Über uns

À propos de nous

Nachhaltigkeit

Durabilité

Open Access

Karriere

Carrière

Datenschutz

Protection des données

Impressum

Mentions légales

Zahlung und Lieferung

Paiement et livraison

LEXIA

LEXIA Arbeitsrecht

Was ist LEXIA?

C'est quoi LEXIA ?

LEXIA Familienrecht

Zeitschriften

Revues

recht

Pflegerecht

ZBJV

forumpoenale

ZStrR

Anwaltsrevue

Revue de l'avocat

RSAS

FamPra.ch

ASYL

Life Science Recht

BlAR

Sachbuch

Livres spécialisés

LOKI

Semaphor

Fokusthemen

Focus

Thema

Recht studieren

Arbeitsrecht

Droit du travail

Studium

Études

Familienrecht

Droit de la famille

Sozialversicherungsrecht

Droit des assurances sociales

Strafrecht

Droit pénal

Publikationen

Publications

Literatur

Onlinemodule LEXIA

Modules en ligne LEXIA

Bücher

Livres

Buchreihen

Collections

Datenbanken

recht.ch

Studienliteratur

Littérature pour les études

Services

Dienstleistungen für

Corporate Books

Publishing Lösungen

Aktuelles

Geschäftskunden

Professionnels

Corporate Publishing

Content solutions

Buchhandlungen

Librairies

Veranstaltungen

Événements

Presse

Dozierende

Enseignants

Studierende

Étudiants

Inserierende

Annonceurs

Newsletter

Blog

Autorinnen/Autoren

Auteurs

Unsere Schreibenden

Hilfe

Unsere Autorinnen und Autoren

Liste

Autorenlounge

Espace des auteurs

Bei uns publizieren

Publier chez nous

Autorenstimmen

Témoignages

Verlag

Éditions

Themen

Mehr wissen

Mitarbeitende

Collaborateurs

Geschichte

Histoire

Vision und Mission

Vision et mission

Unser Magazin

Notre magazine

Unternehmenskultur

Culture d'entreprise

Partner

Partenaires

Kontakt

Contact

Shop

Schweizer Recht

Ausländisches Recht

Über unseren Shop

Neuerscheinungen

Nouveautés

Unsere Funktionen

Nos fonctions

Vorankündigungen

À paraître

Nach Rechtsgebiet

Par domaine juridique

Kommentare

Commentaires

Gesamtkatalog

Catalogue complet

Kunc M: Strategic Analytics

Strategic Analytics

Towards AI-based Strategy Planning

Preface to Second Edition xiii Acknowledgments xv About the Companion Website xvii 1 Introduction to Strategic Analytics 1 1.1 What Is Analytics? 3 1.2 What Is Management Science? 10 1.3 What Is Information Technology: New Challenges? 20 1.4 What Is AI and How Can It Enhance Business Analytics? 23 1.4.1 Integration of GenAI with BA 26 1.4.2 Implications of AI Adoption in Business Decision- making Processes 29 1.5 What Is Strategic Management? 31 1.5.1 What Are the Characteristics of Strategic Problems? 33 1.5.2 Different Approaches to Strategic Management 36 1.6 Strategy Analytics: Integrating Management Science and AI with Strategic Management 40 References 44 2 Dynamic Managerial Capabilities for a Complex World with AI 49 2.1 Dynamic Managerial Capabilities 50 2.1.1 Task Dimension 53 2.1.2 Cognitive Dimension 54 2.1.3 Behavior Dimension 55 2.1.4 AI Dimension 57 2.2 Integrating Management Science, Analytics, and AI for Strategic Management Practice 61 2.2.1 Managers as Modelers 62 2.2.2 Behavior with and Beyond Models 65 2.2.3 Modeling Systems 66 2.2.4 Big Data Analytics Capabilities 69 2.2.5 AI Capabilities 70 2.3 End of Chapter 73 2.3.1 Revision Questions 74 2.3.2 Case Study: The Future of Strategizing with AI 74 References 77 Further Reading 82 3 External Environment: Political, Economic, Societal, Technological, and Environmental Factors 85 3.1 The PESTE Analysis 87 3.1.1 Limitations of PESTE Analysis 88 3.2 Integrating Management Science, Analytics, and AI for Strategic Management Practice 92 3.2.1 Achieving Consistency in PESTE Analysis Using the Analytic Hierarchy Process 92 3.2.2 Understanding the Evolution of PESTE Factors Using Visualization Analytics 105 3.2.3 Scanning PESTE Factors Using AI 106 3.2.4 Developing Scenarios Supported With AI 107 3.2.5 Developing Scenarios Supported With System Dynamics 108 3.3 End of Chapter 109 3.3.1 Revision Questions 110 3.3.2 Case Study: Westmill Co- op and the Rise of Renewable Energy 111 References 113 Further Reading 115 4 Industry Dynamics 117 4.1 Defining the Industry 118 4.2 Porter's Five Forces and Industry Dynamics 119 4.2.1 Bargaining Power