Which of the following strategies can managers use to manage high uncertainty and heavy information demands?

To manage high uncertainty and heavy information demands, the strategy of reducing the need for information is often considered effective because it can streamline decision-making processes and minimize overload. By identifying the most critical information required for decision-making, managers can focus on what truly matters and eliminate unnecessary data that may complicate the situation. This allows organizations to be more agile and responsive, as they do not get bogged down by excessive data.

In many scenarios, reducing the need for information involves clarifying goals and objectives, which helps prioritize the information that is essential for achieving strategic outcomes. This not only saves time but also ensures that the data being analyzed is relevant and actionable, leading to better-informed decisions amidst uncertainty.

Other strategies like increasing information gathering and hiring more analysts could lead to even more data that needs to be managed, potentially exacerbating the situation. Improving communication channels is beneficial for sharing information but does not address the core issue of information overload and uncertainty. Thus, reducing the need for information stands out as a proactive approach to simplifying decision-making under challenging conditions.