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Knowledge Management and Big Data in Business


HKPolyU

About this course

The business landscape is changing so rapidly that traditional management, business and computing courses do not meet the needs for the next generation of workers in the business world. Most traditional methods are of a repetitive, rule-based nature and will be gradually replaced by Artificial Intelligence. In the knowledge era, the most value added job will be to manage knowledge, which includes how knowledge is created, mined, processed, shared and reused in different trades and industry. At the same time, the amount of data and information (prerequisites of knowledge) is exploding exponentially. By 2020, IDC projects that the size of the digital universe will reach 40 zetabytes from all sources including, websites, weblog, sensors, and social media. Digitalisation, Cloud Computing, Big data will transform how we live, work and even think in a Networked Economy. These trends and more will have a profound effect on how we see the world and create policies. In this course, the following topics and more are covered:

  • What is knowledge management?
  • How is knowledge captured, elicited, organized and created in business?
  • Managing knowledge at the enterprise, SMBs and personal levels
  • Digitalisation and its impact on the workplace, collaborations and new value creation
  • What is big data and how can we use data analytics from a laymen perspective?
  • What is Open Linked Data and how can it support machine reasoning?
  • How can new knowledge be mined from big data?
  • What are the technical and social problems with big data?
  • The Cloud as a canvas for service design and business model re-invention
    What are examples of applications and case studies?

The course is offered by the Knowledge Management and Innovation Research Center (KMIRC) of the Hong Kong Polytechnic University. Most of our research is company and industry based. Capabilities and competencies of the KMIRC are further strengthened by the international alliances it has formed with leading practitioners, many of which are regarded as members of the "Hall of Fame" in knowledge management, and renowned worldwide. The course is suitable for participants with a background in humanities, management, social science, physical science or engineering. No prior technical background is needed.

What you'll learn

  • Understand the role of Knowledge Management (KM) practitioners in creating business value
  • Become familiar with the techniques and tools for capturing, processing, classifying and organizing knowledge
  • How to analyze large quantities of data and information through analytics
  • How to use Cloud Services to derive new values and business models
  • Understand the role of social media and technologies in innovating new business services
  • Apply the principles you have learnt to company-based business projects

Prerequisites

None

Course Staff

Course Staff Image #1

Professor Eric Tsui

Professor Eric Tsui is the professor of the Department of Industrial and Systems Engineering of The Hong Kong Polytechnic University, and Associate Director of Knowledge Management and Innovation Research Centre of The Hong Kong Polytechnic University. Eric Tsui joined Computer Sciences Corporation (CSC) in 1989 after years of academic research in automated knowledge acquisition, natural language processing, case-based reasoning and knowledge engineering and tools. His research was supported by grants and scholarships from Arthur Young, Rank Xerox, CSC, Graphic Directions and the Australian Research Council. He was also a gratis visitor to Microsoft Research in February, 2000. Between August 2000 and January 2005, he assumed the roles of Chief Research Officer, Asia Pacific for CSC as well as Innovation Manager at Australian Mutual Provident (Australia) and Maybank (Malaysia). During his tenure at CSC, he made significant contributions to CSC's expert systems products, applied research and innovation programmes. A recipient of several international awards in Knowledge Management and E-Learning, Professor Tsui has B.Sc (Hons.), PhD and MBA qualifications.

Course Staff Image #2

Professor W.B. Lee

Professor W.B. Lee is the Chair Professor of the Industrial and Systems Engineering of The Hong Kong Polytechnic University, Director of the Knowledge Management and Innovation Research Centre of The Hong Kong Polytechnic University. Professor Lee has pioneered research and practice of knowledge management in various industrial sectors in Hong Kong which include manufacturing, trading, public utilities and health care, and has conducted research projects in knowledge elicitation and mapping, unstructured information management, and organizational learning and innovation. He is currently the co-chief editor of the Journal of Information and Knowledge Management Systems (Emerald) and the chief editor of the International Journal of Knowledge and Systems Science (IGI Publishing).

Course Staff Image #3

Professor Susanne Durst

Professor Susanne Durst is a Full Professor of Business Administration at the School of Business at the University of Skövde. She is also the leader of the research group knowledge, innovation and marketing (KIM) at the School of Business at the University of Skövde. Her research interests include small business management, SME business transfers, knowledge (risk) management, and corporate governance. She has been conducting several national and international research projects on knowledge management, SME business transfers, marketing, corporate governance, and innovation management. Her work has been recognised through different awards, including the Transeo Academic Award in 2012 and has been published in international peer-reviewed journals.

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