Advanced Business Analytics [[electronic resource] /] / edited by Fausto Pedro García Márquez, Benjamin Lev |
Edizione | [1st ed. 2015.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
Descrizione fisica | 1 online resource (252 p.) |
Disciplina |
005.7
330 338.6 650 658.1 658.40301 658514 |
Soggetto topico |
Information technology
Business—Data processing Management Industrial management Application software Organization Planning Operations research Decision making Industrial organization IT in Business Innovation/Technology Management Information Systems Applications (incl. Internet) Operations Research/Decision Theory Industrial Organization |
ISBN | 3-319-11415-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Decision Making Approach for Optimal Business Investments -- Integration of a Heuristic Method into an ERP Software -- Economic Viability Analytics for Wind Energy Maintenance Management -- Introduction to Multi-Attribute Decision Making in Business Analytics -- How Business Analytics Should Work -- Vulnerability Analysis of a Signal-Controlled Road Network for Equilibrium Flow -- Analytical Model Implementing Objectives in EVM for Advanced Project Control -- Use of Excellence Models as a Management Maturity Model (3M) -- AHP and Intuitionistic Fuzzy Topsis Methodology for SCM Selection -- The Assessment and Selection of Hedge Funds -- Functional Data Analysis with an Application in the Capital Structure of California Hospitals -- A Software Application to Optimize the Visits of Sales/Marketing Agents to Their Customers in a Brewing Company. |
Record Nr. | UNINA-9910298499903321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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Big Data Management [[electronic resource] /] / edited by Fausto Pedro García Márquez, Benjamin Lev |
Edizione | [1st ed. 2017.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Descrizione fisica | 1 online resource (XVI, 267 p. 107 illus., 38 illus. in color.) |
Disciplina | 658.4038 |
Soggetto topico |
Management information systems
Engineering economics Engineering economy Operating systems (Computers) Operations research Decision making Management Industrial management Business Information Systems Engineering Economics, Organization, Logistics, Marketing Operating Systems Operations Research/Decision Theory Innovation/Technology Management |
ISBN | 3-319-45498-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction -- The Big Data Business Opportunity -- The Business Transformation by Big Data -- Data Integration and Management Science -- Novel Approaches for Big Data Analytics -- Case Studies: Engineering; Financial; Economic; Business; Project Management -- Signal Processing. |
Record Nr. | UNINA-9910151661703321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
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Lo trovi qui: Univ. Federico II | ||
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Data Science and Digital Business [[electronic resource] /] / edited by Fausto Pedro García Márquez, Benjamin Lev |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (VIII, 316 p. 117 illus.) |
Disciplina | 658.40301 |
Soggetto topico |
Operations research
Decision making Big data Management information systems E-commerce Statistics Engineering economics Engineering economy Operations Research/Decision Theory Big Data/Analytics Business Information Systems e-Commerce/e-business Statistics for Business, Management, Economics, Finance, Insurance Engineering Economics, Organization, Logistics, Marketing |
ISBN | 3-319-95651-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Advanced Regression Models in Data Science -- Data Science Method in Analysis of Flood Risk in Mississippi Gulf Coast Area -- An efficient bundle-like algorithm for data-driven multi-objective bi-level signal design for traffic networks with hazardous material transportation -- Deploying a scalable Data Science environment using Docker -- Data Science and Conversational Interfaces: A new revolution in Digital Business -- After 2017: Managers Exit and Banks Arise. |
Record Nr. | UNINA-9910337787303321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Engineering Management / / Fausto Pedro García Márquez, Benjamin Lev, editors |
Pubbl/distr/stampa | Rijeka, Croatia : , : IntechOpen, , [2013] |
Descrizione fisica | 1 online resource (242 pages) : illustrations |
Disciplina | 658.404 |
Soggetto topico | Engineering - Management |
ISBN | 953-51-6316-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910317749603321 |
Rijeka, Croatia : , : IntechOpen, , [2013] | ||
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Lo trovi qui: Univ. Federico II | ||
