Index
2023; Emerald Publishing Limited; Linguagem: Inglês
10.1108/s1569-37592023000110a017
ISSN1569-3759
Tópico(s)Energy, Environment, Economic Growth
ResumoCitation (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. 110A), Emerald Publishing Limited, Leeds, pp. 303-313. https://doi.org/10.1108/S1569-37592023000110A017 Publisher: Emerald Publishing Limited Copyright © 2023 Pallavi Tyagi, Simon Grima, Kiran Sood, B. Balamurugan, Ercan Özen, and Thalassinos Eleftherios INDEX Abstracts world cloud analysis, 217–218 Academic studies, 69 Access to finance, 237 Accuracy, 141 Adjusted market inefficiency magnitude (AMIM), 30 ADMutate, 147 Adoptive market hypothesis (AMH), 29 of constituent cryptocurrency, 38 data, 32 descriptive statistics, 34–40 econometric model, 32–34 policy implications, 40–41 review of literature, 30–32 Adversary Learned Inference (ALI), 299 Akaike Information criteria (AIC), 34, 252 Alert correlation, 148–149 Alpha2, 147 Amazon DeepLens, 296 Anomaly-based detection systems, 133, 141 Anomaly-based IDS (AIDS), 148 Anti-money laundering, 157 Anticipated crime, 206 Apache Struts, 141 Arab spring, 168–169 Arbitration mechanism, 193 Artificial intelligence (AI), 46, 68, 86, 192–193, 237, 263 challenges of cyber security, 47 data challenges, 49 definition, 110 dimensions, 263 intervention in education–policy implications and challenges, 269–275 ISM MICMAC analysis, 276–281 key barriers and sources, 48 lack of awareness, 49 lack of budget, 48 lack of IT infrastructure, 48 limitations in incorporating, 276 literature review, 47–50 low AI adoption, 49 low regulations, 49–50 managerial implications, 60–61 non-supportive environment, 49 personalisation and improved learning outcomes, 265–269 research methodology, 50–59 resistance to learning, 47 results, 59–61 talent shortage, 48 technologies, 86 theoretical and practical implications, 60 underwhelming performance, 50 unproven technology, 49 Working Group, 193 Artificial Intelligence in Education (AIEd), 265 Artificial Neural Network(ing) (ANN), 68, 298 Assault, 138 Augmented Dickey-Fuller Fisher Chi-Square test (ADF test), 35, 252 Author’s co-citation analysis, 224 Autoencoder model, 141 Automatic Portmanteau test (AP test), 29, 33 Automatic Variance Ratio (AVR), 29 Automation, 105 Autonomous barriers, 58 Average Variance Extracted (AVE), 161 Baby boomers, 48 Back-end system, 291 Banking digitalisation, legal framework for, 112–113 Banking industry, 114 Banks, 102 account in digital banks, 118 allow opening digital bank account at home, 118 profile to open, 118 verify digital bank account, 118–119 Barriers, 47 Bayesian information criteria (BIC), 252 BERT, 81 Best New Digital Bank Vietnam 2021, 124 Bibliographic coupling, 211 Bibliographic pair, 211 Bibliometric analysis, 195, 210 Bibliometric method, 194 Bibliometric review, 194 Bibliometrics-based publications, 210 Bibliometrix algorithm, 210 Biblioshiny, 210 Bidirectional causality, 254 Bidirectional LSTMs, 298–299 Big Data, 193, 263 BiGAN, 299 Bitcoin, 28–30, 41 Cash, 28, 31 cointegration, 31 Blockchain blockchain-based system, 193 technology, 29 Bonsai tree algorithm, 299 Booking. com, 68–69 BoostML tool, 120, 122 Branch management, 107 Branch-centric, product-focused archetype, 106 Bribery, 157 Broadcasting model, 87 BTC-USD series, 30 Budget budget/fiscal transparency, 173 institutions, 171 lack of, 48 Budget Hotels (BH), 70 findings and implications, 78–81 online reviews, 71 TripAdvisor, 71–78 Business executives, 236–237 partners, 194 Business model (BM), 2–3, 6–7 business activities, 8 common themes in business models, 9–11 evolution, 11–12 firm performance and, 15 IIRC’s business model, 13–14 inputs, 7–8 in IR, 7 outcomes, 8 outputs, 8 structure, 12 value creation through