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Behavioral Competencies for Innovation [[electronic resource] ] : Using Emotional Intelligence to Foster Innovation / / by Sara Bonesso, Laura Cortellazzo, Fabrizio Gerli
| Behavioral Competencies for Innovation [[electronic resource] ] : Using Emotional Intelligence to Foster Innovation / / by Sara Bonesso, Laura Cortellazzo, Fabrizio Gerli |
| Autore | Bonesso Sara |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Palgrave Pivot, , 2020 |
| Descrizione fisica | 1 online resource |
| Disciplina | 658.514 |
| Soggetto topico |
Management
Industrial management Knowledge management Leadership Manpower policy Innovation/Technology Management Knowledge Management Business Strategy/Leadership Human Resource Development |
| ISBN | 3-030-40734-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Current Trends in Innovation Management and the Role of Human Capital -- Chapter 2. The Intangible Human Side of Innovation: A Competency Based View -- Chapter 3. Entrepreneurs and Innovation: Mobilizing Behavioral Competencies in Different Types of Innovation Processes -- Chapter 4. Behavioral Competencies in New Product Development Teams -- Chapter 5. Managing Innovation Through a Competency-Based Approach. |
| Record Nr. | UNINA-9910485036903321 |
Bonesso Sara
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| Cham : , : Springer International Publishing : , : Imprint : Palgrave Pivot, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Beyond business analytics : the foundations of behavioral perspective theory / / Eliezer Geisler
| Beyond business analytics : the foundations of behavioral perspective theory / / Eliezer Geisler |
| Autore | Geisler Eliezer <1942-> |
| Pubbl/distr/stampa | Cham, Switzerland : , : Palgrave Macmillan, , [2022] |
| Descrizione fisica | 1 online resource (228 pages) |
| Disciplina | 658.05 |
| Soggetto topico |
Business - Data processing
Decision making - Data processing Knowledge management |
| ISBN |
9783030437183
9783030437176 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910591042203321 |
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Geisler Eliezer <1942->
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| Cham, Switzerland : , : Palgrave Macmillan, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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 |
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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 | ||
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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 |
| 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 |
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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 : 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 | ||
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Big data governance [[electronic resource] ] : an emerging imperative / / Sunil Soares
| Big data governance [[electronic resource] ] : an emerging imperative / / Sunil Soares |
| Autore | Soares Sunil |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Boise, : MC Press, 2012 |
| Descrizione fisica | 1 online resource (369 p.) |
| Disciplina | 005.74 |
| Soggetto topico |
Information resources management
Knowledge management |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-58347-718-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Dedication; About the Author; CONTENTS; CASE STUDIES; Foreword by Inderpal Bhandari; Foreword by Aaron Zornes; Preface; PART ONE: Getting Started; Chapter 1: An Introduction to Big Data Governance; Chapter 2: The Big Data Governance Framework; Chapter 3: The Maturity Assessment; Chapter 4: The Business Case; Chapter 5: The Roadmap; PART TWO: Big Data Governance Disciplines; Chapter 6: Organizing for Big Data Governance; Chapter 7: Metadata; Chapter 8: Big Data Privacy; Chapter 9: Big Data Quality; Chapter 10: Business Process Integration; Chapter 11: Master Data Integration
Chapter 12: Managing the Lifecycle of Big DataPART THREE: The Governance of Big Data Types; Chapter 13: Web and Social Media; Chapter 14: Machine-to-Machine Data; Chapter 15: Big Transaction Data; Chapter 16: Biometrics; Chapter 17: Human-Generated Data; PART FOUR: Industry Perspectives; Chapter 18: Healthcare; Chapter 19: Utilities; Chapter 20: Communications Service Providers; PART FIVE: Big Data Technology; Chapter 21: Big Data Reference Architecture; Chapter 22: Big Data Platforms; Appendix A: List of Acronyms; Appendix B: Glossary; Appendix C: Reviewer Profiles Appendix D: Contributor ProfilesIndex |
| Record Nr. | UNINA-9910453193003321 |
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Soares Sunil
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| Boise, : MC Press, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big data governance [[electronic resource] ] : an emerging imperative / / Sunil Soares
| Big data governance [[electronic resource] ] : an emerging imperative / / Sunil Soares |
| Autore | Soares Sunil |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Boise, : MC Press, 2012 |
| Descrizione fisica | 1 online resource (369 p.) |
| Disciplina | 005.74 |
| Soggetto topico |
Information resources management
Knowledge management |
| ISBN | 1-58347-718-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Dedication; About the Author; CONTENTS; CASE STUDIES; Foreword by Inderpal Bhandari; Foreword by Aaron Zornes; Preface; PART ONE: Getting Started; Chapter 1: An Introduction to Big Data Governance; Chapter 2: The Big Data Governance Framework; Chapter 3: The Maturity Assessment; Chapter 4: The Business Case; Chapter 5: The Roadmap; PART TWO: Big Data Governance Disciplines; Chapter 6: Organizing for Big Data Governance; Chapter 7: Metadata; Chapter 8: Big Data Privacy; Chapter 9: Big Data Quality; Chapter 10: Business Process Integration; Chapter 11: Master Data Integration
