Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic programming (videotape): the movie
Genetic programming (videotape): the movie
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Managing Industrial Knowledge: Creation, Transfer and Utilization
Managing Industrial Knowledge: Creation, Transfer and Utilization
Wellsprings of Knowledge: Building and Sustaining the Sources of Innovation
Wellsprings of Knowledge: Building and Sustaining the Sources of Innovation
Post-Capitalist Society
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Knowledge Emergence: Social, Technical, and Evolutionary Dimensions of Knowledge Creation
Knowledge Emergence: Social, Technical, and Evolutionary Dimensions of Knowledge Creation
Model for organizational knowledge creation and strategic use of information: Research Articles
Journal of the American Society for Information Science and Technology
Measuring enterprise IT capability: A total IT capability perspective
Knowledge-Based Systems
Knowledge sharing in dynamic virtual enterprises: A socio-technological perspective
Knowledge-Based Systems
Complex organizational knowledge structures for new product development teams
Knowledge-Based Systems
Modeling the knowledge-flow view for collaborative knowledge support
Knowledge-Based Systems
| Hi-index | 0.00 |
Since knowledge and its strategic applications have now become a major source of competitive advantage for organizations, the lifeblood of organizations is to possess the capabilities for acquiring, creating, sharing, diffusing, utilizing, and storing knowledge among organizational members. Among the capabilities, knowledge creation is the major resource of organizational innovation and it, therefore, plays a more crucial role in developing a sustained competitive advantage for organizations, especially in a dynamic environment. Although numerous papers have studied the issue of knowledge creation, those papers focused on conceptualizing the process of knowledge creation and did not investigate the concrete problem of knowledge creation. In the current paper, a mathematical representation of knowledge creation based on an evolutionary perspective is used to understand: (1) if knowledge can be created; (2) how knowledge is created; (3) under what conditions knowledge can be created; (4) the partial effects of variables which affect the process of knowledge creation.