Catálogo de publicaciones - libros
Making Growth Work: How Companies Can Expand and Become More Efficient
Burkhard Schwenker Stefan Bötzel
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
Business Strategy/Leadership; Organization
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | 2007 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-540-46486-0
ISBN electrónico
978-3-540-46490-7
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2007
Información sobre derechos de publicación
© Springer-Verlag Berlin Heidelberg 2007
Cobertura temática
Tabla de contenidos
Introduction
Burkhard Schwenker; Stefan Bötzel
As technology development or application evolves over time and the impact on the decision maker’s values takes place in the future, the technology portfolio planning and management process is fraught with uncertainty. In Chapter 6, we have used an aggregated expected value of the uncertain outcomes as a deterministic equivalent for the relationships between alternatives and values in the process. However, the deterministic equivalent is in many situations too aggregated for proper analysis, and the uncertainty effects need to be considered in greater detail. In this chapter, we will present major methods that will assist the decision maker in finding the best technology portfolio by explicitly analyzing the effects of uncertainty.
- Introduction | Pp. 1-7
Growth and Continuous Optimization — The Formulas for Sustainable Corporate Growth
Burkhard Schwenker; Stefan Bötzel
As technology development or application evolves over time and the impact on the decision maker’s values takes place in the future, the technology portfolio planning and management process is fraught with uncertainty. In Chapter 6, we have used an aggregated expected value of the uncertain outcomes as a deterministic equivalent for the relationships between alternatives and values in the process. However, the deterministic equivalent is in many situations too aggregated for proper analysis, and the uncertainty effects need to be considered in greater detail. In this chapter, we will present major methods that will assist the decision maker in finding the best technology portfolio by explicitly analyzing the effects of uncertainty.
- The End of the V Curve | Pp. 11-35
Overcoming the Limits to Growth — Exploiting Economies of Scale and Scope
Burkhard Schwenker; Stefan Bötzel
As technology development or application evolves over time and the impact on the decision maker’s values takes place in the future, the technology portfolio planning and management process is fraught with uncertainty. In Chapter 6, we have used an aggregated expected value of the uncertain outcomes as a deterministic equivalent for the relationships between alternatives and values in the process. However, the deterministic equivalent is in many situations too aggregated for proper analysis, and the uncertainty effects need to be considered in greater detail. In this chapter, we will present major methods that will assist the decision maker in finding the best technology portfolio by explicitly analyzing the effects of uncertainty.
- The End of the V Curve | Pp. 37-57
Decentralization — The Structural Basis for Profitable Growth
Burkhard Schwenker; Stefan Bötzel
As technology development or application evolves over time and the impact on the decision maker’s values takes place in the future, the technology portfolio planning and management process is fraught with uncertainty. In Chapter 6, we have used an aggregated expected value of the uncertain outcomes as a deterministic equivalent for the relationships between alternatives and values in the process. However, the deterministic equivalent is in many situations too aggregated for proper analysis, and the uncertainty effects need to be considered in greater detail. In this chapter, we will present major methods that will assist the decision maker in finding the best technology portfolio by explicitly analyzing the effects of uncertainty.
- The Decentralized, Trust-Based Organization | Pp. 61-70
The Trust-Based Organization — A New Management Model for Greater Growth and Efficiency
Burkhard Schwenker; Stefan Bötzel
As technology development or application evolves over time and the impact on the decision maker’s values takes place in the future, the technology portfolio planning and management process is fraught with uncertainty. In Chapter 6, we have used an aggregated expected value of the uncertain outcomes as a deterministic equivalent for the relationships between alternatives and values in the process. However, the deterministic equivalent is in many situations too aggregated for proper analysis, and the uncertainty effects need to be considered in greater detail. In this chapter, we will present major methods that will assist the decision maker in finding the best technology portfolio by explicitly analyzing the effects of uncertainty.
- The Decentralized, Trust-Based Organization | Pp. 71-86
Innovation — The Engine of Growth
Burkhard Schwenker; Stefan Bötzel
As technology development or application evolves over time and the impact on the decision maker’s values takes place in the future, the technology portfolio planning and management process is fraught with uncertainty. In Chapter 6, we have used an aggregated expected value of the uncertain outcomes as a deterministic equivalent for the relationships between alternatives and values in the process. However, the deterministic equivalent is in many situations too aggregated for proper analysis, and the uncertainty effects need to be considered in greater detail. In this chapter, we will present major methods that will assist the decision maker in finding the best technology portfolio by explicitly analyzing the effects of uncertainty.
- Achieving the Willingness to Grow | Pp. 89-103
Identifying Cash Potential and Investing in Growth
Burkhard Schwenker; Stefan Bötzel
As technology development or application evolves over time and the impact on the decision maker’s values takes place in the future, the technology portfolio planning and management process is fraught with uncertainty. In Chapter 6, we have used an aggregated expected value of the uncertain outcomes as a deterministic equivalent for the relationships between alternatives and values in the process. However, the deterministic equivalent is in many situations too aggregated for proper analysis, and the uncertainty effects need to be considered in greater detail. In this chapter, we will present major methods that will assist the decision maker in finding the best technology portfolio by explicitly analyzing the effects of uncertainty.
- Achieving the Willingness to Grow | Pp. 105-113
Transforming for Growth — The Mobilizing Power of Change Management
Burkhard Schwenker; Stefan Bötzel
As technology development or application evolves over time and the impact on the decision maker’s values takes place in the future, the technology portfolio planning and management process is fraught with uncertainty. In Chapter 6, we have used an aggregated expected value of the uncertain outcomes as a deterministic equivalent for the relationships between alternatives and values in the process. However, the deterministic equivalent is in many situations too aggregated for proper analysis, and the uncertainty effects need to be considered in greater detail. In this chapter, we will present major methods that will assist the decision maker in finding the best technology portfolio by explicitly analyzing the effects of uncertainty.
- Achieving the Willingness to Grow | Pp. 115-128
The Macroeconomic Perspective
Burkhard Schwenker; Stefan Bötzel
As technology development or application evolves over time and the impact on the decision maker’s values takes place in the future, the technology portfolio planning and management process is fraught with uncertainty. In Chapter 6, we have used an aggregated expected value of the uncertain outcomes as a deterministic equivalent for the relationships between alternatives and values in the process. However, the deterministic equivalent is in many situations too aggregated for proper analysis, and the uncertainty effects need to be considered in greater detail. In this chapter, we will present major methods that will assist the decision maker in finding the best technology portfolio by explicitly analyzing the effects of uncertainty.
- The Macroeconomic Perspective | Pp. 129-136
Epilogue
Burkhard Schwenker; Stefan Bötzel
As technology development or application evolves over time and the impact on the decision maker’s values takes place in the future, the technology portfolio planning and management process is fraught with uncertainty. In Chapter 6, we have used an aggregated expected value of the uncertain outcomes as a deterministic equivalent for the relationships between alternatives and values in the process. However, the deterministic equivalent is in many situations too aggregated for proper analysis, and the uncertainty effects need to be considered in greater detail. In this chapter, we will present major methods that will assist the decision maker in finding the best technology portfolio by explicitly analyzing the effects of uncertainty.
- Epilogue | Pp. 137-138