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Presentation on
Management Information System
Deepak Dwivedi
BBA E1(Vth)
Different kinds Of Systems
What is a System
“A System is an
orderly grouping of
interdependent
components linked
together according
to a plan to achieve
a specific goal.”
Kinds of systems
System
Elements
Abstract
Physical
Interactivity
Open
Closed
Human
Interaction
Manual
Automated
Working
Deterministic
Probabilistic
1. Elements system
Abstract Physical
1.1 Abstract system
Abstract systems are
conceptual or non
physical entities.
Program in a computer is
an abstract system.
They may be models-the
abstract conceptualization
of physical situations.
An abstract system is an
orderly arrangement of
interdependent ideas or
constructs.
1.2 Physical system
 Physical systems are tangible
entities that may be static or
dynamic in operation.
 For Example, the physical parts
of the computer center are the
offices, desks, and chairs that
facilitate operation of the
computer.
 They can be seen and counted,
they are static.
 A physical system is a set of
elements which operate together
to accomplish an objective.
2.Interactivity
Open Closed
2.1 Open system
A system that interacts freely with its
environment,
 It takes Input from environment and
gives Output back to environment.
 Open systems are self – adjusting
and self-regulating.
 Open systems resist entropy by
seeking new inputs or modifying the
processes to return to a steady state.
 Open systems are Adaptive in nature.
 It gets influenced by the changes
taking place in the environment.
 Example - a computer program with
well defined inputs, a process and an
output.
2.2 Closed system
A system that is cut off from its
environment and does not interact with
it
 It neither take input nor provides
output to environment.
 Self contained, self sufficient systems.
 Might run down over time, resulting
in entropy or loss of energy.
 Closed systems are non adaptive
 It remains uninfluenced by the
environmental changes.
 Such systems, in business world, are
rare.
 Example - A chemical reaction in a
sealed, insulated container.
3. Human Interaction
Manual Automated
3.1 Manual system
 Here data collection,
manipulation and final
reporting is done absolutely by
human efforts.
 It can handle less volume of
data.
 Their processing speed is
relatively slow and change of
human error is always there.
 Data are difficult to transmit
from one place to another.
 Data analysis can be done only
on sample and conclusion is
drawn about population.
3.2 Automated system
 Here computer or
microprocessor perform
all the tasks.
 It can handle relatively
huge volume of data
which is not possible by
human efforts.
 It offers quick and
accurate processing of
data.
 Data can be transported
easily through computer
network.
 Full population can be
analyzed.
4. Working
Deterministic Probabilistic
4.1 Deterministic system
It behaves in a Predictable
manner.
The current state of the
system is known to us then
its future state can be
determined.
It has strong relationship
among elements.
Example: A program to find
the factorial of the entered
number, calculators etc.
4.2 Probabilistic system
It behaves in a
Unpredictable manner.
The future state can’t be
determined even if the
current state is known for
sure.
It has weak relationship
among the elements.
Example: Weather
forecasting system.
Thank you.

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Types of information system

  • 1. Presentation on Management Information System Deepak Dwivedi BBA E1(Vth)
  • 3. What is a System “A System is an orderly grouping of interdependent components linked together according to a plan to achieve a specific goal.”
  • 6. 1.1 Abstract system Abstract systems are conceptual or non physical entities. Program in a computer is an abstract system. They may be models-the abstract conceptualization of physical situations. An abstract system is an orderly arrangement of interdependent ideas or constructs.
  • 7. 1.2 Physical system  Physical systems are tangible entities that may be static or dynamic in operation.  For Example, the physical parts of the computer center are the offices, desks, and chairs that facilitate operation of the computer.  They can be seen and counted, they are static.  A physical system is a set of elements which operate together to accomplish an objective.
  • 9. 2.1 Open system A system that interacts freely with its environment,  It takes Input from environment and gives Output back to environment.  Open systems are self – adjusting and self-regulating.  Open systems resist entropy by seeking new inputs or modifying the processes to return to a steady state.  Open systems are Adaptive in nature.  It gets influenced by the changes taking place in the environment.  Example - a computer program with well defined inputs, a process and an output.
  • 10. 2.2 Closed system A system that is cut off from its environment and does not interact with it  It neither take input nor provides output to environment.  Self contained, self sufficient systems.  Might run down over time, resulting in entropy or loss of energy.  Closed systems are non adaptive  It remains uninfluenced by the environmental changes.  Such systems, in business world, are rare.  Example - A chemical reaction in a sealed, insulated container.
  • 12. 3.1 Manual system  Here data collection, manipulation and final reporting is done absolutely by human efforts.  It can handle less volume of data.  Their processing speed is relatively slow and change of human error is always there.  Data are difficult to transmit from one place to another.  Data analysis can be done only on sample and conclusion is drawn about population.
  • 13. 3.2 Automated system  Here computer or microprocessor perform all the tasks.  It can handle relatively huge volume of data which is not possible by human efforts.  It offers quick and accurate processing of data.  Data can be transported easily through computer network.  Full population can be analyzed.
  • 15. 4.1 Deterministic system It behaves in a Predictable manner. The current state of the system is known to us then its future state can be determined. It has strong relationship among elements. Example: A program to find the factorial of the entered number, calculators etc.
  • 16. 4.2 Probabilistic system It behaves in a Unpredictable manner. The future state can’t be determined even if the current state is known for sure. It has weak relationship among the elements. Example: Weather forecasting system.