The 6th ICBIM| Keynote Speakers

Prof. Vinod Kumar, Carleton University, Canada

Dr. Vinod Kumar is a Chancellor’s Professor of Technology and Supply Chain Management of the Sprott School of Business (Director of Sprott School, 1995-2005), Carleton University, Ottawa, Canada. Dr. Kumar has published over 400 articles in refereed journals and proceedings other than publishing dozens of books and monographs; his articles have been cited over 9000 times. He has won several Best Paper Awards in prestigious conferences, Scholarly Achievement Award of Carleton University for the academic years 1985-86 and 1987-88, Research Achievement Award for the year 1993, 2001, 2007 and 2015, and the Graduate Mentoring Award in 2011. Dr. Kumar has widely consulted industry and government. He is co-editor of one, associate-editor of another and on the editorial board of six International Journals. In addition, Dr. Kumar has also served for several years on the Board of Governors and the Senate for Carleton University and on the Board of the Ontario Network of e-Commerce. Dr. Kumar’s research interests are in optimizing performance of operation systems; supply chain sustainability; technology transfer; new product development; technology adoption; e-commerce applications and e-Government. He is on Canadian Who’s Who since last several years.

How Psychological Resistance and the Trust-building Factors Effect Elders’ Daily Care Technology Adoption Behavior?

The increasing elderly population with low birth rates in western countries has created a shortage of support workers to help them in their daily tasks, and the current health care systems were struggling to keep up with the rising demand for support/care workers. The airborne COVID-19 virus outbreak worsened the situation. The older adults were at the highest risk of death due to the COVID-19 and degradation in their immune systems with their age. The technological advancement in current years (such as Care robots, emotional companion robots, smart home products, and wearable devices) looks like a promising solution to these problems. Question is-- would they be adopted by elderly?
In our previous efforts (2020) we studied to understand the level of trust elderly people must have to accept such technological autonomous systems instead of human support, and how trust and personal characteristics can improve the intent to adopt autonomous systems. This work has been published on-line in “The Journal of Technological Forecasting & Social Change”. In 2021 we continue our research efforts on this theme. Here we study how the psychological resistance factors and trust generating factors affect the technology adoption decisions of elders. The effects of age, gender, income, past employment, and lifestyle on the relationship between the independent variables (the psychological resistance factors and trust generating factors) with the dependent variable (technology adoption decision) are also being studied in this research. The initial results derived from the first set of data obtained so far are presented while the data collection continues.

Prof. Shuanghua Yang, Southern University of Science and Technology, China

Prof. Shuang-Hua Yang, FIET, FInstMC, SMIEEE, is currently serving as the Vice Dean for Academic Affairs of Graduate School and a chair professor in the Department of Computer Science and engineering at SUSTech (Southern University of Science and Technology). Before joined SUSTech Professor Yang spent over 23 years in the UK Higher Education. He was the Head of Department of Computer Science at Loughborough University from 2014 to 2016. He joined Loughborough University in 1997 as a research assistant, and progressing to a research fellow in 1999, a lecturer in 2000, a senior lecturer in 2003, a professor in 2006, and Head of Department of Computer Science in 2014. He was awarded a Doctor of Science degree, a higher doctorate degree, in 2014 from Loughborough University to recognize his scientific achievement in his academic career. He is also an appointed expert at the national level in China. His research interests are mainly focused on Internet of Things and Cyber-Physical Systems. He authored four research monographs and over 200 academic papers.

Data Desensitization Method and Application

In the big data era information collected often contain some privacy-sensitive elements which refers to information that can cause privacy or security hazards when the information is placed in an incorrect place. Sensitive information could be personal information, network identity information, confidential and credential information or financial information etc. Data desensitization technology is to accurately extract the private information involved in the document, and then delete or hide the sensitive information, so as to achieve the purpose of privacy protection. Data desensitization for any small data set could be achieved by looking at all available data and remove unwanted or sensitive parts. For big data application an efficient and scalable method is required. This talk starts with the motivation of the work and then state of arts. Machine learning based data desensitization methods are the focus in this talk. Various machine learning methods including LSTM, CNN, BERT etc have been used in extracting sensitive information from unstructured data. Finally a real case study used in Shenzhen Public Safety Management Platform is presented.

Prof. Daniel O'Leary, University of Southern California, USA

Daniel E. O’Leary is a tenured full professor at the University of Southern California (USC), in the Marshall School of Business. He received his Ph. D. from Case Western Reserve University and his master’s degree in management science and statistics from the University of Michigan. Dan formerly worked with KPMG in their consulting practice. Professor O’Leary recently was named a Fulbright – Hays Scholar recipient and was a co-author on a paper that was named the winner of the 2020 Paul Gray “Thought Provoking” Paper award. Professor O’Leary’s book, Enterprise Resource Planning Systems book, published by Cambridge University Press has been translated into both Russian and Chinese. Professor O’Leary’s research focuses primarily on the use of emerging technologies, big data and artificial intelligence in business.

TBA

To be released.

Prof. Ali Alshahran, Arab Open University, Saudi Arabia

Dr. Al-Shahrani has been the President of the Arab Open University in Saudi Arabia since 2018. He holds a PhD in Cryptography and Information Security from University of Essex, UK, and a Master’s Degree in Computer and Information Networks from the same university. Dr. Al-Shahrani and his work have been appreciated in many forums, where he received several scientific awards, including the award for the best research paper in the Third International Conference sponsored by the IEEE Institute, on Digital Information, Networks and Wireless Communications (DINWC2015), Moscow, Russia. Moreover, a certificate of excellence for the report of academic progress and research submitted by University of Essex for two consecutive years.
Under his administration, a number of technical projects and initiatives have been implemented, and he also had initiatives and contributions to community service, as well as contributions and solutions to handling and overcoming the effects of the Corona pandemic for some educational and charitable agencies. Dr. Al-Shahrani has many research interests, the most important of which are information security, mobile payment system, and E-Learning, and he has many research papers published in scientific journals and conferences.

TBA

To be released.

Assoc. Prof. Alton Chua, Nanyang Technological University, Singapore

Dr Alton Chua is currently Associate Professor, and Department Lead, Information and Knowledge Sciences at the Wee Kim Wee School of Communication and Information, Nanyang Technological University (NTU), Singapore. As an active scholar with a research interest in information and knowledge management, he has attracted more than S$2 million worth of research grants and has published in nearly 200 peer-reviewed journal articles and conference papers, a number of which are award-winning. He is an editorial board member of several high impact journals such as the Journal of Knowledge Management and the Journal of Information Science, and has served as the Chair of the ASIS&T SIG-KM.

Topic: Information Management in the Sharing Economy

As an innovative economic and cultural force, the sharing economy has been defined by three characteristics, namely digital platforms as the key driver, peer-to-peer operations where users are both service providers and consumers, and the economic logic of access rather than ownership. Scholars have tried to unravel the sharing economy from different perspectives including business models, consumer behavior and government regulations. In this presentation, I will try to sketch the research landscape of the sharing economy from a corpus of published works. The purpose is to offer research directions in which interested information management scholars can pursue as well as highlight where various collaboration opportunities exist. Hopefully, our understanding of the ever-evolving sharing economy can be enriched though the lens of information management.