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Behavior Engineering and Applications [[electronic resource] /] / edited by Raymond Wong, Chi-Hung Chi, Patrick C. K. Hung
| Behavior Engineering and Applications [[electronic resource] /] / edited by Raymond Wong, Chi-Hung Chi, Patrick C. K. Hung |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (VIII, 240 p. 108 illus., 87 illus. in color.) |
| Disciplina | 658.4038 |
| Collana | International Series on Computer, Entertainment and Media Technology |
| Soggetto topico |
Quantitative research
Artificial intelligence Engineering mathematics Engineering—Data processing Psychobiology Human behavior Social sciences—Data processing Data Analysis and Big Data Artificial Intelligence Mathematical and Computational Engineering Applications Behavioral Neuroscience Computer Application in Social and Behavioral Sciences |
| ISBN | 3-319-76430-6 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1 Benchmarking Swarm Rebalancing Algorithm for Relieving Imbalanced Machine Learning Problems -- 2 Performance Evaluation of Shadow Features as a Data Preprocessing Method in Data Mining for Human Activities Recognitions -- 3 Fast Plagiarism Detection Using Approximate String Matching and Vector Representation of Words -- 4 A Psychologically-realistic Personality Model for Virtual Agents -- 5 Investigating Path to Purchase for Online Impulse Buying: A Decision Net Approach -- 6 eHealth Consumer Behavior -- 7 Guiding usability newcomers to understand the Context of Use: towards models of Collaborative Heuristic Evaluation -- 8 Forecasting China Future MNP by Deep Learning -- 9 Gender differences in affective response toward pictorials: Affective warning pictorials on cigarette label -- 10 A Web-based System with Spatial Clustering to Observe the Changes of Emergency Distribution using Social Big Data. . |
| Record Nr. | UNINA-9910299355903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Benefits management [[electronic resource] ] : how to increase the business value of your IT projects / / by John Ward and Elizabeth Daniels
| Benefits management [[electronic resource] ] : how to increase the business value of your IT projects / / by John Ward and Elizabeth Daniels |
| Autore | Ward John <1947-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Chichester [England], : ohn Wiley & Sons, 2012 |
| Descrizione fisica | 1 online resource (364 p.) |
| Disciplina |
658.4/038011
658.4038 658.4038011 |
| Altri autori (Persone) | DanielElizabeth <1962-> |
| Soggetto topico |
Information technology - Management
Information storage and retrieval systems - Business |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-20824-6
1-118-38158-0 1-283-54279-X 9786613855244 1-118-38159-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
BENEFITS MANAGEMENT; Contents; About the authors; Preface; Chapter 1: The challenges of IS/IT projects; Dissatisfaction with current approaches to benefits delivery; The need for a fresh approach: benefits management; Benefits delivery; A focus on value; A business case linked to organizational strategy; The importance of change management; Commitment from business managers; IS/IT sufficient to do the job; Involvement of stakeholders; Educated in the use of technology; Post-implementation benefits review; The importance of a common language; Summary
Chapter 2: Understanding the strategic contextThe external and internal perspectives of business strategy: the competitive forces and resource-based views; Resources, competences and capabilities; Ends, ways and means; PEST analysis; Industry attractiveness and competitive forces analysis; External value chain analysis; Internal value chain analysis; Alternative internal value chain configurations; Balancing the external and internal contexts: the dimensions of competence; Linking business, IS and IT strategies; Managing the portfolio of IS/IT investments Organizational information competencesSummary; Chapter 3: The foundations of benefits management; The gaps in existing methods and the implications; The origins of the benefits management approach and process; An overview of the benefits management process; Step 1: Identifying and structuring the benefits; Step 2: Planning benefits realization; Step 3: Executing the benefits plan; Step 4: Reviewing and evaluating the results; Step 5: Establishing the potential for further benefits; What is different about this approach?; Summary; Chapter 4: Establishing the why, what and how Why: identifying business and organizational driversEstablishing investment objectives; Linking the investment objectives to the drivers; What: the business benefits; How: the benefits dependency