To what extent are we able to compute safety related human dynamics issues and what is slowing us down in this particular programming area?
Can we ever come up with a safety system for a workplace that would be able to overcome employee buy-in issues early on, especially if the typical large corporation is in a constant tug of war with profit and employee needs?
You see whenever we introduce changes in policy in the workplace, employees assume they are going to be required to do MORE but they are not getting more money for the work so this tends at times to cause resistance from employees to safety policies. Management doesn't often understand the issues at hand so they tend to make contradictory safety policies as well, saying that things need to be addressed in a timely fashion.
But in the aftermath of this complexity, companies are often just faking safety in order to appear to be safe when in fact they are running at a significant moral hazard to everyone (their staff, the general public and anyone else for that matter).
This particular problem is of great interest to me and I find that whenever there is an imbalance between management and employee needs there is a systemic problem that is solvable but yet only once all the variables are on the table. The problem with human safety is that most of the variables are unknown.
The general equation for solving safety related issues is:
For every task an employee is required to do or will reasonably be presented with, the employee must be trained to perform the task safely within prescribed safety policy. This idea is fundamentally at odds with bravado in the workplace, hero complexes, profit margins and it goes directly against human psychopathy that is prevalent in modern corporate culture.
What's the best approach to stabilizing a safety model?