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Decision Support System (DSS)
It is a type of information system that helps executives make better decisions using historical and current data
Dominant technological component
Five (5) generic categories can be proposed
Target Users
A DSS can target internal or external takeholders
System Goals and Applications
A DSS can have specific or very generalized objectives
Deployment Technology
A DSS can be deployed on either a mainframe computer, a client/server LAN network, or a web-based system architecture
User Interface
The most commonly seen component, it contains the various way for a user to interact with the system
Database
This component holds all digitized data and information essential for the system's tasks
Models and Analytical Tools
These are the technical components that will allow the system accomplish its scope and tasks
Architecture and Network
These refer to how the system hardware is organized, how software and data is distributed
Data-Driven DSS
This type of DSS can take a very large amount of data available from various other information systems
Model-Driven DSS
This type of DSS emphasizes access to and manipulation of a data model in order to help decision-making for possible and probable situations
Knowledge-Driven DSS
This type of DSS focuses on knowledge as its primary framework factor
Document-Driven DSS
This type of DSS, also known as the Knowledge Management System, is a currently evolving system capable of helping managers work on unstructured digital documents and web pages
Communications-Driven and Group DSS
This type of DSS, previously known as the Group Decision Support System (GDSS) or Groupware, includes communication, collaboration, and decision support technologies
Inter-Organizational/Intra-Organizational DSS
These types of DSS put external and internal as its primary key factor
Function-Specific/General Purpose DSS
These types of DSS are designed to support more specific functions for specific types of industries or businesses
Group Decision Support System (GDSS)
It is a type of decision support system that helps organization managers and executives reach a consensus during events that require their collective opinions and proposals
Pre-Planning
This element addresses the agendas of a decision-making meeting
Collaboration Facilitation
This element ensures that ideas and communications are free-flowing, without interruptions or hindrances
Evaluation Objectivity
This element provides equal opportunity for collaborators by eliminating "office politics"
Documentation
This element takes care of logging information from the collaboration
Digitized Input is Required
Unlike traditional meetings, where ideas, comments and criticisms can be conveyed by oral discussion
Moderation is Limited
A GDSS's capabilities become liabilities when multiple discussions about a decision take place
Maintenance Costs may be High
Despite the system reducing costs, the cost of maintaining a high-end facility that can utilize the GDSS for group collaboration
The GDSS may Require a Facilitator
Some GDSS may be complicated, which means a facilitator who can lead collaborations
Hardware
it includes not just computers and other equipment, but also the conference facilities
Persware/Peopleware
This characteristic now involves not just the actual collaborators, but also the facilitators of the group collaboration
Software
This characteristic, in turn, not just involves the use of specialized tools and traditional programs, such as operating systems
Questionnaire Tools
This allows questioning, data-gathering and investigation for planning and collaboration
Electronic Brainstorming
This tool facilitates creations of proposals, ideas, and solutions that will help in making decisions
Stakeholder Identification
This tool determines the impact of the group's decision
Group Dictionaries
This allows the system to reduce a particular problem or concern into distinct interpretations
Executive Support System (ESS)
It is a type of support system tailored specifically for executive use
Information Filtering
An ESS can sift through vast volumes of information
Data Linking
An ESS is able to link data from various sources, both internal and external
Executive Role Support
An ESS can support the three (3) basic roles of an executive: interpersonal roles, informational roles , and decisional roles
Simplicity
An ESS is considered an oversimplified information system due to the fact that it does not need in-depth computer experience to use
Information Processing
An ESS can facilitate the timely delivery of data through better filtering
Flexibility
An ESS can be advantageous to organizations that have fewer layers of management
Computer Skill Requirement
Usage of an ESS assumes that executives and senior managers know how to operate computers
Long Processing Time
Depending on the volume of information, analysis and processing of data to get the desired information may take a considerable amount of time
Limitations on Summarized Information
Information derived from specific data may be insufficient for executives to base a decision
Difficulty in Quantifying Benefits
Since a decision processed by an ESS is based on summarized information, it may be hard for an executive to justify the said decision
Difficulty in Maintaining Database Integrity
Since an ESS derives on large volumes of data, some of them external, the data inside the database may not produce accurate or correct results