Prof. Boon Leing TAN
PSB Academy, Singapore
Research Area: Industry 4.0, servitization, e-business management, technology management, supply-chain management, business process re-engineering, and quality, management.
Experience: Boon publishes regularly in leading academics journals and international conference proceedings. He currently serves on the editorial boards of the Journal of Manufacturing Technology Management, International Journal of Information and Operations Management Education, the Journal of Management and Training for Industries and the International Journal of Public Sociology. His research interests are Industry 4.0, servitization, e-business management, technology management supply-chain management, business process re-engineering, and quality management. He also serves/ has served as a reviewer for numerous journals including JMTM, IJBPM and EM
Speech Title: A Study of OBE Accreditation and Assessment Practices: An International Perspective
Abstract: The aim of this work is to present a synthesis of the experiences of an international set of authors and the sharing of the global best practices in the field related to accreditation and assessment. An extensive internal survey was conducted to collect data from these international academics. After processing the data, we have organized our analysis as a discussion on a range of accreditation stages and artifacts including vision/mission statements, program objectives and outcomes, curriculum planning, educational assessment strategies, common pitfalls, and iterative continuous improvement.
Prof. Yu-Wang Chen
The University of Manchester, UK
Research Area: Decision sciences, data analytics
Experience: Yu-Wang Chen is Professor in Decision Sciences and Business Analytics at Alliance Manchester Business School (AMBS), The University of Manchester. Prior to joining AMBS as a Postdoctoral Research Associate, he worked briefly as a Postdoctoral Research Fellow at the Department of Computer Science, Hong Kong Baptist University. He received the PhD degree in Control and System Engineering from Shanghai Jiao Tong University.
His research focuses primarily on decision sciences and data analytics, including their applications to risk analysis, supply chain management, consumer preference prediction, healthcare decision support, etc. He has published more than 60 research articles in leading journals, such as European Journal of Operational Research, Environment and Planning A: Economy and Space, Computers & Operation Research, Information Sciences, Knowledge-Based Systems and IEEE Transactions on Systems, 5 books or book chapters and 20+ publications in conference proceedings.
He has been awarded as PI/Joint PI/Co-I a number of research or industry projects by Innovate UK, ERDF, EPSRC, NSFC, etc., with a total budget of over 1 million pounds. He currently serves as Associate Editor of the Decision Analytics Journal, Academic Editor of the Complexity Journal and Editorial Board Member of Web Intelligence: An International Journal and International Journal of Productivity and Performance Management (Emerald). He is a member of EPSRC Peer Review College, International Society of Multiple Criteria Decision Making, EURO Multiple Criteria Decision Aiding (MCDA) Working Groups, and the Chinese Automation and Computing Society in UK.
He has successfully coordinated and taught across a broad portfolio of course units at all different undergraduate and postgraduate levels at Alliance Manchester Business School. He currently acts as the Programme Director (2015-2018 & 2020-present) for the MSc Business Analytics programme (2021 QS Ranking: 2nd in the UK & 10th in the world).
Speech Title: Data, Knowledge and Decision Analytics
Abstract: Decision analytics allow individuals and organizations to transform data and aggregate knowledge to support informed decision making. However, real-world decision making problems are often characterized by multiple sources of data and different types of complex information. In this talk, I will briefly introduce my research on decision analytics in the context of data and uncertain knowledge. Illustrative examples will be used from the fields of engineering and management.
A. Prof. Bing-Bing Zhou
School of International Affairs and Public Administration, Ocean University of China, China
Research Area: intersection of sustainability science, land system science, and landscape ecology
Experience: Dr. Bing-Bing Zhou is a transdisciplinary researcher devoted to advancing local, regional, and global sustainability by better understanding and navigating sustainability dynamics in various contexts (e.g., rural, urban, coastal, island, village, firm) from the perspectives of spatial/land/landscape heterogeneity and/or organizational/institutional diversity. His research emphasizes the problem-driven, diagnostic approach to sustainability with a qualitative-quantitative combined methodology, which often involves field survey, key informant interview, focus group, ethnographic methods, text/content mining, geospatial analysis, remote sensing, statistical regression, computational modeling, and machine learning. He has given a dozen of invited talks on sustainability science, landscape sustainability, applied machine learning, text/content mining, and scientific writing. He has published over 20 peer-reviewed articles in high-profile journals, has been a reviewer for a wide-range of sustainability- and land-related journals, and has served as a guest editor for both Chinese and English journals.
Speech Title: Advancing food supply chain sustainability from an organizational perspective: Implications of delivery diversity in U.S. poultry sector amid the pandemic
Abstract: A prerequisite for sustainability is food security, critical for which is to advance the sustainability of food supply chain. The issue of food supply chain sustainability has gained elevated societal and scholarly attention amid the COVID-19 pandemic. The pandemic has transformed the way customers purchase products—accelerating the rise in emergency shopping—which is especially challenging for perishable goods. Particularly, grocery stores have been experiencing notable shortages of chicken, the most popular meat for the Americans since 2018. Here using data from a U.S. national company in the poultry sector, we investigate the organizational diversity for delivering chicken amid the pandemic and contrasting delivery