Information Visualization and Decision-Making Efficiency of Small and Medium Enterprises in Port Harcourt Metropolis

Authors: Modey, Celestine Ishabor and Omunakwe, Priscilla Obunwo

Abstract:
This study was inspired by the need to investigate the relationship between information visualization and decision-making efficiency of small and Medium Enterprises in Port Harcourt Metropolis. The cross-sectional survey strategy was adopted. Data was collected through structured questionnaire. The study population consisted of 80 leaders drawn from the leadership of small and medium enterprises in Port Harcourt Metropolis. 4 employees occupying leadership positions were surveyed from 20 SMEs. The study sample was 80. The hypotheses were tested using the Spearman’s Rank Order of Correlation Coefficient. The tests were carried out at a 0.05 significance level. The findings revealed that there is a positive and significant relationship between information visualization and decision-making efficiency. Therefore, the study concludes that information visualization positively enhances decision making efficiency of small and medium enterprises in Port Harcourt. Hence, SMEs in Port Harcourt should consider implementing tag clouds as a part of their decision-making processes. Tag clouds can help present key information and trends visually, making it easier for decision-makers to quickly grasp essential insights. SMEs in Port Harcourt should consider adopting plot tables as a valuable tool for decision-making. Plot tables can present complex data in a concise and visually aesthetic manner, making it easier for decision-makers to understand trends and patterns. SMEs in Port Harcourt should raise awareness among decision-makers and employees about the benefits of using plot tables for decision-making. Conduct training sessions to ensure that everyone understands how to create, interpret, and utilize plot tables efficiently and effectively.

Keywords: Information Visualization, Tag Clouds, Plot Tables, Charts, Decision Making Efficiency, Informed Decision & Quality Decisions

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