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City, Society, and Digital Transformation : Proceedings of the 2022 INFORMS International Conference on Service Science / Robin Qiu ... [et al.] editors
| City, Society, and Digital Transformation : Proceedings of the 2022 INFORMS International Conference on Service Science / Robin Qiu ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | viii, 477 p. : ill. ; 24 cm |
| Soggetto non controllato |
Digital Healthcare
Digital Transformation Immersive Technologies Service Digitalization Smart City and Community Smart Service Systems |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0276958 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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City, Society, and Digital Transformation : Proceedings of the 2022 INFORMS International Conference on Service Science / Robin Qiu ... [et al.] editors
| City, Society, and Digital Transformation : Proceedings of the 2022 INFORMS International Conference on Service Science / Robin Qiu ... [et al.] editors |
| Pubbl/distr/stampa | Cham, : Springer, 2022 |
| Descrizione fisica | viii, 477 p. : ill. ; 24 cm |
| Soggetto topico |
00B25 - Proceedings of conferences of miscellaneous specific interest [MSC 2020]
68-XX - Computer science [MSC 2020] 90-XX - Operations research, mathematical programming [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] |
| Soggetto non controllato |
Digital Healthcare
Digital Transformation Immersive Technologies Service Digitalization Smart City and Community Smart Service Systems |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00276958 |
| Cham, : Springer, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Cybersecurity in Digital Transformation : Scope and Applications / Dietmar P.F. Möller
| Cybersecurity in Digital Transformation : Scope and Applications / Dietmar P.F. Möller |
| Autore | Möller, Dietmar P. F. |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xix, 114 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
94-XX - Information and communication theory, circuits [MSC 2020] |
| Soggetto non controllato |
Anomaly Detection
Attach Models and Scenarios Cyber Threat Intelligence Cybersecurity Cybersecurity Leadership Cybersecurity Ontology Deep Learning Digital Transformation Intrusion Detection and Intrusion Prevention Machine learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0248955 |
Möller, Dietmar P. F.
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Cybersecurity in Digital Transformation : Scope and Applications / Dietmar P.F. Möller
| Cybersecurity in Digital Transformation : Scope and Applications / Dietmar P.F. Möller |
| Autore | Möller, Dietmar P. F. |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xix, 114 p. : ill. ; 24 cm |
| Soggetto topico |
68-XX - Computer science [MSC 2020]
94-XX - Information and communication theory, circuits [MSC 2020] |
| Soggetto non controllato |
Anomaly Detection
Attach Models and Scenarios Cyber Threat Intelligence Cybersecurity Cybersecurity Leadership Cybersecurity Ontology Deep Learning Digital Transformation Intrusion Detection and Intrusion Prevention Machine learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00248955 |
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Möller, Dietmar P. F.
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| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Digital transformation in Norwegian Enterprises / / editors, Patrick Mikalef, Elena Parmiggiani
| Digital transformation in Norwegian Enterprises / / editors, Patrick Mikalef, Elena Parmiggiani |
| Autore | Mikalef Patrick |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2022 |
| Descrizione fisica | 1 online resource (xiv, 196 pages) : illustrations (some color) |
| Altri autori (Persone) |
MikalefPatrick
ParmiggianiElena |
| Soggetto topico |
Business enterprises - Norway
Technological innovations - Norway - Management |
| Soggetto non controllato |
Digital Transformation
Disruptive Technologies Innovation Management Digitization Digitalization Service Science Norwegian Industry Information Systems |
