The activity table as an agent-based modeling approach for optimizing patent exploitation processes

Modic, Dolores and Damij, Nadja (2017) The activity table as an agent-based modeling approach for optimizing patent exploitation processes. WSEAS Transactions on Business and Economics, 14. pp. 458-470. ISSN 1109-9526

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The focal idea of the paper is to model the Activity table in order to increase the efficiency of the intellectual property management. The modeling is done by looking into activities of individual agents (resources or entities). The article examines - in light of the review of related research literature - how the Activity table technique can be used when focusing on IP processes, especially in smaller companies. This technique may be a useful, comprehensive, holistic, but still relatively simple way for intellectual property protection processes’ improvement; allowing to find bottle-necks and ways to avoid them as well as to include a systematic element into processes usually riddled by informality and uncertainty. We highlight the steps and considerations needed to use the Activity table in the exploitation phase and especially on facilitating patent transfers. The article provides two concrete examples, showcasing the use of the Activity table.

Item Type: Article
Additional Information: Funding information: This research has been financed by Creative Core FISNM-3330-13-500033 ‘Simulations’ project funded by the European Union, The European Regional Development Fund. The operation is carried out within the framework of the Operational Program for Strengthening Regional Development Potentials for the period 2007–2013, Development Priority 1: Competitiveness and research excellence, Priority Guideline 1.1: Improving the competitive skills and research excellence.
Uncontrolled Keywords: Activity table, Intellectual property processes, Patent transfers, Process modeling, SMEs
Subjects: L100 Economics
N100 Business studies
Depositing User: Elena Carlaw
Date Deposited: 13 May 2021 11:22
Last Modified: 31 Jul 2021 16:15

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