network; Measurement and ownership; Benefit and change templates; Worked example: improved control within a food processing organization; Summary; Chapter 5: Building the business case; Arguing the value of the project; Maintaining dependency: benefits are the result of changes; A structure for analysing and describing the benefits; Quantifying the benefits: the major challenge Ways of overcoming the quantification problemFinancial benefits; Cost reductions; Revenue increases; Project cost assessment; Investment appraisal techniques; Variations in benefits and changes across the investment portfolio; Risk assessment; Completing the business case; Summary business case for the FoodCo project; Summary; Chapter 6: Stakeholder and change management; Assessing the feasibility of achieving the benefit; Stakeholder analysis and management techniques; From analysis to action; Completing the benefits plan; Approaches to managing change Matching the management approach and stakeholder behaviours |
| Record Nr. | UNINA-9910138871103321 |
Ward John <1947->
|
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| Chichester [England], : ohn Wiley & Sons, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Benefits management [[electronic resource] ] : how to increase the business value of your IT projects / / by John Ward and Elizabeth Daniels
| Benefits management [[electronic resource] ] : how to increase the business value of your IT projects / / by John Ward and Elizabeth Daniels |
| Autore | Ward John <1947-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Chichester [England], : ohn Wiley & Sons, 2012 |
| Descrizione fisica | 1 online resource (364 p.) |
| Disciplina |
658.4/038011
658.4038 658.4038011 |
| Altri autori (Persone) | DanielElizabeth <1962-> |
| Soggetto topico |
Information technology - Management
Information storage and retrieval systems - Business |
| ISBN |
1-119-20824-6
1-118-38158-0 1-283-54279-X 9786613855244 1-118-38159-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
BENEFITS MANAGEMENT; Contents; About the authors; Preface; Chapter 1: The challenges of IS/IT projects; Dissatisfaction with current approaches to benefits delivery; The need for a fresh approach: benefits management; Benefits delivery; A focus on value; A business case linked to organizational strategy; The importance of change management; Commitment from business managers; IS/IT sufficient to do the job; Involvement of stakeholders; Educated in the use of technology; Post-implementation benefits review; The importance of a common language; Summary
Chapter 2: Understanding the strategic contextThe external and internal perspectives of business strategy: the competitive forces and resource-based views; Resources, competences and capabilities; Ends, ways and means; PEST analysis; Industry attractiveness and competitive forces analysis; External value chain analysis; Internal value chain analysis; Alternative internal value chain configurations; Balancing the external and internal contexts: the dimensions of competence; Linking business, IS and IT strategies; Managing the portfolio of IS/IT investments Organizational information competencesSummary; Chapter 3: The foundations of benefits management; The gaps in existing methods and the implications; The origins of the benefits management approach and process; An overview of the benefits management process; Step 1: Identifying and structuring the benefits; Step 2: Planning benefits realization; Step 3: Executing the benefits plan; Step 4: Reviewing and evaluating the results; Step 5: Establishing the potential for further benefits; What is different about this approach?; Summary; Chapter 4: Establishing the why, what and how Why: identifying business and organizational driversEstablishing investment objectives; Linking the investment objectives to the drivers; What: the business benefits; How: the benefits dependency network; Measurement and ownership; Benefit and change templates; Worked example: improved control within a food processing organization; Summary; Chapter 5: Building the business case; Arguing the value of the project; Maintaining dependency: benefits are the result of changes; A structure for analysing and describing the benefits; Quantifying the benefits: the major challenge Ways of overcoming the quantification problemFinancial benefits; Cost reductions; Revenue increases; Project cost assessment; Investment appraisal techniques; Variations in benefits and changes across the investment portfolio; Risk assessment; Completing the business case; Summary business case for the FoodCo project; Summary; Chapter 6: Stakeholder and change management; Assessing the feasibility of achieving the benefit; Stakeholder analysis and management techniques; From analysis to action; Completing the benefits plan; Approaches to managing change Matching the management approach and stakeholder behaviours |
