E-Government

E-Government
See also
Management information system Process approach Silvestro model Sources of innovation Quality of public administration Importance of knowledge Business process outsourcing Knowledge management system Benchmarking

The European Commission defines e-Government as the use of information technology in public administration. This involves organizational changes and new skills of public offices to improve the quality of services provided by the administration.

E-Government is a continuous process of improvement of the quality of governance and the provision of administrative services by transforming internal and external relationships with the use of the Internet and modern means of communication. External relations are between office-citizen, office-business and the office-service provider, while the internal relations are between office-other office and office-administration staff.

The purpose of the creation of e-Government is to increase the efficiency of the public administration for the provision of services. It aims to simplify the handling of official affairs and obtaining information about how to perform them. It allows to gather in one place matters belonging to the competence of the various units of public administration and offer their procedures over the Internet.

Characteristics of e-Government

The use of information technology in the public administration should lead to:

• time-save for entrepreneur, citizen, office staff,
• capital savings
• increase the functionality of the services provided
• increase the scope of information
• increase the transparency of administrative procedures
• eliminate errors
• improving the availability of services
• integration of information resources
• citizen-oriented approach in administrative work

Machine learning and AI in e-government

Machine learning (ML) and artificial intelligence (AI) can play a significant role in e-government by helping to automate and improve various processes and services.

Examples include:

• Automating the processing of government forms and applications, reducing the need for manual data entry and speeding up the approval process.
• Providing natural language processing capabilities to government websites, chatbots, and virtual assistants, allowing citizens to easily find the information they need and interact with government services.
• Analyzing large amounts of data to identify patterns and insights, which can inform policy-making and decision-making within government.
• Predictive analytics can also be used to predict the needs of citizens and businesses, which can help the government to proactively provide services and support.

By using ML and AI, e-government can improve the efficiency, accessibility, and effectiveness of public services, making it easier for citizens and businesses to interact with government and access the services they need.

References

• Layne, K., & Lee, J. (2001). Developing fully functional E-government: A four stage model. Government information quarterly, 18(2), 122-136.