Market Trend Analysis and Data-Based Decision Making in Increasing Business Competitiveness
Keywords:
Market Trend Analysis, Data-Driven Decision Making, Artificial Intelligence, Business CompetitivenessAbstract
This research investigates the integration of market trend analysis, data-driven decision making, and artificial intelligence in the context of increasing business competitiveness. Using a quantitative approach and SmartPLS, the relationship between key variables such as Market Trend Analysis (MTA), Data-Based Decision Making (DBDM), Artificial Intelligence (AI), and Business Competitiveness (BC) is explored. The analysis results show that MTA and AI have a significant positive effect on PKBD, which in turn, positively influences DSB. These findings highlight the importance of intelligent use of data and market trend analysis in strategic decision making, which can improve business performance in the face of complex market dynamics. The practical implication of this research is that companies need to develop capabilities in managing and analyzing data effectively, as well as utilizing insights from data analysis to support decision making that is adaptive and responsive to market changes.
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Copyright (c) 2025 Joko Siswanto, Vasco A. H. Goeltom, Ihsan Nuril Hikam, Erick Alfons Lisangan, Anandha Fitriani
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