach
, 223
Informal economy
, 174
Informal process in PM systems
, 250
Information and communications technologies (ICTs)
, 23, 88, 217
assets
, 27
Information security
, 27
Information security management system (ISMS)
, 24
Information technology
, 124
Institute for Energy Economics and Financial Analysis (IEEFA)
, 201
Insurance
, 98
Intangible assets
, 27
Integration of economies
, 124
Interest-bearing eNaira
, 194–195
Internal stakeholders
, 248
International agency, assessing funding needed by
, 205
International Energy Agency (IEA)
, 205
International Monetary Fund (IMF)
, 163, 175
International Standards Organization
, 260
Internet of Things (IoT)
, 23, 84, 86, 255
Investment
, 98
management
, 175
target for electric vehicles infrastructure
, 202
target for renewable energy generation
, 201–202
target to set up smart cities
, 203–204
IP Act (2000)
, 91
Keynesian model
, 193
Know Your Customer (KYC)
, 106
Knowledge management cybersecurity
, 40
Laptops
, 40
Latent Dirichlet allocation (LDA)
, 179
Lender’s Club
, 110
Lending policies
, 205
Lending practices
, 206
Link strength
, 137
Logical controls
, 35
Machine learning (ML)
, 86, 257
Malware assaults
, 39
Management accounting
, 148
Managerial discretion
, 147
Managers and employees
, 245–246
Market share
, 102
Marketers
, 218
Marketplace lending (MPL)
, 100
Massive data analysis approach
, 59
Measurement model of data analysis
, 224–226
Medal
, 238
Mendeley database
, 133
Mentor–Protege relationship
, 250
Micro, small and medium enterprises (MSMEs)
, 208
Microsoft (Private companies)
, 91
Minerals
, 30
Mission critical assets
, 29
MIT Sloan School of Management
, 87
Modern banking
, 2
Money
, 56
Money laundering
, 60, 79, 124, 172–173
analysis of word cloud
, 181
annual trend of publication
, 61
citation network analysis
, 67–69
co-authorship network analysis
, 62
co-authorship network analysis as authors on
, 62
co-authorship network analysis as countries
, 64–66
co-occurrences network analysis on
, 66–67
countries analysis
, 62
data and methodology
, 175–179
descriptive analysis
, 179–180
historical background of
, 58–60
impacts of money laundering on Indian economy
, 126–127
investigating TF-IDF
, 182–184
link between words
, 181
literature review
, 173–175
measurements to control money laundering terror funding in India
, 125–126
nexus of
, 125
relationship between money laundering and economic and financial performance in topic modelling framework
, 184–185
research methodology and data
, 60
results
, 61
sources analysis
, 61–62
Money lending, old concept of
, 100
Mordor Intelligence
, 89
Naïve Bayes classifiers
, 258
Narcotic Drugs and Psychotropic Substances Act (NDPS)
, 59
NASSCOM
, 89
National Association of Securities Dealer Automated Quotations, The
, 98
National Strategy for Artificial Intelligence by NITI Aayog
, 88
Natural catastrophes
, 24, 34
Natural disasters
, 34
Neo banks
, 101
Net profit, hypothesis testing for
, 16–17
Netnograhphy
, 236
Nigeria CBDC
, 190
current features of
, 193–194
interest-bearing eNaira
, 194–195
literature review
, 191–193
no transaction costs
, 195
redesigning
, 194
security
, 195–196
NIRAMAI
, 88
NIST
, 25
NITI Aayog
, 88
Non-banking financial corporations (NBFCs)
, 100, 206
Non-performing Assets
, 4
Non-performing loans (NPL)
, 162
Non-scheduled banks
, 2, 4
Normalisation
, 178
NPA, hypothesis testing for
, 17
Offline P2P lending
, 100
Olympic Games Tokyo (2020)
, 237
Olympics
, 240
destination
, 234
players
, 239
Online P2P lending platforms
, 100, 109–110
Online platforms
, 40
Opaque system
, 252
Open Government Data (OGD)
, 87
Opensource Stack software
, 87
Oracle (Private companies)
, 91
Organisation-owned devices
, 40
Organisational goals
, 246
Organisations
, 244
Organised retailers
, 230
Organised retailing
, 221, 223
Palantir Technologies (American software company)
, 87
Pandemic
, 160
Parallel economy
, 124
Partial least square (PLS)
, 224
Payment
, 191
Payments Banks
, 2, 4
Performance appraisal (PA)
, 244
Performance assessments
, 249
Performance improvement, notifications of
, 249–250
Performance management systems
, 244–245
AI and SA
, 252–257
AI and SA in PM systems
, 257–262
components of
, 245–246
formal processes
, 249–250
informal processes
, 250
inputs to PM systems
, 250–251
issues in current PM systems
, 251–252
monitoring
, 246–247
outputs from PM systems
, 251
planning
, 246
principles of PM systems
, 248–249
processes in PM systems
, 249
reviewing
, 247
rewarding
, 247
stakeholders in PM systems
, 247–248
tasks in PM Systems
, 246
Person-to-Business lending models (P2B lending models)
, 101
