Analytics and Knowledge Management

Suliman Hawamdeh is a professor and department chair of the Department of Information Science in the College of Information at the University of North Texas. He is the director of the Information Science PhD program, one of the largest interdisciplinary information science PhD programs in the country. He is the editor in chief of the Journal of Information and Knowledge Management (JIKM) and the editor of a book series on innovation and knowledge management published by World Scientific. Dr. Hawamdeh founded and directed several academic programs including the first Master of Science in Knowledge Management in Asia at the School of Communication and Information at Nanyang Technological University in Singapore. Dr. Hawamdeh has extensive industrial experience. He was the Managing Director of ITC Information Technology Consultant Ltd, a company that developed and marketed a line of software development products. He worked as a consultant to several organizations including NEC, Institute of Southeast Asian Studies, Petronas, and Shell. Dr. Hawamdeh has authored and edited several books on knowledge management including Information and Knowledge Society published by McGraw Hill and Knowledge Management: Cultivating the Knowledge Professionals Published by Chandos Publishing, as well as several edited and co-edited books published by World Scientific. Hsia-Ching Chang is an assistant professor in the Department of Information Science, College of Information at the University of North Texas. She received her PhD in informatics and MS in information science from the University at Albany, State University of New York as well as her MA in public policy from the National Taipei University in Taiwan. Her research interests concentrate on data analytics, social media, cybersecurity, knowledge mapping, scientometrics, information architecture, and information interaction.

1 Knowledge Management for Action-Oriented Analytics 2 Data Analytics Process: An Application Case on Predicting Student Attrition 3 Transforming Knowledge Sharing in Twitter-Based Communities Using Social Media Analytics 4 Data Analytics for Deriving Knowledge from User Feedback 5 Relating Big Data and Data Science to the Wider Concept of Knowledge Management 6 Fundamentals of Data Science for Future Data Scientists 7 Social Media Analytics 8 Transactional Value Analytics in Organizational Development 9 Data Visualization Practices and Principles 10 Analytics Using Machine Learning-Guided Simulations with Application to Healthcare Scenarios 11 Intangible Dynamics: Knowledge Assets in the Context of Big Data and Business Intelligence 12 Analyzing Data and Words—Guiding Principles and Lessons Learned 13 Data Analytics for Cyber Threat Intelligence