of Suppliers 120 4.2.2 Bargaining Power of Buyers 121 4.2.3 Substitutes 122 4.2.4 Threat of New Entrants 122 4.2.5 Intensity of Rivalry 123 4.2.6 Strategic Issues Derived from Five Forces Analysis 125 4.3 Integrating Management Science, Analytics, and AI for Strategic Management Practice 130 4.3.1 Revenue Management 130 4.3.2 Evaluating Competitors' Performance in the Market Using Text Mining 133 4.3.3 Managing Five Forces Through AI- enhanced Methods 139 4.4 End of Chapter 141 4.4.1 Revision Questions 141 4.4.2 Case Study: Strategic Evaluation of Entering in a New Market as a Low- cost Airline Using System Dynamics Modeling 142 4.4.2.1 Describing the Key Strategic Aspects of a Business Using a System Dynamics Model 142 4.4.2.2 The easyJet Case 143 References 148 Further Reading 150 5 Industry Evolution 153 5.1 Dynamic Behavioral Model of Industry Evolution 157 5.1.1 Industries as Feedback Systems 158 5.1.2 A Behavioral Model of Organizations 159 5.1.3 Dynamic Behavioral Model of Industry Evolution 161 5.1.4 Types of Dynamic Behavior and Strategic Implications on the Evolution of Industries 163 5.1.5 Industry Evolution: A Regional Socioeconomic Perspective 166 5.1.6 Industries Evolution: A Power Game 168 5.2 Integrating Management Science, Analytics, and AI for Strategic Management Practice 173 5.2.1 Exploring Industry Evolution Using System Dynamics 174 5.2.1.1 Market Development 174 5.2.2 Understanding How the Levels of Integration/Interaction Between Companies Affect the Evolution of Companies Using NKC Models 181 5.2.2.1 Insights from the Model 183 5.2.3 Uncovering the Evolution of Technology in an Industry Using Text Mining Methods 185 5.2.4 Mapping Industry Evolution Using AI 186 5.3 End of Chapter 187 5.3.1 Revision Questions 188 5.3.2 Case Study: How Smartphones and AI Have Shaped the Camera Industry 189 References 192 Further Reading 194 6 Competitive Advantage: Static Analysis 195 6.1 The Direction of a Company: Vision and Mission 196 6.2 Defining Value and Market Segmentation 196 6.3 Mapping the Activities to Deliver Value 200 6.3.1 Value Chain 200 6.3.2 Activity System Map 202 6.3.3 Business Model Canvas 203 6.4 Type of Business Strategies 205 6.4.1 Cost Advantage 205 6.4.2 Differentiation Advantage 206 6.4.2.1 The Management Response 209 6.4.2.2 The Market Response 210 6.4.3 Blue Ocean Strategy 211 6.4.4 Sustainability as a Strategy 212 6.4.5 AI as Strategy 213 6.5 Integrating Management Science, Analytics, and AI for Strategic Management Practice 213 6.5.1 Uncovering Market Segments Using Analytics Tools: Market Basket Transactions Analysis 214 6.5.2 Uncovering Market Segments Using Analytics Tools: Clustering 219 6.5.3 Defining Market Positioning Using AI 220 6.6 End of Chapter 220 6.6.1 Revision Questions 223 6.6.2 Case Study: Revisiting Porter's Generic Strategies Using System Dynamics 224 6.6.2.1 The Model 226 6.6.2.2 Expanding the Model to Consider Sustainability 231 References 233 Further Reading 235 7 Dynamic Resource Management 237 7.1 Resources and Capabilities 238 7.2 Resource Management 240 7.2.1 Resource Conceptualization 241 7.2.2 Resource Development 246 7.2.3 Business Performance 248 7.3 Sustainable Resource Management 249 7.3.1 Sustainability and Stakeholder Management 250 7.4 Integrating Management Science, Analytics, and AI for Strategic Management Practice 252 7.4.1 Boundary Definition: Using Systems Thinking to Facilitate Sustainable Systems 253 7.4.2 Resource Conceptualization Using Resource Mapping (as a Problem Structuring Method) 256 7.4.3 Resource Development Using Resource Mapping, System Dynamics, and Scenarios 259 7.4.4 Resource Development Under Uncertainty Using Decision Trees 263 7.4.5 Developing Decision Trees Using Big Data and AI 269 7.4.6 Inferring Business Performance from Management Science Methods 272 7.4.7 Using AI to Predict and Improve Business Performance 272 7.5 End of Chapter 273 7.5.1 Revision Questions 275 7.5.2 Case Study: Majestic Wines 275 References 278 Further Reading 281 8 Organizational Design 283 8.1 Organizational Components 284 8.1.1 Structure 284 8.1.2 Processes 287 8.1.3 The