Many-one reduction is a computational technique used to transform one decision problem into another, ensuring that a solution to the transformed problem can be directly converted into a solution for the original problem. This method is crucial for proving problem hardness, particularly in complexity theory, where it is used to demonstrate that a problem is at least as hard as another problem already known to be difficult.