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Corporate Ethics for Turbulent Markets : Executive Response to Market Challenges
| Corporate Ethics for Turbulent Markets : Executive Response to Market Challenges |
| Autore | Mascarenhas Oswald A. J |
| Pubbl/distr/stampa | Emerald Publishing, 2019 |
| Descrizione fisica | 1 online resource (356 pages) |
| Collana | Corporate Ethics for Turbulent Markets |
| Soggetto topico | Business ethics & social responsibility |
| Soggetto non controllato |
Business & Management
Corporate Ethics Market Human Context Ethical Decisions Systems Thinking Moral Reasoning Critical |
| ISBN | 1-78756-191-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover -- Corporate Ethics for Turbulent Markets: Executive Response to Market Challenges -- Copyright Page -- Dedication -- Contents -- List of Cases -- About the Author -- Acknowledgments -- Prologue: Corporate Ethical Response to Turbulent Markets -- Fundamental Questions of Corporate Ethics -- Doing the Right Thing Rightly -- The Core of Dharma -- The Content and Challenge of a Previous Book -- The Structure of This Book -- The Target Audience -- The Uniqueness of This Book -- Notes -- Chapter 1 The Ethics of Dignity of the Human Person -- 1.1. Introduction -- 1.2. Why Ethics of Human Personhood? -- 1.3. Philosophy of the Human Person -- Ethical Questions -- Ethical Reflections -- 1.4. The Great Humanity of Nelson Mandela -- 1.5. The Value and Function of Executive Personhood -- 1.6. What Constitutes Our Human Personhood? -- 1.6.1. Our Unique Immanence -- 1.7. Our Unique Individuality -- 1.8. Our Unique Sociality -- 1.9. Our Unique Transcendence -- 1.10. Current Controversy of Human Dignity vs Human Enhancement -- 1.11. Arguments for Human Enhancement -- 1.12. Arguments Restricting Human Enhancement -- 1.13. What is Human Nature or Dignity and Why and How Sacrosanct Is It? -- 1.14. Concluding Remarks: Executive Freedom and Transcendence -- Notes -- Chapter 2 The Ethics of Corporate Executive Virtues -- 2.1. Introduction -- 2.2. Know Yourself: The Supreme Corporate Virtue -- 2.3. Understanding Virtue: A Historical Perspective -- 2.4. The Executive Virtue of Being Good -- 2.5. The Dharma Concept of Good -- 2.6. Dharma of Buddhism and Taoism -- 2.7. The Primacy of Virtue Ethics -- 2.8. Utilitarian vs Deontological Virtue Ethics in Executive Life -- 2.9. We Need Virtue Ethics Beyond Utilitarian and Deontological Ethics -- 2.10. The Priority of the Ethics of Care -- 2.11. Virtue as the Theory of Ends.
2.12. Executive Virtue as Ethical Consideration of the Contingencies -- 2.13. Corporate Executive Virtue as Eudemonia or Happiness -- 2.14. Corporate Executive Virtue as "Human Flourishing" -- 2.15. The Nature of Happiness in the Corporate World -- 2.16. Characterizing Virtuous Morality Corporate Actions -- 2.17. Realizing Goodness in Corporate Executives -- 2.18. Benevolence and the Four Cardinal Executive Virtues -- 2.19. Cardinal Corporate Virtues in Conflict -- 2.20. Concluding Remarks -- Notes -- Chapter 3 The Ethics of Corporate Trusting Relations -- 3.1. Introduction -- 3.2. The Importance of Trusting Relationships in Business Management -- 3.3. What is Executive Trust? -- 3.4. Definitions of Trust in the Marketing Literature -- The Tata Family -- Reflections -- References -- Ethical Questions -- References -- 3.5. The Ethics of Executive Trust -- 3.6. The Economics of Trust: Low Trust Tax -- 3.7. How Does Trust Work? -- 3.8. Building Trusting Relationships -- 3.9. The Biochemistry of Human Trust -- 3.10. The Psychology of Trust -- 3.11. Building Trust in the Initial Stages -- 3.12. Inter-organizational Trust and Investments -- 3.13. Later Stages of Trust Development -- 3.14. Trust in Buyer-Seller Business Management Relationships -- 3.15. Trust and Relational Contracting in Business Management -- 3.16. Business Management Stakeholder-Executive Cooperation -- 3.17. Opportunism and Opportunistic Behavior -- 3.18. Concluding Remarks -- Notes -- Chapter 4 The Ethics of Corporate Ethical and Moral Charismatic Leadership -- 4.1. The Need for Moral Leadership Today -- JRD Tata's Business Leadership -- Ethical Reflections -- References -- Ethical Questions -- 4.2. The Ethics of Executive Leadership -- 4.3. Part 1: The Theory of Ethical and Moral Leadership -- 4.3.1. Leaders, Leadership, and Followers -- 4.3.2. What is Ethical Leadership?. 