The Spring 1403 issue of this journal presents a collection of in-depth and practical research in the fields of intelligent management, advanced marketing, and data analytics. These studies address the increasing demand among organizations and managers for innovative methods and models in decision-making, product development, and strategy formulation within complex economic and technological environments. This issue features six key articles: (1) Designing an Agent-Based Modeling (ABM) and Interpretive Structural Modeling (ISM) framework to analyze consumer preferences using the ten-step Zaltman Metaphor Elicitation Technique (ZMET) in brand selection (Hakupian), (2) Organizational innovation modeling based on artificial intelligence and deep learning as a pathway to creating and enhancing sustainable competitive advantage, (3) Designing a quantum decision-making model in strategic management to cope with organizational uncertainties, (4) Developing a model to predict organizational performance based on Big Data analytics and strategic intelligence, (5) Presenting an applied model for simulating strategic scenarios in complex environments with an emphasis on the oil and gas industry, and (6) Designing a strategic model for the development of small and medium-sized enterprises (SMEs) with an emphasis on digital ecosystems. Each article employs a comprehensive and analytical approach to examine tools, methods, and solutions that can be beneficial for researchers, managers, and decision-makers across various organizational levels. The findings underscore the critical importance of adopting innovative modeling, data analysis, and strategic management approaches to achieve sustainable and competitive growth in today’s world.