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Internet of things : cases and studies / / Fausto Pedro García Márquez, Benjamin Lev, editors |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (312 pages) |
Disciplina | 004.678 |
Collana | International series in operations research & management science |
Soggetto topico | Internet of things |
ISBN | 3-030-70478-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910492143803321 |
Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. Federico II | ||
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Introduction to internet of things in management science and operations research : implemented studies / / editors, Fausto Pedro García Márquez, Benjamin Lev |
Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
Descrizione fisica | 1 online resource (315 pages) |
Disciplina | 658.05 |
Collana | International Series in Operations Research & Management Science |
Soggetto topico |
Management - Data processing
Management information systems Internet of things |
ISBN | 3-030-74644-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Introduction -- Contents -- About the Editors -- Internet of Things: Technologies and Applications -- 1 Introducton -- 2 State-of-the-Art Technologies and Applicatons of IoT -- 2.1 Technologies -- 2.2 Internet of Things in Smart Cities -- 2.2.1 Smart Lighting System -- Lamp Unit (LU) -- Local Control Unit (LCU) -- Control Center (CC) -- 2.2.2 Waste and Garbage Management -- 2.3 Internet of Things in Smart Homes Domain -- 2.4 Internet of Things in Agriculture Domain -- 2.4.1 Sampling and Mapping of Soil -- 2.4.2 Irrigation -- 2.4.3 Fertilizer -- 2.4.4 Crop Disease and Pest Management -- 2.4.5 Crop Monitoring, Forecasting, and Harvesting -- 2.5 Industrial Internet of Things (IIOT) -- 2.6 Internet of Things in Energy Conservation -- 2.7 Internet of Things in Healthcare -- 2.7.1 IoT Healthcare Applications -- Monitoring of Blood Glucose Level -- Electrocardiogram Monitoring -- Blood Pressure Monitoring -- Body Temperature Monitoring -- Monitoring of Blood Oxygen Saturation -- Rehabilitation System -- Wheelchair Management -- 3 Case Studies -- 3.1 Efficient Water Supply and Management -- 3.1.1 Water Usage and Management: City of Surrey, Canada -- 3.2 IoT in Traffic Control and Management -- 3.2.1 Dallas´ Traffic Management System, Texas -- 3.2.2 Management of Railway in Germany -- 3.3 Garbage and Waste Management -- 3.3.1 A Case Study: Pennsula Santary Servce Inc. (PSSI) Implements Contaner Montorng Sensors -- 3.3.2 How One Waste Hauler Implemented Image-Based Container Sensors to Manage Inventory and Streamline Services -- The Challenge -- The Solution -- The Results -- 3.4 Smart and Efficient Parking -- 3.4.1 Smart Parking System in Burlington, Canada -- 3.4.2 Solution for Guided Parking -- Services End-to-End -- Advantages of the Result -- 4 Conclusion and Future Prospects of IoT -- References.
Prescriptive Analytics in Internet of Things with Concentration on Deep Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Internet of Things (IoT) -- 2.2 IoT Architecture -- 2.2.1 Coding Layer -- 2.2.2 Perception Layer -- 2.2.3 Network Layer -- 2.2.4 Middleware Layer -- 2.2.5 Application Layer -- 2.2.6 Business Layer -- 2.3 Automated Controlling -- 2.4 Data Analytics -- 2.5 Information Sharing -- 3 Deep Learning -- 3.1 Deep Belief Network (DBN) -- 3.2 Convolutional Neural Network (CNN) -- 3.3 Artificial Neural Network (ANN) -- 3.4 Deep Neural Network (DNN) -- 4 Prescriptive Analytics -- 4.1 Descriptive Analytics -- 4.2 Predictive Analytics -- 4.3 Prescriptive Analytics -- 4.4 Detective Analytics -- 4.5 Cognitive Analytics -- 5 Methodology -- 6 Prescriptive Analytics in IoT Through Deep Learning -- 7 Research Model and Discussion -- 7.1 Deep Learning and Prescriptive Analytics -- 7.2 Optimization Algorithms and Prescriptive Algorithms -- 7.3 Prescriptive Analytics and Exploitation Capability -- 7.4 Exploitation Capability and Firms´ Performance -- 8 Conclusion -- 9 Future Research -- References -- IoT Security and New Trends of Solutions -- 1 IoT Security Foundation -- 2 IoT Security in Perception Layer -- 2.1 RFID Security -- 2.2 Sensor and Sensor Network Security -- 3 IoT Security in Network Layer -- 4 IoT Security in Application Layer -- 4.1 General Application Layer Security -- 4.2 Cloud Computing Security -- 5 Case Studies About Future IoT Attacks -- 5.1 Automotive IoT Security -- 5.2 Healthcare IoT Security -- 5.3 Drone IoT Security -- 6 Solutions for the Future of IoT Security -- 6.1 Blockchain-Based Security Solution -- 6.2 AI-Based Security Solution -- 7 Conclusion -- References -- A Hybrid Model of Learning Methodology Analyzed Through the Use of Machine Learning Techniques -- 1 Introduction -- 2 The Learning Hybrid Model Methodology. 