Building a strategic decision-making system based on data integration and digital rules

the main objective of this article is to conduct an in-depth study of ways and methods for organically combining data-driven decision theory and the basic principles of the digital economy (such as data elementisation, network effects, platformisation, flexibility, and ecological synergy). Through this integration, we aim to create a more scientific, rigorous, and systematic framework for strategic decision-making. This framework is designed to go beyond traditional empirical decision-making and fully leverage the vast data resources, real-time feedback mechanisms and the advantages of interconnectedness characteristic of the digital economy era, in order to provide a solid theoretical foundation and practical paradigm for strategy development in complex and dynamic business environments. To achieve this goal, this study focuses on the deep integration of multidisciplinary knowledge, incorporating theoretical insights and practical tools from diverse fields such as management science, computer science, systems science, behavioural economics, and even complexity science into the decision-making model-building process. In addition, we systematically employ advanced quantitative modelling technologies, including, among others, big data analysis, machine learning algorithms, simulation modelling, operations optimisation, and dynamic systems modelling. The application of these technologies allows us to transform abstract strategic elements, complex market dynamics, and potential behaviour patterns into quantitative, analysable, and predictable variables, which significantly enhances the scientific rigour of the decision-making process (Enhancing Scientific Rigor),improving predictive accuracy and, ultimately, boosting the effectiveness and adaptability of strategic decisions, enabling organisations to make more informed and forward-looking strategic decisions.

Data-Driven Decision Theory (DDT), digital economy, strategic system, Decision-Making Theory in Management (DTIM), decision-making, data structure