| ISBN | 3-031-05276-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | An Introduction to Digital Transformation The Case of Norway and Digital Transformation over the Years Part I: Private Enterprises From Integrated to Remote Operations: Digital Transformation in the Energy Industry as Infrastructuring The Norwegian Mobile Telephony and Internet Markets Digital Transformation in Renewable Energy: Use Cases and Experiences from a Nordic Power Producer From Intention to Use to Active Use of a Mobile Application in Norwegian ETO Manufacturing Part II: Public Enterprises Digital Transformation in NAV IT 2016–2020: Key Factors for the Journey of Change Improving Digitization of Urban Mobility Services with Enterprise Architecture Operating Room of the Future (FOR) Digital Healthcare Transformation in the Age of Artificial Intelligence Part III: Synthesis A Framework for Digital Transformation for Research and Practice: Putting Things into Perspective The Way Forward: A Practical Guideline for Successful Digital Transformation Concluding Remarks and Final Thoughts on Digital Transformation |
| Record Nr. | UNISA-996478860503316 |
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Mikalef Patrick
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| Cham, : Springer Nature, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Die digitale transformation im gesundheitswesen : transformation, innovation, disruption / / David Matusiewicz, Christian Pittelkau, Arno Elmer (Hrsg.) ; mit beiträgen von M. Addam [and seventy-nine others]
| Die digitale transformation im gesundheitswesen : transformation, innovation, disruption / / David Matusiewicz, Christian Pittelkau, Arno Elmer (Hrsg.) ; mit beiträgen von M. Addam [and seventy-nine others] |
| Autore | Matusiewicz David |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | MWV Medizinisch Wissenschaftliche Verlagsgesellschaft, 2018 |
| Descrizione fisica | 1 online resource (355 pages) : illustrations |
| Disciplina | 610.285 |
| Soggetto topico | Medical care - Technological innovation |
| Soggetto non controllato |
Medicine
Innovation Transformation Disruption Health system E-Health Digital Transformation Arzt Gesundheitssystem Informationstechnik Patient |
| ISBN |
3-95466-358-9
3-95466-357-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Nota di contenuto |
Intro -- Titel -- Inhalt -- Geleitwort -- Vorwort -- I Einführung -- 1 Electronic Health (E-Health) und Mobile Health (mHealth) - Ein Definitionsversuch - David Matusiewicz und Christian Thielscher -- 2 Zwischenruf: „Disruption ist disruptiv" oder das „Undenkbare denken"! - Heinz Lohmann -- 3 Von der digitalen Apathie zur digitalen Empathie - Wege in eine patientenzentrierte Informationskultur - Joss Hertle -- 4 Sozialpsychologie und Digitale Gesundheit - Technosapiens - Bertolt Meyer -- 5 Automotive Health - Was das Automobil mit Gesundheit zu tun hat - David Matusiewicz und Manfred Knye -- II Rahmenbedingungen -- 1 eHealth - Wie die digitale Vernetzung unser Gesundheitssystem zukunftssicher macht - Katja Leikert -- 2 Evolution der medizinischen Fortbildung durch Blended Learning und Mobile Learning - Jörg Ansorg -- 3 Politische Perspektiven für die Zukunft der digitalen Gesundheit - Maik Beermann -- 4 Herausforderung Interoperabilität - Standards für die digitale Gesundheitsversorgung - Mathias Aschhoff -- 5 Der lange Weg zur persönlichen eAkte: Digitalisieren, strukturieren, qualifizieren und dann elektronifizieren - Stefan Müller-Mielitz -- 6 Regionale Netzwerke als Katalysatoren für die digitale Transformation - Leif Grundmann -- 7 Veränderung von Berufen im Gesundheitswesen durch E-Health - Klaus Juffernbruch -- III Krankenkassen -- 1 Krankenkassen im Sog der Digitalisierung - Helmut Gerhards -- 2 Digitalisierung - Gesundheitskasse neu denken - Christian Klose -- 3 Digitalisierung aus Versichertensicht - Gertrud Demmler, Eva Scherwitz und Anja Schweitzer -- 4 Vom Markt getrieben oder den Markt mitgestalten - Perspektiven für die Krankenkassen - Johannes Thormählen -- 5 Medizin zwischen Arzt und Algorithmus - Digitale Revolution auch in der Versorgung? - Thomas Ballast.
