Open AccessCollective intelligence process to interpret weak signals and early warnings
Author(s) -
Fernando C Almeidaa de,
Humbert Lescab
Publication year - 2019
Publication title -
journal of intelligence studies in business
Language(s) - English
Resource type - Journals
ISSN - 2001-015X
DOI - 10.37380/jisib.v9i2.466
Subject(s) - sensemaking , anticipation (artificial intelligence) , interpretation (philosophy) , signal (programming language) , process (computing) , collective intelligence , psychology , computer science , cognitive psychology , data science , epistemology , human–computer interaction , knowledge management , artificial intelligence , philosophy , programming language , operating system
The treatment of weak signals is identified as a method to identify strategic surprises in a firm’s environment. Many researchers address the problem of anticipation of movements that have an impact on a firm’s environment. Weak signals are considered in some approaches and presented in the literature, but also other methods are explored. This article tries to deepen the discussion of how to treat and interpret weak signals collected in a firm’s environment. The concept of a weak signal is explained and the discussion about how to collect and interpret them is presented. Two important aspects are distinguished in the article: the usefulness of information technology in collection and treatment of weak signals and the concept of collective sensemaking in interpreting weak signals. Two cases of weak signal interpretation are presented as illustrations