BM, 7–9 Cake, 115 Capitals, 6 in business model, 12 categorisation and description, 6 Central government primary balance (PBLC), 180 Channels, 105–106 Chatbots, 192 Chi-square test, 95 Citation analysis, 211 Citizen-focused, contingency-value approach, 174 Claims handling, 192 Classification approach, 158 Clet, 147 Client care, 192 Cluster analysis of publications, 217 abstracts’ world cloud and treemap analysis, 217–218 authors and documents clustering by coupling, 218–221 Co-citation, 211 author’s co-citation analysis, 224 intellectual structure using, 224 journal co-citation analysis, 227 papers co-citation analysis, 226 Co-word, 211 Code. org, 268 Coefficient of institutional quality, 177–178 Cointegration, 29 of Bitcoin, 31 Commercial banks, 111 Comparative analysis model, 87 Compliance, 157 unit, 158–159 Computational linguistics, 69 Computer Assisted Learning (CAL), 266 Computer vision, 292–293 Connectivity, 105 framework, 91 Consumer decision path, 109 Consumer-adopted technology, 105 Convolutional neural networks (CNNs), 290, 298 Corporate reporting, 2–3 CountDown, 147 Coupling, authors and documents clustering by, 218–221 Crime, 157 crime-economic model, 206 Critical flow model, 87 Cross-impact matrix, 58 Cryptoassets, 31 Cryptocurrency, 28, 130 market, 29 Culture, 157 Customer data understanding, 107–108 Customer experience, 106–107 Cuttle Fish algorithm, 141, 146–147 Cyberattacks, 130, 133–134, 138–139 Cybercrime, 47 Cybersecurity, 131 challenges of, 47 Data collection strategy, 143 Data extraction process, 9 Data mining, 69, 265 Data Mining in Education (EDM), 265 Data-Driven Decision Making (DDDM), 266 Decisioning, 105 Decisions, 105 tree, 264 Deep learning (DL), 46, 72–74, 264, 292–293, 297–298 (see also Machine learning (ML)) model, 141–142 Deep neural network, 74 DeepSense, 294 DEMATEL method, 277 Dependent barriers, 59 Descending gradient technique, 300 Descriptive analysis, 211 author impact, 214–216 cluster analysis of publications, 217–221 conceptual structure, 222–224 countries’ prosperity, 214 growth of papers, 211 intellectual structure using co-citation analysis, 224–227 most referenced papers, 214 social structure based on analysis of authors, countries and institutions collaboration networks, 227–228 source’s importance, 211–214 trend topics and three plots field, 216–217 Diagraph development, 55 Dickey and Fuller test, 33 Digital bank, 114 Digital banking, 102 AI definition, 110 archetypes, 106 close digital bank account, 120 customer, 108–110 customer segment, 109–110 development target for 2030 in Vietnam, 114–115 digitising bank operating processes for, 108 elements, 105 factors supporting development of, 110–113 fees, 120 five pillars of digital banking development in Vietnam, 113–114 general situation, 115–120 habits of using banking services, 111–112 implication, 125 infrastructure for development, 111 legal framework for banking digitalisation, 112–113 literature review, 104–110 multichannel managing, 106–108 population structure, 111 positioning, 105–106 services, 119–120 usage, 119–120 Digital government, 170 Digital middle services, 109 Digital services, 169 Digital showcases, center for, 107 Digital SMEs, 110 Digital technologies, 108–109 Digital transformation, 102, 112 journeys of Vietnamese commercial banks with AI and big data appliances, 120–124 Digitallocker, 90 Digitally proficient services, 109 Digitisation, 86 Disparity, 157 Dogecoin, 29, 40–41 Domestic financial development (DFD), 178, 180 Duqu virus, 138 E-advocacy model, 88 Early harvest program, 90 Econometric model, 32–34 Economic performance, 205 Economic sustainable development, 234 Economic theory, 69 Ecosystem business models, 11 Edge computing devices, 291–292 Edge devices, 290 Education, 