Person-to-Person lending models (P2P lending models)
, 101, 109–111
crediting
, 109
elements
, 100
lending platforms
, 100–101, 106
lending services
, 104
Physical retailers
, 216
Physical security
current state of physical security controls in SME
, 34
measures
, 34
Physical stores
, 217
Planning–programming–budgeting system
, 84
Platform lending
, 100
Policy-making process
, 84
in India
, 87
Predictive modelling techniques
, 85
Prevention of Money Laundering Act (PMLA)
, 59, 126
Priority sector lending
role of financial institutions through
, 208–210
Priority theory of sustainable finance
, 147–148
PRISMA 2020 Flow Diagram
, 133
Private Banks
, 8, 18
Private companies
, 91
Private giants
, 89
Private Sector Banks
, 3
Production-linked Incentive Scheme (PLI Scheme)
, 207
Profitability
, 5
of Indian banks
, 7
Programmable integrated circuits (PLCs)
, 22
Public policies
, 84
Public Sector Banks
, 3, 8, 18
Python application
, 112, 114
Qualitative research techniques
, 85
Quality assessment
, 134
Quasi-legal enterprises
, 56
Real-time resource monitoring techniques
, 85
Refugee Olympic
, 237
Regional Rural Banks (RRB)
, 2–3
Relative frequency
, 183
Renewable energy
, 22, 201, 207
investment target for renewable energy generation
, 201–202
Research methodology
, 85
Reserve Bank of India (RBI)
, 2, 6, 99, 207
funds transfer mechanism as per RBI guidelines
, 105
Reserve Bank of India Act (1934)
, 2, 4
Resource allocation
, 76
Retail business analytics
, 219
Retail customers
, 218–219
Retail digital promotion
, 220–221
Retail industry
, 221
Retail scenario in India
, 217–218
Retail stores
, 216
Retailers
, 216–217, 229
Retailing
, 220
data analysis
, 224–229
data collection
, 223–224
development of conceptual model
, 221–223
drivers of digitisation and AI in retail
, 218–219
implications of study
, 229–230
limitation, scope for further research
, 230
literature review and hypothesis development
, 217
research methodology
, 223–223
research objectives
, 217
retail digital promotion
, 220–221
retail digitisation using AI
, 219–220
retail scenario in India
, 217–218
Reward system
, 247
Rio Olympic (2016)
, 236
Scalability
, 252
Schedule Banks
, 4
Scheduled banks
, 2
Search strategy
, 133
Security awareness training for employees in SMEs, frequency of
, 37–38
Security controls in SME, current state of
, 34
Security objectives
, 27, 29
Selection criterion
, 133–134
Sentiment analysis
, 238
method
, 114
perspective
, 111–112
Sentiments
, 236
Sin stocks
, 80
Small and Medium Enterprises (SME)
, 22, 31
age of
, 32
analysis of research interview results
, 41
analysis of research survey results
, 32
biggest problems faced by SMEs implementing or deciding/planning to implement cybersecurity controls
, 38–39
core cybersecurity concepts
, 26–31
current state of administrative security controls in
, 35–37
current state of implemented standards or framework in
, 32–33
current state of physical security controls in
, 34–35
current state of security controls in
, 34
current state of technical security controls in
, 35
DLCI framework
, 41–48
DLCI Level
, 45–46
DMCAS Level
, 44
experience of cyberattacks faced by
, 39–40
frequency of security awareness training for employees in
, 37–38
literature review
, 24–26
methodology
, 31–32
minimum overall cybersecurity controls implementation level, calculate
, 44–45
responsible AI for mapping cybersecurity controls for
, 46–48
WCCI for
, 44
Small and medium-sized businesses (SMBs)
, 23, 101
Small business owners
, 109
Small finance banks
, 2–4
Smart Analytics
, 252, 254–255
ability of AI and SA to improve PM systems
, 257
AI in HR management
, 259
application of AI and SA in business processes
, 255
automating PM Systems
, 259–261
benefits of
, 255
classification models to predict employee performance
, 257–259
limitations of AI and SA in PM systems
, 261–262
in PM systems
, 257
SA in business processes
, 256–257
Smart cities, investment target to set up
, 203–204
Social accounting
, 148
Social media
, 219, 235
Social reporting
, 146
Socially responsible investments (SRI)
, 74–76, 79–81
action plan for resolving financial crimes using SRI–ESG Model
, 81
current market trend of SRI in India
, 74–75
effects of financial crimes
, 79
ESG and SRI
, 79–81
findings of study
, 77
heterogeneity
, 76
in India
, 75
investors
, 74
limitations of study
, 77
research gap
, 77
research methodology
, 77
review of literature
, 76–77
socially responsible investing
, 75–76
SRI’s classical economics
, 76
terrorism financing is devastating part of financial crime
, 78–79
impact of unethical investments on financial crimes
, 79
unethical investors
, 77–78
