Keynote Speakers

 

 

 

 

Rajiv Sabherwal, Fellow of IEEE and Fellow of Association for Information Systems
Distinguished Professor and Edwin and Karlee Bradberry Chair
Edwin & Karlee Bradberry Chair and Department Chair of Information Systems
Walton College of Business at University of Arkansas, USA


 
Rajiv Sabherwal is Distinguished Professor, Edwin & Karlee Bradberry Chair, and Department Chair of Information Systems in the Walton College of Business at University of Arkansas. He has published on the management, use, and impacts of information technology and knowledge in Information Systems Research, MIS Quarterly, Management Science, Organization Science, Journal of Management Information Systems, and other journals. He has performed numerous editorial and conference leadership roles, including serving as Editor-in-Chief for IEEE Transactions on Engineering Management, Conference Co-Chair for International Conference on Information Systems, Program Co-Chair for Americas Conference on Information Systems, Senior Editor for MIS Quarterly and Journal of AIS, and Special Issue Editor for Information Systems Research. He is a Fellow of IEEE, a Fellow of the Association of Information Systems, and a PhD from University of Pittsburgh.

Speech Title: Information Technology and COVID-19: Some Observations and Empirical Findings

Abstract: The last year and more has been marked by the world at large struggling with COVID-19. Amidst the pandemic, individuals, families, organizations, and governments have had to make numerous adjustments. Information technology (IT) has played a paramount role in these times, perhaps second only to the healthcare professionals. In this presentation, I will share some observations and empirical findings concerning the utilization and impacts of IT. In addition to a paper I recently published on the potential economic impacts of IT amidst a pandemic, I will draw upon an ongoing empirical study on the impact of IT on students and faculty at a large academic institution. I will also discuss the broad, societal, implications contemporary IT has had during COVID-19, while considering potential beneficial as well as adverse effects. 

 

 

 

Hing Kai Chan, Professor, IET Fellow

University of Nottingham Ningbo China

 

Professor Hing Kai Chan joined the Nottingham University Business School China in September 2014, and is a Professor of Operations Management. He received the MSc degree (with distinction) and the PhD degree from the Department of Industrial and Manufacturing Systems Engineering, University of Hong Kong. He also earned the BEng degree in Electrical and Electronics Engineering from the University of Hong Kong. He received the BSc degree in Economics and Management from the London School of Economics and Political Science. He worked in the electronic manufacturing industry over 10 years before joining the academia.

Professor Chan has published over 100 peer-reviewed academic articles and (co-)edited several special issues for reputable international journals. His publications appear in Production and Operations Management, European Journal of Operational Research, various IEEE Transactions, Decision Support Systems, International Journal of Production Economics, International Journal of Production Research, among others. He has been the co-editor of Industrial Management & Data Systems (SCI-indexed) since 2014, and is an Associate Editor of Transportation Research Part E: Logistics and Transportation Review (SCI-indexed) since 2018. He was the Associate Editor of the IEEE Transactions on Industrial Electronics (SCI-indexed) from 2009 to 2015, and the Associate Editor of the IEEE Transactions on Industrial Informatics (SCI-indexed) from 2014-2017. Professor Chan also serves as an Editorial Board Member (or similar) in a number of journals such as Journal of Business & Industrial Management (SSCI-indexed), International Journal of Logistics Research and Applications (SSCI-indexed), Online Information Review (SCI-indexed).

Professor Chan is a Fellow of the Institution of Engineering and Technology (FIET), and the Higher Education Academy (FHEA). He is also a Senior Member of the Institute of Electrical and Electronics Engineers, a Member of the Chartered Institute of Marketing and the Chartered Institute of Logistics and Transport. Professor Chan is a Chartered Engineer and a Chartered Marketer. In 2019, he was appointed as the Expert Committee Member of the Ningbo Municipal Commerce Bureau “Supply Chain Innovation and Applications Committee”.

Speech Title: Location and maintenance routing problem for offshore wind farms
Abstract: This presentation examines an integrated maintenance scheduling, location and routing decisions problem for offshore wind farms. A Service Operation Vessel and a Safe Transfer Boat (or Crew Transfer Vessel) are used to maintain a set of turbines in this setting. The aim is to dynamically and simultaneously find the best locations for the Service Operation Vessel in the plane (i.e., the sea) and to determine the best delivery and pick-up routes used by the Safe Transfer Boat to access the turbines. Given the limitations of solving this problem using exact methods in a continuous space, a hybrid model with a mixed-integer nonlinear programming and Genetic Algorithm is proposed. The computational results, using the Thanet offshore wind farm in the South East of the UK as an example, demonstrate the effectiveness and robustness of the proposed hybrid method.

 

 

Jason T.M. Choi, Professor

The Hong Kong Polytechnic University, China

 

Short bio: Tsan-Ming Choi (Jason) is currently Professor of Fashion Business at The Hong Kong Polytechnic University (PolyU). Over the past decade, he has actively participated in a variety of research projects on logistics and supply chain management, and applied optimization for fashion business operations. He has authored/edited 16 research handbooks and published extensively in well-established Web of Science listed citation journals. He is now serving as the Co-Editor-in-Chief of Transportation Research Part E, a department editor of IEEE Transactions on Engineering Management, a senior editor of Production and Operations Management, and an associate editor of Decision Sciences. He received the President’s Award of Outstanding Performance of PolyU in 2008, and the Best Associate Editor Award of IEEE Systems, Man, and Cybernetics Society in two consecutive years (2013 and 2014). He was elected to be an outstanding alumnus of Faculty of Engineering, The Chinese University of Hong Kong in 2017. He is currently serving as a member of the engineering panel of Research Grants Council (Hong Kong SAR).

Speech Title: Supply Chain Coordination with Risk-Sensitive Agents in the Data Analytics Era

Abstract: Supply chain coordination (SCC) is one of the most important topics in supply chain management. In particular, in a market full of uncertainties, supply chain agents face non-trivial levels of risk. Thus, a stream of research exploring SCC problems with risk-sensitive agents emerges. Nowadays, in the data analytics era, the SCC problem with risk-sensitive agents becomes even more important as (i) operations managers can assess the risk preferences of supply chain agents more precisely and (ii) computational power is enhanced. In this keynote speech, based on my recent publications and on-going research, I will share some recent advances and challenges in this topic. In particular, I will discuss the SCC challenges under the recently proposed mean-variance-skewness-kurtosis framework.