4.3.3. What is Moral Leadership? -- 4.3.4. Challenges of Moral Leadership -- 4.3.5. Moral Leadership and Emotions -- 4.3.6. Moral Leadership and Charisma -- 4.3.7. Leadership as Meaning Creation and Meaning Communication -- 4.4. Part 2: The Execution of Moral Leadership -- 4.4.1. Transforming Leadership -- 4.4.2. Steward Leadership -- 4.4.3. Servant Leadership -- 4.4.4. Leadership and Empowerment -- 4.4.5. Max de Pree on Ethical Leadership -- 4.4.6. How We Can Train Moral Leaders -- 4.4.7. Covenantal Leadership -- 4.5. Concluding Remarks -- Notes -- Chapter 5 The Ethics of Corporate Critical Thinking -- 5.1. Introduction -- 5.2. Why Do We Need Critical Thinking? -- 5.3. A Moral Canvas for Critical Thinking -- Ethical Questions -- References -- 5.4. Part 1: Various Approaches to Critical Thinking -- 5.4.1. Critical Thinking as Making Better Sense of the World Around Us -- 5.4.2. Critical Thinking as Reflective Thinking -- 5.4.3. Critical Thinking as Questioning and Challenging -- 5.4.4. Critical Thinking as Spiritual Intelligence -- 5.4.5. Critical Thinking as Valuing Resources Hierarchically -- 5.4.6. Critical Thinking as Building on Your Strengths -- 5.5. Part 2: Some Theories of Critical Thinking -- 5.5.1. Critical Thinking and Defensive Routines -- 5.5.2. Critical Thinking Applied to Human Resource Management -- 5.6. Critical Thinking as Identifying and Combating Biases, Prejudices, and Presumptions in Business Thinking -- 5.6.1. Legal, Ethical, and Moral Issues of GAIL (Case 5.1) -- 5.6.2. Ethical Analysis of Consequences -- 5.7. Concluding Remarks -- Chapter 6 The Ethics of Corporate Stakeholder Rights and Duties -- The Apple-FBI Confrontation Problem -- Some Defend Apple and for Valid Reasons -- Some Defend FBI and Governments and for Valid Reasons -- The Apple and FBI Debate Implications -- Concluding Thoughts -- Ethical Questions. References -- Sources -- Ethical Questions -- Ethical Challenges -- 6.1. The Ethics of Business Rights and Duties -- 6.2. Part 1: The Nature of Corporate Rights and Duties -- 6.2.1. What are Rights? -- 6.2.2. A Hohfeldian Analysis of Rights and Duties -- 6.2.3. Hohfeldian Analysis and Legal Realism -- 6.2.4. Stakeholder Hohfeldian Rights in Corporate Situations -- 6.3. Part 2: Respecting Corporate Rights and Duties -- 6.3.1. Human Solidarity as a Commitment to Human Rights -- 6.3.2. The Debate about Moral Rights -- 6.3.3. Labor Law Reform and Labor Rights and Duties in India -- 6.3.4. "Paid" Media's Violation of Rights and Duties -- 6.4. Concluding Remarks -- Notes -- Chapter 7 The Ethics of Corporate Moral Reasoning, Moral Judgment, and Moral Justification -- 7.1. The Ethics of Executive Moral Reasoning and Moral Judgment -- 7.2. Part 1: General Application of Moral and Ethical Theories to Executive Decisions and Moral Dilemma -- 7.2.1. Kohlberg's Theory of Phases in Moral Reasoning -- 7.2.2. Major Normative Ethical Theories or Systems -- 7.2.2.1. Teleological Moral Reasoning -- 7.2.2.2. Deontological Moral Reasoning -- 7.2.2.3. Distributive Justice-based Moral Reasoning -- 7.2.3. Corrective Justice-based Moral Reasoning -- 7.2.4. The Theory of Equality and Corrective Justice -- 7.2.5. Virtue Ethics and Moral Reasoning -- 7.2.6. Moral Judgments and Moral Justification -- 7.2.7. The Process of Justifying Executive Moral Judgments -- 7.2.8. Rule versus Act Applications of Ethical Theories -- 7.2.9. Corporate Moral Dilemma and Executive Challenges -- 7.2.10. Moral Dilemma and Executive Decisions -- 7.2.11. Resolving Moral Corporate Executive Dilemmas -- 7.2.12. Executive Moral Conflict Management and Moral Reasoning -- 7.3. Part 2: Applying Specific Moral and Ethical Theories to Executive Decisions -- 7.3.1. Kant's Theory of Moral Obligation. 