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Contextual Process Digitalization [[electronic resource] ] : Changing Perspectives – Design Thinking – Value-Led Design / / by Albert Fleischmann, Stefan Oppl, Werner Schmidt, Christian Stary
Contextual Process Digitalization [[electronic resource] ] : Changing Perspectives – Design Thinking – Value-Led Design / / by Albert Fleischmann, Stefan Oppl, Werner Schmidt, Christian Stary
Autore Fleischmann Albert
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, : Springer Nature, 2020
Descrizione fisica 1 online resource (X, 275 p. 165 illus., 86 illus. in color.)
Disciplina 004
Soggetto topico Application software
Management information systems
Industrial management
Organization
Planning
Computer Appl. in Administrative Data Processing
Business Process Management
Information Systems Applications (incl. Internet)
Business Information Systems
Soggetto non controllato Computer Appl. in Administrative Data Processing
Business Process Management
Organization
Information Systems Applications (incl. Internet)
Business Information Systems
Open Access
S-BPM
Design Thinking
Workflow Management
Public administration
Information technology: general issues
Business mathematics & systems
Organizational theory & behaviour
Information retrieval
Internet searching
ISBN 3-030-38300-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Motivation -- 2 Models -- 3 Modeling Languages -- 4 Contemporary Challenges in Business Process Modeling / Management -- 5 From Modeling to Digitalization -- 6 Preparation of Process Implementation -- 7 Realization -- 8 Industrial Use Case.
Record Nr. UNINA-9910404119603321
Fleischmann Albert  
Cham, : Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Contextual Process Digitalization [[electronic resource] ] : Changing Perspectives – Design Thinking – Value-Led Design / / by Albert Fleischmann, Stefan Oppl, Werner Schmidt, Christian Stary
Contextual Process Digitalization [[electronic resource] ] : Changing Perspectives – Design Thinking – Value-Led Design / / by Albert Fleischmann, Stefan Oppl, Werner Schmidt, Christian Stary
Autore Fleischmann Albert
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham, : Springer Nature, 2020
Descrizione fisica 1 online resource (X, 275 p. 165 illus., 86 illus. in color.)
Disciplina 004
Soggetto topico Application software
Management information systems
Industrial management
Organization
Planning
Computer Appl. in Administrative Data Processing
Business Process Management
Information Systems Applications (incl. Internet)
Business Information Systems
Soggetto non controllato Computer Appl. in Administrative Data Processing
Business Process Management
Organization
Information Systems Applications (incl. Internet)
Business Information Systems
Open Access
S-BPM
Design Thinking
Workflow Management
Public administration
Information technology: general issues
Business mathematics & systems
Organizational theory & behaviour
Information retrieval
Internet searching
ISBN 3-030-38300-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Motivation -- 2 Models -- 3 Modeling Languages -- 4 Contemporary Challenges in Business Process Modeling / Management -- 5 From Modeling to Digitalization -- 6 Preparation of Process Implementation -- 7 Realization -- 8 Industrial Use Case.
Record Nr. UNISA-996465455503316
Fleischmann Albert  
Cham, : Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Data Science for Economics and Finance [[electronic resource] ] : Methodologies and Applications / / edited by Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana
Data Science for Economics and Finance [[electronic resource] ] : Methodologies and Applications / / edited by Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana
Autore Consoli Sergio
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (XIV, 355 p. 56 illus., 44 illus. in color.)
Disciplina 006.312
Soggetto topico Data mining
Machine learning
Management information systems
Big data
Application software
Information storage and retrieval
Data Mining and Knowledge Discovery
Machine Learning
Business Information Systems
Big Data/Analytics
Computer Appl. in Administrative Data Processing
Information Storage and Retrieval
Soggetto non controllato Data Mining and Knowledge Discovery
Machine Learning
Business Information Systems
Big Data/Analytics
Computer Appl. in Administrative Data Processing
Information Storage and Retrieval
IT in Business
Computer and Information Systems Applications
Open Access
Data Mining
Big Data
Data Analytics
Decision Support Systems
Semantics and Reasoning
Expert systems / knowledge-based systems
Business mathematics & systems
Public administration
Information technology: general issues
Information retrieval
Data warehousing
ISBN 3-030-66891-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data Science Technologies in Economics and Finance: A Gentle Walk-In -- Supervised Learning for the Prediction of Firm Dynamics -- Opening the Black Box: Machine Learning Interpretability and Inference Tools with an Application to Economic Forecasting -- Machine Learning for Financial Stability -- Sharpening the Accuracy of Credit Scoring Models with Machine Learning Algorithms -- Classifying Counterparty Sector in EMIR Data -- Massive Data Analytics for Macroeconomic Nowcasting -- New Data Sources for Central Banks -- Sentiment Analysis of Financial News: Mechanics and Statistics -- Semi-supervised Text Mining for Monitoring the News About the ESG Performance of Companies -- Extraction and Representation of Financial Entities from Text -- Quantifying News Narratives to Predict Movements in Market Risk -- Do the Hype of the Benefits from Using New Data Science Tools Extend to Forecasting Extremely Volatile Assets? -- Network Analysis for Economics and Finance: An application to Firm Ownership.