| Record Nr. | UNINA-9910831024103321 |
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Ward John <1947->
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| Chichester [England], : ohn Wiley & Sons, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Benefits management [[electronic resource] ] : how to increase the business value of your IT projects / / by John Ward and Elizabeth Daniels
| Benefits management [[electronic resource] ] : how to increase the business value of your IT projects / / by John Ward and Elizabeth Daniels |
| Autore | Ward John <1947-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Chichester [England], : ohn Wiley & Sons, 2012 |
| Descrizione fisica | 1 online resource (364 p.) |
| Disciplina |
658.4/038011
658.4038 658.4038011 |
| Altri autori (Persone) | DanielElizabeth <1962-> |
| Soggetto topico |
Information technology - Management
Information storage and retrieval systems - Business |
| ISBN |
1-119-20824-6
1-118-38158-0 1-283-54279-X 9786613855244 1-118-38159-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
BENEFITS MANAGEMENT; Contents; About the authors; Preface; Chapter 1: The challenges of IS/IT projects; Dissatisfaction with current approaches to benefits delivery; The need for a fresh approach: benefits management; Benefits delivery; A focus on value; A business case linked to organizational strategy; The importance of change management; Commitment from business managers; IS/IT sufficient to do the job; Involvement of stakeholders; Educated in the use of technology; Post-implementation benefits review; The importance of a common language; Summary
Chapter 2: Understanding the strategic contextThe external and internal perspectives of business strategy: the competitive forces and resource-based views; Resources, competences and capabilities; Ends, ways and means; PEST analysis; Industry attractiveness and competitive forces analysis; External value chain analysis; Internal value chain analysis; Alternative internal value chain configurations; Balancing the external and internal contexts: the dimensions of competence; Linking business, IS and IT strategies; Managing the portfolio of IS/IT investments Organizational information competencesSummary; Chapter 3: The foundations of benefits management; The gaps in existing methods and the implications; The origins of the benefits management approach and process; An overview of the benefits management process; Step 1: Identifying and structuring the benefits; Step 2: Planning benefits realization; Step 3: Executing the benefits plan; Step 4: Reviewing and evaluating the results; Step 5: Establishing the potential for further benefits; What is different about this approach?; Summary; Chapter 4: Establishing the why, what and how Why: identifying business and organizational driversEstablishing investment objectives; Linking the investment objectives to the drivers; What: the business benefits; How: the benefits dependency network; Measurement and ownership; Benefit and change templates; Worked example: improved control within a food processing organization; Summary; Chapter 5: Building the business case; Arguing the value of the project; Maintaining dependency: benefits are the result of changes; A structure for analysing and describing the benefits; Quantifying the benefits: the major challenge Ways of overcoming the quantification problemFinancial benefits; Cost reductions; Revenue increases; Project cost assessment; Investment appraisal techniques; Variations in benefits and changes across the investment portfolio; Risk assessment; Completing the business case; Summary business case for the FoodCo project; Summary; Chapter 6: Stakeholder and change management; Assessing the feasibility of achieving the benefit; Stakeholder analysis and management techniques; From analysis to action; Completing the benefits plan; Approaches to managing change Matching the management approach and stakeholder behaviours |
| Record Nr. | UNINA-9910841359603321 |
|
Ward John <1947->
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| Chichester [England], : ohn Wiley & Sons, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big data : principles and best practices of scalable real-time data systems / Nathan Marz with James Warren
| Big data : principles and best practices of scalable real-time data systems / Nathan Marz with James Warren |
| Autore | MARZ, Nathan |
| Pubbl/distr/stampa | Shelter Island : Manning, 2015 |
