Adaptation on rugged landscapes
Management Science
Evolution of Organizational Performance and Stability in a Stochastic Environment
Computational & Mathematical Organization Theory
Mathematical Models for Studying the Value of Cooperational Leadership in Team Replacement
Computational & Mathematical Organization Theory
Imitation of Complex Strategies
Management Science
Organizational learning culture, innovative culture and innovations in South Korean firms
Expert Systems with Applications: An International Journal
Aligning intangible assets to innovation in biopharmaceutical industry
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
Innovation is the driving force for value creation and future survival of an organization. This paper proposes a study of organizational innovation performance with an intellectual capital-based view using complexity theory. It presents the methodologies and model for the study integrating survey study, structural equation modeling and an extended NK model. The constraints of NK model applying in management studies are also addressed. The model is developed based on the NK model, with extensions to allow non-binary alleles, non-integer degree of complexity and weighted contribution of different intellectual capital (IC) components to the fitness value of innovation performance. The weighted and informed NK model simulates an organization's search for better innovation performance with the consideration of the current IC status of the organization, and the unique complexity and interdependency among the IC components. The methodologies and the simulation model have been applied on a R&D group in the information and communication technology industry with results that demonstrated the descriptive and predictive power of the model.