Enhancing Operational Performance: The Role of Entrepreneurial Orientation, Big Data Analytics, and AI Under Environmental Dynamis

Objective: This study investigates the relationships between Entrepreneurial Orientation (EO), BDA-AI adoption, Operational Performance (OP), and the moderating role of Environmental Dynamics (ED). The study aims at exploring the impact of strategic orientation and advanced technologies on organizational capabilities in the uncertain contexts.Methods: We employed a quantitative analysis using Structural Equation Modeling (SEM) with Warp PLS to test the hypothesized relationships. The measurement model was then checked for reliability and validity and fit indices were calculated to ascertain robustness. Because this was a multi-year initiative, data were collected over time and included a number of metrics associated with operational improvement and technology adoption.Results: The result showed a significant and positive association of EO, BDA-AI adoption, and OP. These relationships were greatly strengthened by ED, highlighting ED as an engine of organizational adaptability and performance in both dynamic contexts and organizations. The proposed structural model was able to explain quite a lot of the variance in the data and fit her extremely well according to the model fit indices.Novelty: Therefore, this study proposed ED as a crucial mediating variable to help unite the excess between the strategic education and innovative performance. It offers a unique lens through which to view the ways in which firms use EO and advanced analytics to maintain competitive advantage under conditions of environmental turbulence.Implications for Research: The study provides a conceptual basis for future empirical research on the strategic coupling of EO and BDA-AI in sectors. It opens up avenues for consideration of environmental and organizational influences that enable or inhibit the performance-induced benefits of technology innovations