| Descrizione fisica | XX, 308 p. : ill. ; 24 cm |
| Disciplina | 658.4038 |
| Altri autori (Persone) | WARREN, James |
| Soggetto topico | Big data |
| ISBN | 978-1-617290-34-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996277849603316 |
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MARZ, Nathan
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| Shelter Island : Manning, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Big data : understanding how data powers big business / / Bill Schmarzo
| Big data : understanding how data powers big business / / Bill Schmarzo |
| Autore | Schmarzo Bill |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Indianapolis, IN : , : John Wiley & Sons, , [2013] |
| Descrizione fisica | 1 online resource (242 p.) |
| Disciplina | 658.4038 |
| Soggetto topico |
Knowledge management
Management information systems |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-118-74003-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Chapter 1 The Big Data Business Opportunity; The Business Transformation Imperative; Walmart Case Study; The Big Data Business Model Maturity Index; Business Monitoring; Business Insights; Business Optimization; Data Monetization; Business Metamorphosis; Big Data Business Model Maturity Observations; Summary; Chapter 2 Big Data History Lesson; Consumer Package Goods and Retail Industry Pre-1988; Lessons Learned and Applicability to Today's Big Data Movement; Summary; Chapter 3 Business Impact of Big Data
Big Data Impacts: The Questions Business Users Can Answer Managing Using the Right Metrics; Data Monetization Opportunities; Digital Media Data Monetization Example; Digital Media Data Assets and Understanding Target Users; Data Monetization Transformations and Enrichments; Summary; Chapter 4 Organizational Impact of Big Data; Data Analytics Lifecycle; Data Scientist Roles and Responsibilities; Discovery; Data Preparation; Model Planning; Model Building; Communicate Results; Operationalize; New Organizational Roles; User Experience Team; New Senior Management Roles Liberating Organizational Creativity Summary; Chapter 5 Understanding Decision Theory; Business Intelligence Challenge; The Death of Why; Big Data User Interface Ramifications; The Human Challenge of Decision Making; Traps in Decision Making; What Can One Do?; Summary; Chapter 6 Creating the Big Data Strategy; The Big Data Strategy Document; Customer Intimacy Example; Turning the Strategy Document into Action; Starbucks Big Data Strategy Document Example; San Francisco Giants Big Data Strategy Document Example; Summary; Chapter 7 Understanding Your Value Creation Process Understanding the Big Data Value Creation Drivers Driver #1: Access to More Detailed Transactional Data; Driver #2: Access to Unstructured Data; Driver #3: Access to Low-latency (Real-Time) Data; Driver #4: Integration of Predictive Analytics; Big Data Envisioning Worksheet; Big Data Business Drivers: Predictive Maintenance Example; Big Data Business Drivers: Customer Satisfaction Example; Big Data Business Drivers: Customer Micro-segmentation Example; Michael Porter's Valuation Creation Models; Michael Porter's Five Forces Analysis; Michael Porter's Value Chain Analysis Value Creation Process: Merchandising Example Summary; Chapter 8 Big Data User Experience Ramifications; The Unintelligent User Experience; Understanding the Key Decisions to Build a Relevant User Experience; Using Big Data Analytics to Improve Customer Engagement; Uncovering and Leveraging Customer Insights; Rewiring Your Customer Lifecycle Management Processes; Using Customer Insights to Drive Business Profitability; Big Data Can Power a New Customer Experience; B2C Example: Powering the Retail Customer Experience; B2B Example: Powering Small- and Medium-Sized Merchant Effectiveness; Summary Chapter 9 Identifying Big Data Use Cases |
| Record Nr. | UNINA-9910462982003321 |
|
Schmarzo Bill
|
||
| Indianapolis, IN : , : John Wiley & Sons, , [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big data : understanding how data powers big business / / Bill Schmarzo
| Big data : understanding how data powers big business / / Bill Schmarzo |
| Autore | Schmarzo Bill |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Indianapolis, IN : , : John Wiley & Sons, , [2013] |
| Descrizione fisica | 1 online resource (242 p.) |
| Disciplina | 658.4038 |
| Soggetto topico |
Knowledge management
Management information systems |
