Track Co-Chairs

Ping Wang
Associate Professor
ping.wang@ccnu.edu.cn
Central China Normal University

 

 

 

 

 

Xiuyan Shao
Associate Professor
xiuyan_shao@seu.edu.cn
Southeast University

 

 

 

Cong Cao
Associate Professor
congcao@zjut.edu.cn
Zhejiang University of Technology
School of Management

 

 

 

 

 

Brief Introduction

The rise of leading-edge technologies, such as Generative AI, cloud computing, artificial intelligence, IoT, and blockchain, have fundamentally transformed how business decisions are made. These technologies go beyond the traditional enterprise and end-user computing into ones that are essentially an integral part of our daily lives. Associated with these technological advances are a plethora amount of data captured, stored, analyzed, and synthesized to bring about social good in the forms of sustainability and innovation.

The intertwined relationships of data, process, methodologies, and users have become unique strategic assets to advance further sustainable development goals of an organization. Moreover, the resulting complexity generates new expectations of data quality and analytical techniques, such as mediation, moderation, and power analysis, as well as organizational or personal transformations needed to generate new values.

In this age of digital transformation, we also need to reckon with individual rights and collective interests and devote attention to risks that can lead to inequality and prejudice. How to create an open, inclusive, and responsible platform and a service system for commodity exchange, cooperation and sharing, and sustainable development remains a fundamental challenge confronting academia and enterprises. However, we are still experiencing waves of digital evolutions that create more questions than answers about how to cope with digital challenges induced by fast-paced technological advancements. Therefore, we need a deeper understanding of the fusion between data and technology that lead to innovations and sustainable development of methods, theories, and practical applications.

We welcome your submission of original manuscripts that promote the methodological, empirical, theoretical, and conceptual understanding of the opportunities and challenges facing today’s sustainable computing and how this understanding enhances the flexibility and efficiency of decision making, ensures inclusiveness and fairness, and creates value in the fields of sustainable development, digital transformation, etc. Manuscripts must be of considerable theoretical and practical significance.

Topics

1. Trust and risk management in the GenAI era
2. The interplay between individual user behaviours and generative AI
3. Safety, security, and privacy of generative AI
4. Digital transformation in the GenAI era
5. Adoption, diffusion, and use of generative AI
6. Open, inclusive, and responsible generative AI
7. Disruptive technologies in digital transformation
8. Sustainable use of social media
9. Human life, interpersonal communication, work in digital transformation
10. Applications of leading-edge technologies for sustainable development
11. IS for sustainable decision making
12. Methodology advancement for enterprise decision making
13. Policies, approaches, and studies that address how computing and transformation leads to United Nation’s sustainable development goals (SDGs)
14. Innovative personal or organizational transformations
15. Sustainable transformations in specific industries
16. Analytics that address societal issues such as the digital divide and polarization