Leveraging Organizational Ambidexterity for Sustained Growth in Agri-Food Born Global Firms: A Strategic Foresight Approach

Abstract

This study advances Strategic Foresight research by developing and applying a hybrid framework to delineate optimal scenarios that balance exploratory and exploitative strategies, fostering sustainable growth in agri-food Born Global Firms navigating post-internationalization complexity and heightened environmental uncertainty. The framework combines grounded qualitative analysis through inductive methods with advanced quantitative and structural techniques, including Fuzzy-MICMAC for mapping interdependencies, Dynamic Causal Loop Diagrams to quantify feedback dynamics, and morphological analysis complemented by hierarchical clustering. Building on recent participatory and computational foresight innovations, this integrative methodology contributes to the diversification of anticipation methods by enabling the systematic quantification of systemic interdependencies and the exploration of multi-dimensional uncertainties in a computationally rigorous yet context-sensitive manner. The resulting scenarios provide actionable strategic roadmaps for BGFs, emphasizing export-oriented alliances, innovation-driven technological exploration, and adherence to international quality standards. These insights support managers and policymakers in designing adaptive strategies that enhance Organizational Ambidexterity and strengthen competitive positioning in volatile global markets.