7.3.2. Conscience and Moral Obligation -- 7.3.3. The Ethical Theory of Non-malfeasance -- 7.3.4. The Principle of Double Effect -- 7.4. Concluding Remarks -- Notes -- Chapter 8 The Ethics of Corporate Legal, Ethical, Moral, and Spiritual (LEMS) Responsibility -- Ethical Questions -- References -- A Brief History of Starbucks -- Industry Structure -- Ethical Questions -- References -- 8.1. The Ethics of Executive Moral Responsibility for Corporate Decisions and Outcomes -- 8.1.1. What is Responsibility? -- 8.2. Part 1: Classical Understanding and Discussion on Corporate Responsibility -- 8.2.1. Aristotle's Notion of Responsibility -- 8.2.2. Aristotle's Theory of Actions under Duress -- 8.2.3. Ignorance as a Source of Involuntary Executive Actions -- 8.2.4. What Went Wrong at Starbucks? -- 8.2.5. Aristotle on Voluntary Actions -- 8.2.6. Immanuel Kant: Responsibility as Moral Worth -- 8.2.7. Karl Marx: Responsibility as Historical Determinism -- 8.2.8. Bradley: Attributional Responsibility -- 8.3. Part 2: Contemporary Understanding of Corporate Moral Responsibility -- 8.3.1. Dietrich Bonhoeffer: Responsibility as Commitment and Deputyship -- 8.3.2. Bernard Lonergan: Responsibility as Effective Freedom -- 8.3.3. Elizabeth Beardsley: Ascribing Moral Responsibility to Corporate Executives -- 8.4. Part III: A Synthesis of Classical and Contemporary Views of Executive Responsibility -- 8.4.1. Causal and Agent Responsibility -- 8.4.2. Accountability and Commitment -- 8.5. Concluding Remarks -- Notes -- Epilogue Corporate Cosmic Spirituality for Today -- Introduction -- What is Corporate Spirituality? -- Corporate Ethics Is Not Enough -- On Corporate Spiritual Leadership -- Reflection-based Corporate Spirituality -- Is Interfering with Human Nature "Playing God" and Hence Morally Problematic? -- Ignatian Spirituality: Finding God in All Things. Concluding Remarks. |
| Record Nr. | UNISA-996313350203316 |
Mascarenhas Oswald A. J
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| Emerald Publishing, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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The Elements of Big Data Value [[electronic resource] ] : Foundations of the Research and Innovation Ecosystem
| The Elements of Big Data Value [[electronic resource] ] : Foundations of the Research and Innovation Ecosystem |
| Autore | Curry Edward |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
| Descrizione fisica | 1 online resource (412 p.) |
| Altri autori (Persone) |
MetzgerAndreas
ZillnerSonja PazzagliaJean-Christophe García RoblesAna |
| Soggetto topico |
Information retrieval
Business & management Research & development management Information technology industries Databases |
| Soggetto non controllato |
Information Storage and Retrieval
Business and Management, general Innovation/Technology Management The Computer Industry Big Data Innovation and Technology Management Technology Commercialization Digital Transformation Innovation Spaces Data-Driven Innovation Data Analytics Technology Management Data Ecosystems Data Protection Big Data Business Models Open Access Information retrieval Data warehousing Business & Management Research & development management Industrial applications of scientific research & technological innovation Information technology industries Databases |
| ISBN | 3-030-68176-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996464495403316 |
|
Curry Edward
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| Cham, : Springer International Publishing AG, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
The Elements of Big Data Value : Foundations of the Research and Innovation Ecosystem
