management support systems - integration, impact & future

8/3/2019 Management Support Systems - Integration, Impact & Future

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Integration, Impact & Future ofManagement-Support Systems

Prof. Rushen Chahal

Prof. Rushen Chahal


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Learning Objectives

Learn the processes of systems integration for MSS.

Understand the difficulties in integrating systems.

Describe major models in integration.

Define intelligent DSS.

Understand concept of intelligent modelling. Know MSS integration with enterprise and Web systems.

Describe impacts of MSS on organization.

Learn the potential impact of MSS on individuals.

Define societal impacts of MSS.

Be cognizant of the ethical and legal issues of MSS.

Understanding the digital divide. Describe Internet communities.

Overview of future of MSS.

Prof. Rushen Chahal 15-2


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Systems Integration

Functional integration Different applications provided as single system

Across differing MSS or within MSS

Solves repetitive problems

Integration of MSS techniques to build specific MSS Physical integration

Hardware, software, and communications integration

Applications integration Data, applications, methods, and processes

Develop level integration

Integrate to increase capabilities

Integrate to enhance intelligent tools



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Models

Integration of expert systems and DSS Expert systems attached to DSS

ES 1: Database intelligent component

ES 2: Intelligent agent for model base and management

ES 3: System for improving user interface ES 4: Consultant to DSS

ES 5: Consultant to users

Usually, only one or two are attached

Expert system as separate components

Expert systems output as input to DSS

DSS output as input to expert system

Feedback

Expert systems generation of alternatives to DSS

Unified approach



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Page 5Prof. Rushen Chahal 15-5


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Models

Tight integration due to shared

interfaces and resources

Shared decision-making

Expandable to other intelligent systems

Can integrate EIS, DSS and expert

systems

Information from EIS is inputted into DSS DSS feedback to EIS

Expert system used for interpretation,

explanation



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Intelligent DSS

Active DSS

Intelligent component

Symbiotic

Understands domain and provides explanations

Helps formulate problems

Relates problems to solver

Interprets results Explains results and decisions



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Intelligent DSS

Self-evolving DSS Aware of how it is being used and adapts to needs of

use Dynamic menus

User interface

Intelligent model-based management system

Problem management Automate processes by dividing into smaller steps

Specific architecture to support functionalrequirements



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Integration

Increases functionality

Makes enterprise systems more user

friendly Provides greater flexibility

Saves money by integration various

systems Enables easier integration of functional

systems



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Integration

ERP Integrates analytical capabilities

Supply chain systems

Enhance capabilities Optimize tools

Knowledge management systems Communication, collaboration, storage

DSS integration

Intelligent systems integration Data mining tools with manufacturing systems

DSS and learning systems

Data mining with business modeling



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Issues

Cost-benefit justifications

Feasibility

Architecture choices

Infrastructure

Development process and tools

Connectivity

Web-based integration

Data issues Legal issues and privacy

New technology introduction, integration



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Impacts of MSS

Organizational Culture

Creation of new departments

Virtual teams

Business process reengineering Business simulation tools

Increased production

Increased customer satisfaction

Improvement in quality Supply chain management improvements

Improved performance of managers and employees



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Impacts of MSS

Individual

Increased job satisfaction

Negative effect on individuality Dehumanization

Job stress

Lack of cooperation by expert



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Impacts of MSS

Societal Positive effects

Reduction or elimination of humans in hazardous positions

Increased opportunities for disabled, home bound, and single

parents Telecommuting

Improved health care

Improved quality of life

Negative effects

Computer fraud and embezzlement

Identity theft

Neglect of family

Increased power due to increased centralization of organizations



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Legal and Privacy Issues

Antitrust

Unfair competition

Unreasonable personal intrusion Collection of information about individuals

Ethics Personal values

Intellectual property rights Copyright

Trademarks

Domain names

Patents

Computer abuse

Electronic surveillance

Use of proprietary databases

Data integrity



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Page 17Prof. Rushen Chahal 15-17


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Impacts of Artificial Intelligence

Increased employment through newlycreated MSS-related jobs

Massive unemployment throughautomation of processes

Social implications

Increased leisure time

Government intervention with employmentlevels

Increased wealth



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Internet Communities

Groups of people with common interests

Interact through Internet

Types

Communities of transactions Facilitate buying and selling Communities of interest

Based on specific topic

Communities of relations

Organized around life experiences Communities of fantasy

Based on imaginary environments

Game playing



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Digital Divide

Growing gap between those who have and

those who do not have access to

technology

Exists within and between countries



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Future of MSS

MSS is becoming a Web-based technology

Combining and integration with business intelligence

BI is being combined with a number of Web-based applications

Intelligent systems are being employed in the war against terrorism

Web-based advisory services are being developed

More complex MSS applications are being developed

Trend toward increasing intelligence of systems

Pervasive computing

MSS are being disseminated via ASPs

Natural language based search engines

Semantic web



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Future of MSS

Voice technologies are being enriched through use of MSS

CRM improvement

Improvement along supply chain through integration with ERP

Expertise availability on Internet

Initiation of formal knowledge-management programs

More intelligent agents on Internet and other networks

Greater use of wireless technologies

Intelligent agents will roam the Internet, intranets, and extranets tomonitor information and assist in decision-making

Increase in groupware technologies for collaboration andcommunication

DSS for e-commerce

Decision-support tools for e-commerce will be expanded


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