267 Education Management Information System (EMIS), 266 Educational assessment or evaluation, 262 Educational institutions, 268 Educator-facing AI tools, 264 Electronic governance (E-gov), 86, 169, 180 benefits of study, 88 conceptual framework, 88–89 data analysis and interpretation, 91–95 findings, 95 framework, 90 hypothesis, 88 hypothesis testing, 95–97 index, 178 literature review, 89–90 models, 87–88 opportunities for E-governance mechanism, 90–91 public governance implications of AI deployment in government, 88 recommendations, 185–186 research methodology, 175–179 results, 179–185 review of literature, 169–175 as SMART Governance, 87 t-test, 95 theoretical and empirical review, 170–175 Electronic government (e-government), 156, 170 conceptual framework, 158–160 data analysis, 161–162 formulation of hypothesis, 160 mediation effect, 163 research methodology, 160–161 review of literature, 158–160 structural model assessment, 162 theoretical framework, 158 Electronic Know Your Customer (eKYC), 123 Electronic tax scheme, 159 Elsevier, 143 End SARS protest, 168–169 End-to-end process digitisation, 108 Engle and Granger method, 34 Ensemble fuzzy approach, 147 Entertainment devices, 295 Environmental, social, and governance (ESG), 4 Environmental sustainable development, 234 EOS, 28, 31 Error Correction Method (ECM), 36 ESCORICS, 143 Ethereum, 28, 31, 41 Ethereum, 29 EU Code Week, 268 Exchange rate movement, 172 Exfiltration, 137 False alarm rate, 141 FD4 algorithm approach, 31 Feasible generalized least squares estimation (FGLS estimation), 179 Feed-forward neural network (FNN), 70–71, 74–75, 81 Final-reachability-matrix (FRM), 52 conical form, 55 development, 55 Financial capital, 12 Financial criminals, 157 Financial inclusion, 234 existing literature, 235–237 linking financial inclusion to sustainable development through sustainability, 237–238 to sustainable development, 238–239 theories, 237 Financial institutions, 239 reputation for probity, 205 Financial loss, 130 Financial performance, 3, 205–206 Fintech companies, 111 Firm performance, 15 Fiscal governance, 172 Fiscal performance (FP), 168, 180, 185 index, 190 recommendations, 185–186 research methodology, 175–179 results, 179–185 review of literature, 169–175 theoretical and empirical review, 170–175 Fiscal transparency, 168, 170 Fixed effects, 179 Fuzzy Ensemble Association (EFA), 141 Fuzzy Logic, 68 GDP per capita (GDPPC), 180 GDPC coefficient, 177 Gen X, 48 Gender analysis, 246 Gender disparity, 246 Gender inequalities, 245 bibliometric analysis of literature, 247–249 data and methodology, 249–253 empirical results, 253–255 literature review, 245–249 Generalised panel method of moments (GMM), 174 Generation Y, 48, 110 Generative adversarial network (GAN), 298–299 Genetic Algorithm, 68 Gephi, 210 Global Card for Mobile Communication (GSM), 104 Global Sustainable Competitiveness Index (GSCI), 249 Google Map, 68 Google Scholar, 143 Governance mechanism, 87–89 systems, 2 Government initiatives for E-governance in India, 90 Granger representation theorem, 34 Gross domestic product (GDP), 158 Gross government investment (GGI), 178, 180 Hannan–Quinn information criteria (HQIC), 252 Hinge loss function, 300 Horizontal privilege escalation, 136 Hospitality industry, 71 Host-based IDS, 133 Hudson Yards smart city development, 295 Human capital, 12, 245 Hybrid detection systems, 133 Hybrid intrusion detection system (HIDS), 148 Hybrid-based IDS, 133 Hyper ledger fabric, 194 Hyperledger Fabric & Ethereum, 193 IEEE, 143 Illegal trade, 29 Im, Pesaran and Shin W-Stat (IPS), 252 Image captioning, 46 Incremental learning algorithm, 292 Independent barriers, 59 Information and communication technology (ICTs), 173 Information technology, 170 