scenario simulation

This study examines the impact of using quantum intelligence in simulating futures scenarios in strategic management. Given the complexity and uncertainties in business environments, simulation models that leverage quantum intelligence can help managers predict possible futures and make more efficient strategic decisions. The research data was collected from semi-structured interviews with experts in the fields of quantum intelligence and strategic management. The research results show that the use of quantum intelligence algorithms allows organizations to simulate different future scenarios with greater accuracy and design more effective strategies. Also, this research identifies the challenges and opportunities of using this technology in strategic decision-making and provides models for improving the scenario simulation processes.

This study examines the application of quantum intelligence in simulating futures scenarios and its impact on strategic decision-making. In this regard, a combination of qualitative and quantitative methods has been used to analyze complex data. Quantum intelligence algorithms with the ability to process in parallel and solve complex problems help create more accurate models in predicting future scenarios. The results of the study show that the use of quantum intelligence can provide effective tools for strategic managers to more accurately predict and simulate different futures. Simulation of scenarios based on quantum intelligence can improve strategic decision-making in the face of complexity and uncertainty. Overall, this research showed that quantum intelligence could revolutionize the way strategic scenarios are analyzed and predicted.

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.