Chapter 12: Managing the Lifecycle of Big DataPART THREE: The Governance of Big Data Types; Chapter 13: Web and Social Media; Chapter 14: Machine-to-Machine Data; Chapter 15: Big Transaction Data; Chapter 16: Biometrics; Chapter 17: Human-Generated Data; PART FOUR: Industry Perspectives; Chapter 18: Healthcare; Chapter 19: Utilities; Chapter 20: Communications Service Providers; PART FIVE: Big Data Technology; Chapter 21: Big Data Reference Architecture; Chapter 22: Big Data Platforms; Appendix A: List of Acronyms; Appendix B: Glossary; Appendix C: Reviewer Profiles Appendix D: Contributor ProfilesIndex |
| Record Nr. | UNINA-9910790515403321 |
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Soares Sunil
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| Boise, : MC Press, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big data governance [[electronic resource] ] : an emerging imperative / / Sunil Soares
| Big data governance [[electronic resource] ] : an emerging imperative / / Sunil Soares |
| Autore | Soares Sunil |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Boise, : MC Press, 2012 |
| Descrizione fisica | 1 online resource (369 p.) |
| Disciplina | 005.74 |
| Soggetto topico |
Information resources management
Knowledge management |
| ISBN | 1-58347-718-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Copyright; Dedication; About the Author; CONTENTS; CASE STUDIES; Foreword by Inderpal Bhandari; Foreword by Aaron Zornes; Preface; PART ONE: Getting Started; Chapter 1: An Introduction to Big Data Governance; Chapter 2: The Big Data Governance Framework; Chapter 3: The Maturity Assessment; Chapter 4: The Business Case; Chapter 5: The Roadmap; PART TWO: Big Data Governance Disciplines; Chapter 6: Organizing for Big Data Governance; Chapter 7: Metadata; Chapter 8: Big Data Privacy; Chapter 9: Big Data Quality; Chapter 10: Business Process Integration; Chapter 11: Master Data Integration
Chapter 12: Managing the Lifecycle of Big DataPART THREE: The Governance of Big Data Types; Chapter 13: Web and Social Media; Chapter 14: Machine-to-Machine Data; Chapter 15: Big Transaction Data; Chapter 16: Biometrics; Chapter 17: Human-Generated Data; PART FOUR: Industry Perspectives; Chapter 18: Healthcare; Chapter 19: Utilities; Chapter 20: Communications Service Providers; PART FIVE: Big Data Technology; Chapter 21: Big Data Reference Architecture; Chapter 22: Big Data Platforms; Appendix A: List of Acronyms; Appendix B: Glossary; Appendix C: Reviewer Profiles Appendix D: Contributor ProfilesIndex |
| Record Nr. | UNINA-9910810324503321 |
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Soares Sunil
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| Boise, : MC Press, 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data in Organizations and the Role of Human Resource Management
| Big Data in Organizations and the Role of Human Resource Management |
| Autore | M. Scholz Tobias |
| Pubbl/distr/stampa | Peter Lang International Academic Publishing Group, 2017 |
| Descrizione fisica | 1 electronic resource (237 p.) |
| Collana | Personalmanagement und Organisation |
| Soggetto topico |
Economics, finance, business & management
Knowledge management Business & management Business studies: general Business strategy Business innovation Business ethics & social responsibility Management & management techniques Management: leadership & motivation Management of specific areas |
| Soggetto non controllato |
new world of work
socio-technological concurrence ethical data usage homeodynamic organization data constructivism human-data interaction Big data Human resource management |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910563159803321 |
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M. Scholz Tobias
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| Peter Lang International Academic Publishing Group, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The blind tour guide [[electronic resource] /] / Patrick Lambe
| The blind tour guide [[electronic resource] /] / Patrick Lambe |
| Autore | Lambe Patrick <1960-> |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore, : Times Books International, 2002 |
| Descrizione fisica | 1 online resource (166 p.) |
| Disciplina |
380
658 |
| Soggetto topico |
Information technology - Economic aspects
Knowledge management Technological innovations - Management Industrial management Success in business Information society Risk management |
| Soggetto genere / forma | Electronic books. |
| ISBN | 981-261-915-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Contents; Preface; 1 Becoming a New Economy Manager; 2 How are the Mighty Fallen; 3 Sick Companies; 4 Leadership in the New Economy; 5 The Panopticon; 6 Branching Out: Dilemmas in Education; 7 Sisyphus; 8 The Geeks Have It; 9 The Real Threat to Asian Companies; 10 In Praise of Older Workers; 11 Time and Motion; 12 Gutenberg's Periscope; 13 Buying into Risk; 14 The New Landscape of Risk; 15 Fast Technology, Slow People; 16 Slow People, Slower World; 17 Lower Friction, Higher Risk; 18 Who Pays for Risk in the Connected Economy?; 19 Buying Time: Coffee and the New Economy
20 Spending Time: An Anatomy of Outrage 21 Innovating - Inside the Box; 22 Innovation:Out of the (Juke) Box; 23 In Praise of Laggards; 24 Friction is Dead: Long Live Friction; 25 Tale of Dog and Duck; 26 The Old New Economy; Index |
| Altri titoli varianti | Surviving and prospering in the new economy |
| Record Nr. | UNINA-9910454463403321 |
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Lambe Patrick <1960->
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| Singapore, : Times Books International, 2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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