Record Nr. UNINA-9910484567403321
Consoli Sergio  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Data Science for Economics and Finance [[electronic resource] ] : Methodologies and Applications / / edited by Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana
Data Science for Economics and Finance [[electronic resource] ] : Methodologies and Applications / / edited by Sergio Consoli, Diego Reforgiato Recupero, Michaela Saisana
Autore Consoli Sergio
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (XIV, 355 p. 56 illus., 44 illus. in color.)
Disciplina 006.312
Soggetto topico Data mining
Machine learning
Management information systems
Big data
Application software
Information storage and retrieval
Data Mining and Knowledge Discovery
Machine Learning
Business Information Systems
Big Data/Analytics
Computer Appl. in Administrative Data Processing
Information Storage and Retrieval
Soggetto non controllato Data Mining and Knowledge Discovery
Machine Learning
Business Information Systems
Big Data/Analytics
Computer Appl. in Administrative Data Processing
Information Storage and Retrieval
IT in Business
Computer and Information Systems Applications
Open Access
Data Mining
Big Data
Data Analytics
Decision Support Systems
Semantics and Reasoning
Expert systems / knowledge-based systems
Business mathematics & systems
Public administration
Information technology: general issues
Information retrieval
Data warehousing
ISBN 3-030-66891-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Data Science Technologies in Economics and Finance: A Gentle Walk-In -- Supervised Learning for the Prediction of Firm Dynamics -- Opening the Black Box: Machine Learning Interpretability and Inference Tools with an Application to Economic Forecasting -- Machine Learning for Financial Stability -- Sharpening the Accuracy of Credit Scoring Models with Machine Learning Algorithms -- Classifying Counterparty Sector in EMIR Data -- Massive Data Analytics for Macroeconomic Nowcasting -- New Data Sources for Central Banks -- Sentiment Analysis of Financial News: Mechanics and Statistics -- Semi-supervised Text Mining for Monitoring the News About the ESG Performance of Companies -- Extraction and Representation of Financial Entities from Text -- Quantifying News Narratives to Predict Movements in Market Risk -- Do the Hype of the Benefits from Using New Data Science Tools Extend to Forecasting Extremely Volatile Assets? -- Network Analysis for Economics and Finance: An application to Firm Ownership.
Record Nr. UNISA-996464413703316
Consoli Sergio  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
E-Science : Open, Social and Virtual Technology for Research Collaboration
E-Science : Open, Social and Virtual Technology for Research Collaboration
Autore Koschtial Claudia
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (192 pages)
Altri autori (Persone) KöhlerThomas
FeldenCarsten
Collana Progress in IS
Soggetto topico Sociology
Media studies
Business mathematics & systems
Information technology: general issues
Education
Knowledge management
Soggetto genere / forma Bibliographies.
Soggetto non controllato Science and Technology Studies
Media and Communication
Business Information Systems
Computer Applications
Education, general
Knowledge Management
Science Communication
Computer and Information Systems Applications
Digital Education and Educational Technology
Open Access
Grid computing
Science 2.0
Research network
Education portal
Virtual organization
Governance
Social control
Science collaboration
Digitization
Digital research infrastructures
Cyberinfrastructure software
Sustainability
Software sustainability
Sociology
Media studies
Business mathematics & systems
Information technology: general issues
Education
ISBN 3-030-66262-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Introduction -- Acknowledgements -- References -- Contents -- Understanding e-Science-What Is It About? -- 1 Introduction -- 2 Related Work -- 3 Research Approach -- 3.1 Research Field and Methodology -- 3.2 Research Framework -- 4 Results -- 5 Discussion of Initial Results -- 6 Conclusion -- References -- Organising Academia Online -- 1 Introduction -- 2 E-Learning Organisation: Media Integration as Organisational Development -- 2.1 Online Technologies in Higher Education -- 2.2 Virtualisation in Higher Education -- 3 Change of Organisational Theories and Paradigms -- 3.1 The Research Framework: Virtual (Educational) Organisations -- 3.2 Research Methods -- 4 Discussion and Conclusions -- 4.1 Theoretical Considerations About the Functioning of Virtual Organisations in the Academic Sector -- 4.2 Forms, Instruments and Mechanisms of Control in Virtual Organisations -- 4.3 Limitations -- References -- The Fish Model: When Do Researchers Collaborate Online? -- 1 Introduction -- 2 The Fish Model: A Conceptual Framework for E-Research Collaboration -- 2.1 The Reality of Managing Scientific Tasks in Terms of the Available Time -- 2.2 Online Research Activities Led by Work-Based Beliefs -- 2.3 Support for Technology Use in Context -- 2.4 Incentives Protected by Research Ethics -- 3 Method -- 4 Results -- 4.1 The Measurement Model -- 4.2 The Structured Model -- 5 Discussion: Conclusion and Limitations -- 5.1 Conclusions -- 5.2 Limitations -- Appendix -- References -- The Use of Digital Tools in Scholarly Activities. Empirical Findings on the State of Digitization of Science in Germany, Focusing on Saxony -- 1 E-Science, Cyberscience, Science 2.0: The Digitization of Science Is on the Move -- 2 The Empirical Question: Is Digitization Really on the Move? -- 3 Hypotheses, Data, and Methods -- 4 Results.
