Exploring Cognitive Characteristics in Weak Signals Perception within Science and Technology foresight
Year: 2024
Type: article
Abstract: This paper systematically explores weak signal characteristics within science and technology (S&T) in its early perception, aiming to uncover future trends and enhance technological risk prevention. It begins by summarizing weak signal connotations and lifecycle characteristics, followed by a bibliometric analysis of early weak signals in S&T forecasting. To dynamically grasp weak signal changes and transformations, the study analyzes signal dimensions between weak and strong signals, exploring characteristic differences and potential transformation paths from a cognitive and evolutionary standpoint. Early weak signals in S&T foresight are marked by obscurity and high uncertainty, posing perception challenges. By contrasting signal attributes, including low visibility, uncertainty, fragmentation, subjectivity, predictiveness, and implicit knowledge gaps, the study lays a theoretical foundation for early weak signal perception in S&T foresight research and practice.
Authors: Xu, Haiyun, Zhang, Huiling, Liu, Chunjiang, Zhang, Xin, Li, Shuying
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930524012
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