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Pivoting Government Through Digital Transformation

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Pivoting Government Through Digital Transformation Synopsis

Affecting every sector and country in the world, digital technology is changing the way citizens engage in society, companies conduct business, and governments deliver public services. The COVID-19 pandemic accelerated the pace of digitalization and exposed such vulnerabilities as inadequate infrastructure, weak regulations, and a scarcity of skilled professionals capable of digitally transforming government. Not immune to the digital revolution, governments are slowly adapting to a digital world. Governments are implementing digital solutions to deliver services to their citizens, make payments, and engage the public.

Focusing on how government can transition more effectively through digital transformation, Pivoting Government Through Digital Transformation covers the following key components:

  • Setting the stage during the Great Resignation period
  • Filling the digital talent pipeline
  • Best practices and vignettes for applying digital transformation in government
  • Looking ahead towards the future

Key chapter contributors from U.S. and foreign governments, as well as state and local governments, discuss how they are coping with today's environment and how they are using digital transformation efforts to enhance their organization's effectiveness and digital talent pipeline.

With chapters on theory and practice, this groundbreaking book offers an in-depth analysis of the most innovative approaches to e-government and discusses case studies from local, state, and federal government perspectives. This is an essential guide for government employees, scholars, and regular citizens who want to make government work more effectively and democratically in the digital age.

About This Edition

ISBN: 9781032439891
Publication date:
Author: Jay Liebowitz
Publisher: Auerbach an imprint of CRC Press
Format: Paperback
Pagination: 218 pages
Series: Data Analytics Applications
Genres: Public administration
Data mining
Network management
Computer science