4.1 General Level of Adoption of Digital Tools in Scholarly Activities -- 4.2 Use of Web 2.0 Tools Among Scholars -- 4.3 Disciplinary Differences -- 4.4 Changing Scholarly Practices -- 5 Summary and Discussion -- References -- Digital Research Infrastructure -- 1 Introduction -- 2 IT Infrastructure -- 3 Information Infrastructure -- 3.1 Repositories and Publication Server -- 3.2 Data Formats -- 4 Legal Issues -- 4.1 Copyright Issues -- 4.2 Personal Data Protection -- 5 Conclusion -- References -- MOVING: A User-Centric Platform for Online Literacy Training and Learning -- 1 Introduction -- 2 Digitized Science -- 3 Overview of the MOVING Platform -- 4 The MOVING Web Application -- 4.1 Search -- 4.2 Recommender System -- 4.3 Communities -- 4.4 Learning Environment -- 4.5 Adaptive Training Support -- 5 Conclusion -- References -- CLARIN-D: An IT-Based Research Infrastructure for the Humanities and Social Sciences -- 1 Introduction -- 2 The Impact of Digitization in the Humanities-From Digital Humanities to E-Humanities -- 3 CLARIN-D-An Infrastructure for Text-Oriented Humanities -- 4 Metadata, Citation, and Search -- 5 Summary and Conclusion -- References -- Toward Process Variability Management in Online Examination Process in German Universities: A State of the Art -- 1 Introduction -- 2 Motivation -- 3 Research Method -- 3.1 Literature Search and Data Collection in Three Domains -- 3.2 Accreditation Processes in Germany -- 4 Literature and Results -- 4.1 Evaluation of IT Approaches -- 4.2 Evaluation of Study Courses -- 4.3 Evaluation of Accreditation -- 4.4 Summary of the Results -- 5 Conclusion and Further Work -- Appendix 1: Summary of IT Approaches to e-Assessment -- Appendix 2: List of German universities reviewed -- References -- Designing External Knowledge Communication in a Research Network The Case of Sustainable Land Management.
1 Background: Theory and Project -- 1.1 Sustainable Communication in the Sciences -- 1.2 Theoretical and Conceptual Considerations for the Design of Communication Processes -- 1.3 Knowledge Management in the Sustainable Land Management Program as a Challenge for External Communication -- 2 Approach and Methodology -- 2.1 Data Collection -- 2.2 Evaluation Method -- 3 Results -- 3.1 Practitioners and Civil Society as Target Groups of External Knowledge Communication -- 3.2 Effects and Interactions of Factors Influencing External Knowledge Communication -- 3.3 Selecting a Suitable Means of Communication -- 3.4 Selecting and Preparing the Communications Content -- 3.5 Addressing the Attitude of Stakeholders -- 4 Conclusions -- 4.1 Background and Communicative Tasks -- 4.2 Definition of Communication Objectives -- 4.3 Definition of Target Groups -- 4.4 Formulating Messages -- 4.5 Definition of Communication Strategies -- 4.6 Activity Planning and Scheduling ("Concerted Activity") -- 4.7 Limitations of the Study -- 4.8 Lessons Learned -- References -- Researching Scientific Structures via Joint Authorships-The Case of Virtual 3D Modelling in the Humanities -- 1 Introduction -- 1.1 Defining Disciplines -- 1.2 Defining Cross-Disciplinarity -- 2 The Case of Virtual 3D Modelling in the Humanities -- 2.1 Field of Research -- 2.2 Data Sample -- 2.3 Scientific Approach: Analysis of Scientific Authorship Relations -- 3 Findings -- 3.1 Indication 1: Cooperative Authorship -- 3.2 Indication 2: Lotka Coefficient -- 3.3 Indication 3: Key Players -- 4 Conclusion -- References -- Visions of a Future Research Workplace Arising from Recent Foresight Exercises -- 1 Introduction -- 2 Integration of Future Research Tools in Global Expert Systems -- 3 Results of the Delphi Survey on e-Science Tools and Factors -- 3.1 Delphi Survey Background and Scope.