6 Digitalisierung in der Gesetzlichen Krankenversicherung - Im Niemandsland zwischen Bürde und Chance - Franz Knieps -- 7 Der Uber-Moment in der Krankenversicherung - Evelyn Kade-Lamprecht -- IV Krankenhaus -- 1 Zurück in die Zukunft - Wie Deutschlands Krankenhäuser den Anschluss an die Digitalisierung zurückgewinnen - Bernhard Calmer -- 2 Von der Dekonstruktion von Geschäftsfeldern bis zur Disruption von Geschäftsmodellen - Pierre-Michael Meier -- 3 Warum die Digitalisierung keine disruptiven Sprünge in der Gesundheitsversorgung auslöst, wohl aber eine Revolution der Versorgungsstrukturen zur Folge hat - Matthias Meierhofer -- 4 IT-Unterstützung im Zuweisermanagement - Was Geomarketing-Tools und Zuweiserportale leisten - Christian Pittelkau -- 5 E-Health im Krankenhauswesen - Standortbestimmung und Ableitung strategischer Handlungsfelder durch Reifegradmodelle - Konrad Fenderich, David Matusiewicz, Vanessa Gieseler und Steffen Fleßa -- 6 Gesundheitsbeziehungen - Neue Wege der Kommunikation - Frank Stratmann -- 7 Motor und Turbo - Was ist der richtige Ansatz für eine IT der zwei Geschwindigkeiten? - Peter Gocke -- V Ambulante Versorgung -- 1 Die digitale Arztpraxis - Vision oder Fiktion? - lens Naumann -- 2 Patientenversorgung 4.0 - Suprasektoral und individualisiert - Lutz-O. Freiberg -- 3 Elektronische Gesundheitskarte und Selbstverwaltung - Irrungen, Wirrungen und Verwirrtheiten - Franz Bartmann -- 4 Digitalisierung in der Hausarztpraxis - Ulrich Weigeldt -- 5 Warten auf den Innovationssprung - Warum („noch mehr") Digitalisierung die ambulanten Leistungserbringer derzeit kaum begeistert - Andreas Rühle -- 6 Digitalisierter Bürger, analoge Klinik - Wie schließen wir die Lücke? - Michael Franz -- 7 Morgen noch kräftig zubeißen - Zahnmedizin 4.0 - Björn Eggert und Bernd Kordaß -- VI Pharma und Apotheken. 1 Digitale Transformation aus Sicht der Pharmaindustrie - Klaus Suwelack -- 2 Digital Health Standort Deutschland - Brauchen wir eine Moonshot-Strategie? - Birgit Fischer, Kirsten Hoyer und Stefan Höcherl -- 3 Innovative Arzneimittelversorgung - Christian Buse -- VII Pflege -- 1 Marktplätze in der Pflege - Konsolidierung und Effizienzsteigerung durch Digitalisierung - Maximilian Greschke -- 2 Pflege mit Plan - Digitalisierung entlastet Angehörige - Frank Neumann -- 3 Ein Plädoyer für ein Bewusstsein für die Qualität und Bedeutsamkeit der Sprache auch im Prozess der Digitalisierung in der Pflege - Britta March -- 4 Lean Nursing - Effiziente Pflege auf digitalen Workflows - Heiko Mania -- VIII Dienstleistung und Medizintechnik -- 1 Crossing the paper chasm: Warum Digitalisierung den Point of Care erreichen muss - oder nicht stattfindet - Holger Cordes -- 2 Vom Stethoskop zur Blockchain - Technologische Disruption im Gesundheitswesen - Sebastian Krolop -- 3 Technik, bis der Arzt kommt? Was Smart-Health-Lösungen im Gesundheitsbereich leisten können - Und was nicht - Tim Lange -- 4 Health-IT Transformation im Kontext der Medizin und Public Health - Mustapha Addam -- 5 Noch krank? Selber schuld! Gesundheit 2040 - Björn Zeien -- 6 Digitale Transformation durch eLearning - Bernhard Breil -- 7 Von der distanten Zwangskooperation zur integrierten Best-Practice-Patientenversorgung? Welchen Beitrag die Digitalisierung zur patientenorientierten Optimierung der Krankenhaus-Einweiser-Beziehung leisten kann - Klaus-Dieter Thill -- IX Entrepreneure und Start-ups -- 1 Patientenorientierte Gesundheitsinformationen - Von Null auf Digital - Ansgar Jonietz -- 2 Von der Bedeutungslosigkeit des Praxiswartezimmers - Christian Gondek, Shabnam Fahimi-Weber und David Matusiewicz. 3 Der Einfluss von Digital Leadership auf Organisationen im Gesundheitswesen - Steffi Burkhart und Stephan Grabmeier -- 4 Körperliche Aktivität stabilisiert die Erbinformation - Wie eine App dem Krebs den Kampf ansagt - Thomas Widmann -- X Forschung und Beratung -- 1 Smart Culture in Healthcare - Arno Elmer -- 2 Digitalisierung für mehr analogen gesundheitlichen Wohlstand - Astrid Böger -- 3 Digitale Transformation: Keine Frage des OB, sondern des WIE - Ein Kommentar - Günther Illert -- 4 Digitale Versorgung für chronisch Kranke - Jasper zu Putlitz -- 5 Heutige IT-Systemarchitekturen und Digitalisierung: Ein Widerspruch? - Martin