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.
3. Focus of 3. Focus on behavioral technical approach is solutions. generally not a technical solitions. 4. The same4. 2+2 = may be 4 equation we can or perhaps 3.5 to say 2+2 =4. 5.5. 5. Emphasize the5. Emphasize the hard side of soft side of technology. 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
ExampleVAJIRA 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 charitiesCompared 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 1st 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
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 Enabling Technologies for KMCommunication Collaboration Create Share Identify Modify Feedback Intelligent Knowledge Agent Discovery Act Apply Culture Process Practice Influencing Factors
Enabling Technologies for KM• Communication• Collaboration
• Importance of Communication and collaboration technologies to the process of ‘Knowledge Management’
How does the InformationTechnology 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 Condition action (Rules) what is the Actions to world likeSensors be done now Actuators Percepts Actions Environment
• ‘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 classes1. Simple reflex agents2. Model-based reflex agents3. Goal-based agents4. Utility-based agents5. 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