| The Elements of Big Data Value : Foundations of the Research and Innovation Ecosystem |
| Autore | Curry Edward |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
| Descrizione fisica | 1 online resource (412 p.) |
| Altri autori (Persone) |
MetzgerAndreas
ZillnerSonja PazzagliaJean-Christophe García RoblesAna |
| Collana | Computer Science Series |
| Soggetto topico |
Information retrieval
Business & management Research & development management Information technology industries Databases |
| Soggetto non controllato |
Information Storage and Retrieval
Business and Management, general Innovation/Technology Management The Computer Industry Big Data Innovation and Technology Management Technology Commercialization Digital Transformation Innovation Spaces Data-Driven Innovation Data Analytics Technology Management Data Ecosystems Data Protection Big Data Business Models Open Access Information retrieval Data warehousing Business & Management Research & development management Industrial applications of scientific research & technological innovation Information technology industries Databases |
| ISBN | 3-030-68176-9 |
| Classificazione | BUS042000BUS070030BUS087000COM021000COM030000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Foreword -- Foreword -- Foreword -- Preface -- Acknowledgements -- Contents -- Editors and Contributors -- Part I: Ecosystem Elements of Big Data Value -- The European Big Data Value Ecosystem -- 1 Introduction -- 2 What Is Big Data Value? -- 3 Strategic Importance of Big Data Value -- 4 Developing a European Big Data Value Ecosystem -- 4.1 Challenges -- 4.2 A Call for Action -- 4.3 The Big Data Value PPP (BDV PPP) -- 4.4 Big Data Value Association -- 5 The Elements of Big Data Value -- 5.1 Ecosystem Elements of Big Data Value -- 5.2 Research and Innovation Elements of Big Data Value -- 5.3 Business, Policy and Societal Elements of Big Data Value -- 5.4 Emerging Elements of Big Data Value -- 6 Summary -- References -- Stakeholder Analysis of Data Ecosystems -- 1 Introduction -- 2 Stakeholder Analysis -- 3 Who Is a Stakeholder? -- 4 Methodology -- 4.1 Phase 1: Case Studies -- 4.2 Phase 2: Cross-Case Analysis -- 5 Sectoral Case Studies -- 6 Cross-Case Analysis -- 6.1 Technology Adoption Stage -- 6.2 Data Value Chain -- 6.3 Strategic Impact of IT -- 6.4 Stakeholder Characteristics -- 6.5 Stakeholder Influence -- 7 Summary -- References -- A Roadmap to Drive Adoption of Data Ecosystems -- 1 Introduction -- 2 Challenges for the Adoption of Big Data Value -- 3 Big Data Value Public-Private Partnership -- 3.1 The Big Data Value Ecosystem -- 4 Five Mechanism to Drive Adoption -- 4.1 European Innovation Spaces (i-Spaces) -- 4.2 Lighthouse Projects -- 4.3 Technical Projects -- 4.4 Platforms for Data Sharing -- 4.4.1 Industrial Data Platforms (IDP) -- 4.4.2 Personal Data Platforms (PDP) -- 4.5 Cooperation and Coordination Projects -- 5 Roadmap for Adoption of Big Data Value -- 6 European Data Value Ecosystem Development -- 7 Summary -- References -- Achievements and Impact of the Big Data Value Public-Private Partnership: The Story so Far.
1 Introduction -- 2 The Big Data Value PPP -- 2.1 BDV PPP Vision and Objectives for European Big Data Value -- 2.2 Big Data Value Association (BDVA) -- 2.3 BDV PPP Objectives -- 2.4 BDV PPP Governance -- 2.5 BDV PPP Monitoring Framework -- 3 Main Activities and Achievements During 2018 -- 3.1 Mobilisation of Stakeholders, Outreach, Success Stories -- 4 Monitored Achievements and Impact of the PPP -- 4.1 Achievement of the Goals of the PPP -- 4.2 Progress Achieved on KPIs -- 4.2.1 Private Investments -- 4.2.2 Job Creation, New Skills and Job Profiles -- 4.2.3 Impact of the BDV PPP on SMEs -- 4.2.4 Innovations Emerging from Projects -- 4.2.5 Supporting Major Sectors and Major Domains with Big Data Technologies and Applications -- 4.2.6 Experimentation -- 4.2.7 SRIA Implementation