Mohammad Reza Zahedi; Ehsan Vaziri Godarzi
Abstract
The appropriate organizational structural capital is one of the most important issues to emerge innovation in knowledge-based companies. The purpose of this paper is to design and implement a structural capital model in knowledge-based companies. The research is developed based on qualitative and quantitative ...
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The appropriate organizational structural capital is one of the most important issues to emerge innovation in knowledge-based companies. The purpose of this paper is to design and implement a structural capital model in knowledge-based companies. The research is developed based on qualitative and quantitative research methods. Firstly, the paper has used the Grounded Theory method to develop the structural capital model based on the 10 experts' interview data. The experts are related to the organizational structural capital subject. Secondly, the model is applied to a knowledge-based company. Therefore, the re-searcher-made questionnaire is used to assess the status of structural capital in the knowledge-based company. So, the reliability was estimated at 0.94%. This paper presents a model for measuring structural capital in knowledge-based companies. The nature of knowledge-based companies has made it necessary to utilize these organizations' measuring to examine the status of infrastructure, processes, and all elements of structural capital.
Mohammad Saleh Owlia; Kosar Roshani; Mohammad Hossein Abooei
Abstract
In the age of a knowledge-based economy, identifying, measuring, and managing the intellectual capital (IC) of organizations has become very significant. These depend on identifying the main components of intellectual capital and their relationships. So far, however, no study has been conducted to clarify ...
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In the age of a knowledge-based economy, identifying, measuring, and managing the intellectual capital (IC) of organizations has become very significant. These depend on identifying the main components of intellectual capital and their relationships. So far, however, no study has been conducted to clarify the interactions among those components or to develop a model for laying out a hierarchy of IC components. There is, indeed, an urgent need to analyze the behavior of IC components so that the corresponding policies may be successfully implemented. This paper aims to prioritize the IC components based on the identified relationships among the IC components with a focus on the banking industry. A literature review was used to identify the 16 most important IC components. At the first stage, the Interpretive Structural Modeling technique was practiced to determine the interrelationships among these components, based on the data gathered from the Export Development Bank of Iran. The interconnections between the components were clarified. At the second stage, the application of Analytic Network Process for the prioritizing of IC components has been demonstrated. MICMAC analysis and classifying them into four categories including the autonomous, driver, dependent, and linkage components regarding their driving and dependence power is a new effort in the field of IC. A hierarchical structure was proposed through leveling of the components. And finally, the importance and priorities of the components are calculated with the help of the fuzzy analytic network process. The adoption of such an ISM-ANP model of IC components in the banking industry would provide insights for managers, decision-makers and policymakers for a better understanding of these components and to focus on the major components while managing their IC in their organizations.