What is e-readiness? Explain human infrastructure preparedness for e-governance.

 E-readiness

  • E-Readiness refers to a country's ability to take advantage of the Internet as an engine of economic growth and human development.
  • E-readiness refers to a country's capacity and state of preparedness to participate in the electronic world. The state of maturity is commonly measured by the country's information and communications technology (ICT) infrastructure and the ability of its government and citizens to use the positive impacts of ICT for sustainable development.
  • E-Readiness is the public sector's generic capacity or aptitude to use ICT to encapsulate public services and deploy to the public high-quality information (explicit knowledge) and effective communication tools that support human development. 

 Human Infrastructural Preparedness

  • Human resource development by training is an essential requirement that comes from well-trained manpower both technical and non-technical.
  • The technical manpower resources are essential for all the phases of e-governance and related information system life cycle comprising systems analysis, design, programming, implementation, operation, and documentation.
  • Both private and government institutions should play a major role in this regard. 
  • Apart from technical human infrastructure, there is a need for the crucial training and orientation of user personnel i.e. government staff in e-governance projects.
  • The government employees and staff who are the stakeholders in all e-government projects as the end-users are to be appropriately trained and oriented for change management from a manual government environment to an e-governance environment.
  • Such training will make them competent and capable of handling e-governance projects at the operational level.


Comments

Popular posts from this blog

What are different steps used in JDBC? Write down a small program showing all steps.

Suppose that a data warehouse for Big-University consists of the following four dimensions: student, course, semester, and instructor, and two measures count and avg_grade. When at the lowest conceptual level (e.g., for a given student, course, semester, and instructor combination), the avg_grade measure stores the actual course grade of the student. At higher conceptual levels, avg_grade stores the average grade for the given combination. a) Draw a snowflake schema diagram for the data warehouse. b) Starting with the base cuboid [student, course, semester, instructor], what specific OLAP operations (e.g., roll-up from semester to year) should one perform in order to list the average grade of CS courses for each BigUniversity student. c) If each dimension has five levels (including all), such as “student < major < status < university < all”, how many cuboids will this cube contain (including the base and apex cuboids)?

Discuss classification or taxonomy of virtualization at different levels.