Publication details
Wissensmanagement im ÖBH: [META-] Heuristiken für Knowledge Monitoring (Wissenslogistik als kontinuierlicher Steuerprozess zur Generierung von Entscheidungen)
| Title in English | Knowledge Management at the Austrian Armed Forces: [Meta-] Heuristics for Knowledge Monitoring |
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| Authors | |
| Year of publication | 2016 |
| MU Faculty or unit | |
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| Description | Viewed scientifically, philosophically and logically, special information systems, for example documentation approaches to preselected and specialized categories, cannot usually be refined by technology, no matter how sophisticated, sufficiently to replace – or even displace – the corrective expertise or knowledge of experienced decision-makers, managers and users in general. This holds true for both administrative business and the organizational operations that exemplify military regulations and those special military cases in which clear-cut guidelines are essential. Successful and adaptive decision-makers must still be expected to fall back upon intrinsic talent and accumulated extra knowledge, i.e. personal expertise and experience, to enable crucial corrections when and where necessary. The LIR approach, addressing the relations between language, information/knowledge and reality, developed as a model-theoretic systemic framework, may be of the great practical value here. It helps introduce, evaluate and integrate scientific and other experiences, together with research results, that broaden real epistemic and ideological horizons. Further, LIR serves to judge and evaluate arguments in the course of selecting measures to be taken and means to be applied when considering systematic and model-creating assumptions that are later to become concretely decision-relevant. The scheme is built around a combination of techniques, causal and logical as well as explanatory and operative/descriptive. The results arising out of LIR are by no means to be understood as a critique of the Knowledge Performance Monitoring System used by the Austrian armed forces but, on the contrary, as support for, and critical reflection upon, means of optimizing its basic performance. In particular, this approach may help reinterpret and bring fresh vision to the limits of suggested applications and to the prevention of algorithmic misapplications, i.e. sharpen delimitation of technique envelopes, heuristics and rules, thus enhancing the necessary potential for correction and enabling innovation, creativity and secure reaction to the rapidly accelerating pace of change. It casts new light upon the realms of reference and the frontiers of applicability of our theories. And nothing is more reassuring and pertinent to success than confidence in the robustness and reliability of our theories. |