Initial-reachability-matrix (IRM), 54–55 Innovation, 105, 236 model, 157 Innovation and Technology Task Force (EX Task Force), 193 Institutional quality (INS), 180 Insurance data analysis, 195–200 firms, 192 literature retrieval and selection, 195 premiums, 194 research methodology, 194–195 research objective, 194 review of literature, 193–194 Title-Abs-Key, 195 Insurers, 192 Integrated access devices, 290 Integrated reporting (IR), 2–4 business model in, 6–9 capitals in business model, 12 categorisation and description of capitals, 6 common themes in business models, 9–11 evolution of business model concept, 11–12 findings, 9 firm performance and business model, 15 IIRC framework, 4–6 literature, 20–26 quality of business model IR disclosures, 14–15 research methodology, 9 value creation, 15 Intelligent automation technologies, 192 Intelligent virtual reality (IVR), 263 Interactive service model, 88 International Integrated Reporting Council (IIRC), 2, 4 business model, 13–14 content elements, 4–6 framework, 4 guiding principles, 4 International Labour Organization (ILO), 246 International Monetary Fund (IMF), 28, 158, 169, 204 Internet of Things (IoT), 290, 294–295 Interoperability standards, 91 Interpretative-structural-modelling (ISM), 50–52 construction of ISM model, 55–58 MICMAC analysis, 276–281 Intrusion Action Based Correlation Framework (IACF), 142, 149 Intrusion Detection Systems (IDS), 130–134 for detecting malicious traffic, 147–148 host-based, network-based and hybrid-based, 132 intrusion alerts predict future attack strategies, 148–149 passive and active, 132 trained for zero-day attacks, 149 against zero-day attacks, 144–147 Intrusion identification accuracy using edge computing, 297 IT infrastructure, lack of, 48 Jarque-Bera test, 35 Johansen cointegration test, 36, 39 Johansen method, 34 Johansen test, 32 Journal co-citation analysis, 227 JumpCallAdditive, 147 K-nearest neighbour algorithm (K-NN), 298–299 Kaizen strategy, 70 Keyword co-occurrence analysis, 222–224 Khan Academy, 268 Kitchen appliances, 295 Lag debt stock, 172 LDA, 81 Learner-facing AI tools, 264 Learning, 264, 268 Learning analytics (LA), 265, 272 Least Developed Countries (LDCs), 175 Leviathan theory, 171 Levin, Lin, and Chu test (LLC), 252 Leximancer, 210 Lifelong learning, 268 Linkage barriers, 59 Litecoin, 28, 29–31, 41 Lonely Planet, 68 Long short-term memory (LSTM), 298 Machine learning (ML), 46, 68–69, 71, 264, 290 algorithms, 297–300 applications, 292–295 benefits of online reviews and analysis using, 72–74 in edge computing devices, 291–292 intrusion identification accuracy using edge computing, 297 ML-based appliances, 295–297 Malaysian banking institutions, 159 Management, 244 Market efficiency, 29 Market experts, 28 Massive Open Online Courses (MOOCs), 268 Matriced-Impacts-croises-multiplication-applique-classment (MICMAC), 58 autonomous barriers, 58 dependent barriers, 59 independent barriers, 59 linkage barriers, 59 Maximum Eigenvalue statistic, 34 MCA, structure of conceptual map of thematic areas using, 222 Mean average precision (MAP), 298 Mediation effect, 163 Military Commercial Joint Stock Bank (MB), 115, 122–123 Mobile banking, 104 Modernisation concept, 157 Monero, 29, 41 Money laundering (ML), 156–157, 204–205 activities, 29 data and methodology, 210–211 descriptive analysis, 211–228 essential papers on subject of research, 207–209 literature review, 206–207 Money Laundering Control Act of 1986, 157 Money Laundering Reporting Officers (MLROs), 159 Multi-layered approach, 142 Multichannel and customer-centric archetype, 106 Multilayer feed-forward (MLF), 75 Multiple criterion decision-making (MCDM), 276 My.gov. in, 90 Nam A Commercial Join Stock Bank (Nam A Bank), 124 Narcotics, 29 Natural