Figure 17
The figure presents a word cloud in which the size of each word represents its relative frequency or importance in the dataset. The largest and most visually dominant terms are “behavioral finance” and “decision making”, displayed in bold, large fonts across the center of the image. These two phrases occupy the majority of the visual space. Other large and highly visible terms include “decision-making”, “corporate governance”, “financial literacy”, “financial performance”, “behavioural finance”, “risk management”, and “sustainability”. These words are shown in varied font sizes and are arranged around the central terms. Medium-sized terms include “finance”, “corporate social responsibility”, “risk”, “overconfidence”, “capital structure”, “financial decision making”, “investor sentiment”, “performance”, “accounting”, “stock market”, and “innovation”. These words reflect related subtopics and interdisciplinary connections. Smaller words scattered throughout the cloud represent more specific or emerging topics. These include “machine learning”, “artificial intelligence”, “data envelopment analysis”, “big data”, “covid-19”, “entrepreneurship”, “financial markets”, “financial services”, “banking”, “governance”, “gender”, “india”, “china”, “prospect theory”, “earnings management”, “supply chain management”, “balanced scorecard”, “decision support systems”, and “financial crisis”, among others.Word cloud. Source(s): Authors' own elaboration