3.2 The Future Use of Information Systems for e-Science-The Results of the Delphi Survey -- 4 Discussion and Conclusions -- References.
Record Nr. UNINA-9910473456503321
Koschtial Claudia  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Internal Control [[electronic resource] ] : A Study of Concept and Themes / / by Olof Arwinge
Internal Control [[electronic resource] ] : A Study of Concept and Themes / / by Olof Arwinge
Autore Arwinge Olof
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Heidelberg : , : Physica-Verlag HD : , : Imprint : Physica, , 2013
Descrizione fisica 1 online resource (189 p.)
Disciplina 657/.458
658.1511
Collana Contributions to Management Science
Soggetto topico Accounting
Bookkeeping 
Information technology
Business—Data processing
Finance
Accounting/Auditing
IT in Business
Finance, general
Soggetto non controllato Management information systems
Economics/Management Science
Accounting/Auditing
Business Information Systems
Finance/Investment/Banking
ISBN 1-283-84960-7
3-7908-2882-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction -- Chapter 2. The Control System of the Firm -- Chapter 3. Key Components of the Internal Control -- Chapter 4. A Regulatory Perspective -- Chapter 5. Themes and Issues -- Chapter 6. Conclusions and Future Research.
Record Nr. UNINA-9910438075803321
Arwinge Olof  
Heidelberg : , : Physica-Verlag HD : , : Imprint : Physica, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Internal Crowdsourcing in Companies [[electronic resource] ] : Theoretical Foundations and Practical Applications / / edited by Hannah Ulbrich, Marco Wedel, Hans-Liudger Dienel
Internal Crowdsourcing in Companies [[electronic resource] ] : Theoretical Foundations and Practical Applications / / edited by Hannah Ulbrich, Marco Wedel, Hans-Liudger Dienel
Autore Ulbrich Hannah
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (VIII, 220 p. 32 illus., 27 illus. in color.)
Disciplina 658.3
Collana Contributions to Management Science
Soggetto topico Manpower policy
Knowledge management
Management information systems
Industrial management
Human Resource Development
Knowledge Management
Business Process Management
Business Information Systems
Soggetto non controllato Human Resource Development
Knowledge Management
Business Process Management
Business Information Systems
Human Resource Management
Management
IT in Business
Agile organisations
Scrum for crowdsourcing
Future of work
Cultural change
Employee participation and qualification
Collective experience and knowledge
Open Access
Personnel & human resources management
Business mathematics & systems
ISBN 3-030-52881-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to ‘Internal Crowdsourcing – Theoretical Foundations and Practical Applications’ -- An Introduction to Internal Crowdsourcing -- Managing the Crowd – A Literature Review of Empirical Studies on Internal Crowdsourcing -- Systematization Approach for the Development and Description of an Internal Crowdsourcing System -- Design of a Process and Role Model for Internal Crowdsourcing -- An Empirical Analysis of an Internal Crowdsourcing Platform: IT Implications for Improving Employee Participation -- Proposals for the Future of Internal Crowdsourcing – A Trade-Union-Based Approach -- Good Practice at GASAG-Group: Recommendations for the Application of Internal Crowdsourcing from a Business Perspective -- The Living Group Works Council Agreement as Social Innovation: Internal Crowdsourcing in the GASAG Group -- The Use of Internal Crowdsourcing for Qualification and Competence Development in Organizations -- Power to the Network – The Concept of Social Business and its Relevance for IC.
Record Nr. UNINA-9910427734103321
Ulbrich Hannah  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Knowledge Graphs and Big Data Processing [[electronic resource] /] / edited by Valentina Janev, Damien Graux, Hajira Jabeen, Emanuel Sallinger
Knowledge Graphs and Big Data Processing [[electronic resource] /] / edited by Valentina Janev, Damien Graux, Hajira Jabeen, Emanuel Sallinger
Autore Janev Valentina
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Springer Nature, 2020
Descrizione fisica 1 online resource (XI, 209 p. 39 illus., 32 illus. in color.)