Soft Side of Organizations: Culture and Values 288 8.1.4 Digital Transformation 294 8.2 Integrating Management Science, Analytics, and AI for Strategic Management Practice 296 8.2.1 Network Analysis for Organizational Structure Design 296 8.2.2 Business Process Modeling 301 8.2.3 Improving Manufacturing Productivity Using Analytics 306 8.2.4 How AI Can Address the Soft Side of Organizations 307 8.3 End of Chapter 308 8.3.1 Revision Questions 309 8.3.2 Case Study: Improving Processes in Health Services Using Simulation and Digital Twin 310 References 315 Further Reading 317 9 Performance Measurement System 319 9.1 Measuring Financial Performance 323 9.2 Strategic Controls 327 9.3 Integrated Reporting 328 9.4 Sustainability Reporting 329 9.5 Integrating Management Science, Analytics, and AI for Strategic Management Practice 331 9.5.1 Causal Models to Design Performance Management Systems 331 9.5.2 Implementing the Performance Management System: Analyzing, Reviewing, and Reporting Performance Data - the Role of Analytics 343 9.5.3 Automating Performance Management Systems Using AI 347 9.6 End of Chapter 347 9.6.1 Revision Questions 348 9.6.2 Case Study: The Impact of Performance Measurement Systems Adoption in Business Performance - the Shipping Industry Case 349 References 354 Further Reading 356 10 Start- ups 359 10.1 The Components of a Business Plan for a Start- up 362 10.1.1 Management 362 10.1.1.1 Entrepreneur 362 10.1.1.2 Team 363 10.1.1.3 Risk Management 363 10.1.1.4 Growth Strategy and Business Idea as a Competitive Advantage of the Business 364 10.1.2 Market 366 10.1.3 Product/Service and Business Processes 368 10.1.4 Organization Design and Resources 370 10.2 Financial Management 373 10.2.1 Critical Assumptions and Scenarios/Cases for Cash Flow Calculations 373 10.2.2 Breakeven Analysis 374 10.2.3 Projected Profit and Loss (Income) Statement 376 10.2.4 Key Performance Indicators 379 10.2.5 Sources and Amount of Funding 380 10.3 Sustainable Entrepreneurship 382 10.4 AI- based Start- ups 384 10.5 Integrating Management Science, Analytics, and AI for Strategic Management Practice 386 10.5.1 Monte Carlo Simulation 386 10.5.2 Using AI to Create a Business Plan 391 10.6 End of Chapter 394 10.6.1 Revision Questions 395 10.6.2 Case Study: Designing the Next Boutique Winery 396 References 400 Further Reading 402 11 Maturity 405 11.1 Strategies for Mature Organizations 408 11.1.1 Concentrated Growth, and Market and Product Development 408 11.1.2 Integration 414 11.1.3 Diversification 416 11.1.4 Associations With Other Companies: Joint Venture, Strategic Alliances, and Consortia 421 11.2 Integrating Management Science, Analytics, and AI for Strategic Management Practice 424 11.2.1 Linear Optimization 426 11.2.2 Extensions in Linear Programming 428 11.2.2.1 Integer Programming 428 11.2.2.2 Nonlinear Programming 429 11.2.2.3 Programming Under Uncertainty 429 11.2.3 Making the Integration of Organizations Reality Through Internet of Things and Analytics 430 11.2.4 Linear Programming Using AI 431 11.2.5 Digitalization, AI, and New Product Development 431 11.3 End of Chapter 433 11.3.1 Revision Questions 434 11.3.2 Case Study: Choosing the Right Set of Capabilities- Development Projects to Achieve Multiple Organization Goals 435 References 443 Further Reading 445 12 Regeneration 447 12.1 Strategies for Regenerating Organizations 450 12.1.1 Innovation 450 12.1.2 Turnaround 455 12.1.3 Ambidextrous Strategies 460 12.1.4 Toward a Fully AI- enabled Organization 462 12.2 Integrating Management Science, Analytics, and AI for Strategic Management Practice 467 12.2.1 New Product Development: The Use of Text Analytics 467 12.2.2 Implementing Turnaround Strategies Using Data Envelopment Analysis: Identifying Operational Units for Either Improving or Pruning 470 12.2.3 Sourcing Change Through AI 474 12.3 End of Chapter 474 12.3.1 Revision Questions 475 12.3.2 Case Study: Managing Strategic Change Successfully: the Role of Benefits Realization Management 476 12.3.3 Case Study: A Success Story of Transformation Using AI 480 References 483 Further Reading 486 Index 489

