Governments must innovate if they are to be effective. In a world of change, a government that stands still will soon be overtaken by events and shifting citizen expectations. This report explores the past, present and possible future journey of the innovation system of the Brazilian public service.
In Brazil, as in other countries, innovation in the public sector is a core leadership challenge. Reflection is required on who these leaders are, what they should be able to do, and how they should be selected and held accountable to achieve results. This study establishes a new assessment framework for senior civil service (SCS) systems, based on the 2019 OECD Recommendation on Public Service Leadership and Capability.
This report examined how Finland has been incorporating anticipatory functions within its governance system to deal with complex and future challenges in a systemic way. The report applies a new model of anticipatory innovation governance (AIG), developed by the OECD, addressing a considerable gap in prior knowledge and guidance on how governments prepare for unknowable futures.
This report discusses how steering innovation investment in public sector organisations through a portfolio approach can help governments respond to the multi-faceted challenges they face. Portfolio management is a well-known device in the financial sector, allowing for dynamic decision-making processes involving regular reviews of activity and ensuring a coherent distribution of resources among strategic options.
This is the second edition of a regular publication on public employment and management issues. This edition explores the theme of flexibility in the public service workforce through the angles of workforce mobility, learning and development, and flexible working arrangements.
The Open Government Review of Brazil provides an evidence-based assessment of the country’s open government agenda against the ten provisions of the OECD Recommendation of the Council on Open Government.
This report examines the innovative capacity of the public sector of Romania, exploring opportunities for the public sector to work in new and novel ways to improve outcomes. It assesses the current innovative capacity and suggests paths forward to enhance capacity.
This report explores how governments in Latin America and the Caribbean can use digital technology and data to foster responsiveness, resilience and proactiveness in the public sector.
This report provides novel evidence on Brazilian people’s expectations and evaluation of government’s reliability, responsiveness, openness, integrity and fairness, based on the OECD Trust Survey.
The contemporary world lives on the data produced at an unprecedented speed through social networks and the internet of things (IoT). Data has been called the new global currency, and its rise is transforming entire industries, providing a wealth of opportunities. Applied data science research is necessary to derive useful information from big data for the effective and efficient utilization to solve real-world problems. A broad analytical set allied with strong business logic is fundamental in today’s corporations. Organizations work to obtain competitive advantage by analyzing the data produced within and outside their organizational limits to support their decision-making processes. This book aims to provide an overview of the concepts, tools, and techniques behind the fields of data science and artificial intelligence (AI) applied to business and industries. The Handbook of Research on Applied Data Science and Artificial Intelligence in Business and Industry discusses all stages of data science to AI and their application to real problems across industries—from science and engineering to academia and commerce. This book brings together practice and science to build successful data solutions, showing how to uncover hidden patterns and leverage them to improve all aspects of business performance by making sense of data from both web and offline environments. Covering topics including applied AI, consumer behavior analytics, and machine learning, this text is essential for data scientists, IT specialists, managers, executives, software and computer engineers, researchers, practitioners, academicians, and students.