Software applications
, 41
Solar energy generation
, 201
Sports
, 234
fan
, 234
marketers
, 239
marketing
, 239
Stakeholders
participation
, 149
in PM Systems
, 247–248
Startup Chile programme
, 107
State Bank of India (SBI)
, 2
Statistical Data Analysis
, 224
Stimulus–Organism–Response theory (SOR theory)
, 235
Structural equation modelling (SEM)
, 224
Structural model of data analysis
, 224, 226–229
Study technique
, 178
Supply chain management
, 140
Surplus income model
, 146, 152
illustration
, 153–154
implication of model
, 154–155
implications for managers
, 155
relevant sustainability activity or project
, 152–153
for sustainability
, 151–152
tax rebate
, 153
total profit
, 152
Sustainability
, 147, 206
accounting rule-making
, 149
Sustainable development
, 147, 200, 206
Sustainable development goals (SDGs)
, 147, 200
Sustainable economic development
, 140–141
Sustainable economic goals, role of financial institutions in achieving
, 206–207
Sustainable firm
, 147
Sustainable growth in India
, 206
System security engineering (SSE)
, 26
t-test
, 18
Tax rebate
, 153
Teamwork
, 249
Tech Mahindra (Private giants)
, 89
Tech-Fins
, 98
Technical controls
, 35
Technical security controls in SME, current state of
, 35
Technology
, 132
and AI
, 218, 221
companies
, 98
Technology and AI–organisation and environmental model (TOE)
, 222
Technology governance
blending data sciences in economic and social issues
, 86–87
India’s stance on data-driven policy
, 87–89
research objectives and methodology
, 85–86
thematic findings and discussion
, 89–93
Telecom
, 22
Term frequency-inverse document frequency (TF-IDF)
, 179
investigating TF-IDF
, 182–184
Terror financing on Indian economy, impacts of
, 127–128
Terrorism
, 59
Terrorism financing
, 79
devastating part of financial crime
, 78–79
nexus of
, 125
Terrorist threat agents
, 24
Text analysis
, 175, 178
Text data engineering methods
, 178
Threat agents
, 24
Tokyo Olympic (2020)
, 234
data analysis and findings
, 236–239
literature review
, 235–236
research methodology
, 236
Tokyo Olympic Organising Committee
, 234
Topic modelling
, 179
relationship between money laundering and economic and financial performance in
, 184–185
Total profit
, 152
Traditional action theories
, 236
Traditional PM systems
, 252
Transparency
, 149
Turing Test
, 253
Twitter
, 234
content analysis
, 236
data
, 236
sentiments
, 235
Ukraine’s anti-money laundering system
, 59
Unethical investments on financial crimes, impact of
, 79
Unethical investors
, 77–78
Unified payments interface (UPI)
, 6
Union Bank
, 7, 10
United Nations Convention 2000 (UN Convention 2000)
, 56
United States National Security Agency
, 28
User interface (UI)
, 118
Variance inflationary factor (VIF)
, 224
Visual analysis
, 60
VOS viewer program
, 60, 135
Vulnerability
, 23
Water watchers (app)
, 87
Web applications
, 40
Web of Science
, 173
Wholistic Cybersecurity Controls Implementation (WCCI)
, 44
Wireless communication
, 22
World Trade Organisation
, 23
Yes Bank
, 7, 15–16, 18
Zero Trust principle
, 25
Zipf’s law
, 179, 182
- Prelims
- Chapter 1: COVID 19 and Financial Performance of Banks in India: Impact and Implications
- Chapter 2: Importance of Least Cybersecurity Controls for Small and Medium Enterprises (SMEs) for Better Global Digitalised Economy
- Chapter 3: Money Laundering: A Bibliometric Review of Three Decades from 1990 to 2021
- Chapter 4: Socially Responsible Investments – A Quick Fix for Financial Crimes
- Chapter 5: Technology Governance: A New and Effective Way of Governance and Policy-making for the Economies All Over the World
- Chapter 6: User Sentiment Analysis of Cashkumar Peer-to-Peer (P2P) Lending Platform: Based on Google Reviews
- Chapter 7: An Assessment of Money Laundering and Terrorism Financing on the Indian Economy
- Chapter 8: Mapping the Literature on Implementation of Blockchain in Agriculture: A Systematic Review
- Chapter 9: Earnings Management for Sustainability: The Surplus Income Model of Sustainable Development
- Chapter 10: The COVID-19 Global Debt Crisis: How to Avoid It
- Chapter 11: Mapping the Field. A Text Analysis of Money Laundering Research Publications
- Chapter 12: Redesigning the eNaira Central Bank Digital Currency (CBDC) for Payments and Macroeconomic Effectiveness
- Chapter 13: Green Banking – The Path Leading to Sustainable Economic Growth
- Chapter 14: Digitisation and Artificial Intelligence in Retailing Sector – Key Drivers
- Chapter 15: A Study on Twitter Sentiment Analysis in TOKYO 2020 OLYMPIC
- Chapter 16: Smart Analytics and AI for Managing Modern Performance Management Systems
- Index