4. The Purpose of IS from
Business Perspective
• IS provides real economic
value to the business
• IS enable firm to increase it
revenues or decrease its costs
7. Differences between behavioral
and technical approaches.
• Behavioral • Technical
approach. approach.
1. Concerned with 1. Emphasizes
behavioral issues. mathematically
based models.
2. Sociology 2. Computer science
,psychology & ,management
economics are science and
contributing operational
disciplines. research are
contributing
disciplines.
8. 3. Focus of 3. Focus on
behavioral technical
approach is solutions.
generally not a
technical
solitions.
4. The same
4. 2+2 = may be 4
equation we can
or perhaps 3.5 to
say 2+2 =4.
5.5.
5. Emphasize the
5. Emphasize the
hard side of
soft side of
technology.
technology.
9. Sociotechnical systems.
• Combination of behavioral and
technical approaches.
• Helps avoid purely technological
approach to information systems.
•Organization can achive more
efficient and effective
organizational performance.
10. Gain competitive advantage
through the use of internet
• Internet and IT has become an
essential part for the businesses
• Whatever the matter whenever the
time people used to find solutions
at cyber space
• There for businesses must use IT &
internet for their business purposes
11. Example
VAJIRA HOUSE AND CONSTRUCTIONS ltd.
Published lots of information in their official web
site.
Such as,
Home designs – 1story, 2 stories, 3 stories, commercial
Specifications
Free services
Contact details
Company charities
Compared to the other competitors in the same industry
they have gain a competitive advantage through the use
of It & internet.
12. Why do big companies still
fail in there IT
• Improper Planning
• Unrealistic expectations
• Incomplete requirements
• Lack of the executive support
• Technological Incompetence
• Installation challenge of information
technology
13. Walmart
• Sales $ 405 billions
• More than 200 Million per
week
• 9230 Retail Units
• 60 Different Banners
• 15 Countries
14. Three Basic Philosophies
• Centralized Database
• Common Platforms and
Systems
• Merchants 1st and
Technologists 2nd
15. • Save Money Live Better
• Always Low Prices, Always
• Least Cost
• Highly automated distribution
centers
• Computerized inventory system
16. Practical uses of IT
• Simple IBM Computer System
• Barcode System
• Hand-Held Computers
• Satellite Communication System
• Largest Data Centre
• RFID
17. Applying to retail Units
• Using Centralized database
• Using Barcode system
• Computerized Inventory
system
• Highly automated Database
• Using Common Platforms
18. Software as a Service
Model
• Definition
• For many companies large and
small, SaaS is the best way to
roll out new technology.
19. • The staying power of SaaS has arisen
for several reasons.
• The cost of entry is low
• The onus is on the vendor
• The vendor works for the buyer
• Less risky investment
• No need to purchase the system
• No outdated solutions
• Painless upgrades
20. Process of Knowledge
Management
Enabling Technologies for KM
Communication Collaboration
Create Share
Identify Modify
Feedback
Intelligent Knowledge
Agent Discovery
Act Apply
Culture Process Practice
Influencing Factors
24. How does the Information
Technology supports BPM
25. Intelligent Agent
• An intelligent agent (IA) is an
autonomous entity which observes
and acts upon an environment and
directs its activity towards
achieving organizational goals and
objectives.
• This can be shown graphically as
follows.
26. Agent
Condition
action
(Rules)
what is the
Actions to
world like
Sensors be done
now
Actuators
Percepts Actions
Environment
27. • ‘Intelligent Agents’ systems should
exhibit the following
characteristics:
• Accommodate new problem
solving rules incrementally
• Adapt online and in real time
• Be able to analyze itself in terms of
behavior, error and success.
28. • Learn and improve through
interaction with the environment
(embodiment)
• Learn quickly from large amounts
of data.
• Have memory-based exemplar
storage and retrieval capacities
• Have parameters to represent
short and long term memory, age,
forgetting, etc.
29. • ‘Intelligent Agents’ can be
categorized into five classes
1. Simple reflex agents
2. Model-based reflex agents
3. Goal-based agents
4. Utility-based agents
5. Learning agents
30. Knowledge Discovery
• Knowledge discovery is a concept
of the field of computer
science that describes the process of
automatically searching large
volumes of data for patterns that
can be considered knowledge about
the data.
31. • Input data for knowledge
discovery
– Databases
– Software mining
– Text
– Graphs
– Sequences
– Web
32. • Output formats for discovered
knowledge.
– Data model
– Meta data
– Knowledge representation
– Knowledge tags
– Knowledge discovery meta model
– Resource description framework