Staemmler -- 6 Der große Wurf? - Ein analytischer Blick auf die erste Förderrunde im Innovationsfonds - Thilo Zelt -- 7 Medizinische Evidenz in der Praxis - Was können niedergelassene Ärzte von Digital Health erwarten? - Tim Züwerink -- 8 Digitale Gesundheit - Fluch oder Segen? - Volker Penter und Kevin Pfaffner -- 9 Daten - Führt der Weg über Blockchain zu Big Data? - Alois G. Steidel -- 10 Die digitale Transformation - X-Health für den Patienten - Britta Böckmann -- 11 Persönliche Beratung im Gesundheitswesen - Risiken und Nutzen in der Kommunikation durch die Digitalisierung - Kristina Stenzel -- 12 Nutzerorientierung als Leitgedanke von technologischen Innovationen im Gesundheitswesen - Christoph Dockweiler -- 13 Qualität ist, was der virtuelle Kunde will - Fehlende Kundenorientierung als hausgemachtes Problem - Thomas Breisach -- XI Datenschutz und Compliance -- 1 Datenschutz - Ein Luxus für Gesunde? - Albrecht Kloepfer -- 2 Datenschutz - Beweggrund, Begleiter oder Bürde der digitalen Transformation? - Ingo Mleczeck -- 3 IT-Compliance im digitalisierten Gesundheitswesen - Thomas Althammer. 4 Informationssicherheitsmanagement als Basis für eine erfolgreiche Digitalisierung im Gesundheitswesen - Thomas Jäschke und Jan Domnik -- XII Fazit - Arno Elmer -- Die Herausgeber -- Impressum. |
| Record Nr. | UNINA-9910264053003321 |
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Matusiewicz David
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| MWV Medizinisch Wissenschaftliche Verlagsgesellschaft, 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Dynamic Quality Models and Games in Digital Supply Chains : How Digital Transformation Impacts Supply Chain Quality Management / Pietro De Giovanni
| Dynamic Quality Models and Games in Digital Supply Chains : How Digital Transformation Impacts Supply Chain Quality Management / Pietro De Giovanni |
| Autore | De Giovanni, Pietro |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xix, 134 p. : ill. ; 24 cm |
| Soggetto topico |
90B06 - Transportation, logistics and supply chain management [MSC 2020]
90B50 - Management decision making, including multiple objectives [MSC 2020] 91A80 - Applications of game theory [MSC 2020] 90B05 - Inventory, storage, reservoirs [MSC 2020] |
| Soggetto non controllato |
Coordination mechanisms
Digital Transformation Dynamic Games Quality management supply chain management |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN0274712 |
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De Giovanni, Pietro
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Dynamic Quality Models and Games in Digital Supply Chains : How Digital Transformation Impacts Supply Chain Quality Management / Pietro De Giovanni
| Dynamic Quality Models and Games in Digital Supply Chains : How Digital Transformation Impacts Supply Chain Quality Management / Pietro De Giovanni |
| Autore | De Giovanni, Pietro |
| Pubbl/distr/stampa | Cham, : Springer, 2021 |
| Descrizione fisica | xix, 134 p. : ill. ; 24 cm |
| Soggetto topico |
90B05 - Inventory, storage, reservoirs [MSC 2020]
90B06 - Transportation, logistics and supply chain management [MSC 2020] 90B50 - Management decision making, including multiple objectives [MSC 2020] 91A80 - Applications of game theory [MSC 2020] |
| Soggetto non controllato |
Coordination mechanisms
Digital Transformation Dynamic Games Quality management Supply chain management |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNICAMPANIA-VAN00274712 |
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De Giovanni, Pietro
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| Cham, : Springer, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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The Elements of Big Data Value [[electronic resource] ] : Foundations of the Research and Innovation Ecosystem
| The Elements of Big Data Value [[electronic resource] ] : Foundations of the Research and Innovation Ecosystem |
| Autore | Curry Edward |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
| Descrizione fisica | 1 online resource (412 p.) |
| Altri autori (Persone) |
MetzgerAndreas
ZillnerSonja PazzagliaJean-Christophe García RoblesAna |
| Soggetto topico |
Information retrieval
