Abstract
This study focuses on the operative level within military staffs jointly leading units in combat, whose decisions of necessity are dynamic. The aim of the present study was to describe the conditions constituting so-called good dynamic decision-making in real situation using a descriptive model. What factors are weaknesses in decision-making? Can the weaknesses be identified and then bring ideas to decision support needed and also what training might be required? For the purpose of the study, 214 participants have completed a questionnaire. Factor analysis and structural equation modelling (LISREL 8) are used as methods for analysing data. The results show that it is possible to describe dynamic decision-making using a structural equation modelling model. The main implication is that continued studies of dynamic decision-making can be carried out with a type of descriptive model.
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Notes
In a strictly confirmatory situation, Jöreskog and Sörbom (1993) advocate a less strict test, the root mean square error of approximation (RMSEA) that, above sampling error, also for a model error of the same magnitude, as well as taking sample size into consideration. A RMSEA below 0.05 indicates a model with a close fit, a fair fit is indicated with a RMSEA below 0.08, and a RMSEA above 0.10 indicates a poor fit.
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This work was supported by a FOI research project, which was funded by the R&D program of the Swedish Armed Forces.
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Appendix: Factors measured with questionnaire
Appendix: Factors measured with questionnaire
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Kylesten, B. Dynamic decision-making on an operative level: a model including preconditions and working method. Cogn Tech Work 15, 197–205 (2013). https://doi.org/10.1007/s10111-012-0221-z
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DOI: https://doi.org/10.1007/s10111-012-0221-z