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ویرایش: [1st ed. 2023]
نویسندگان: Philipp Futterknecht. Tobias Hertfelder
سری:
ISBN (شابک) : 3658416009, 9783658416003
ناشر: Springer
سال نشر: 2023
تعداد صفحات: 222
زبان: English
فرمت فایل : EPUB (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود)
حجم فایل: 29 Mb
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در صورت تبدیل فایل کتاب Data, Disruption & Digital Leadership: How to Win the Innovation Game به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب داده، اختلال و رهبری دیجیتال: چگونه در بازی نوآوری برنده شویم نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
از زمان نظریه نسبیت می دانیم که اجسام عظیم با گرانش خود اشیا را جذب می کنند. هر چه جرم بیشتر باشد، نیروی جاذبه بیشتر است. در پروژه های استراتژیک هم همینطور است. هر شرکت کننده پروژه یک شرکت کننده عظیم است و بر تعامل تأثیر دارد. آنچه به طور چشمگیری تغییر کرده است تأثیر داده ها بر این فرآیند است. کسانی که این را در نظر نگیرند در آینده متحمل خسارات هنگفتی خواهند شد. همانطور که این تغییر تعادل جدیدی ایجاد می کند، شانس موفقیت روش ها و رفتارهای مورد استفاده نیز تغییر می کند. در این کتاب، یاد خواهید گرفت که چگونه بر این تغییر مسلط شوید و چه کارهایی باید انجام دهید.
Since the theory of relativity we know that massive objects attract things by their gravitation. The greater the mass, the greater the force of attraction. It is the same in strategy projects. Each project participant is a massive participant and has an impact on the interaction. What has changed dramatically is the influence of data on this process. Those who do not take this into account will suffer enormous losses in the future. As this change creates a new equilibrium, the chances of success of the methods and behaviors used also change. In this book, you will learn how to master this change and what you need to do so.
Preface Contents About the Authors List of Figures List of Table 1: Innovation Strategy 2030: One Step Ahead of Its Time 1.1 Our Digital Innovation Universe 1.2 Introduction 1.3 Building Blocks for Successful Disruptive Innovation Strategies 1.4 Quick Start Guides 1.4.1 Quick Start Guide #1: The Lifespan of a Strategy (Chap. 2) 1.4.2 Quick Start Guide #2: The H&F Strategy Process (Chap. 3) 1.4.3 Quick Start Guide #3: Practical Examples (Chap. 4) 1.4.4 Quick Start Guide #4: Deep Dive Expert Mode (Chap. 5) 1.4.5 Quick Start Guide #5: Technological Catalysts (Chap. 6) 2: Why Long-Term Innovation Strategies Will No Longer Be Effective in the Future 2.1 Increasing Network Density 2.1.1 Connected Systems and Their Dynamics Example. 2.1.2 Dealing with Complexity 2.1.3 The Effect of Decisions 2.1.4 Success Through the Reduction of Complexity in Innovation Strategy Work Example 2.1.5 Experimenting with Complexity 2.1.6 Future Actions 2.1.7 Emergence of the Basis for Future Innovation Strategies 2.1.7.1 Combining Individual Building Blocks into an Overall Innovation Strategy 2.1.7.2 Knowledge Centers Instead of Planning Units 2.1.7.3 Future Pattern Recognition Will Only Be Possible Collectively 2.1.7.4 Organization Within the Company Summary 2.2 Leadership Power Shifts 2.2.1 Changing from the `Sender Principle´ to the Democratization of Companies 2.2.2 The Resonance Capacity of Networks 2.2.3 Competitors Lose Importance 2.2.4 The Role of Project Stakeholders in Innovation Strategy Processes 2.2.5 Success Through the Intelligence of the Collective Summary 2.3 Implementer Mindset 2.3.1 A New Generation of Digital Leaders 2.3.2 Significant Clusters 2.3.2.1 Defense of the Status Quo 2.3.2.2 Satisfaction in the Present 2.3.2.3 Desire for Permanent Change 2.3.3 Significant Issues for the Strategic Work of the Future Summary 3: The H&F Strategy Process 3.1 Confusion Instead of Clout 3.1.1 The 10 Obstacles that Prevent Companies from Becoming High Performers in the Implementation of Management and Innovation... 