Principles of Fintech is designed to prepare upper-level undergraduate and postgraduate business and financial management students to innovate with the latest financial technology. It combines real-world examples, critical reflection and applied frameworks for students to understand how to use Fintech creatively and responsibly in their future careers. This textbook: -Introduces the fundamentals of Fintech, including the technology and business models underpinning it -Covers the use of key technologies, such as generative AI and blockchain, as well as the applications of Fintech from digital payment to insurance (InsurTech) and wealth and asset management (WealthTech), &gt;Principles of Fintech bridges the gap between technology, finance and strategy, with real-world examples from both successful and failed Fintech initiatives. This textbook includes key pedagogical features such as learning objectives, chapter summaries and reflective questions to challenge students to apply theory into practical contexts. Additional online resources include lecturer slides, suggested classroom activities, discussion question prompts, and regularly updated real-world examples and further reading.

Financial Technology, Business Models and Strategic Innovation

Principles of Fintech

Test more, assume less. Harvard Business School professor Stefan Thomke reveals why leaders should adopt a scientific mindset--and how experimentation drives smarter decisions in an uncertain world.Every day, leaders face high-stakes decisions about products, customers, strategy, and resource allocation. Yet many of these decisions rely on untested assumptions. Overconfidence, gut instinct, and "what worked before" often substitute for evidence, leaving companies exposed to costly missteps. How can leaders navigate today's uncertainty and complexity to make smarter choices?In The Scientific Mindset: How Thinking Scientifically Drives Better Business Decisions, Harvard Business School professor and innovation expert Stefan Thomke offers a compelling solution: adopt a scientific mindset. Drawing on decades of research and using real-world examples, Thomke shows how challenging assumptions, articulating testable hypotheses, and running disciplined experiments transform decision-making. This concise, practical guide introduces a new leadership model grounded in evidence, not just intuition.Through vivid stories--from famous science experiments to companies such as Amazon and Lego reinventing themselves--Thomke demonstrates how experimentation uncovers hidden truths, mitigates risk, and inspires innovation. Readers will learn how to ask deeper questions, design trustworthy experiments, build cultures that value curiosity over certainty, and develop AI systems that ensure reliability while scaling testing. Along the way, Thomke reveals why intellectual humility and a willingness to be proven wrong are hallmarks of great leadership.Adopting a scientific mindset isn't just smart--it's essential for leading effectively today. Whether you're launching a product, rethinking strategy, or making sense of a rapidly changing world, The Scientific Mindset is your road map for making better decisions.

