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Agents migrate across the model space seeking agent groups with satisfaction threshold level averages above their individual agent satisfaction threshold level.
For this case study, we consider that the user satisfaction threshold is equal to 0.075.
Individual STEM and Non-STEM agents have defined satisfaction threshold levels based on NASA 2005 attrition data.
If one of these values is found to be less than the user satisfaction threshold, then the reallocation procedure takes place.
The objective for agents is to seek and find an agent breed group that is at or above their individual satisfaction threshold level.
Next, the current value of the user satisfaction is compared with the satisfaction threshold: the lowest possible value of the user satisfaction.
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STEM and Non-STEM age-group starting satisfaction and minimum satisfaction thresholds are uniformly assigned to all same job classification agents within the satisfied, committed, or unsatisfied segments; this is an abstraction based on assumptions from the NASA 2005 OPM data set and model calibration for approximating historical attrition rates [6].
Related satisfaction thresholds were calculated with the patient acceptable symptom state (PASS) concept.
Shared decision making using a personalized risk assessment approach provides predicted health states and satisfaction thresholds.
The classification into preoperative EQ-5D and WOMAC groups and related satisfaction thresholds allows informed decision making on THR when included in preoperative patient information [ 30].
Shared decision making using a personalized risk assessment approach provides predicted health states and satisfaction thresholds to patients and can support the individual decision on THR.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com