Disciplina 005.74
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Database management
Application software
Artificial intelligence
Computer logic
Management information systems
Database Management
Information Systems Applications (incl. Internet)
Logic in AI
Computer Appl. in Administrative Data Processing
Business Information Systems
Soggetto non controllato Database Management
Information Systems Applications (incl. Internet)
Logic in AI
Computer Appl. in Administrative Data Processing
Business Information Systems
Computer and Information Systems Applications
Computer Application in Administrative Data Processing
artificial intelligence
big data
data analytics
data handling
data integration
data mining
databases
digital storage
domain knowledge
graph theory
information management
information technology
integrated data
internet
knowledge management
knowledge-based system
ontologies
semantics
Databases
Database programming
Information retrieval
Internet searching
Artificial intelligence
Public administration
Information technology: general issues
Business mathematics & systems
ISBN 3-030-53199-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Foundations -- Chapter 1. Ecosystem of Big Data -- Chapter 2. Knowledge Graphs: The Layered Perspective -- Chapter 3. Big Data Outlook, Tools, and Architectures -- Architecture -- Chapter 4. Creation of Knowledge Graphs -- Chapter 5. Federated Query Processing -- Chapter 6. Reasoning in Knowledge Graphs: An Embeddings Spotlight -- Methods and Solutions -- Chapter 7. Scalable Knowledge Graph Processing using SANSA -- Chapter 8. Context-Based Entity Matching for Big Data -- Applications -- Chapter 9. Survey on Big Data Applications -- Chapter 10. Case Study from the Energy Domain.
Record Nr. UNISA-996418289903316
Janev Valentina  
Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Knowledge Graphs and Big Data Processing [[electronic resource] /] / edited by Valentina Janev, Damien Graux, Hajira Jabeen, Emanuel Sallinger
Knowledge Graphs and Big Data Processing [[electronic resource] /] / edited by Valentina Janev, Damien Graux, Hajira Jabeen, Emanuel Sallinger
Autore Janev Valentina
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Springer Nature, 2020
Descrizione fisica 1 online resource (XI, 209 p. 39 illus., 32 illus. in color.)
Disciplina 005.74
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Database management
Application software
Artificial intelligence
Computer logic
Management information systems
Database Management
Information Systems Applications (incl. Internet)
Logic in AI
Computer Appl. in Administrative Data Processing
Business Information Systems
Soggetto non controllato Database Management
Information Systems Applications (incl. Internet)
Logic in AI
Computer Appl. in Administrative Data Processing
Business Information Systems
Computer and Information Systems Applications
Computer Application in Administrative Data Processing
artificial intelligence
big data
data analytics
data handling
data integration
data mining
databases
digital storage
domain knowledge
graph theory
information management
information technology
integrated data
internet
knowledge management
knowledge-based system
ontologies
semantics
Databases
Database programming
Information retrieval
Internet searching
Artificial intelligence
Public administration
Information technology: general issues
Business mathematics & systems
ISBN 3-030-53199-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Foundations -- Chapter 1. Ecosystem of Big Data -- Chapter 2. Knowledge Graphs: The Layered Perspective -- Chapter 3. Big Data Outlook, Tools, and Architectures -- Architecture -- Chapter 4. Creation of Knowledge Graphs -- Chapter 5. Federated Query Processing -- Chapter 6. Reasoning in Knowledge Graphs: An Embeddings Spotlight -- Methods and Solutions -- Chapter 7. Scalable Knowledge Graph Processing using SANSA -- Chapter 8. Context-Based Entity Matching for Big Data -- Applications -- Chapter 9. Survey on Big Data Applications -- Chapter 10. Case Study from the Energy Domain.
Record Nr. UNINA-9910413442003321
Janev Valentina  
Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Market Engineering : Insights from Two Decades of Research on Markets and Information
Market Engineering : Insights from Two Decades of Research on Markets and Information
Autore Gimpel Henner
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (244 pages)
Altri autori (Persone) KrämerJan
NeumannDirk
PfeifferJella
SeifertStefan
TeubnerTimm
VeitDaniel J
WeidlichAnke
Soggetto topico Information technology: general issues
Business mathematics & systems
Business applications
Soggetto non controllato Computer Applications
IT in Business
e-Commerce/e-business
Computer and Information Systems Applications
e-Commerce and e-Business
Information Systems
Information Management
Business Information Systems
e-Services
e-Finance
Decision Support Systems
Open Access
Information technology: general issues
Business mathematics & systems
Business applications
E-commerce: business aspects
ISBN 3-030-66661-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910473448203321
Gimpel Henner  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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