MISNC 2024 Program
Keynote Speakers
Prof. Carol Hsu
The University of Sydney, Australia
Talk Topic: Supporting Community First Responders in Aging in Place: An Action Design for a Community-Based Smart Activity Monitoring System
Biographical details:
Carol is a Professor in the Discipline of Business Information Systems. She joined the University of Sydney in February 2021. She received her Ph.D. in Information Systems from the London School of Economics and Political Science. After graduating, Carol worked in a financial institution in Taiwan for nearly two years. She then began her academic career working in several leading institutions in the Asia-Pacific including City University of Hong Kong, National Taiwan University and Tongji University.
Her current research interest focuses on the organizational and behavioral issues related to digital transformation in organization and IS security policy implementation. Her work has been published in MIS Quarterly, Information Systems Research, Journal of Management Information Systems, Information Systems Journal, European Journal of Information Systems, and others. She serves as Senior Editor for Information Systems Journal and Journal of Strategic Information Systems, and as Associate Editor for Information & Management. She also serves on the editorial board of Journal of the AIS and the IEEE Transactions on Engineering Management.
Abstract:
Smart activity monitoring systems allow elderly individuals to live independently. To support the situational awareness of community first responders who lack professional healthcare knowledge, this study generates four design principles for designers. Unlike traditional approaches focusing mainly on technical aspects and elderly adoption, these principles prioritize users and their situational factors, including physical materiality like motion sensor placement, digital materiality like integrated communication among multiple responders, and organizing aspects like interactions between responders, elderly individuals, and community organizations. Our work highlights the complex interconnections between smart technologies and human involvement.
Prof. Tsai-Hsin Chu
National Chiayi University, Taiwan
Talk Topic: Generative AI in Social Media: A Silver Bullet or Tech Morphine
Biographical details
Tsai-Hsin Chu is a Professor of Department of E-Learning Design and Management at National Chiayi University in Taiwan. She received her Ph. D in National Sun Yat-sen University in Taiwan, and had been visiting researchers of Georgia Institute of Technology, University of Florida, and National University of Singapore. She is an experienced interpretive case study researcher, and her research interests include information technology adoption and acceptance, post-implementation behaviors, electronic commerce, knowledge management, and e-learning. She has published papers in major journals, including European Journal of Information Systems, Information & Management, Computers & Education, Journal of Organizational Computing & Electronic Commerce, Decision Support Systems, Computers in Human Behavior, and Journal of Computer Information Systems. She also serves academic community as a council member of the Service Science Society of Taiwan, a Track Co-chairs of the PACIS conferences, and the organizer of several domestic conferences.
Abstract:
After AlphaGo defeated the world Go champion, there has been increased interest and investment in AI development. OpenAI’s ChatGPT has made AI more accessible for natural language interaction without programming. Applications like ChatGPT, or generative AI (GenAI), have gained attention for their ability to create content such as ideas, code, and text. By 2024, GenAI had 1 million monthly users. Using machine learning and LLM, GenAI is replacing human tasks in academic and practical knowledge work, blurring the line between human experts and novices. When an organization can spend a few months training beginners to use GenAI to generate solutions similar to human experts, it can significantly impact social media, industrial competition, and even school talent cultivation. GenAI can quickly create audio and video content on social media, raising concerns about spreading misinformation and biases. While GenAI can enhance productivity and innovation in business, it may also lead to increased competition and reduced demand for human skills. In education, AI usage raises concerns about passive information consumption, reduced social interaction, and learning outcomes. This speech will examine the opportunities and risks of GenAI and discuss future research issues in social media, business competition, and education.