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.
In technical photography, there are cases with requirement to keep full similarity among the object and its reflection. Due to the aberration of optical systems used in photography tools, unambiguous and precise application of projecting geometry rules becomes impossible. The problem remains in digital photography with traditional optical devices and image processing with software tools is complicated due to the both insensitivity of image matrixes and the lack of suitable correction algorithms. The study has shown that the best results can be obtained by using stenocamera and sensitive photographic film. New digital image retrieval method, obtained by combining classical stenocamera tool with digital web camera matrix is described in this paper.