| ISBN | 1-118-74003-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Chapter 1 The Big Data Business Opportunity; The Business Transformation Imperative; Walmart Case Study; The Big Data Business Model Maturity Index; Business Monitoring; Business Insights; Business Optimization; Data Monetization; Business Metamorphosis; Big Data Business Model Maturity Observations; Summary; Chapter 2 Big Data History Lesson; Consumer Package Goods and Retail Industry Pre-1988; Lessons Learned and Applicability to Today's Big Data Movement; Summary; Chapter 3 Business Impact of Big Data
Big Data Impacts: The Questions Business Users Can Answer Managing Using the Right Metrics; Data Monetization Opportunities; Digital Media Data Monetization Example; Digital Media Data Assets and Understanding Target Users; Data Monetization Transformations and Enrichments; Summary; Chapter 4 Organizational Impact of Big Data; Data Analytics Lifecycle; Data Scientist Roles and Responsibilities; Discovery; Data Preparation; Model Planning; Model Building; Communicate Results; Operationalize; New Organizational Roles; User Experience Team; New Senior Management Roles Liberating Organizational Creativity Summary; Chapter 5 Understanding Decision Theory; Business Intelligence Challenge; The Death of Why; Big Data User Interface Ramifications; The Human Challenge of Decision Making; Traps in Decision Making; What Can One Do?; Summary; Chapter 6 Creating the Big Data Strategy; The Big Data Strategy Document; Customer Intimacy Example; Turning the Strategy Document into Action; Starbucks Big Data Strategy Document Example; San Francisco Giants Big Data Strategy Document Example; Summary; Chapter 7 Understanding Your Value Creation Process Understanding the Big Data Value Creation Drivers Driver #1: Access to More Detailed Transactional Data; Driver #2: Access to Unstructured Data; Driver #3: Access to Low-latency (Real-Time) Data; Driver #4: Integration of Predictive Analytics; Big Data Envisioning Worksheet; Big Data Business Drivers: Predictive Maintenance Example; Big Data Business Drivers: Customer Satisfaction Example; Big Data Business Drivers: Customer Micro-segmentation Example; Michael Porter's Valuation Creation Models; Michael Porter's Five Forces Analysis; Michael Porter's Value Chain Analysis Value Creation Process: Merchandising Example Summary; Chapter 8 Big Data User Experience Ramifications; The Unintelligent User Experience; Understanding the Key Decisions to Build a Relevant User Experience; Using Big Data Analytics to Improve Customer Engagement; Uncovering and Leveraging Customer Insights; Rewiring Your Customer Lifecycle Management Processes; Using Customer Insights to Drive Business Profitability; Big Data Can Power a New Customer Experience; B2C Example: Powering the Retail Customer Experience; B2B Example: Powering Small- and Medium-Sized Merchant Effectiveness; Summary Chapter 9 Identifying Big Data Use Cases |
| Record Nr. | UNINA-9910787799703321 |
|
Schmarzo Bill
|
||
| Indianapolis, IN : , : John Wiley & Sons, , [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big data : understanding how data powers big business / / Bill Schmarzo
| Big data : understanding how data powers big business / / Bill Schmarzo |
| Autore | Schmarzo Bill |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Indianapolis, IN : , : John Wiley & Sons, , [2013] |
| Descrizione fisica | 1 online resource (242 p.) |
| Disciplina | 658.4038 |
| Soggetto topico |
Knowledge management
Management information systems |
| ISBN | 1-118-74003-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Chapter 1 The Big Data Business Opportunity; The Business Transformation Imperative; Walmart Case Study; The Big Data Business Model Maturity Index; Business Monitoring; Business Insights; Business Optimization; Data Monetization; Business Metamorphosis; Big Data Business Model Maturity Observations; Summary; Chapter 2 Big Data History Lesson; Consumer Package Goods and Retail Industry Pre-1988; Lessons Learned and Applicability to Today's Big Data Movement; Summary; Chapter 3 Business Impact of Big Data
Big Data Impacts: The Questions Business Users Can Answer Managing Using the Right Metrics; Data Monetization Opportunities; Digital Media Data Monetization Example; Digital Media Data Assets and Understanding Target Users; Data Monetization Transformations and Enrichments; Summary; Chapter 4 Organizational Impact of Big Data; Data Analytics Lifecycle; Data Scientist Roles and Responsibilities; Discovery; Data Preparation; Model Planning; Model Building; Communicate Results; Operationalize; New Organizational Roles; User Experience Team; New Senior Management Roles Liberating Organizational Creativity Summary; Chapter 5 Understanding Decision Theory; Business Intelligence Challenge; The Death of Why; Big Data User Interface Ramifications; The Human Challenge of Decision Making; Traps in Decision Making; What Can One