and Update -- 4.2.8 Technical Projects -- 4.2.9 Macro-economic KPIs -- 4.2.10 Contributions to Environmental Challenges -- 4.2.11 Standardisation Activities with European Standardisation Bodies -- 5 Summary and Outlook -- References -- Part II: Research and Innovation Elements of Big Data Value -- Technical Research Priorities for Big Data -- 1 Introduction -- 2 Methodology -- 2.1 Technology State of the Art and Sector Analysis -- 2.2 Subject Matter Expert Interviews -- 2.3 Stakeholder Workshops -- 2.4 Requirement Consolidation -- 2.5 Community Survey -- 3 Research Priorities for Big Data Value -- 3.1 Priority `Data Management´ -- 3.1.1 Challenges -- 3.1.2 Outcomes -- 3.2 Priority `Data Processing Architectures´ -- 3.2.1 Challenges -- 3.2.2 Outcomes -- 3.3 Priority `Data Analytics´ -- 3.3.1 Challenges -- 3.3.2 Outcomes -- 3.4 Priority `Data Visualisation and User Interaction´ -- 3.4.1 Challenges -- 3.4.2 Outcomes -- 3.5 Priority `Data Protection´ -- 3.5.1 Challenges -- 3.5.2 Outcomes -- 4 Big Data Standardisation -- 5 Engineering and DevOps for Big Data -- 5.1 Challenges. 5.2 Outcomes -- 6 Illustrative Scenario in Healthcare -- 7 Summary -- References -- A Reference Model for Big Data Technologies -- 1 Introduction -- 2 Reference Model -- 2.1 Horizontal Concerns -- 2.1.1 Data Visualisation and User Interaction -- 2.1.2 Data Analytics -- 2.1.3 Data Processing Architectures -- 2.1.4 Data Protection -- 2.1.5 Data Management -- 2.1.6 Cloud and High-Performance Computing (HPC) -- 2.1.7 IoT, CPS, Edge and Fog Computing -- 2.2 Vertical Concerns -- 2.2.1 Big Data Types and Semantics -- 2.2.2 Standards -- 2.2.3 Communication and Connectivity -- 2.2.4 Cybersecurity -- 2.2.5 Engineering and DevOps for Building Big Data Value Systems -- 2.2.6 Marketplaces, Industrial Data Platforms and Personal Data Platforms (IDPs/PDPs), Ecosystems for Data Sharing and Innovat... -- 3 Transforming Transport Case Study -- 3.1 Data Analytics -- 3.2 Data Visualisation -- 3.3 Data Management -- 3.4 Assessing the Impact of Big Data Technologies -- 3.5 Use Case Conclusion -- 4 Summary -- References -- Data Protection in the Era of Artificial Intelligence: Trends, Existing Solutions and Recommendations for Privacy-Preserving T... -- 1 Introduction -- 1.1 Aim of the Chapter -- 1.2 Context -- 2 Challenges to Security and Privacy in Big Data -- 3 Current Trends and Solutions in Privacy-Preserving Technologies -- 3.1 Trend 1: User-Centred Data Protection -- 3.2 Trend 2: Automated Compliance and Tools for Transparency -- 3.3 Trend 3: Learning with Big Data in a Privacy-Friendly and Confidential Way -- 3.4 Future Direction for Policy and Technology Development: Implementing the Old and Developing the New -- 4 Recommendations for Privacy-Preserving Technologies -- References -- A Best Practice Framework for Centres of Excellence in Big Data and Artificial Intelligence -- 1 Introduction -- 2 Innovation Ecosystems and Centres of Excellence. 2.1 What Are Centres of Excellence? -- 3 Methodology -- 4 Best Practice Framework for Big Data and Artificial Intelligence Centre of Excellence -- 4.1 Environment -- 4.1.1 Industry -- 4.1.2 Policy -- 4.1.3 Societal -- 4.2 Strategic Capabilities -- 4.2.1 Strategy -- 4.2.2 Governance -- 4.2.3 Structure -- 4.2.4 Funding -- 4.2.5 People -- 4.2.6 Culture -- 4.3 Operational Capabilities -- 4.4 Impact -- 4.4.1 Economic Impact -- 4.4.2 Scientific Impact -- 4.4.3 Societal Impact -- 4.4.4 Impact Measured Through KPIs -- 5 How to Use the Framework -- 5.1 Framework in Action -- 6 Critical Success Factors for Centres of Excellence -- 6.1 Challenges -- 6.2 Success Factors -- 6.3 Mechanisms to Address Challenges -- 6.4 Ideal Situation -- 7 Summary -- References -- Data Innovation Spaces -- 1 Introduction -- 2 Introduction to the European Data Innovation Spaces -- 3 Key Elements of an i-Space -- 4 Role of an i-Space and its Alignment with Other Initiatives -- 5 BDVA i-Spaces Certification