Index

Abstract

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, Bingley, 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 Book Chapters 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