A Research Agenda for Knowledge Management and Analytics

Description

Elgar Research Agendas outline the future of research in a given area. Leading scholars are given the space to explore their subject in provocative ways, and map out the potential directions of travel. They are relevant but also visionary. Leveraging the knowledge gained from knowledge management and from the growing fields of Analytics and Artificial Intelligence (AI), this Research Agenda highlights the research gaps, issues, applications, challenges and opportunities related to Knowledge Management (KM). Exploring synergies between KM and emerging technologies, leading international scholars and practitioners examine KM from a multidisciplinary perspective, demonstrating the ways in which knowledge sharing worldwide can be enhanced in order to better society and improve organisational performance. Chapters investigate KM as it applies to business, library and information science, enterprise-wide strategies, innovation, privacy and data, measurement, Analytics, and AI, before summarising the lessons learned and best practices for future research. A Research Agenda for Knowledge Management and Analytics will be a key resource for students, academics and practitioners working in the fields of KM and Analytics, helping the academics of the future to build on existing successes and identify ways to further develop the field. Front Matter Copyright Contents Contributors Foreword Preface Introduction to A Research Agenda for Knowledge Management and Analytics 1. Knowledge management: library and information science writ large 2. Knowledge management placement in organizations 3. Knowledge management: enterprise-wide strategies 4. Knowledge management from a technology perspective 5. Knowledge management and artificial intelligence analytics: a bibliometric study of research trends 6. Knowledge management and measurement 7. Knowledge management and innovation: issues, gaps, applications and opportunities 8. Serendipitous encounters to support innovations via knowledge visualizations 9. Decisions, advice and explanation: an overview and research agenda 10. KM, analytics, and AI: a winning combination to survive the post-truth world 11. Privacy and data: some research venues 12. Lessons learned and best practices in KM: a personal perspective Index