Using Systemic and Praxeological Approaches for Modeling Social Impact Assessment of Research
DOI:
https://doi.org/10.34190/ecrm.24.1.3685Keywords:
systems approach, praxeology, system of action, model of the assessment system, social impact of scientific researchAbstract
By assessing the impact of scientific research, it is possible to track the effects of previously undertaken research initiatives, adapt subsequent ones to current social needs, and strengthen public trust. Assessment results influence decisions regarding selecting and modifying research financing strategies, creating innovation policies to ensure significant benefits for local and regional communities, and sometimes even of global significance. In the process of building models of this type of assessment, the concept of an action system and praxeological analysis can be used, which is one of the methods of goal-oriented explanation. This paper aims to demonstrate how the systems approach and praxeology can be applied to model the social impact assessment of scientific research. By using these approaches, the key elements of the action system and their interrelationships were identified. This enabled the development of a general model for the assessment system, which can be further refined based on the specific characteristics of information and decision-making processes. This model lays the foundation for a new methodological direction in evaluating the impact of scientific research. System analysis provides opportunities for a rational way of solving complex and interdisciplinary problems related to socio-economic and technical systems. The obtained research results confirm that combining systemic and praxeological approaches is useful for interdisciplinary modeling and improving goal-oriented systems. Such approaches enable a good understanding and structuring of the evaluation problem and reflect its complexity and multi-aspect nature. The universality of the proposed solutions creates the possibility of continuing research on expanding the scope of classical praxeological and systemic considerations towards applications of computer systems supported by artificial intelligence algorithms.
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