Business & management Research & development management Information technology industries Databases |
| Soggetto non controllato |
Information Storage and Retrieval
Business and Management, general Innovation/Technology Management The Computer Industry Big Data Innovation and Technology Management Technology Commercialization Digital Transformation Innovation Spaces Data-Driven Innovation Data Analytics Technology Management Data Ecosystems Data Protection Big Data Business Models Open Access Information retrieval Data warehousing Business & Management Research & development management Industrial applications of scientific research & technological innovation Information technology industries Databases |
| ISBN | 3-030-68176-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464495403316 |
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Curry Edward
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| Cham, : Springer International Publishing AG, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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The Elements of Big Data Value : Foundations of the Research and Innovation Ecosystem
| The Elements of Big Data Value : Foundations of the Research and Innovation Ecosystem |
| Autore | Curry Edward |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
| Descrizione fisica | 1 online resource (412 p.) |
| Altri autori (Persone) |
MetzgerAndreas
ZillnerSonja PazzagliaJean-Christophe García RoblesAna |
| Collana | Computer Science Series |
| Soggetto topico |
Information retrieval
Business & management Research & development management Information technology industries Databases |
| Soggetto non controllato |
Information Storage and Retrieval
Business and Management, general Innovation/Technology Management The Computer Industry Big Data Innovation and Technology Management Technology Commercialization Digital Transformation Innovation Spaces Data-Driven Innovation Data Analytics Technology Management Data Ecosystems Data Protection Big Data Business Models Open Access Information retrieval Data warehousing Business & Management Research & development management Industrial applications of scientific research & technological innovation Information technology industries Databases |
| ISBN | 3-030-68176-9 |
| Classificazione | BUS042000BUS070030BUS087000COM021000COM030000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Foreword -- Foreword -- Preface -- Acknowledgements -- Contents -- Editors and Contributors -- Part I: Ecosystem Elements of Big Data Value -- The European Big Data Value Ecosystem -- 1 Introduction -- 2 What Is Big Data Value? -- 3 Strategic Importance of Big Data Value -- 4 Developing a European Big Data Value Ecosystem -- 4.1 Challenges -- 4.2 A Call for Action -- 4.3 The Big Data Value PPP (BDV PPP) -- 4.4 Big Data Value Association -- 5 The Elements of Big Data Value -- 5.1 Ecosystem Elements of Big Data Value -- 5.2 Research and Innovation Elements of Big Data Value -- 5.3 Business, Policy and Societal Elements of Big Data Value -- 5.4 Emerging Elements of Big Data Value -- 6 Summary -- References -- Stakeholder Analysis of Data Ecosystems -- 1 Introduction -- 2 Stakeholder Analysis -- 3 Who Is a Stakeholder? -- 4 Methodology -- 4.1 Phase 1: Case Studies -- 4.2 Phase 2: Cross-Case Analysis -- 5 Sectoral Case Studies -- 6 Cross-Case Analysis -- 6.1 Technology Adoption Stage -- 6.2 Data Value Chain -- 6.3 Strategic Impact of IT -- 6.4 Stakeholder Characteristics -- 6.5 Stakeholder Influence -- 7 Summary -- References -- A Roadmap to Drive Adoption of Data Ecosystems -- 1 Introduction -- 2 Challenges for the Adoption of Big Data Value -- 3 Big Data Value Public-Private Partnership -- 3.1 The Big Data Value Ecosystem -- 4 Five Mechanism to Drive Adoption -- 4.1 European Innovation Spaces (i-Spaces) -- 4.2 Lighthouse Projects -- 4.3 Technical Projects -- 4.4 Platforms for Data Sharing -- 4.4.1 Industrial Data Platforms (IDP) -- 4.4.2 Personal Data Platforms (PDP) -- 4.5 Cooperation and Coordination Projects -- 5 Roadmap for Adoption of Big Data Value -- 6 European Data Value Ecosystem Development -- 7 Summary -- References -- Achievements and Impact of the Big Data Value Public-Private Partnership: The Story so Far.
