Edited by Jay Liebowitz, Visiting Professor at Seton Hall University and the former Distinguished Chair of Applied Business and Finance, Harrisburg University of Science and Technology, US

'Knowledge management and analytics originate from different viewpoints. One focuses on people and organizations knowing (or not knowing); the other on people and organizations doing (or hoping to do). As there is little point in knowing without doing, let alone doing without knowing, the potential for synergy is tremendous. This book identifies the variety of directions in which analytics might be integrated into knowledge management to give an even more powerful approach for coping with the challenges of uncertain times.'

• Contents:Foreword by Jim Lee xvPreface xviiIntroduction to A Research Agenda for KnowledgeManagement and Analytics xix1 Knowledge management: library and informationscience writ large 1Qiping Zhang and Michael E. D. Koenig2 Knowledge management placement in organizations 19Ramin Assa3 Knowledge management: enterprise-wide strategies 31Joanna Paliszkiewicz4 Knowledge management from a technology perspective 43Vincent Ribiere, Cheng Gong and Kaiyu Yang5 Knowledge management and artificial intelligenceanalytics: a bibliometric study of research trends 67Francisco J. Cantu-Ortiz6 Knowledge management and measurement 89Anthony J. Rhem7 Knowledge management and innovation: issues,gaps, applications and opportunities 107Vida Skudienė8 Serendipitous encounters to support innovationsvia knowledge visualizations 121Simon Li and Eric Tsui9 Decisions, advice and explanation: an overviewand research agenda 149Jan Vanthienen10 KM, analytics, and AI: a winning combination tosurvive the post-truth world 171Kimiz Dalkir11 Privacy and data: some research venues 191Kenneth Carling and Johan Håkansson12 Lessons learned and best practices in KM:a personal perspective 205Douglas WeidnerIndex 225

Edited by Jay Liebowitz, Visiting Professor at Seton Hall University and the former Distinguished Chair of Applied Business and Finance, Harrisburg University of Science and Technology, US

'Knowledge management and analytics originate from different viewpoints. One focuses on people and organizations knowing (or not knowing); the other on people and organizations doing (or hoping to do). As there is little point in knowing without doing, let alone doing without knowing, the potential for synergy is tremendous. This book identifies the variety of directions in which analytics might be integrated into knowledge management to give an even more powerful approach for coping with the challenges of uncertain times.'

• Contents:Foreword by Jim Lee xvPreface xviiIntroduction to A Research Agenda for KnowledgeManagement and Analytics xix1 Knowledge management: library and informationscience writ large 1Qiping Zhang and Michael E. D. Koenig2 Knowledge management placement in organizations 19Ramin Assa3 Knowledge management: enterprise-wide strategies 31Joanna Paliszkiewicz4 Knowledge management from a technology perspective 43Vincent Ribiere, Cheng Gong and Kaiyu Yang5 Knowledge management and artificial intelligenceanalytics: a bibliometric study of research trends 67Francisco J. Cantu-Ortiz6 Knowledge management and measurement 89Anthony J. Rhem7 Knowledge management and innovation: issues,gaps, applications and opportunities 107Vida Skudienė8 Serendipitous encounters to support innovationsvia knowledge visualizations 121Simon Li and Eric Tsui9 Decisions, advice and explanation: an overviewand research agenda 149Jan Vanthienen10 KM, analytics, and AI: a winning combination tosurvive the post-truth world 171Kimiz Dalkir11 Privacy and data: some research venues 191Kenneth Carling and Johan Håkansson12 Lessons learned and best practices in KM:a personal perspective 205Douglas WeidnerIndex 225

Edited by Jay Liebowitz, Visiting Professor at Seton Hall University and the former Distinguished Chair of Applied Business and Finance, Harrisburg University of Science and Technology, US

'Knowledge management and analytics originate from different viewpoints. One focuses on people and organizations knowing (or not knowing); the other on people and organizations doing (or hoping to do). As there is little point in knowing without doing, let alone doing without knowing, the potential for synergy is tremendous. This book identifies the variety of directions in which analytics might be integrated into knowledge management to give an even more powerful approach for coping with the challenges of uncertain times.'

• Contents:Foreword by Jim Lee xvPreface xviiIntroduction to A Research Agenda for KnowledgeManagement and Analytics xix1 Knowledge management: library and informationscience writ large 1Qiping Zhang and Michael E. D. Koenig2 Knowledge management placement in organizations 19Ramin Assa3 Knowledge management: enterprise-wide strategies 31Joanna Paliszkiewicz4 Knowledge management from a technology perspective 43Vincent Ribiere, Cheng Gong and Kaiyu Yang5 Knowledge management and artificial intelligenceanalytics: a bibliometric study of research trends 67Francisco J. Cantu-Ortiz6 Knowledge management and measurement 89Anthony J. Rhem7 Knowledge management and innovation: issues,gaps, applications and opportunities 107Vida Skudienė8 Serendipitous encounters to support innovationsvia knowledge visualizations 121Simon Li and Eric Tsui9 Decisions, advice and explanation: an overviewand research agenda 149Jan Vanthienen10 KM, analytics, and AI: a winning combination tosurvive the post-truth world 171Kimiz Dalkir11 Privacy and data: some research venues 191Kenneth Carling and Johan Håkansson12 Lessons learned and best practices in KM:a personal perspective 205Douglas WeidnerIndex 225