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Leveraging information for high level-of- abstraction organizational processes
J.L. Dalmau-Espert, F. Llorens-Largo, P. Compañ-Rosique, R. Satorre-Cuerda, R. Molina-Carmona
Departamento de Ciencia de la Computación e Inteligencia Artificial
Universidad de Alicante
Big Data 2016
Alicante, 3-5 May 2016
Wessex Institute, UK
University Miguel Hernandez, Spain
University of Alicante, Spain
Nowadays, Big Data techniques have made possible to obtain interesting low- level information from large amounts of data. However, the information is often difficult to be enriched enough to aid in high-level organizational processes. The objective of this work is to define a model to allow the use of available information for the design and implementation of high level-of-abstraction processes that take place in the organizations. Particularly, this paper is focused on the Strategic Planning process, one of the most complex and abstract processes in any company. So far there are very few successful attempts to automate this process, which is usually based on manual tasks. At the most, the results from the automatic data analysis are generated and used as reports and are not integrated in the process. A further step is proposed, posing a Strategic Planning model based on a multi-agent system with a blackboard, which is used as a means of communication and storage of the generated information. The information is described using an ontology to formalize both the Strategic Planning process and the information used in each step. The combination of these elements enables the participation, interaction and sharing of information and knowledge of the participants in the process. The accumulated knowledge allows the use of previous experience to automate the process and improve the decision-making. In short, the proposed model is a formal, comprehensive, agile and flexible solution to perform the process of Strategic Planning in organizations today leveraging of the enormous amount of available data and the gathered experience.
An Ontology for Formalizing and Automating the Strategic Planning Process
Juan Luis Dalmau-Espert, Faraón Llorens-Largo and Rafael Molina-Carmona
Group ”Informática Industrial e Inteligencia Artificial”
Universidad de Alicante
The Seventh International Conference on Information, Process, and Knowledge Management. eKNOW 2015
February 22 – 27, 2015 – Lisbon, Portugal
From late 1980s and early twenty-first century, the environment where the organizations develop and act, has become increasingly uncertain and complex. Under these conditions, organizations have detected the need to move towards a more participatory model to address and reduce the complexity, based on information and knowledge as core assets to reduce environmental uncertainty and thereby ensure better decision-making. This new form of governance involves changes in the Strategic Planning (SP) process that are aligned with the characteristics of the new organizational model. Ontologies, as theories of content that allow the formalization of processes and knowledge, are a key element in this context. The aim of this paper is to formally define an ontology that could be defined in the future using the Web Ontology Language (OWL) that meets the standards approved by the World Wide Web Consortium (W3C) and that is used to formalize the process of SP, as well as the knowledge that is created and flows among the several participants in the process.