Track Co-Chairs
Hefu Liu
Professor
liuhf@ustc.edu.cn
University of Science and Technology of China, China
Meng Chen
Assistant Professor
chanmoon@suda.edu.cn
Soochow University
Zhao Cai
Associate Professor
Zhao.Cai@nottingham.edu.cn
University of Nottingham Ningbo, China
Associate Editors
Yuting Wang
Lecturer
yutingw@shu.edu.cn
Shanghai University, China
Liangqing Zhang
Post-doc Research Fellow
zhanglq@cqu.edu.cn
Chongqing University, China
Yao Chen
Lecturer
chenyao@just.edu.cn
Jiangsu University of Science and Technology, China
Brief Introduction
This track aims to advance our knowledge of the impact of information systems (IS) on operations management (OM). The emerging information technologies in the likes of artificial intelligence, blockchain, cloud computing, and big data not only digitalize but also reconfigure business processes. Conceivably, modern enterprises increasingly adopt cutting-edge IS to support their operational strategic decision-making, business processes redesign, economic transactions transformation, product/service development, and organizational capabilities development. Recently, increasing attention has also been paid to the potential of IS to contribute to sustainable manufacturing, carbon reduction, and environmental strategies. As such, it is imperative to have more studies to explore how IS can support and change OM. Moreover, an integral part of this track is the exploration of data flow and data management within the realms of IS and OM. Harnessing the power of data has become a strategic imperative in today’s digital economy. Effective data management strategies can help organizations ensure the accuracy, accessibility, consistency and overall quality of their data, thereby enabling them to make more informed decisions.
This track attempts to provide a forum for discussion and exchange on the role of IS in OM in the era of digitalization. We encourage rigorous and relevant research with a wide range of methods to scrutinize the manifestation and influence of IS in OM in different research levels including the process, firm, and supply chain levels. We are especially interested in research that advances theories and practices for emerging research streams, such as AI for OM, IS-enabled servitization, green IS, and sustainable supply chain management.
Topics
1. Influence of IS on Operational Strategies
2. Digitization of Logistics and Supply Chain Management
3. Digital Technologies for OM
4. Smart Manufacturing and Servitization
5. Product and Service Development through IS
6. Green IS and Sustainable Supply Chain Management
7. OM in Platforms
8. Artificial Intelligence in Managing Data Flow and Data Management in Operations
9. Efficient Data Management Practices on Operational Performance
10. Challenges and Opportunities in Integrating New Information Technologies for Improved Data Flow