PROTOTYPE OF AN SPECIALIST SYSTEM TO CLASSIFY THE LEVEL OF COMPETITIVENESS OF A MICROSERVICE COMPANY
DOI:
https://doi.org/10.5281/zenodo.5228292Keywords:
Artificial Intelligence. Expert Systems Resource-Based Vision (RBV). Strategic Management. Microenterprise.Abstract
The article manages with the development of a prototype of an expert system to classify the level of competitiveness of a service microenterprise and explores concepts and applications of Artificial Intelligence (AI) and Expert Systems (ES), to assist the field of Administration in the evaluation of microenterprise management in light of the application of the Resource-Based Vision (RBV) theory, which explains the microenterprise's competitive advantage, based on its distinctive resources and competences, with the aim of creating a base of knowledge to be submitted to the expert system (ES) of competence assessment developed and, therefore, to achieve the desired results according to the VRIO methodology of Barney and Hesterly (2007). The research was carried out in a microenterprise in the Federal District (DF), based on the aforementioned methodology, which analyzes the microenterprise's competitive differential according to the premises of value, rarity, difficulty to be imitated and organizationally irreplaceable
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References
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