The investigation reveals how business leaders use social media tools to make decisions while managing communication within their teams. This research analyzes how companies use social media to support their business strategies while studying its effects on important decisions and interactions between stakeholders. This study analyzes business decision making with support vector machines, decision trees, neural networks, and random forests to reveal patterns in social media data effectiveness. Analysis using neural networks shows a notable improvement in decision efficiency through social media data which achieves 85% accuracy rates. Random forests outperformed other algorithms by 10% when it came to customer behavior prediction while decision trees improved market response by 15%. Businesses that use social media for immediate customer interaction and team innovation adapt better to fast-changing markets. This study helps businesses better understand how social media works in today's market by providing tools to improve their communication methods and business decision making.
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