Enhancing Strategic Decision-Making through Integrated Visual Analytics: A Study on the Identification and Utilization of Emerging Technological Trends

Abstract

Technological progress exerts a decisive influence on corporate strategic decision-making, particularly within the rapidly evolving domain of science and technology.  Early identification and adoption of emerging technological trends are pivotal for enterprises to sustain competitive advantage and market position.  However, many innovative companies fail to fully leverage the potential of their products and technologies due to the absence of a systematic approach.  To counter this challenge, large corporations have established forward-looking departments dedicated to forecasting future trends and innovation.  Despite this, the current predictive process integrates human intelligence with machine learning methods, and the visual analysis that combines these two forms of intelligence holds immense potential. This paper introduces an integrated method that combines information visualization, trend mining, and interactive design, aimed at supporting users in exploring, detecting, and identifying emerging technological trends within complex datasets.  The method facilitates in-depth trend analysis and extraction of meaningful insights from data through an interactive visual representation system.  Moreover, the integration of interactive design throughout the analytical process is crucial for supporting the analytical process in technology and innovation management [8].  A literature review, trend visualization, interactive visualization, and interactive design methods are essential for understanding the context of technology management and visualization analysis systems.  The interactive design approach places special emphasis on the central role of users in the design process, ensuring that the system meets user needs and supports effective identification and utilization of emerging technological trends.The research findings indicate that the integration of human intelligence and machine learning methods can enhance the accuracy and efficiency of predicting future technological trends.  The interactive design-based method proposed in this paper not only augments and expands previous methods of technology and design management trend analysis but also introduces novel interactive designs, providing more suitable interactive methods for technology foresight and innovation detection.  These methods and tools enable enterprises to more effectively respond to market changes, grasp technological trends, and make informed strategic decisions.