Language Processing (NLP), 74, 268, 293 Network analysis, 210 Network detection systems, 144 Network functions, 294 Network-based IDS, 133 Non-cash payments, 112 programs and policies, 102 Non-governmental organisations (NGOs), 4 Null hypothesis, 34 OCB OMNI, 115 Occupy Wall Street movements, 168–169 Offerings, 105–106 ONEBANK digital ecosystem, 124 Online banking, 104 Online hospitality platforms, 68 Online public services, 169 Online reviews, 71 Organisations, 2, 236 adoption, 47 business strategy, 3 performance, 69 profile, 3 value creation process, 3 Organization for Economic Cooperation and Development (OECD), 204 Panel estimation technique, 179 Panel Vector Autoregressive model (PVAR), 252–253 Papers co-citation analysis, 226 Pearson correlation test, 95 Performance Improvement Theory (PI), 69–70 Pex, 147 Phased-guard, 142 Philips-Perron Fisher Chi-Square test (PP test), 252 Pooled OLS, 179 Population growth (POP growth), 178, 180 Positive Theory of Government Deficit, 170 Poverty reduction, 235 Power Ministry, 86 Power Transformed Joint Variance ratio, 29 Prediction of intrusion, 148 Predictive algorithms, 273 Price appreciation, 30 Price volatility, 28–29 Principal component analysis (PCA), 177, 190 Principal-agent theory, 171, 176 Privilege escalation, 136 Productivity, 267–268 ProFuzzer, 141 ProtoNN, 299 Psychological theory, 69 Public debt, 170–171 Public external debt stock (EXDEBT), 180 Public governance, 175 Public sector management, 172 Python software, 81 Quality of business model IR disclosures, 14–15 Quantitative analysis, 249 Questionnaire development, 52 conical form of FRM, 55 construction of ISM model, 55–58 development of FRM, 55 diagraph development, 55 IRM, 54–55 MICMAC analysis, 58–59 reachability matrix partition, 55 SSIM, 52 R software, 81 Radio Frequency Identification (RFID), 291 RAID, 143 Random effects, 179 Reachability matrix partition, 55 Recurrent neural network (RNN), 298–299 Reinforcement Learning, 298 Resistance to learning, 47 Resource-rich country (RES), 178, 180 Resources, 6 Retail investor, 28 Ripple, 28, 31 Risk management, 157 Runtime verification techniques, 141 S&P500 index series, 30–31 Safety devices, 296 Sankey diagram, 216 Schooling, 268 Schumpeterian innovation, 15 Scopus database, 195 Search strategy, 143 Secure delivery frameworks, 91 Self-directed and digital-centric archetype, 106 Sentiment analysis (SA), 70–71 of Indian BHs, 70 using Natural Language Processing, 74 7/7 Digital banks, 118–119 Short Message Service (SMS), 104 Short-term causality, 34 Signature-based detection systems, 48, 133 Signature-based IDS (SIDS), 147 Simple, moral, accountable, responsive, transparent, E-governance (SMART governance), 87 Simulations, 253 Single LSTM, 298 Single-layered training function, 75 Small and medium-sized businesses (SMBs), 107 Small and medium-sized enterprises (SMEs), 110 Smart City, 294 Smart glasses, 296 Smart wearables, 296–297 Smartphones, operating systems on, 119 Social dimension, 239 Social sustainable development, 234 Sound fiscal policy, 168 Springer, 143 Stakeholders, 2, 4 Statistical methods, 70 Stellar, 29, 40–41 Structural model assessment, 162 Structural-Self-Interaction-Matrix (SSIM), 52–53, 278 Study exclusion strategy, 143 Study inclusion strategy, 143 Supervised Learning, 298 Support Vector Machine (SVM), 141, 300 Sustainability, 234, 245–246 linking financial inclusion to sustainable development through sustainability, 237–238 literature, 236–237 Sustainable competitiveness, 245 Sustainable development, 234, 246 (see also Questionnaire development) financial inclusion to, 238–239 linking financial inclusion to sustainable development through sustainability, 237–238 studies on, 235–236 Sustainable development goals, 235, 246 