Process -- 6 Impact of i-Spaces in Their Local Innovation Ecosystems -- 7 Cross-Border Collaboration: Towards a European Federation of i-Spaces -- 8 Success Stories -- 8.1 CeADAR: Ireland´s Centre for Applied Artificial Intelligence -- 8.2 CINECA -- 8.3 EGI -- 8.4 EURECAT/Big Data CoE Barcelona -- 8.5 ITAINNOVA/Aragon DIH -- 8.6 ITI/Data Cycle Hub -- 8.7 Know-Center -- 8.8 NCSR Demokritos/Attica Hub for the Economy of Data and Devices (ahedd) -- 8.9 RISE/ICE by RISE -- 8.10 Smart Data Innovation Lab (SDIL) -- 8.11 TeraLab -- 8.12 Universidad Politécnica de Madrid/Madrid´s i-Space for Sustainability/AIR4S DIH -- 9 Summary -- Reference -- Part III: Business, Policy, and Societal Elements of Big Data Value -- Big Data Value Creation by Example -- 1 Introduction -- 2 How Can Big Data Transform Everyday Mobility and Logistics?. 3 Digitalizing Forestry by Harnessing the Power of Big Data -- 4 GATE: First Big Data Centre of Excellence in Bulgaria -- 5 Beyond Privacy: Ethical and Societal Implications of Data Science -- 6 A Three-Year Journey to Insights and Investment -- 7 Scaling Up Data-Centric Start-Ups -- 8 Campaign Booster -- 9 AI Technology Meets Animal Welfare to Sustainably Feed the World -- 10 Creating the Next Generation of Smart Manufacturing with Federated Learning -- 11 Towards Open and Agile Big Data Analytics in Financial Sector -- 12 Electric Vehicles for Humans -- 13 Enabling 5G in Europe -- 14 Summary -- References -- Business Models and Ecosystem for Big Data -- 1 Introduction -- 2 Big Data Business Approaches -- 2.1 Optimisation and Improvements -- 2.2 Upgrading and Revaluation -- 2.3 Monetising -- 2.4 Breakthrough -- 3 Data-Driven Business Opportunities -- 4 Leveraging the Data Ecosystems -- 4.1 Data-Sharing Ecosystem -- 4.2 Data Innovation Ecosystems -- 4.3 Value Networks in a Business Ecosystem -- 5 Data-Driven Innovation Framework and Success Stories -- 5.1 The Data-Driven Innovation Framework -- 5.2 Examples of Success Stories -- 5.2.1 Selectionnist -- 5.2.2 Arable -- 6 Conclusion -- References -- Innovation in Times of Big Data and AI: Introducing the Data-Driven Innovation (DDI) Framework -- 1 Introduction -- 2 Data-Driven Innovation -- 2.1 What Are Business Opportunities? -- 2.2 Characteristics of Data-Driven Innovation -- 2.3 How to Screen Data-Driven Innovation? -- 3 The ``Making-of´´ the DDI Framework -- 3.1 State-of-the-Art Analysis -- 3.2 DDI Ontology Building -- 3.3 Data Collection and Coding -- 3.3.1 Selection Criteria -- 3.3.2 Sample Data Generation -- 3.3.3 Coding of Data -- 3.4 Data Analysis -- 4 Findings of the Empirical DDI Research Study -- 4.1 General Findings -- 4.2 Value Proposition -- 4.3 Data -- 4.4 Technology. 4.5 Network Strategies. |
| Record Nr. | UNINA-9910488709403321 |
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Curry Edward
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| Cham, : Springer International Publishing AG, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Social Selling Im B2B : Grundlagen, Tools, State of the Art
| Social Selling Im B2B : Grundlagen, Tools, State of the Art |
| Autore | Römmelt Benedikt |
| Pubbl/distr/stampa | Springer Nature, 2021 |
| Descrizione fisica | 1 online resource (65 pages) |
| Collana | Essentials |
| Soggetto topico | Business & management |
| Soggetto non controllato |
Business and Management, general
Sales and Distribution Marketing Social Media Marketing Digitales Marketing One-to-one-Marketing Personal Selling B2B-Marketing Open Access Business & Management |
| ISBN | 3-658-33772-9 |
| Classificazione | BUS042000BUS043000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Record Nr. | UNINA-9910473453003321 |
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Römmelt Benedikt
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| Springer Nature, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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