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Developing a Measure of Intellectual Capital fit: an Approach to Improve Business Processes
2016-04-13, Arru, Matteo
Accounting standards acknowledge the importance of Intangible Assets in evaluating a Company Value. In this period of turbulent markets, the capacity of a company to resist is strictly connected to its ability to leverage and develop its Intellectual Capital. This article makes a point in the literature about Intangible assets as a strategic asset for companies' development. We will show how the adoption of proper Knowledge Management practices can help the exploitation of the intangible asset as a key competitive factor. Intellectual capital is an asset difficult to measure. However, the intellectual capital is relevant when producing value for an organization. The approach that we have developed at Corvinus University, and we are testing in different business contexts is promising to provide an indication of the real fit of competencies between individuals and the required knowledge necessary to run an organization.
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Application of Process Ontology to improve the funding allocation process at the European Institute of Innovation and Technology
2014-09-03, Arru, Matteo
This studio explains the application through the application of the ProKEx architecture is used to improve the process of allocation of funding at the European Institute of Innovation and Technology (EIT). The mission of the EIT is to grow and capitalize on the innovation capacity and capability of actors from higher education, research, business and entrepreneurship from the EU and beyond through the creation of highly integrated Knowledge and Innovation Communities (KICs). This case offers the scenario of a complex application where a fragmented process with several actors is dealing with the different domains of knowledge of each KIC. Starting from the Business Process Model, applying text-mining techniques we extract the ontology elements from the activity description and converted into an Ontology of the process domain. By the critical analysis of the information contained in the model, we gain the relevant information to improve the current approach.