Journal:Tiltai
Volume 96, Issue 1 (2026), pp. 28–40
Abstract
The emergence of artificial intelligence (AI) in contemporary management is transforming production processes, decision-making, and the symbolic frameworks through which managers interpret organisational reality. In Venezuela, this transformation is particularly complex, due to economic crises, institutional fragility, environmental volatility, and the need for rapid managerial decisions amid uncertainty. This article analyses the impact of AI from a postmodernist perspective, based on a survey of Venezuelan managers (N=150) from the industrial, commercial and service sectors, selected through convenience sampling due to infrastructural constraints. The findings show primarily the instrumental adoption of AI, oriented towards decision support and operational optimisation, but they also reveal persistent tensions between human intuition and algorithmic recommendation. Ambivalent perceptions regarding dashboards, Key Performance Indicators (KPIs), and AI’s capacity to faithfully represent organisational reality are identified. From a postmodernist perspective, these results suggest that AI not only automates tasks but also reconfigures the legitimacy of knowledge, managerial subjectivity and power relations within the organisation. The study concludes that the use of AI in Venezuelan management expresses a transition towards hybrid forms of decision-making, where human rationality, algorithmic calculation and adaptation to crisis conditions coexist.
This paper proposes an algorithm for construction of C2 surface. The input is a 3D quadrangular surface which doesn't have adjacent extraordinary points. The difference between this algorithm and the regular C2 forming algorithms is a possibility to choose the natural number of points of the output grid. For example using the Catmull-Clark algorithm the same possibility corresponds exponential natural numbers where the basis is 2. The changing infinite Bezier surfaces generation process to finite calculation of necessary points leads the ability to get more results. The C2 surface generation algorithm was realized and the quality results of output surfaces were performed using reflection lines.