How Thinking Scientifically Drives Better Business Decisions

The Scientific Mindset

It's Not too Late to Build Toward a Better Future!Rick Caruso has earned a reputation for being a problem solver--somebody who's not afraid of facing big challenges. From his appointment to Water Commissioner and later Police Commissioner in Los Angeles to his bold real estate ventures, Caruso made the decisions he felt were right, even in the face of staunch adversity. In Its Not Too Late, Caruso shares the lessons he learned from his experiences while offering us all a path forward to a better future. At a time when more importance is placed on choosing sides than actually getting things done (let alone done right), Caruso offers refreshing perspective and will teach you how to let go of false divisions, and instead to embrace the search for actual answers and solutions.Togetherness, brotherhood, sisterhood, faith in each other, respect for each other, the ideals preached in almost every faith on Earth are the way forward, no matter how difficult the climb in front of us may seem. And ultimately, the only way we will get back on that path is for each of us to step up, with integrity, in whatever small way we can: for our kids, for our communities, for our country, and for each other.

The Power of Finding Steadfast Solutions

It's Not Too Late

Learn how to increase engagement, brand reach and conversion rates by implementing an evidence-based, inclusive content marketing strategy with strategic AI integration.

Strategies to Make Your Content Intentional, Engaging and Effective

High-Impact Content Marketing

Navigate the MBA research journey with clear methodology, structure and confidence. Research Methods for MBA Students by Emmanuel Mogaji is a concise and practical textbook designed for postgraduate students undertaking business research modules and projects. Recognizing the time pressures and applied focus of MBA and Masters programs, it provides a structured pathway for completing a dissertation or company-based research project within tight deadlines. Mirroring the key stages of the research process, the book guides students through topic selection, refining research questions, conducting a focused literature review and choosing appropriate qualitative or quantitative methods. It then supports effective data collection, rigorous analysis and the presentation of meaningful, actionable findings. A distinctive three-month completion framework provides a clear timeline that aligns with MBA program structures, helping students manage milestones and maintain momentum. Grounded in real-world examples from organizations including AstraZeneca, Bentley Motors, the NHS, Holland and Barrett and Railway Operators, Emmanuel Mogaji connects academic research principles with applied business problem solving. This textbook includes: - Clear learning outcomes aligned to postgraduate research modules - Worked examples demonstrating each stage of the research process - Key concepts and terms to support methodological understanding - Exercise questions and real-world examples with applied tasks &gt;Supported by online lecturer slides and a comprehensive lecturer's manual with exercise answers, Research Methods for MBA Students equips postgraduate learners with the skills and structure needed to deliver credible, practice-oriented research.

Completing Projects and Dissertations

Research Methods for MBA Students

How the rise of AI agents--and other forms of autonomous intelligence--will transform every aspect of how companies create value and compete.Companies have long operated with a basic assumption: intelligence is scarce. Talent is limited, expertise is expensive, and good judgment is hard to scale. But that world is ending.AI agents are bringing a new form of labor into the enterprise--one that can work autonomously, learn continuously, and scale instantly. Their embodied counterparts, from drones to humanoid robots, are doing the same in the physical world. Together, these systems are introducing a new economic reality: cognition is becoming cheap, elastic, and abundant.In Abundant Intelligence, Deloitte's Nitin Mittal and futurist Mike Walsh show what happens when intelligence becomes cheap and widely available. Drawing on inside access to the people leading AI transformations at the world's most powerful companies, they uncover how this shift is challenging every assumption about strategy, productivity, and leadership, and what organizations must do now to stay ahead.As abundance becomes the new normal, the leader's job shifts from collecting intelligence to directing it. Those who learn to harness this expanding workforce of digital labor will unlock new levels of speed, creativity, and advantage. For everyone else, the gap will widen fast.

How Digital Labor Will Rewrite the Rules of Business

Abundant Intelligence

Use this jargon-free, step-by-step guide to create an agile, customer-centric marketing strategy and unlock the full capability of data and analytics with AI.

