Theory building is the systematic process of constructing, testing, and refining frameworks to explain phenomena. It moves beyond observation to identify causal relationships, using logic, data, and existing knowledge to forge predictive models. Researchers use it to structure inquiries, while practitioners apply these models to solve real-world problems. Ultimately, academics, data scientists, and strategic leaders benefit from robust theories that guide decision-making and foster innovation.
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