Knowledge Assets (Boisot, 1998)
Presentación
En este libro fundamental para el campo de la gestión del conocimiento, Max Boisot vuelve sobre el concepto de I-Space -que ya había explicado en obras anteriores, como Information Space (1995)– y desarrolla en detalle su teoría del ciclo de aprendizaje. El autor propone un enfoque informativo para el estudio de los flujos de activos de conocimiento en las organizaciones.
Ficha técnica
Título: Knowledge Assets: Securing Competitive Advantage in the Information Economy.
Autor: Max H. Boisot.
Lugar: Nueva York.
Editorial: Oxford University Press.
Fecha: 1998.
ISBN: 0-19-829607-X.
Páginas: xxii, 284.
Referencia APA: Boisot, M. H. (1998). Knowledge Assets: Seguring Competitive Advantage in the Information Economy. Nueva York: Oxford University Press.
Contenidos
- Introduction (pp. 1-18)
- The Information Perspective (19-40)
- The Information Space (I-Space) (41-69)
- The Paradox of Value (70- 89)
- Neoclassical versus Schumpeterian Orientation to Learning (90-116)
- Culture as a Knowledge Asset (117-151)
- Products, Technologies, and Organization in the Social Learning Cycle (152-179)
- competence and Intent (180-205)
- Information Technology and its Impact (206-229)
- Applying the I-Space (230-253)
- Recapitulation and Conclusion (254-271)
Efective learning requires us to blend complexity reduction -a downward movement in the evolutionary production function- with complexity absorption -an upward and leftward movement along a transformation curve.
Effective learning (is) a process of navigating at the ‘edge of chaos’ between excessive complexity and excessive order.
The value of information goods and the knowledge assets they give rise to is thus intimately related to their capacity to produce order in a world where order is a scarce commodity.
Today we have come to realize that the world is for the most part nonlinear, that microscopic causes can have macroscopic effects, and that change not stability is the natural order of things.
Activos de conocimiento e innovación
El autor plantea que tanto la innovación de las organizaciones como la innovación tecnológica se pueden entender como el resultado de procesos de estructuración del conocimiento:
Our analysis indicates that both organizational and technological innovation must be viewed as emergent phenomena in the evolutionary production function, the fruits of movements across as well as along transformation curves. They can also be thought of as outcomes of a process of structuration through which knowledge assets come into being. 1