3.1.1.1 Incorrect Assessment of Future Market Power Example 3.1.1.2 Target Chaos Across All Hierarchical Levels 3.1.1.3 Clear Strategic Results Can Only Be Achieved by Analyzing Complicated and Complex Processes How Do I Approach a Complex Task in Order to Obtain a Simple Solution? 3.1.1.4 ``You and I´´ Instead of ``We´´ 3.1.1.5 The Industrial Age Has Given Up Its Throne 3.1.1.6 We Are No Longer Wandering Through Our Imaginary Universe-We Have Arrived in the Midst of Global Competition Increase in the Speed of Technology Transfer Rapid Emergence of New Markets Abrupt Disappearance of Existing Markets Working Against an Invisible Corporate Environment Shorter Half-Lives Due to the New Throwaway Society 3.1.1.7 Generation Y and Individual Biorhythms 3.1.1.8 Silicon Valley Working Practices Are Leaving Us behind 3.1.1.9 China´s Secret Weapon Is Still under the Radar 3.1.1.10 Gains in Efficiency Are Cancelled Out by Disproportionate Consumption Summary 3.2 Concentrating on the Goal: Full Speed Ahead 3.2.1 Does a Strategy Project Have to Be a Nightmare? Why Complex Projects Will Always Fail in Terms of Planning and Timing 3.2.1.1 Focusing on the Goal: The Basic Problem Has Not Been Clarified! Important 3.2.1.2 Commitment: Do You Have Everyone on Board? Important 3.2.1.3 Differentiating Between Complicated and Complex Systems Important 3.2.1.4 Emotions and Shared Values The Effect of Emotions Important Decision Makers and Fear Consistency Example Discipline 3.2.1.5 Risk and Fear Important Defining ``Hope´´ 3.2.1.6 Practical Example for Self-Reflection Example Questions 3.2.2 The Mechanics of Management: Why Traditional Methods Will No Longer Be Effective in the Future 3.2.2.1 Direction of Thinking vs. Direction of Working (Goal Start vs. Start Goal) Experience: Based on the Past But in the Here and Now (Start Finish) Optimization: Based on Experience Back to the Future: Vision-Led (Goal Start) Revolution/Innovation: Based on the Future! The Space-X Example 3.2.2.2 Push vs. Pull Management Push Management: Focusing on `How´ Example Pull Management: Focusing on the `What´ and the `What for´ (Planning vs. Results) 3.2.2.3 Planning vs. Outcome Planning and Control Outcome Status and Progress 3.2.2.4 Security vs. Speed Speed and Content Are Equally Important Projects That Take Too Long Lose Value The Pareto Principle (Fake) Security Speed/Agility 3.2.2.5 Emotions: Fear vs. Passion and Trust When the Primary Emotion Is Fear of Implementation The Pulling Power of Passion and Trust 3.2.2.6 Implementation Technocracy vs. Implementation Momentum Implementation Technocracy: Guilt, Shame, and Justification Culture Implementation Momentum: Pride and Motivation through Permanent Progress and Success 3.2.2.7 Transparency 3.2.2.8 Knowledge Transfer and Wording Summary 3.3 Can You Manage Change on Your Own? 3.3.1 Change 3.3.1.1 Thinking in the Future, Not the Past 3.3.1.2 Direction of Thought Is Not the Same as Direction of Work The Goal (Impact) Example Result (Outcome/Key Result) Example Output Example Input Example 3.3.1.3 Your Most Important Project Participants Are Always Humans Example 3.3.2 Soft Factors That Can Kill an Innovation Strategy Project 3.3.2.1 Use Expert Transparency Capabilities to Read Between the Lines Example 3.3.2.2 Raising Awareness Through a Lack of Perspective 3.3.2.3 There Is More Philosophy Involved in Strategy Topics Than You Think: Efficient Implementation Is Impossible Without th... 3.3.2.4 The Cost-Benefit Factor in External Resources 3.3.2.5 Our Goal Is your Goal Summary 3.4 Preparing to Implement the H&F High Speed and Efficiency Concept 3.4.1 Shared Values in Companies Example 3.4.2 Implementation Strength and Speed 3.4.3 No Project Can Succeed Without Auto-Suggestion 