Organizations, especially governments, should be involved in digital transformation, which takes digitalization to the higher level in terms of being able to deal better with change overall. This book focuses on how government agencies should apply digital transformation efforts to improve overall operations and citizenry impact.
Organizations, especially governments, should be involved in digital transformation, which takes digitalization to the higher level in terms of being able to deal better with change overall. This book focuses on how government agencies should apply digital transformation efforts to improve overall operations and citizenry impact.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Dr. Jay Liebowitz is the Executive-in-Residence for Public Service at Columbia University's Data Science Institute. He was previously a Visiting Professor in the Stillman School of Business and the MS-Business Analytics Capstone & Co-Program Director (External Relations) at Seton Hall University. He previously served as the Distinguished Chair of Applied Business and Finance at Harrisburg University of Science and Technology. Before HU, he was the Orkand Endowed Chair of Management and Technology in the Graduate School at the University of Maryland University College (UMUC). He served as a Full Professor in the Carey Business School at Johns Hopkins University. He was ranked one of the top 10 knowledge management researchers/practitioners out of 11,000 worldwide, and was ranked second in KM Strategy worldwide according to the January 2010 Journal of Knowledge Management. At Johns Hopkins University, he was the founding Program Director for the Graduate Certificate in Competitive Intelligence and the Capstone Director of the MS-Information and Telecommunications Systems for Business Program, where he engaged over 30 organizations in industry, government, and not-for-profits in capstone projects.
Inhaltsangabe
1. Digital Government: The Future is Already Here, It's Just Unevenly Distributed 2. Developing a Pipeline and Ecosystem for Digital Transformation: Our Federal Government 3. Capacity Building: The Federal Government's Efforts to Hire and Develop Analytics Staff 4. How Did the Great Resignation Impact Government Jobs? 5. Neurodiversity: An Important Contributor to the Government's Pivot Through Digital Transformation 6. Promoting and Developing Digital Transformation Toward 2030 7. Developing Students from All Backgrounds in Data Science for the Government 8. Data Science Mentoring without Borders 9. Data Science and Technology Trends for Official Statistics: Opportunities and Challenges 10. Challenges Posed by the Digital Transformation Paths of the Online Access Act in Germany: Implementation and the Need to Raise Awareness 11. The Future of Work in Federal Government Requires Telework 12. State and Local Governments as Employers, Information and Communications Technology Roles, and Developing the Future Public Workforce 13. Data Ethics and Social Responsibility
1. Digital Government: The Future is Already Here, It's Just Unevenly Distributed 2. Developing a Pipeline and Ecosystem for Digital Transformation: Our Federal Government 3. Capacity Building: The Federal Government's Efforts to Hire and Develop Analytics Staff 4. How Did the Great Resignation Impact Government Jobs? 5. Neurodiversity: An Important Contributor to the Government's Pivot Through Digital Transformation 6. Promoting and Developing Digital Transformation Toward 2030 7. Developing Students from All Backgrounds in Data Science for the Government 8. Data Science Mentoring without Borders 9. Data Science and Technology Trends for Official Statistics: Opportunities and Challenges 10. Challenges Posed by the Digital Transformation Paths of the Online Access Act in Germany: Implementation and the Need to Raise Awareness 11. The Future of Work in Federal Government Requires Telework 12. State and Local Governments as Employers, Information and Communications Technology Roles, and Developing the Future Public Workforce 13. Data Ethics and Social Responsibility
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