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IS-MiS 2012
http://ismis.usal.es
International Symposium on Management Intelligent Systems
11th -13th July, 2012
Salamanca, Spain.
The copyright data for the ISMiS 2012 is:
- TITLE: Management Intelligent Systems. First International Symposium
- EDITORS: Jorge Casillas, Francisco J. Martínez-López and Juan M. Corchado (Eds.)
- Download pre-filled form for ISMiS'12 main track
The BISITE research group (http://bisite.usal.es) of the University of Salamanca, organiser of ISMiS'12, offers 20 grants/awards to facilitate the attendance to doctoral and young doctors both to the event itself and to the parallel collocated events.
More information: http://ismis.usal.es/?q=node/23
Selected, expanded refereed papers from the symposium would be part of a Special Section of Expert Systems with Applications." JCR 2011 - 1.924

This symposium is thought to be the first international forum to present and discuss original, rigorous and significant contributions on Artificial Intelligence-based (AI) solutions—with a strong, practical logic and preferably with empirical applications—developed to aid the management of the organizations at any of their multiple areas, activities, processes and decisional problems; i.e., what we propose to be named as Management intelligent Systems (MiS).
Basically, the AI core focuses on the development of valuable, automated solutions (mainly by means of intelligent systems) to problems that would require the intervention of intelligence if done by humans. In an organizational context, there are problems to be tackled that require this particular characteristic, which need human judgement and analysis to assess and solve these problems with guarantees of success. These decisional situations frequently relate to strategic issues in organizations, in general, and firms, in particular, where problems are far from being well-structured. Developing and applying ad hoc intelligent systems, due to their particular strengths to process data and provide valuable information either with a data-driven or, especially, with a knowledge-driven approach, might be of interest to managers in their decision-making.
However, in spite of their potentialities to contribute to companies’ strategic intelligence (i.e., business intelligence + competitive intelligence + knowledge management), this research theme has received scarce attention in journals that deal with business and management. A basic search in Scopus (article title, abstract and keywords) reveals that the number of papers published on both business and artificial intelligence/intelligent systems is less than 150. Also, the overall number of published articles in more technical-oriented subjects (e.g., Computer Science, Decision Sciences, or Engineering, among others) treating issues on artificial intelligence/intelligent systems applied to marketing is below 300 (see Scopus).
In essence, the AI discipline offers real opportunities for advancing the analytical methods and systems used by organizations to aid their inside and outside managerial processes and decisions. Indeed, well-conceived and designed intelligent systems are expected to outperform operations research- or statistical-based supporting tools in complex, qualitative and/or difficult-to-program managerial problems and decisional scenarios. However, these opportunities still need to be truly materialized by researchers and practitioners. Therefore, more interdisciplinary and applied contributions are necessary for this promising research stream to really take off.