1 Introduction -- 2 The Big Data Value PPP -- 2.1 BDV PPP Vision and Objectives for European Big Data Value -- 2.2 Big Data Value Association (BDVA) -- 2.3 BDV PPP Objectives -- 2.4 BDV PPP Governance -- 2.5 BDV PPP Monitoring Framework -- 3 Main Activities and Achievements During 2018 -- 3.1 Mobilisation of Stakeholders, Outreach, Success Stories -- 4 Monitored Achievements and Impact of the PPP -- 4.1 Achievement of the Goals of the PPP -- 4.2 Progress Achieved on KPIs -- 4.2.1 Private Investments -- 4.2.2 Job Creation, New Skills and Job Profiles -- 4.2.3 Impact of the BDV PPP on SMEs -- 4.2.4 Innovations Emerging from Projects -- 4.2.5 Supporting Major Sectors and Major Domains with Big Data Technologies and Applications -- 4.2.6 Experimentation -- 4.2.7 SRIA Implementation and Update -- 4.2.8 Technical Projects -- 4.2.9 Macro-economic KPIs -- 4.2.10 Contributions to Environmental Challenges -- 4.2.11 Standardisation Activities with European Standardisation Bodies -- 5 Summary and Outlook -- References -- Part II: Research and Innovation Elements of Big Data Value -- Technical Research Priorities for Big Data -- 1 Introduction -- 2 Methodology -- 2.1 Technology State of the Art and Sector Analysis -- 2.2 Subject Matter Expert Interviews -- 2.3 Stakeholder Workshops -- 2.4 Requirement Consolidation -- 2.5 Community Survey -- 3 Research Priorities for Big Data Value -- 3.1 Priority `Data Management´ -- 3.1.1 Challenges -- 3.1.2 Outcomes -- 3.2 Priority `Data Processing Architectures´ -- 3.2.1 Challenges -- 3.2.2 Outcomes -- 3.3 Priority `Data Analytics´ -- 3.3.1 Challenges -- 3.3.2 Outcomes -- 3.4 Priority `Data Visualisation and User Interaction´ -- 3.4.1 Challenges -- 3.4.2 Outcomes -- 3.5 Priority `Data Protection´ -- 3.5.1 Challenges -- 3.5.2 Outcomes -- 4 Big Data Standardisation -- 5 Engineering and DevOps for Big Data -- 5.1 Challenges. 5.2 Outcomes -- 6 Illustrative Scenario in Healthcare -- 7 Summary -- References -- A Reference Model for Big Data Technologies -- 1 Introduction -- 2 Reference Model -- 2.1 Horizontal Concerns -- 2.1.1 Data Visualisation and User Interaction -- 2.1.2 Data Analytics -- 2.1.3 Data Processing Architectures -- 2.1.4 Data Protection -- 2.1.5 Data Management -- 2.1.6 Cloud and High-Performance Computing (HPC) -- 2.1.7 IoT, CPS, Edge and Fog Computing -- 2.2 Vertical Concerns -- 2.2.1 Big Data Types and Semantics -- 2.2.2 Standards -- 2.2.3 Communication and Connectivity -- 2.2.4 Cybersecurity -- 2.2.5 Engineering and DevOps for Building Big Data Value Systems -- 2.2.6 Marketplaces, Industrial Data Platforms and Personal Data Platforms (IDPs/PDPs), Ecosystems for Data Sharing and Innovat... -- 3 Transforming Transport Case Study -- 3.1 Data Analytics -- 3.2 Data Visualisation -- 3.3 Data Management -- 3.4 Assessing the Impact of Big Data Technologies -- 3.5 Use Case Conclusion -- 4 Summary -- References -- Data Protection in the Era of Artificial Intelligence: Trends, Existing Solutions and Recommendations for Privacy-Preserving T... -- 1 Introduction -- 1.1 Aim of the Chapter -- 1.2 Context -- 2 Challenges to Security and Privacy in Big Data -- 3 Current Trends and Solutions in Privacy-Preserving Technologies -- 3.1 Trend 1: User-Centred Data Protection -- 3.2 Trend 2: Automated Compliance and Tools for Transparency -- 3.3 Trend 3: Learning with Big Data in a Privacy-Friendly and Confidential Way -- 3.4 Future Direction for Policy and Technology Development: Implementing the Old and Developing the New -- 4 Recommendations for Privacy-Preserving Technologies -- References -- A Best Practice Framework for Centres of Excellence in Big Data and Artificial Intelligence -- 1 Introduction -- 2 Innovation Ecosystems and Centres of Excellence. 