A look at business model innovation's crucial role in today's global business environment. Showing organizations how business model innovation should be a key focus area in today's global economy, this book features cases from businesses around the globe that have developed customized business models and achieved spectacular levels of performance. Case examples from well-known innovation leaders IKEA, Apple, Tata, SHARP, Saudi Aramco, De Beers, Telefonica, Valero Energy, LEGO, and Proctor & Gamble Shows businesses how to get beyond traditional business models to take better advantage of emerging opportunities Coauthored by former CEO of SAP AG, the world's largest provider of enterprise software Filled with interviews with key executives, this book reveals the role of technology in driving and enabling changes to fundamental facets of a business. Companies around the world are innovating their business models with tremendous results. IT-Driven Business Models shows interested organizations how they can start the process.

Today the fastest growing companies have no physical assets. Instead, they create innovative digital products and new data-driven business models. They capture huge market share fast and their capitalizations skyrocket. The success of these digital giants is pushing all companies to rethink their business models and to start digitizing their products and services. Whether you are a new start-up building a digital product or service, or an employee of an established company that is transitioning to digital, you need to consider how digitization has transformed every aspect of management. Data-driven business models scale not through asset accumulation and product standardization, but through disaggregation of supply and demand. The winners in the new economy master the demand for one and the supply to millions. Throughout the book the author illustrates with examples and use cases how the market competition has changed and how companies adept to the new rules of the game. The economic levers of scale and scope are also different in the digital economy and companies have to learn new tactics how to achieve and sustain their competitive advantage. While data is at the core of all digital business models, the monetization strategies vary across products, services and business models. Our Monetization Matrix is a model that helps managers, marketers, sales professionals, and technical product designers to align the digital product design with the data-driven business model.

How to outsmart risk Risk has been defined as the potential for losing something of value. In business, that value could be your original investment or your expected future returns. The Risk-Driven Business Model will help you manage risk better by showing how the key choices you make in designing your business models either increase or reduce two characteristic types of risk—information risk, when you make decisions without enough information, and incentive-alignment risk, when decision makers’ incentives are at odds with the broader goals of the company. Leaders who understand how the structure of their business model affects risk have the power to create wealth, revolutionize industries, and shape a better world. INSEAD’s Karan Girotra and Serguei Netessine, noted operations and innovation professors who have consulted with dozens of companies, walk you through a business model audit to determine what key decisions get made in a business, when they get made, who makes them, and why we make the decisions we do. By changing your company’s key decisions within this framework, you can fundamentally alter the risks that will impact your business. This book is for entrepreneurs and executives in companies involved in dynamic industries where the locus of risk is shifting, and includes lessons from Zipcar, Blockbuster, Apple, Benetton, Kickstarter, Walmart, and dozens of other global companies. The Risk-Driven Business Model demystifies business model risk, with clear directives aimed at improving decision making and driving your business forward.

In a world of contracting markets and diminished consumer demand, The Cambridge Group founder Rick Kash and Nielsen Company CEO David Calhoun show companies how to find new customers and bigger profits. How Companies Win makes The Cambridge Group’s proprietary demand model—a strategy which multi-million dollar corporations pay premium rates to access—available to the general public for the first time. Taking the reigns from Larry Bossidy’s Execution, W. Chan Kim and Renée Mauborgne’s Blue Ocean Strategy, and Kash’s own The New Law of Demand and Supply, this is a must-have for succeeding in business in the twenty-first century.

Digital transformation is not about technology--it's about change. In the rapidly changing digital economy, you can't succeed by merely tweaking management practices that led to past success. And yet, while many leaders and managers recognize the threat from digital--and the potential opportunity--they lack a common language and compelling framework to help them assess it and guide them in responding. They don't know how to think about their digital business model. In this concise, practical book, MIT digital research leaders Peter Weill and Stephanie Woerner provide a powerful yet straightforward framework that has been field-tested globally with dozens of senior management teams. Based on years of study at the MIT Center for Information Systems Research (CISR), the authors find that digitization is moving companies' business models on two dimensions: from value chains to digital ecosystems, and from a fuzzy understanding of the needs of end customers to a sharper one. Looking at these dimensions in combination results in four distinct business models, each with different capabilities. The book then sets out six driving questions, in separate chapters, that help managers and executives clarify where they are currently in an increasingly digital business landscape and highlight what's needed to move toward a higher-value digital business model. Filled with straightforward self-assessments, motivating examples, and sharp financial analyses of where profits are made, this smart book will help you tackle the threats, leverage the opportunities, and create winning digital strategies.

Demand-Driven Business Strategy explains the ways of transforming business models from supply driven to demand driven through digital technologies and big data analytics. The book covers important topics such as digital leadership, the role of artificial intelligence, and platform firms and their role in business model transformation. Students are walked through the nature of supply- and demand-driven models and how organizations transform from one to the other. Theoretical insights are combined with real-world application through global case studies and examples from Amazon, Google, Uber, Volvo and Picnic. Chapter objectives and summaries provide consistent structure and aid learning, whilst reflective questions encourage further thought and discussion. Comprehensive and practical, this is an essential text for advanced undergraduate and postgraduate students studying strategic management, marketing, business innovation, consumer behavior, digital transformation and entrepreneurship.

Business model innovation is an important source of competitive advantage and corporate renewal. An increasing number of companies have to innovate their business models, not just because of competitive forces but also because of the ongoing change from product-based to service-based business models. Yet, business model innovation also involves organizational change process that challenges existing processes, structures and modes of control. This volume features thirteen chapters written by authorities on business model innovation. The specific angle, and the novel feature of this book, is to thoroughly examine the organizational dimension of business model innovation. Drawing on organizational theory and empirical observation, the contributors specifically highlight organizational design aspects of business model innovation, focusing on how reward systems, power distributions, routines and standard operating procedures, the allocation of authority, and other aspects of organizational structure and control should be designed to support the business model the firm chooses. Also discussed is how existing organizational structures, capabilities, beliefs, cultures and so on influence the firm's ability to flexibly change to new business models.

This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.

Pivot your organization toward a more scalable and profitable business model. Digital networks are changing all the rules of business. New, scalable, digitally networked business models, like those of Amazon, Google, Uber, and Airbnb, are affecting growth, scale, and profit potential for companies in every industry. But this seismic shift isn’t unique to digital start-ups and tech superstars. Digital transformation is affecting every business sector, and as investor capital, top talent, and customers shift toward network-centric organizations, the performance gap between early and late adopters is widening. So the question isn’t whether your organization needs to change, but when and how much. The Network Imperative is a call to action for managers and executives to embrace network-based business models. The benefits are indisputable: companies that leverage digital platforms to co-create and share value with networks of employees, customers, and suppliers are fast outpacing the market. These companies, or network orchestrators, grow faster, scale with lower marginal cost, and generate the highest revenue multipliers. Supported by research that covers fifteen hundred companies, authors Barry Libert, Megan Beck, and Jerry Wind guide leaders and investors through the ten principles that all organizations can use to grow and profit regardless of their industry. They also share a five-step process for pivoting an organization toward a more scalable and profitable business model. The Network Imperative, brimming with compelling case studies and actionable advice, provides managers with what they really need: new tools and frameworks to generate unprecedented value in a rapidly changing age.