Management Decision Support Systems Essay Example | Topics and Well Written Essays - 3750 words

Management Decision Support Systems - Essay Example Decision Support Systems (DSS) are developed based on generally two sets of assumptions. Firstly, it assumes that gaining of the right quality of information contributes in effective decision making. Secondly, the knowledge of use of computers by the managers contributes in enhancing the level of managerial decision making activities. Use of computers contributes in helping the managers gain the right quality of information and analytical tools which tend to be used for effective decision making. In the modern world, the development of World Wide Web and also other technological interfaces like e-commerce requires the development of the concept and use of DSS (Power). The paper intends to reflect on an effective review of the earlier studies conducted relating to Decision Support Systems (DSS). It further aims to reflect on the development of models and analytical concepts for use of DSS in e-commerce platform. Druzdzel and Flynn (2002) observe Decision Support Systems (DSS) as computer based interactive systems that contribute in helping the users take the right type of decision and choice relating to various activities. DSS also helps in retrieving and storage of effective data in terms of enhancing the existing mode of data accessing and storing functions. The system also generates potential support for the building of data modeling and reasoning activities based on the creation of different types of analytical models. DSS systems as a whole contribute in three different types of functions related to framing of decisions, generation of models and finally in formulating solutions based on the models created. Decision Support Systems gain key usage in managerial and planning activities related to different sectors like healthcare, business management and also in military operations. The system relating to the above areas contribute in fulfilling the objectives relating to complex decision making