3 Canvas Learning Platform and Data Description -- 4 Machine Learning Techniques for Learning Analytics -- 4.1 Naïve Bayes Classifier -- 4.2 Binary Logistic Regression -- 4.3 Artificial Neural Networks -- 4.4 Hierarchical Agglomerative Clustering (HAC) -- 4.5 Multiple Linear Regression Model -- 4.6 Factor Analysis Using Principal Components -- 5 Empirical Results -- 5.1 Naïve Bayes Classifier -- 5.2 Binary Logistic Regression -- 5.3 Artificial Neural Networks -- 5.4 Hierarchical Agglomerative Clustering -- 5.5 Multiple Linear Regression Model -- 5.6 Factor Analysis Using Principal Components -- 5.7 Summary Results -- 6 Conclusions -- References -- Internet of Things Cybersecurity: Blockchain as First Securitisation Layer of an IoT Network -- 1 Introduction -- 2 IoT Cybersecurity Problems -- 3 Blockchain Main Concepts and Cybersecurity Problems -- 4 IIoT + Blockchain, an Affordable Combination -- 5 Study Cases -- 5.1 Smart Home -- 5.2 Smart Home Cluster for Security Enterprises -- 5.3 Smart Updates for IoT Devices -- 6 IIoT + Blockchain, Sum-Up Table -- 7 Conclusion -- 8 Future Research -- References -- A Data-Driven Traffic-Responsive Signal Control for a Smart City Road Network Under Uncertainty -- 1 Introduction -- 2 A Period-Dependent User Equilibrium with Stochastic Travel Delay -- 2.1 Notation -- 2.2 A Data-Driven Period-Dependent Travel Delay -- 2.3 A User Equilibrium Expressed as a Complementarity Problem -- 3 A PDSS Traffic-Responsive Signal Control -- 3.1 Constraints for Period-Dependent Traffic Signals -- 3.2 A Mathematical Program with Equilibrium Constraints (MPEC) -- 3.3 A Stochastic MPEC (SMPEC) -- 4 Solution Method -- 4.1 A Smoothed SMPEC -- 4.2 Sensitivity Analysis -- 4.3 Two-Stage Solution Approach -- 4.3.1 Stage I: A Linear Program for Period-Dependent PI Maximum. 4.3.2 Stage II: A Bundle-Like Approach for Period-Dependent PI Minimum -- 4.4 A Level Set Bundle (LSB) Method -- 4.5 Solution Scheme -- 5 Numerical Experiments and Results -- 5.1 Input Data -- 5.2 Computational Results -- 5.3 Numerical Comparisons with Data-Driven Signal Controls -- 6 Conclusions and Remarks -- References -- Utilization of Consumer Appliances in Smart Grid Services for Coordination with Renewable Energy Sources -- 1 Introduction -- 2 Theoretical Background -- 2.1 Unit Commitment and Renewable Power Sources -- 2.2 Consumer Participation in Smart Grid Services and Demand Response -- 2.3 Ecological and Environmental Aspects of Demand Response -- 3 A Model of Household Participation in Demand Response -- 3.1 Business Model -- 3.2 IoT Infrastructure -- 3.3 Blockchain Infrastructure and Loyalty Management -- 4 Assessing Readiness for Participation in Demand Response -- 4.1 Design, Procedure and Methods -- 4.2 Results -- 5 Conclusion -- References -- Application of Internet of Things (IoT) to Demand-Side Management in Smart Grids -- 1 Introduction -- 2 Demand-Side Management -- 3 Utilizing IoT in Smart Grid Demand-Side Management -- 3.1 Smart Grid Concept -- 3.2 Smart Grid Challenges -- 3.3 IoT in Smart Grid -- 3.4 Smart Home -- 4 IoT-Enabled SHs Algorithms Targeting DSM -- 5 Conclusions -- References -- Understanding the Factors Influencing Consumers´ Behaviour Towards Autonomous Vehicles Adoption -- 1 Introduction -- 2 State of the Art Review -- 2.1 Brief History and Background of Autonomous Vehicles -- 2.2 Autonomous Vehicles as a Disruptive Technology -- 2.3 Concept Underlying User Acceptance -- 2.4 Key Challenges to Autonomous Vehicles Acceptance -- 2.4.1 Safety -- 2.4.2 Legal Implications -- 2.4.3 Social and Ethical Issues -- 2.4.4 Technology -- 2.4.5 Infrastructure -- 2.4.6 Cost -- 2.4.7 Cyber Security. 2.5 Existing Studies of User Acceptance of AVs -- 2.5.1 Safety Benefits -- 2.5.2 Time Savings -- 2.5.3 Fuel Savings -- 3 Formulating the Autonomous Vehicles Technology Acceptance Model (AVTAM) -- 3.1 Performance Expectancy (PE) -- 3.2 Effort Expectancy (EE) -- 3.3 Social Influence (SI) -- 3.4 Self-Efficacy (SE) -- 3.5 Perceived Safety (PS) -- 3.6 Anxiety (AX) -- 3.7 Trust (T) -- 3.8 Legal Regulation (LR) -- 3.9 Hedonic Motivation (HM) -- 3.10 Price Value (PV) -- 3.11 Behavioural Intention (BI) -- 4 Method -- 4.1 Reliability Analysis -- 4.2 Correlation Analysis -- 4.3 Regression Analysis -- 4.4 Structure Equation Modelling (SEM) -- 5 Results -- 6 Conclusion and Future Work -- References -- Development Path, Experience and Implications of the Internet of Things Industry in Wuxi, Jiangsu Province, China -- 1 Introduction -- 2 Analysis of the Development Path of the IoT Industry in Wuxi -- 2.1 Initiation Stage (2009-2012) -- 2.1.1 Determination of the Development Orientation -- 2.1.2 Actively Taking Actions -- 2.2 Development Stage (2013-2015) -- 2.2.1 Forming Industrial Layout of IoT with One Core and Multiple Key Areas -- 2.2.2 Constantly Improving Support by R& -- D Institutions and Public Service Platforms -- 2.2.3 Constantly Expanded Application Demonstration Fields -- 2.3 Rapid Growth Stage (2016-2019) -- 2.3.1 Agglomerative Development Stage of the IoT Industry -- 2.3.2 Transition from Government-Dominated to Market-Dominated Application Mode -- 2.3.3 Rapid Development of Key Enterprises -- 3 Development Experience and Implications of the IoT Industry in Wuxi City -- 3.1 Adhering to the Coordinated Driving to Foster the Development Mode Under the Coupling Driving of the Government and Market -- 3.2 Adhering to Taking Well-Targeted Steps and Building an Open, Collaborative and Sharing Industrial Ecology. 