A Managerial Early Warning System at a Smart Factory: An Intuitive Decision‐making Perspective (CROSBI ID 258229)
Prilog u časopisu | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Bertoncel, Tine ; Eranda, Ivan ; Pejić Bach, Mirjana ; Meško, Maja
engleski
A Managerial Early Warning System at a Smart Factory: An Intuitive Decision‐making Perspective
Early warning systems are becoming increasingly important in high‐risk industries, because of their potential to detect all kinds of subtle threats and opportunities, that is, weak signals, in order to avoid strategic surprises. However, it is an under‐researched area within the context of smart factories. For the purpose of the study, semi‐structured group interviews were used to investigate how managers at a smart factory, a highly innovative global supplier in the automotive industry sense weak signals, perceive the role of intuition, smart systems and business model adjustments. The results of the study show that managers perceive early warning systems as highly important for timely response to development changes and that both smart systems and intuition play an essential role in detecting and responding to weak signals. Based on this study, we propose a managerial early warning system model with four stages, namely, identifying, screening, appraising and responding to weak signs, within the context of a smart factory
early warning, smart factory
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Podaci o izdanju
35 (4)
2018.
406-416
objavljeno
1092-7026
1099-1743
10.1002/sres.2542
Povezanost rada
Ekonomija, Informacijske i komunikacijske znanosti