Introduction Information systems has become as integrated into our daily business activities
What is an Information System ?
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
The Business Information Value Chain
Contemporary approaches to information systems
Differences between behavioral and technical approaches . Behavioral approach. Concerned with behavioral issues. Sociology ,psychology & economics are contributing disciplines. Technical approach. Emphasizes mathematically based models. Computer science ,management science and operational research are contributing disciplines .
Focus of behavioral approach is generally not a technical solitions . 2+2 = may be 4 or perhaps 3.5 to 5.5. Emphasize the soft side of technology . Focus on technical solutions. The same equation we can say 2+2 =4. Emphasize the hard side of technology.
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.
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
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.
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
Walmart Sales $ 405 billions More than 200 Million per week 9230 Retail Units 60 Different Banners 15 Countries
Three Basic Philosophies Centralized Database Common Platforms and Systems Merchants 1 st and Technologists 2nd
Save Money Live Better Always Low Prices, Always Least Cost Highly automated distribution centers Computerized inventory system
Practical uses of IT Simple IBM Computer System Barcode System Hand-Held Computers Satellite Communication System Largest Data Centre RFID
Applying to retail Units Using Centralized database Using Barcode system Computerized Inventory system Highly automated Database Using Common Platforms POS
Software as a Service Model Definition For many companies large and small, SaaS is the best way to roll out new technology.
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
Process of Knowledge Management Create Share Identify Modify Apply Act Feedback Culture Process Practice Influencing Factors Enabling Technologies for KM Communication Collaboration Intelligent Agent Knowledge Discovery
Enabling Technologies for KM Communication Collaboration
Importance of Communication and collaboration technologies to the process of ‘Knowledge Management’
Business Process Management (BPM)
How does the Information Technology supports BPM
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.
Agent Sensors Percepts Actions Environment what is the world like now Condition action (Rules) Actions to be done Actuators
‘ 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.
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.
‘Intelligent Agents’ can be categorized into five classes Simple reflex agents Model-based reflex agents Goal-based agents Utility-based agents Learning agents
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.
Input data for knowledge discovery Databases Software mining Text Graphs Sequences Web
Output formats for discovered knowledge. Data model Meta data Knowledge representation Knowledge tags Knowledge discovery meta model Resource description framework