2.1 What Are Centres of Excellence? -- 3 Methodology -- 4 Best Practice Framework for Big Data and Artificial Intelligence Centre of Excellence -- 4.1 Environment -- 4.1.1 Industry -- 4.1.2 Policy -- 4.1.3 Societal -- 4.2 Strategic Capabilities -- 4.2.1 Strategy -- 4.2.2 Governance -- 4.2.3 Structure -- 4.2.4 Funding -- 4.2.5 People -- 4.2.6 Culture -- 4.3 Operational Capabilities -- 4.4 Impact -- 4.4.1 Economic Impact -- 4.4.2 Scientific Impact -- 4.4.3 Societal Impact -- 4.4.4 Impact Measured Through KPIs -- 5 How to Use the Framework -- 5.1 Framework in Action -- 6 Critical Success Factors for Centres of Excellence -- 6.1 Challenges -- 6.2 Success Factors -- 6.3 Mechanisms to Address Challenges -- 6.4 Ideal Situation -- 7 Summary -- References -- Data Innovation Spaces -- 1 Introduction -- 2 Introduction to the European Data Innovation Spaces -- 3 Key Elements of an i-Space -- 4 Role of an i-Space and its Alignment with Other Initiatives -- 5 BDVA i-Spaces Certification Process -- 6 Impact of i-Spaces in Their Local Innovation Ecosystems -- 7 Cross-Border Collaboration: Towards a European Federation of i-Spaces -- 8 Success Stories -- 8.1 CeADAR: Ireland´s Centre for Applied Artificial Intelligence -- 8.2 CINECA -- 8.3 EGI -- 8.4 EURECAT/Big Data CoE Barcelona -- 8.5 ITAINNOVA/Aragon DIH -- 8.6 ITI/Data Cycle Hub -- 8.7 Know-Center -- 8.8 NCSR Demokritos/Attica Hub for the Economy of Data and Devices (ahedd) -- 8.9 RISE/ICE by RISE -- 8.10 Smart Data Innovation Lab (SDIL) -- 8.11 TeraLab -- 8.12 Universidad Politécnica de Madrid/Madrid´s i-Space for Sustainability/AIR4S DIH -- 9 Summary -- Reference -- Part III: Business, Policy, and Societal Elements of Big Data Value -- Big Data Value Creation by Example -- 1 Introduction -- 2 How Can Big Data Transform Everyday Mobility and Logistics?. 3 Digitalizing Forestry by Harnessing the Power of Big Data -- 4 GATE: First Big Data Centre of Excellence in Bulgaria -- 5 Beyond Privacy: Ethical and Societal Implications of Data Science -- 6 A Three-Year Journey to Insights and Investment -- 7 Scaling Up Data-Centric Start-Ups -- 8 Campaign Booster -- 9 AI Technology Meets Animal Welfare to Sustainably Feed the World -- 10 Creating the Next Generation of Smart Manufacturing with Federated Learning -- 11 Towards Open and Agile Big Data Analytics in Financial Sector -- 12 Electric Vehicles for Humans -- 13 Enabling 5G in Europe -- 14 Summary -- References -- Business Models and Ecosystem for Big Data -- 1 Introduction -- 2 Big Data Business Approaches -- 2.1 Optimisation and Improvements -- 2.2 Upgrading and Revaluation -- 2.3 Monetising -- 2.4 Breakthrough -- 3 Data-Driven Business Opportunities -- 4 Leveraging the Data Ecosystems -- 4.1 Data-Sharing Ecosystem -- 4.2 Data Innovation Ecosystems -- 4.3 Value Networks in a Business Ecosystem -- 5 Data-Driven Innovation Framework and Success Stories -- 5.1 The Data-Driven Innovation Framework -- 5.2 Examples of Success Stories -- 5.2.1 Selectionnist -- 5.2.2 Arable -- 6 Conclusion -- References -- Innovation in Times of Big Data and AI: Introducing the Data-Driven Innovation (DDI) Framework -- 1 Introduction -- 2 Data-Driven Innovation -- 2.1 What Are Business Opportunities? -- 2.2 Characteristics of Data-Driven Innovation -- 2.3 How to Screen Data-Driven Innovation? -- 3 The ``Making-of´´ the DDI Framework -- 3.1 State-of-the-Art Analysis -- 3.2 DDI Ontology Building -- 3.3 Data Collection and Coding -- 3.3.1 Selection Criteria -- 3.3.2 Sample Data Generation -- 3.3.3 Coding of Data -- 3.4 Data Analysis -- 4 Findings of the Empirical DDI Research Study -- 4.1 General Findings -- 4.2 Value Proposition -- 4.3 Data -- 4.4 Technology. 4.5 Network Strategies. |
| Record Nr. | UNINA-9910488709403321 |
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Curry Edward
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| Cham, : Springer International Publishing AG, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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