This is chapter 19 – OUTSOURCING IN THE 21ST CENTURY
OUTSOURCING PROJECTS
- Insourcing (in house development) – common approach using the profesional expertise within an organization to develop and maintain the organization’s information technology system
- Outsourcing – an arrangement by which one organization provides a service or services for aother organization that chooses not to perform them in house.
|
reasons company outsource |
- Onshore outsourcing – engaging another company within the same country for services
- Nearshore outsourcing - contracting an outsourcing arrangement with a company in nearby country. Often this country will share a border with a native country.
- Offshore outsourcing – using organizations from developing countries to write code and develop systems. The country is geographically far away.
OUTSOURCING BENEFITS
- - Increased quality and efficiency of a process, service or function
- - Reduce operating expenses
- - Access to advanced technologies
- - No costly outlay of capital funds
- - Reduce time to market for products or services.
OUTSOURCING CHALLENGES
- Contract length
- Competitive edge
- Confidentially
- Scope definition
Creating Collaborative Partnerships
Content sharing through open sourcing
- Open system - consists of nonproprietary hardware and software based on publicity known standards that allow third parties to create add-on products to plug into or inter operate with the system.
- Source code - Contains instruction written by a programmer specifying the actions to be performed by computer software.
- Open source - any software whose source code in made available free for any third party to review and modify.
Characteristics of Business
- is created and updated by many users for many users.
- reputation system - where buyers post feedback on sellers.
- Collaboration inside the organization
- is a set of tools that supports the work of teams or groups by facilitating the sharing and flow of information.
- Explicit and Tacit knowledge
- Explicit knowledge - consists of anything that can be documented,archived,and codified,often with the help of IT.
- Tacit knowledge - is the knowledge contained in people's heads. The challenge inherent in tacit knowledge is figuring out how to recognize,generate,share, and manage knowledge that resides in people's heads.
- Collaboration outside the organization
Social tagging
- Tags - are specific keywords or phrases incorporated into website content for means of classification or taxonomy.
- Social tagging - describe the collaborative activity of making shared online content with keywords or tags as a way to organize it for future navigation, filtering,or search.
- Folksonomy - is similar to taxonomy except that crowdsourcing determines the tags or keyword-based classification system.
- Website bookmark - is a locally stored URL or the address of a file or Internet page saved as a shortcut.
- Social bookmarking - allows users to share,organize,search and manage bookmarks.
Business 2.0 Tools for Collaborating
- Blogs
- Wikis
- Mashups
CHAPTER 14
Ebusiness
Ebusiness models
Business model - is a plan that details how a company creates, delivers, and generates revenues. Some models are quite simple: A company produces a good and service and sells it to customers.
Ebusiness models fall into one of the four categories :
- Business-to-business
- Business-to-customer
- Comsumer-to-business
- Consumer-to-consumer
Ebusiness Models
Business-to-business
- Electronic marketplace (e-marketplace) – interactive business communities providing a central market where multiple buyers and sellers can engage in e-business activities.
Business-to-consumer
- Common B2C e-business models include:
–e-shop – a version of a retail store where customers can shop at any hour of the day without leaving their home or office
–e-mall – consists of a number of e-shops; it serves as a gateway through which a visitor can access other e-shops
Business types:
–Brick-and-mortar business
–Pure-play business
–Click-and-mortar business
Consumer-to-business
-Priceline.com is an example of a C2B e-business model
- The demand for C2B ebusiness will increase over the next few years due to customers' desire for greater convenience and lower prices.
Consumer-to-consumer
Ebusiness tools for connecting and communicating
- Email
- Instant Messaging
- Podcasting
- Videoconferencing
- Web Conferencing
- Content management system
The challenges of Ebusiness
- Identifying limited market segments
- Managing consumer trust
- Ensuring consumer protection
- Adhering to taxation rules
Chapter 12 : Integrating the organization from end to end- enterprise resource planning}
Enterprise Resource Planning (ERP)
Enterprise resource planning systems serve as the organization's backbone in providing fundamental decision-making supports.
Bringing the organizational together
- information has traditionally been isolated within specific departments, whether on an individual database, in a file cabinet, or on an employee's.
- ERP enables employees across the organization to share information across a single, centralized database.
Evolution of ERP
- ERP solutions were developed to deliver automation across multiple units of an organization, yo help facilitate the manufacturing process and address issues such a raw materials, inventory, order entry, and distribution.
- ERP handle document management, such as cataloging contracts and purchase orders.
Integrating SCM, CRM and ERP
- this application are the backbone of ebusiness.
- is the key success of the company.
- allows unlocking of information to make it available to any user, anywhere, anytime.
Integrating tools
- achieved using middleware- several different types of software that sit in the middle of and provide connectivity between two or more software applications.
- enterprise application integration (EAI) middleware represents a new approach to middleware by packaging together commonly used functionality.
- if one applications performs poorly, the entire customers value delivery systems will affected.
CHAPTER 11 Building customer centric Organization - Customer Relationship Management}
- Operational CRM supports traditional transactional processing for day to day front office operations or systems that deal directly with the customers.
Decision Making
# Reasons for Growth of Decision Making Information System
- People need to analyze large amounts of information – Improvements in technology itself, innovations in communication, and globalization have resulted in a dramatic increase in the alternatives and dimensions people need to consider when making a decision or appraising an opportunity
- People must make decisions quickly – Time is of the essence and people simply do not have time to sift through all the information manually
- People must apply sophisticated analysis techniques, such as modeling and forecasting, to make good decisions – Information systems substantially reduce the time required to perform these sophisticated analysis techniques
- People must protect the corporate asset of organizational information – Information systems offer the security required to ensure organizational information remains safe.
# Model – A simplified representation or abstraction of realit
IT systems in an enterprise
Transaction Processing System
Moving up through the organizational pyramid users move from requiring transactional information to analytical information
- Transaction processing system – the basic business system that serves the operational level (analysis) in an organization
- Online transaction processing (OLTP) – the capturing of transaction and event information using technology to (1) process the information according to defined business rules, (2) store the information, (3) update existing information to reflect the new information
- Online analytical processing (OLAP) – the manipulation of information to create business intelligence in support of strategic decision making
What-if analysis
Goal-seeking analysis
Executive information system
- Executive information sysem (EIS) – A specialized DSS that supports senior level executives within the organizatioN
- Most EISs offering the following capabilities;
- Consolidation – involves the aggregation of information and features simple roll-ups to complex groupings of interrelated information
- Drill-down – enables users to get details, and details of information
- Slice-and-dice – looks at information from different perspectives
Interaction between a TPS and an EIS
Interaction between a TPS and a DSS
Digital dashboard – integrates information from multiple components and presents it in a united display
Artificial intelligence (AI)
Ø The ultimate goal of AI is the ability to build a system that can mimic human intelligence
Ø Intelligent system – various commercial applications of artificial intelligence
Ø Artificial intelligence (AI) – simulates human intelligence such as the ability to reason and learn
Ø Four most common categories of AI include;
1. Expert system – computerized advisory programs that imitate the reasoning processes of experts i solving difficult problems
2. Neural network – attempts to emulate the way the human brain works
Fuzzy logic – a mathematical method of handling imprecise or subjective information
3. Genetic algorithm – an artificial intelligent system that mimics the evolutionary, survival-of-the-fittest process to generate increasingly better solutions to a problem
4. Intelligent agent – special-purposed knowledge-based information system that accomplishes specific tasks on behalf of its users
Data Mining
#Data-mining software includes many forms of AI such as neutral networks and expert systems