Leverage Analytics, Data and AI to Optimize Marketing Strategies

Marketing Metrics

Discover how to capitalize on what makes your business-and its products-truly valuable to customers In Pay Back: Turning Customer Value into Lasting Revenue, a team of veteran business strategy thought leaders delivers an innovative, pragmatic approach to value that will transform the way you understand competitive advantage and improve your company's financial performance. The authors explain the customer's journey in evaluating what makes a product or service meaningful and unique in the marketplace. They show you how to navigate and translate that evaluation process into sustained revenue. Pay Back offers a step-by-step guide to a continuous process linking product and service investments with realized customer perceptions of value and, ultimately, the firm's financial results. It combines a practical perspective on customer value with a grounded framework you can implement at your own firm. The book offers: <ul> <li>Proven strategies for creating, positioning, and pricing products and services that are meaningful and unique to customers</li> <li>Insightful illustrations of how today's typical interactions between companies and customers unnecessarily waste value, to the detriment of both parties</li> <li>Pricing and monetization techniques that help leaders focus on profitable ways to capture value from different groups of customers </li> </ul> Perfect for company executives who set product and service strategy, Pay Back is also a must-read guide for seasoned business leaders trying to turn around underperforming product lines, as well as MBA students and anyone else with an interest in practical business strategies that deliver results.

Turning Customer Value Into Lasting Revenue

Pay Back

Learn how to navigate the complex landscape of humanitarian logistics and effectively manage humanitarian supply networks in times of crisis with this leading guide.

Tools and Strategies for Navigating Disasters and Complex Emergencies

Humanitarian Logistics

This book poses an important question for economic sociologists: as expanding specialty coffee markets call for higher-quality coffees produced and transacted in certain ways, why is there not a widespread expectation that the producers who grow these differentiated coffees should receive prices that are commensurate with the economic value they create? Moving past an overly simple economics, Roberts does not accept that problematic specialty coffee pricing is the direct result of ongoing problems with global supply and demand. The real problems are that the people who grow differentiated specialty coffees do not have access to relevant price information and that they have outdated market connections. These numbers and networks problems are exacerbated by a more fundamental problem. Conversations about the value of green specialty coffees remain rooted in an outdated pricing narrative that features global scarcity rather than quality-based differentiation. Roberts outlines a mosaic of promising market interventions that address the numbers and networks problems before explaining why the outdated pricing narrative is so difficult to change. He concludes by offering specific motivations for researchers to explore valuation and pricing in specialty coffee markets. As economists, sociologists, and especially economic sociologists take the coffee industry more seriously, they will turn untrodden research pathways into action-oriented ideas that will transform the global coffee industry by changing how people think and talk about them.

Confronting the Commodification of Specialty Coffee Producers

From Supply and Demand to Numbers, Networks, and Narratives

Develop culturally intelligent marketing strategies for a digitally connected global marketplace. International Marketing is designed for postgraduate marketing students studying International Marketing and International Marketing Strategy. This textbook equips students with the theoretical frameworks and applied tools required to design, implement and evaluate marketing strategies across borders in an increasingly digital and regulated environment. Sue Ollerhead explores how brands can enter, compete and grow internationally while remaining culturally sensitive, legally compliant and strategically coherent. This book integrates core international marketing theory with practical application, covering market entry strategies, dynamic pricing, cross-border brand positioning and digital platform management. Students examine how organizations adapt products and services to meet local market needs while maintaining universal quality standards, sustainability commitments and ethical responsibility. Legal and regulatory considerations are embedded throughout, alongside discussion of environmental impact, societal expectations and global governance frameworks. Real-world examples from Coca-Cola, Depop and MPesa illustrate how international marketing decisions influence long-term brand performance and customer relationships across diverse markets. This textbook includes: - Guidance on digital international marketing, including market entry, pricing and cross-border brand strategy - Chapter overviews, key learning outcomes, key concept boxes and exercise questions - Online resources including lecture slides and a lecturer's manual with exercise answers - Strategic insights and analysis on operating effectively within international environments

Utilize a Digital Approach in International Marketing Strategies

International Marketing

The Long Wait for the (Gen)AI Innovation Renaissance in Banking and What it Will Take to Finally Make it Happen

Are We There Yet?

Strategic Analytics

Autres titres sur ce thème