Which decision-making style might struggle with large amounts of data or complexity?

The directive decision-making style is often characterized by a highly structured approach, where decision-makers prefer simplicity and clarity. This style typically involves setting clear rules and guidelines to arrive at quick conclusions. While effective in straightforward situations, it can struggle significantly in environments filled with large amounts of data or complex information, as the emphasis on decisiveness may overshadow the need for comprehensive analysis.

In contrast, the analytic style is designed to handle data-driven tasks, as it focuses on thorough analysis and evaluation of information before making a decision. The conceptual style thrives on creativity and broader perspectives, allowing for innovative solutions even in complex scenarios. The behavioral style emphasizes collaboration and the people aspect of decision-making, which can also be beneficial in complex environments requiring input from various stakeholders.

Thus, the directive style's inclination towards fast, straightforward conclusions can lead to challenges when faced with nuanced situations that demand deeper analysis and engagement with more intricate data.