Do?; Summary; Chapter 6 Creating the Big Data Strategy; The Big Data Strategy Document; Customer Intimacy Example; Turning the Strategy Document into Action; Starbucks Big Data Strategy Document Example; San Francisco Giants Big Data Strategy Document Example; Summary; Chapter 7 Understanding Your Value Creation Process Understanding the Big Data Value Creation Drivers Driver #1: Access to More Detailed Transactional Data; Driver #2: Access to Unstructured Data; Driver #3: Access to Low-latency (Real-Time) Data; Driver #4: Integration of Predictive Analytics; Big Data Envisioning Worksheet; Big Data Business Drivers: Predictive Maintenance Example; Big Data Business Drivers: Customer Satisfaction Example; Big Data Business Drivers: Customer Micro-segmentation Example; Michael Porter's Valuation Creation Models; Michael Porter's Five Forces Analysis; Michael Porter's Value Chain Analysis Value Creation Process: Merchandising Example Summary; Chapter 8 Big Data User Experience Ramifications; The Unintelligent User Experience; Understanding the Key Decisions to Build a Relevant User Experience; Using Big Data Analytics to Improve Customer Engagement; Uncovering and Leveraging Customer Insights; Rewiring Your Customer Lifecycle Management Processes; Using Customer Insights to Drive Business Profitability; Big Data Can Power a New Customer Experience; B2C Example: Powering the Retail Customer Experience; B2B Example: Powering Small- and Medium-Sized Merchant Effectiveness; Summary Chapter 9 Identifying Big Data Use Cases |
| Record Nr. | UNINA-9910811248803321 |
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Schmarzo Bill
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| Indianapolis, IN : , : John Wiley & Sons, , [2013] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big data @l lavoro : sfatare i miti, scoprire le opportunità / Thomas H. Davenport
| Big data @l lavoro : sfatare i miti, scoprire le opportunità / Thomas H. Davenport |
| Autore | Davenport, Thomas H. |
| Pubbl/distr/stampa | Milano : FrancoAngeli, 2015 |
| Descrizione fisica | 187 p. ; 22 cm |
| Disciplina | 658.4038 |
| Collana | Neo management |
| Soggetto non controllato | Azienda - Informazione - Gestione |
| ISBN | 9788891710451 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNINA-9910351259503321 |
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Davenport, Thomas H.
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| Milano : FrancoAngeli, 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big Data and Innovation in Tourism, Travel, and Hospitality [[electronic resource] ] : Managerial Approaches, Techniques, and Applications / / edited by Marianna Sigala, Roya Rahimi, Mike Thelwall
| Big Data and Innovation in Tourism, Travel, and Hospitality [[electronic resource] ] : Managerial Approaches, Techniques, and Applications / / edited by Marianna Sigala, Roya Rahimi, Mike Thelwall |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XII, 223 p. 43 illus., 32 illus. in color.) |
| Disciplina | 658.4038 |
| Soggetto topico |
Big data
Tourism Management Big Data/Analytics Tourism Management Big Data |
| ISBN | 981-13-6339-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Big Data: the Oil of the New Tourism Economy -- Chapter 2. Composite Indicators for Measuring the Online Search Interest by a Tourist Destination -- Chapter 3. Developing Smart Tourism Destinations with the Internet of Things -- Chapter 4. Big Data in Online Travel Agencies and its Application Through Electronic Devices -- Chapter 5. Big Data for Measuring the Impact of Tourism Economic Development Programme: a Process and Quality Criteria Framework for Using Big Data -- Chapter 6. Research on Big Data, VGI, and the Tourism and Hospitality Sector: Concepts, Methods, and Geographies -- Chapter 7. Sentiment Analysis for Tourism -- Chapter 8. Location-Based Social Network Data for Tourism Destinations -- Chapter 9. Identifying Innovative Idea Proposals with Topic Models - A Case Study from SPA Tourism -- Chapter 10. Customer Data and Crisis Monitoring in Flanders and Brussels -- Chapter 11. Analyzing Airbnb Customer Experience Feedback Using Text Mining -- Chapter 12. Big Data as a Game Changer: How does it Shape Business Intelligence within a Tourism and Hospitality Industry Context? -- Chapter 13. Strengthening Relational Ties and Building Loyalty Through Relational Innovation and Technology: Evidence from Spanish Hotel Guests -- Chapter 14. Big Data and its Supporting Elements: Implications for Tourism and Hospitality Marketing. |
| Record Nr. | UNINA-9910350210103321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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