3.4.4 Added Value: The Benefits 3.4.5 Orientation Within the Diffuse Strategy Cloud Summary 3.5 The H&F High Speed and Efficiency Concept 3.5.1 The H&F Strategy Approach from a `Helicopter´ Viewpoint 3.5.1.1 Vision/Objective and Mission Statement 3.5.1.2 Strategy Modules 3.5.1.3 Focus and Implementation Derivation of the Strategy Modules for OKR Team Meeting OKR Evaluation of OKR Objective Achievement OKR Optimization OKR Owner or Strategy Module Owner 3.5.2 Clarification of Company Purpose (Every 5-10 Years) 3.5.3 The Emotional Approach (3-5 Year Timeline) 3.5.4 Strategy Modules (1-2 Year Timeline) 3.5.4.1 The Strategy Building: Goal Pillars and their Strategy Components 3.5.4.2 The Structure of the Individual Strategy Pillars 3.5.4.3 Creating Workstreams 3.5.4.4 Developing Detailed Goal Stories Example 3.5.4.5 Presentation of Workstream Issues in Relation to their Operational and Strategic Components, Based on Impact Assessment 3.5.4.6 Prioritizing the Puzzle Pieces 3.5.4.7 The Finished Strategy Building 3.5.5 Focus and Implementation: Definition of Detailed Objectives and Key Results (3-12 Month Timeline) 3.5.5.1 Goal Definition per Strategy Module (i.e., per Puzzle Piece) 3.5.5.2 Key Results for the Predefined Strategy Modules Sample Goal Definition and Key Results Measurability, Achievability, and Incentives 3.5.6 Speed and Progress: Agile Methods (2-4 Week Timeline) 3.5.6.1 Tactics: How Do We Achieve the Desired Result? Example 3.5.6.2 A Board Makes Perfection and Planning Redundant 3.5.6.3 Implementation 3.5.7 Role Allocation: The Project Organization 3.5.7.1 Overview: The Organizational Pyramid Project Owner Core Team Workstreams Strategy Pillars/Workstream Sponsors The Project Office Is the Key to Success 3.5.7.2 Rapid Decisions Are the Basis of all Progress Example 3.5.7.3 Key Results Implementation Team 3.5.7.4 Organizational Units in a Company 3.5.8 Rules and Understanding 3.5.8.1 The Most Important Rule: Permanent Progress! 3.5.8.2 Fast, Proactive Communication Use Mentors and Experts 3.5.8.3 Stabilize the Project Framework and Arrange Mandatory Core Team Meetings Summary 4: Practical Examples for the Prevention of Known Stumbling Blocks in OKR Innovation Strategy Projects 4.1 We´ve Started, So We´re Going to See It Through 4.1.1 Sensitivity to Change 4.1.2 Cohesion at Crucial Moments 4.1.2.1 Team Hardliner 4.1.2.2 The `German Oak´ 4.1.2.3 On the Run 4.1.2.4 The Vigilant Ones 4.2 Do Not Follow Blindly! 4.2.1 The Aura Effect 4.2.2 The Glue Effect 4.2.3 The Pygmalion Effect Example 4.2.4 The Similar-to-Me Effect 4.2.5 The Halo Effect 4.2.6 The Benjamin Effect 4.2.7 The Hierarchy Effect 4.2.8 The Dunning-Kruger Effect 4.3 We Want to Be Like Amazon 4.4 The Deep Rift Between the Beneficiary and the Implementer 4.5 External Aid = Internal Dilemma 4.6 Starting Too Fast or Waiting Too Long 4.7 A Lack of Application at the Beginning of the Project 4.8 Dealing with Skeptics 4.8.1 Don´t Give Way to Skeptics Who Generalize 4.9 Copying Too Much from Others 4.9.1 Copying Makes Sense 4.9.2 Benchmarking 4.9.3 Best Practices 4.9.4 Company Characteristics 4.9.5 If You Are Going to Copy, Do It Properly 4.10 Ignoring New Market Factors 4.10.1 The Hockey Stick Curve 4.11 If It Hurts, I´ll Turn Back 4.12 Missing the Upward Spiral Due to Failed Adaptation 4.12.1 Adaptation into a Downward Spiral 4.12.2 Adaptation into an Upward Spiral Summary 5: Deep Diving into Innovation Strategy Development 5.1 Strategy Project Input Factors: Best Practices, Innovation, and Methodology 5.1.1 Best Practices 5.1.2 Innovation 5.1.3 Methodology Side Note 5.2 Too Many Decision-Makers: Group Decisions Paralyze the Process Summary 5.3 Optimizing Project Team Membership 5.3.1 Better No Team Than the Wrong Team 5.3.1.1 People´s Ability to Change 5.3.2 Love What You Do 5.3.3 