Answer:
Explanation: The implementation of resource management policies can be achieved through the following: control theory, machine learning, utility-based, and market-oriented method.
1. Control theory:
Benefit- it can analyse linear and non linear systems, single or multiple systems.
Problem- It is complex and requires multiple computations
2. Machine learning Theory:
Benefit- It does not sole depend on extracting information and it gives room for improvements. It performs routine and non routine tasks
Problem- It requires a complex to understand and need trained professional to operate it.
3. Utility-based method:
Benefit - It gives urgency to tasks, it gives users better satisfaction.
Problem- the tasks needs to be carried out continuously
4. Market-oriented method:
Benefit - it gives room to know and understand the market, it leads to an increased organisational performance.
Problem- requires a professional.
The benefit of control theory is that it can analyze linear and non-linear systems, single or multiple systems while the problem is that it is complex and requires multiple computations.
The benefit of machine learning theory is that it performs routine and non-routine tasks and the problem is that it is complex to understand.
For the utility-based method, the benefit is that it gives urgency to tasks and gives users better satisfaction while the problem is that the tasks need to be carried out continuously.
In conclusion, the benefit of the market-oriented method is it leads to an increased organizational performance while the disadvantage is that it requires an professional to handle it.
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