3.3 Persisting Demand Guidance and Cultivating the Innovation Culture of Fault Tolerance, Trial and Error and Error Correction. |
Record Nr. | UNINA-9910502655903321 |
Cham, Switzerland : , : Springer, , [2021] | ||
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Lo trovi qui: Univ. Federico II | ||
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Proceedings of the Eighth International Conference on Management Science and Engineering Management [[electronic resource] ] : Focused on Intelligent System and Management Science / / edited by Jiuping Xu, Virgílio António Cruz-Machado, Benjamin Lev, Stefan Nickel |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (787 p.) |
Disciplina | 658.404 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Production management
Electrical engineering Operations research Management science Operations Management Communications Engineering, Networks Operations Research, Management Science |
ISBN | 3-642-55182-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part I Intelligent Systems -- Part II Decision Support Systems -- Part III Manufacturing -- Part IV Supply Chain Management. |
Record Nr. | UNINA-9910299466803321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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Proceedings of the Eighth International Conference on Management Science and Engineering Management [[electronic resource] ] : Focused on Computing and Engineering Management / / edited by Jiuping Xu, Virgílio António Cruz-Machado, Benjamin Lev, Stefan Nickel |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (782 p.) |
Disciplina | 658.404 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Operations research
Decision making Electrical engineering Production management Operations Research/Decision Theory Communications Engineering, Networks Operations Management |
ISBN | 3-642-55122-X |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part V Computing Methodology -- Part VI Project Management -- Part VII Industrial Engineering -- Part VIII Information Technology -- Author Index. |
Record Nr. | UNINA-9910299469203321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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Proceedings of the Seventh International Conference on Management Science and Engineering Management [[electronic resource] ] : Focused on Electrical and Information Technology Volume I / / edited by Jiuping Xu, John A. Fry, Benjamin Lev, Asaf Hajiyev |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (760 p.) |
Disciplina |
330
658.5 |
Collana | Lecture Notes in Electrical Engineering |
Soggetto topico |
Operations research
Decision making Computer engineering Management information systems Computer science Production management Operations Research/Decision Theory Computer Engineering Management of Computing and Information Systems Operations Management |
ISBN | 3-642-40078-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Computer and Networks -- Information Technology -- Decision Support System -- Manufacturing. |
Record Nr. | UNINA-9910298537503321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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Proceedings of the Seventh International Conference on Management Science and Engineering Management [[electronic resource] ] : Focused on Electrical and Information Technology Volume II / / edited by Jiuping Xu, John A. Fry, Benjamin Lev, Asaf Hajiyev |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (762 p.) |
Disciplina |
005.74
620.0068 |
Collana | Lecture Notes in Electrical Engineering |
Soggetto topico |
Operations research
Decision making Computer engineering Management information systems Computer science Production management Operations Research/Decision Theory Computer Engineering Management of Computing and Information Systems Operations Management |
ISBN | 3-642-40081-7 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Supply Chain Management -- Project Management -- Ecological Engineering -- Industrial Engineering. |
Record Nr. | UNINA-9910298538903321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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