Find People Who Are Prepared to Take a Plunge 5.3.4 Mix Visionaries with Movers and Shakers 5.3.5 Transforming Criticism into Progress 5.3.6 Questions to Ask Project Stakeholders at the Start Questions 5.3.7 Recognition Summary 5.4 Finding Alternatives Instead of Persisting 5.5 Characteristics and Behavior of Digital Leaders 5.5.1 The Notebook 5.5.2 Friction 5.5.3 An Eye for Progress Example 5.5.4 Learn to Observe 5.5.5 Different Viewpoints 5.5.5.1 Looking at Things from Your Opposite Number´s Viewpoint 5.5.5.2 Paying Attention as a Change of Perspective Example 5.5.6 Deception 5.5.7 Analogies: Pattern Recognition 5.5.7.1 Aptitude 5.5.7.2 Experience 5.5.7.3 Practice Analyzing Your Project Team 5.5.7.4 Pattern Recognition Still Possible Despite Blur 5.5.8 Instinct Summary 5.6 Efficient Communication 5.6.1 Space for Communication 5.6.2 Using a Moderator Summary 6: Technological Catalysts in Innovation Strategy Implementation 6.1 Management Level: Summary Example 6.2 CIO Level: Summary 6.3 Knowledge Production Example 6.3.1 Speed and Forecasting Accuracy as an Outcome of Networking and Knowledge Production Summary 6.4 Networking: Tomorrow´s Technical Vision 6.4.1 Today´s Technical State of the Art 6.4.2 The Requirements of the Future 6.4.2.1 System Complexity 6.4.2.2 System Individuality and the Individuality of Data Content 6.4.2.3 Networking Hierarchies 6.4.2.4 Competence/Expertise 6.4.2.5 Transformation/Language Barriers 6.4.2.6 Degree of Interconnectedness 6.4.2.7 Technological Progress 6.4.3 Looking Ahead at the Years Between Now and 2030 Reality 6.4.3.1 The State of the Art 6.4.4 The Goal Example Summary 6.5 Added Value to Be Generated by 2030 (Outcome/Result) 6.5.1 Scalability 6.5.2 New Markets and Customers 6.5.3 Speed 6.5.4 Automation Efficiency 6.5.5 Competitive Advantages 6.5.6 Knowledge Provider Example Summary 6.6 Products and Solutions (Output) 6.6.1 The Concept of Platforms 6.6.1.1 Today´s Issues 6.6.1.2 The Solution 6.6.1.3 The Future: One-Click Networking and Implementation 6.6.1.4 Software/Platform as a Service 6.6.1.5 ``I Can Connect That Myself´´ Is a Fallacy Example 6.6.2 Knowledge Though Data Example 6.6.3 Community Spirit (Global, Not Individual) 6.6.4 One Single Ecosystem 6.6.5 Data Mining 6.6.5.1 Static Data Processing 6.6.5.2 Dynamic Data Processing Summary 6.7 Community-Capable Software Architecture 6.7.1 Networks 6.7.1.1 Enterprise Networks (ERP2ERP, EDI-1:1) 6.7.1.2 Platform Networks (B2B or B2C Portals) 6.7.1.3 Portal Networks (API: Amazon, DHL, Etc.) Example 6.7.1.4 The IoT Network (Devices, Industry 4.0) 6.7.1.5 Cloud Networks (Azure, Amazon, Google, EU Cloud, and so on) 6.7.2 Data Flows/Networking (Pipelines) 6.7.2.1 The Input/Output Concept (Satellite Systems) 6.7.3 Connection/Connectors (End Points) 6.7.3.1 Technologies (REST API, File, On-Site Etc.) 6.7.4 Transformation Models Example 6.7.4.1 Technologies Used 6.7.4.2 The Transformation Model (Components: Mapping, Splitting Etc.) 6.7.5 Cloud and Connector Architecture 6.7.5.1 The Feedback Model 6.7.5.2 Functional Overview: Connectors and Cloud Connections Example 6.7.6 Research Findings 6.7.6.1 Why Robots for Process Automation (RPA) Already Work but Struggle to Gain Acceptance Example 6.7.7 Manual vs. AI-supported Data Standardization Data Normalization Approach Transformation Approach 6.7.8 Security and Data Protection 6.7.8.1 Preface to Security and Data Protection 6.7.8.2 Data Differentiation (Independent Customer Database) 6.7.8.3 Strategies for Reducing Public Cloud Risks 6.7.9 System Stability 6.7.9.1 Preventative Mechanisms 6.7.9.2 Technical Measures 6.7.10 Quality Assurance Measures 6.7.10.1 Error Tracking 6.7.10.2 Continuous Integration (CI) Example 6.7.10.3 Automated Tests 6.7.11 Process Security The Most Important Points at a Glance 7: Outlook