This book seeks to answer “why, when and how are real options used in strategic technology venturing?” This work tests for the role of real options in decision making involving three types of firms in decreasing order of technology-dependence – technology-driven (TD) (where the profit is fully dependent on new technology creation and leveraging), technology-based (TB) (where the profit is enabled and supported by technology) and technology-neutral (TN) (where the profit is almost independent of technology). It also deals with strategic and non-strategic types of decisions driven by real options. This analysis shows that an environment presenting co-opetitive (simultaneous competition and collaboration) conditions triggers the use of real options (why), that serve to transform the position, posture and propensity of businesses to innovate and thus they co-evolve (when) into more effective and efficient forms of businesses (co-specialization) (how). The authors demonstrate that embracing risk and uncertainty can increase levels and probability of new venture formation. However, their simulation also shows that it should be adapted to the risk profile of the firm and that timing is also a factor to be considered. Although engaging the concepts of real options, this analysis does not focus on a specific investment valuation methodology, but highlights the relationship between knowledge and risk and rather addresses the management of mindsets, as moving towards a systematic conceptualization of real options represents a different paradigm in decision making.

Examines the ways in which real options theory can contribute to strategic management. This volume offers conceptual pieces that trace out pathways for the theory to move forward and presents research on the implications of real options for strategic investment, organization, and firm performance.

The past two decades have seen a gradual but noticeable change in the economic organization of innovative activity. Most firms used to integrate research and development with activities such as production, marketing, and distribution. Today firms are forming joint ventures, research and development alliances, licensing deals, and a variety of other outsourcing arrangements with universities, technology-based start-ups, and other established firms. In many industries, a division of innovative labor is emerging, with a substantial increase in the licensing of existing and prospective technologies. In short, technology and knowledge are becoming definable and tradable commodities. Although researchers have made significant advances in understanding the determinants and consequences of innovation, until recently they have paid little attention to how innovation functions as an economic process. This book examines the nature and workings of markets for intermediate technological inputs. It looks first at how industry structure, the nature of knowledge, and intellectual property rights facilitate the development of technology markets. It then examines the impacts of these markets on firm boundaries, the division of labor within the economy, industry structure, and economic growth. Finally, it examines the implications of this framework for public policy and corporate strategy. Combining theoretical perspectives from economics and management with empirical analysis, the book also draws on historical evidence and case studies to flesh out its research results.

Using real-world examples and clear case studies, the authors provide investors and managers with an innovative method for assessing a company's non-financial assets, allowing them to assess opportunities whose financial rewards are less than certain.

This book seeks to answer “why, when and how are real options used in strategic technology venturing?” This work tests for the role of real options in decision making involving three types of firms in decreasing order of technology-dependence – technology-driven (TD) (where the profit is fully dependent on new technology creation and leveraging), technology-based (TB) (where the profit is enabled and supported by technology) and technology-neutral (TN) (where the profit is almost independent of technology). It also deals with strategic and non-strategic types of decisions driven by real options. This analysis shows that an environment presenting co-opetitive (simultaneous competition and collaboration) conditions triggers the use of real options (why), that serve to transform the position, posture and propensity of businesses to innovate and thus they co-evolve (when) into more effective and efficient forms of businesses (co-specialization) (how). The authors demonstrate that embracing risk and uncertainty can increase levels and probability of new venture formation. However, their simulation also shows that it should be adapted to the risk profile of the firm and that timing is also a factor to be considered. Although engaging the concepts of real options, this analysis does not focus on a specific investment valuation methodology, but highlights the relationship between knowledge and risk and rather addresses the management of mindsets, as moving towards a systematic conceptualization of real options represents a different paradigm in decision making.

Fundraising for venture capital investments have continued to increase in recent years. One crucial step in the investment process is the valuation of the target company. Investors are faced with the great challenge of valuing a young venture without a corporate or financial history, a firm customer relationship or even a business model, while still taking into account the tremendous growth potential. Especially the valuation of technology companies is a difficult and often subjective process. Motivated by these considerations, this dissertation details a design science research project, which aims to develop an artifact that improves the indication of value in early-stage technology venture valuation while enabling operationalizable and fair valuation. This approach ensures a more meaningful valuation and better applicability to early-stage technology ventures compared to traditional methods while supporting the deliberate reduction of information asymmetries between entrepreneurs and investors. Firm-specific characteristics and practical applicability are taken into account.

"Mun demystifies real options analysis and delivers a powerful, pragmatic guide for decision-makers and practitioners alike. Finally, there is a book that equips professionals to easily recognize, value, and seize real options in the world around them." --Jim Schreckengast, Senior VP, R&D Strategy, Gemplus International SA, France Completely revised and updated to meet the challenges of today's dynamic business environment, Real Options Analysis, Second Edition offers you a fresh look at evaluating capital investment strategies by taking the strategic decision-making process into consideration. This comprehensive guide provides both a qualitative and quantitative description of real options; the methods used in solving real options; why and when they are used; and the applicability of these methods in decision making.

Family businesses—the predominant form of business organization around the world—can make numerous, critical contributions to the economy and family well-being in both financial and qualitative terms. But dysfunctional family businesses can be difficult to manage, painful experiences at best, and they can destroy family wealth and personal relationships. This book explores the dynamics of family business management, in the context of constantly changing market conditions and the role that knowledge management plays in strategic planning and adaptation. Integrating the literature from family business, entrepreneurship, industrial psychology, and knowledge management, and with illustrative examples from a variety of enterprises, the authors address such topics as: •How family businesses can compete in the new knowledge economy •How to manage a family business when knowledge is its main asset •How to transfer knowledge (and how to keep it alive) through family generations Within this framework, the authors argue that effective resource management—especially intangible resources—is central to enabling a family-run organization to maintain a sustainable competitive advantage over time. They note that families often develop systemic, intuitive, or tacit knowledge that transcends rational decision making and needs to be recognized and nurtured as a distinctive asset. The authors demonstrate that trans-generational value is achieved when the family firm innovates and adapts itself to changing external and internal conditions. This kind of entrepreneurial performance requires dynamic capabilities and processes designed to acquire, exchange, combine and even shed knowledge and practices; and, in turn, dynamic capabilities result from mechanisms of knowledge sharing, collective learning, experience accumulation, and transfer.

Entrepreneurial Profiles is intended to help students and practitioners of entrepreneurship think about what it takes to create a significant business, with focus on what it may take to create a successful and significant business.

The five digital forces (mobility and pervasive computing, cloud, big data, artificial intelligence and robotics, and social media) are poised to bring great academic and industrial breakthroughs. All stakeholders want to understand how to best harness these forces to their advantage. While literature exists for understanding each force independently, there is a lack of knowledge on how to utilize all the forces together to realize future enterprises. Advanced Digital Architectures for Model-Driven Adaptive Enterprises is an essential reference source that explores the potential in unifying the five digital forces to achieve increased levels of agility, efficiency, and scale. Featuring coverage on a wide range of topics including socio-technical systems, adaptive architectures, and enterprise modeling, this book is ideally designed for managers, executives, programmers, designers, computer engineers, entrepreneurs, tool builders, digital practitioners, researchers, academicians, ands students at the graduate level.