Swarm Intelligence System, 68 System-call Sequence-to-Sequence model, 142 System-facing AI tools, 264 Systematic method, 262 Systems theory, 69 Talent shortage, 48 Tarang, 90 Task Force, 193 Tax smoothing model, 170 Technology amalgamation, 262 Technology integration, 262–263 Terrorism, 29 Text-based reviews, 69 Theft/fraud recognition, 192 Tien Phong Commercial Joint Stock Bank (TP Bank), 120–122 Timo Plus, 115, 119 Tnex, 115 Tourism industry, 68 TP Live-Bank, 115, 119 Trace statistic, 34 Traditional sustainability, 4 Transparency, 157 Treasury bill rate, 172 Tree main theories, 69 Tree-based ML algorithms, 299–300 Treemap analysis, 217–218 TripAdvisor, 68–69, 71 benefits of online reviews and analysis using machine learning, 72–74 data analysis, 76–78 FNN, 74–75 previous studies, 73 web scraping, 75–76 Unbanked adults, 239 Underwriting, 192 Unsupervised Learning, 298 User reviews, 69 User-generated content (UGC), 68 Valance, 72 Value chain, 3 Value creation process, 2–3, 15 Value generation process, 2 Value network, 15 Variance Ratio test, 33 VCB DigiBank, 115 Vector Autoregressive model (VAR model), 172 Vector error correction model model (VECM model), 31, 34, 39 Vertical privilege escalation, 136 Video synthesis, 46 VideoEdge, 296 Vietnam, 102, 111 digital banking development target for 2030 in, 114–115 five pillars of digital banking development in, 113–114 general situation of digital banking development in, 115–120 Vietnam Prosperity Joint Stock Commercial Bank (VPBank), 123–124 NEO, 123 Vietnamese commercial banks, 102–103 Vigil system, 296 Virtual agents, 263 Voice imitation, 46 VOS viewer method, 194–195, 210 Wald test, 29 for testing short-run causality, 40 Walker Gravity Model, 157 Weak governance, 178 Web 2.0 technology, 68 Web crawler, 71 Web crawling, 69 Web of Science, 210, 247 Web scraping, 69, 75 data collection, 75 data preprocessing, 76 Web services, 292 Web-ICT, 173 Working Group (WG), 193 World Bank, 28 Zero-day attacks, 130, 140 IDS trained for, 149 intrusion detection systems against, 144–147 Zero-day vulnerabilities, 130 intrusion detection systems, 131–134 materials and methods, 143–144 results, 144–149 review, 140–143 taxonomy of attacks, 134–138 Book Chapters Prelims Chapter 1: A Review of Business Model Disclosures in Integrated Reporting Chapter 2: Adaptive Market Hypothesis and Cointegration: An Evidence of the Cryptocurrency Market Chapter 3: Modelling the Barriers of Artificial Intelligence Adoption in the Organisations: An Interpretive Structural Modelling and MICMAC Analysis Chapter 4: Performance Improvement in Budget Hotels Through Consumer Sentiment Analysis Using Text Mining Chapter 5: Studying the Effect of Artificial Intelligence on E-Governance Chapter 6: The Development of Digital Banking: A Case Study of Vietnam Chapter 7: Augmenting Cybersecurity: A Survey of Intrusion Detection Systems in Combating Zero-day Vulnerabilities Chapter 8: Investigation of the Role of Compliance Unit as a Mediator Between E-Government and Money Laundering Chapter 9: E-Governance and Fiscal Performance in Sub-Saharan Africa: Reappraising the Role of ICT in Public Sector Management Chapter 10: Artificial Intelligence and Machine Learning in Insurance: A Bibliometric Analysis Chapter 11: The Effect of Money Laundering on the Economic and Financial Performance of an Economy: A Bibliometric Analysis Chapter 12: Financial Inclusion, Sustainability and Sustainable Development Chapter 13: Gender Inequality in Management and Sustainable Competitiveness Chapter 14: Artificial Intelligence: The New Tool of Disruption in Educational Performance Assessment Chapter 15: Machine Learning-Based Smart Appliances for Everyday Life Index
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