Web-based Decision Support System
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Transcript of Web-based Decision Support System
Jasour Obeidat
Dr. Hussain Owaied
January 2013
Web Based Decision Support Systems
DSS(40201742)
Outline
• Tasks in Conventional Decision Support Systems.• Why Internet and World Wide Web.• Web-Based Decision Support System DSS.• Decision Technology As A Service.• Recent Research in Web-Based DSS.• Benefits of Web-Based DSS.• Challenges Faces Web-Based DSS.• References
Jasour A.Obeidat – Middle East University, Jan.2013
Conventional Decision Support System (DSS)
• Current DSS facilitate a wide variety of decision tasks:
Information Gathering and Analysis
Model Building
Sensitivity Analysis
Alternative Evaluation
Decision Implementation
Jasour A.Obeidat – Middle East University, Jan.2013
Why Internet & World Wide Web?
• The global internet is now enabling technologies for delivering computerized decision support systems.
• There are many on-going efforts to develop and implement Web-Based DSS in various areas such as: Health Care. Private Companies. Governments. Education.
Jasour A.Obeidat – Middle East University, Jan.2013
Web-based Decision Support System
• Delivering decision support information or tool to manager or business analyst.
• The computer that is hosting DSS application is linked to user’s computer via computer networks with TCP/IP.
Web-based Decision Support System
• Main Terms:
Web-Based
The entire application is implemented using web technologies.
Web-Enabled
key part of an application like a database remain on a legacy system, but the application can be accessed from a web-based component and displayed in a browser.
Jasour A.Obeidat – Middle East University, Jan.2013
Web-based Decision Support System
• Approaches used to deliver Web-Based DSS:
Data Driven Approach
Which helps managers to {Organize, Retrieve, Analysis} large volume of relevant data using database and OLAP techniques.
Model Driven Approach
Formal representations of decision model and provide analytical support using the tools of decisions such as:
- Decision Analysis.- Decision Simulation.- Decision Statistics.
Jasour A.Obeidat – Middle East University, Jan.2013
Decision Technology As A Service
• Web technologies can be classified as:
Server Side Computations Client Side Computations
Facilitate platform independent and universal access to decision support
application
Relevant TechnologiesJAVA Application
Server Side Scripting Lang.PHP & JAVA Server Pages
Allow more capabilities to be embedded in the user
interface
Relevant TechnologiesJAVA Applets
Active X ControlsBrowser Plug-ins
Jasour A.Obeidat – Middle East University, Jan.2013
Recent Research in Web-based DSS
• Researches in this area concentrate on two point of views:
Architecture & Technologies
Application & Implementation
Jasour A.Obeidat – Middle East University, Jan.2013
Recent Research in Web-based DSS- Architecture & Technologies (1)
DSS meta data model for distributing decision support system on the web.
Idea & Concentration
The ability to find appropriate resources on the web and determine their situation ability.
Meta data helps end users to locate and understand a specific DSS capability on the web.
EXPLANATION
Jasour A.Obeidat – Middle East University, Jan.2013
Recent Research in Web-based DSS- Architecture & Technologies (2)
.
Investigate customers satisfaction with web-based decision support system
Idea & Concentration
Proposing three independent variables:- System Quality {Ease of use, convenience of access}.- Information Quality {Relevance, Accuracy,
Completeness, Timeliness}. - Information Presentation.
As a results: System quality and information quality are correlated to end users satisfaction. Information representation : did not have a statistically significant impact on an end users.
EXPLANATION
Jasour A.Obeidat – Middle East University, Jan.2013
Recent Research in Web-based DSS- Application and Implementation(1)
.
Web Based DSS for Hospital Management.
Application
It is a customer relationship management system for physician relationship management , called physician profiling system
Implementation
Jasour A.Obeidat – Middle East University, Jan.2013
Recent Research in Web-based DSS- Application and Implementation(2)
.
Web-based DSS that used a model based on fuzzy set theory to perform risk analysis for e-commerce development
Application
In Prototype: - Web browser : Used as Interface component. - Database / DSS Models : Hosted at Servers. Prototype Usage: - Helps managers to { identify , Analyze , Prioritize} risks.
Implementation
Jasour A.Obeidat – Middle East University, Jan.2013
Recent Research in Web-based DSS- Application and Implementation(3)
.
Web-based DSS framework for portfolio selection.
Application
Uses Online Analytical Processing OLAP and Parallel Virtual Machine PVM. In Prototype:-Enables multiple computers to handle a large-scale decision support problems . Performance: IMPROVED !!!- By using multiple user interfaces (i.e. Web browser) accessing database hosted over servers and analyzed based on DSS models hosted too.
Implementation
Jasour A.Obeidat – Middle East University, Jan.2013
Benefits of Web-based DSS
The benefits of building web-based decision support system are :
Increasing the availability. Growing sophistication of web technologies. Providing remote controlling. Distributed computations. Exchange of complex multimedia information.
Challenges faces Web-based DSS
Technological Challenges :
The basic web architectural model designed for random jumps in hyperspace, without providing a persistent connection or state. But DSS generally needs repeated interactions with a model and exchange a large amount of data speared across interactions.
Economical Challenges:
To offer decision support as a service, providers must experiment the new payments methods.
Social and behavioral challenge:
The type of users by applying Web-based DSS casual users , where , the previous users were professionals.
Jasour A.Obeidat – Middle East University, Jan.2013
Thank You
Questions ???
Jasour A.Obeidat – Middle East University, Jan.2013
References
The soft copy will be available at www.jasourobeidat.somee.com
[1] Progress in Web-Based decision support technologies, Hemant K.Bhagava, Daniel J.Power, Daewon Sun, University of California, United States, Augest 2007.
[2] Dr. Dan Power official website, www.dssresources.com/subscriber/password/dssbookhypertext ,2002
Jasour A.Obeidat – Middle East University, Jan.2013