Journal of Management Analytics

The rapid advancements in Generative AI (GAI) such as ChatGPT have opened up new opportunities for research in management science. Generative AI will become increasingly integrated into organizational processes and decision making, and its impact on management science will be transformative and disruptive. This call for papers seeks submissions that explore the impact, implications and potentials of generative AI on management science research. We invite all types of papers including empirical, analytical, mathematical and computational studies.

Papers are invited that address, but are not limited to, the following topics:

• Innovative applications of GAI. How can managers leverage generating AI to improve operational efficiencies, customer service, and competitive advantage? Papers could explore how GAI (e.g., ChatGPT, BARD, JasperAI and RoBERTa) can improve decision-making within organizations.
• New methods of GAI. Papers could explore new GAI models in a range of management science contexts, such as supply chain management and marketing.
• Transformation and disruption of Management Science. How does GAI change the nature of work and management practices? What are the implications of generating AI for organizational structure, culture, and decision-making? What new products, services processes and new business models might be enabled by GAI?
• Ethics, fairness and bias of GAI. What ethical and social issues arise from the use of GAI in management, and how can they be addressed? GAI raises concerns around data privacy, security, and fairness. Papers can examine the potential for GAI to perpetuate biases in management science, and explore methods for mitigating these issues.
• Human-AI Collaboration: The use of GAI can facilitate human-AI collaboration, particularly in contexts such as knowledge creation and decision-making. Papers could examine how GAI can improve knowledge-sharing, teamwork, creativity, and innovation.
• Education and Training of GAI. The use of GAI can also improve education and training new methods introduced from reference disciplines (e.g., statistics, biology, medical science, computer science, physics, etc.) for the business analysis of big data.

Financial Support

Partial funding for the presenting author to attend the workshop (in Europe) will be provided for papers selected after the first-round review.

Guest Editors

Guohua Wan                          Shanghai Jiao Tong University

Eric Zheng                       University of Texas at Dallas

Wei Jiang                         Shanghai Jiao Tong University

 

Special Issue Editorial Board

TBD

Please select Special Issue 'Game Changing Impact of Generative AI on Management Science' when submitting your paper in ScholarOne.

Important dates

• Paper submission: for authors wishing to participate in the Invited Paper Workshop (in Europe), papers should be submitted by May 15^th, 2024. A travel grant will be provided for selected outstanding papers.
• First round notification (for Workshop participation): May 31^st, 2024
• Invited Paper Workshop (in Europe): July 2024
• Acceptance notification: November 30^th, 2024
• Final papers: December 31^st, 2024

Instructions for AuthorsSubmit an Article