Management Theories Decision Making and Problem Solving

Question: Discuss about the Management Theories for Decision Making and Problem Solving. Answer: Introduction: The service quality of Arnold Palmer Hospital can be effectively increased with the application of management theories such as the contingency approach and the multivariate approach. Both of the approaches are effective in improving the service quality of the organisation. Contingency approach: In the opinion of Goetsch and Davis (2014), the approach is deals with the analysis of external environment of the organisation and the adoption of certain structure that are suitable for the organisation. The approach indicates that Arnold Palmer Hospital needs to adapt to the demand of the changing technology, need for innovation and the uncertainty in the decision-making. Moreover, the approach suggests that there is no single way to address the issues of management in the organisation. An important role is played by the situational factors in designing and managing the structure of the company. The proper flow of communication is necessary between the managers and the employees in Arnold Palmer Hospital to increase the quality of service provided. Multivariate approach: The approach considers that the organisation consists of four variables such as task, structure, technology and people that are interacted to each other. Change in the organisation can come through any of the variable. According to Kerzner (2013), change in any of the variable will lead to a change in the other variables too and thus the management of the hospital needs to equally focus on all the variables. Justification of the best approach The contingency approach is considered a more appropriate approach to manage the organisation and improve the quality of services as it provides various advantages to the managers. The approach helps to ensure that the key individuals of the organisation can be easily accessible (Mikes and Kaplan 2014). The approach provides a control over the employees and thereby the performance of the company can be increased. In order to meet the needs of the organisation, the employee roles can be altered as per requirement. Thus, it can be inferred that the approach can be effective increasing the service quality of the hospital. Implementation of most appropriate approach The implementation of the contingency approach in the organisation effectively addresses the issues related to the service management. In order to keep the employees focused towards their particular roles and adapt to the organisational environment, the managers can use the approach. As the employees are completely focused towards their assigned role, they are able to understand the work better and thereby deliver better performance (Wan et al. 2013). The quality of the services provided to the customers is thus improved. In order to apply the method effectively, the managers need to develop the planning policy system and conduct a business impact analysis. The preventive controls need to be then identified in order to develop the plan. Furthermore, the maintenance of the plan has to be ensured. The contingency approach and the multivariate approach are effective in improving the quality of the services provided to the customers. However, the contingency approach is more effective as it provides the managers a number of benefits regarding the management of the organisation. Arnold Palmer Hospital thus needs to implement and maintain the approach appropriately in order to achieve the goals and objectives. References Goetsch, D.L. and Davis, S.B., 2014. Quality management for organizational excellence. pearson. Kerzner, H.R., 2013. Project management: a systems approach to planning, scheduling, and controlling. John Wiley Sons. Mikes, A. and Kaplan, R.S., 2014, October. Towards a contingency theory of enterprise risk management. AAA. Wan, Y., Taylor, C., Roy, S., Wanke, C. and Zhou, Y., 2013. Dynamic queuing network model for flow contingency management. IEEE Transactions on Intelligent Transportation Systems, 14(3), pp.1380-1392.