This open access book focuses on theoretical and empirical intersections between governance, knowledge and space from an interdisciplinary perspective. The contributions elucidate how knowledge is a prerequisite as well as a driver of governance efficacy, and conversely, how governance affects the creation and use of knowledge and innovation in geographical context. Scholars from the fields of anthropology, economics, geography, public administration, political science, sociology, and organization studies provide original theoretical discussions along these interdependencies. Moreover, a variety of empirical chapters on governance issues, ranging from regional and national to global scales and covering case studies in Australia, Europe, Latina America, North America and South Africa demonstrate that geography and space are not only important contexts for governance that affect the contingent outcomes of governance blueprints. Governance also creates spaces. It affects the geographical confines as well as the quality of opportunities and constraints that actors enjoy to establish legitimate and sustainable ways of social and environmental co-existence.

An investigation of the role of learning and its impact on policy change, as exemplified in European Union climate policy integration. Although learning is often considered an important factor in effective environmental governance, it is not clear to what extent learning affects decision making and policy outcomes. In this book, Katharina Rietig examines the role of learning—understood as additional knowledge or experience that is taken into account by policymakers—in earth system governance and policy change. She does this by examining learning in European Union climate policy integration, looking in detail at the examples of the Renewable Energy Directive, its controversial biofuels component, and the greening measures in the Common Agricultural Policy. To examine how learning occurs in the policy process, how to differentiate aspects of learning, and under what conditions learning matters for policy outcomes, Rietig introduces the Learning in Governance Framework, applying it to analyze the EU examples. She finds that policy outcomes are affected through leadership of policy entrepreneurs, who use previously acquired knowledge and past experience to achieve outcomes aligned with their deeper beliefs and policy objectives. She concludes that learning does matter in governance as an intervening variable and can affect policy outcomes in combination with dedicated leadership by policy entrepreneurs who act as learning brokers. Bargaining dominates the policymaking process among actors who represent the interests of different organizations. Rietig’s theoretical framework, empirical studies, and nuanced analysis offer a new perspective on the relevance of learning in earth system governance.

The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and Perspectives in Knowledge Management is a collection of innovative research on the methods and applications of applying robust processes around data, and aligning organizations and skillsets around those processes. Highlighting a range of topics including data analytics, prediction analysis, and software development, this book is ideally designed for academicians, researchers, information science professionals, software developers, computer engineers, graduate-level computer science students, policymakers, and managers seeking current research on the convergence of big data and information governance as two major trends in information management.

The book argues that knowledge governance is a distinct issue in management and organization because knowledge processes differ on several dimensions from routine and more traditional processes.

Proven and emerging strategies for addressing document and records management risk within the framework of information governance principles and best practices Information Governance (IG) is a rapidly emerging "super discipline" and is now being applied to electronic document and records management, email, social media, cloud computing, mobile computing, and, in fact, the management and output of information organization-wide. IG leverages information technologies to enforce policies, procedures and controls to manage information risk in compliance with legal and litigation demands, external regulatory requirements, and internal governance objectives. Information Governance: Concepts, Strategies, and Best Practices reveals how, and why, to utilize IG and leverage information technologies to control, monitor, and enforce information access and security policies. Written by one of the most recognized and published experts on information governance, including specialization in e-document security and electronic records management Provides big picture guidance on the imperative for information governance and best practice guidance on electronic document and records management Crucial advice and insights for compliance and risk managers, operations managers, corporate counsel, corporate records managers, legal administrators, information technology managers, archivists, knowledge managers, and information governance professionals IG sets the policies that control and manage the use of organizational information, including social media, mobile computing, cloud computing, email, instant messaging, and the use of e-documents and records. This extends to e-discovery planning and preparation. Information Governance: Concepts, Strategies, and Best Practices provides step-by-step guidance for developing information governance strategies and practices to manage risk in the use of electronic business documents and records.

Patent offices around the world have granted millions of patents to multinational companies. Patent offices are rarely studied and yet they are crucial agents in the global knowledge economy. Based on a study of forty-five rich and poor countries that takes in the world's largest and smallest offices, Peter Drahos argues that patent offices have become part of a globally integrated private governance network, which serves the interests of multinational companies, and that the Trilateral Offices of Europe, the USA and Japan make developing country patent offices part of the network through the strategic fostering of technocratic trust. By analysing the obligations of patent offices under the patent social contract and drawing on a theory of nodal governance, the author proposes innovative approaches to patent office administration that would allow developed and developing countries to recapture the public spirit of the patent social contract.

Higher education and innovation policies are today seen as central elements in national economic competitiveness, increasingly measured by global rankings. The book analyses the evolution of indicator-based global knowledge governance, where various national attributes have been evaluated under international comparative assessment. Reflecting this general trend, the Shanghai ranking, first published in 2003, has pressured governments and universities all over the world to improve their performance in global competition. More recently, as global rankings have met criticism for their methodology and scope, measurements of various sizes and shapes have proliferated: some celebrating novel methodological solutions, others breaking new conceptual grounds. This book takes a fresh look at developments in the field of knowledge governance by showing how emerging indicators, innovation indexes and subnational comparisons are woven into the existing fabric of measurements that govern our ideas of higher education, innovation and competitiveness. This book argues that while rankings are becoming more numerous and fragmented, the new knowledge products, nevertheless, tend to reproduce ideas and practices existing in the field of global measurement.