Request Username
Can't sign in? Forgot your username?
Enter your email address below and we will send you your username
In the 2020s, the business environment is changing faster and more profoundly than at any time since the middle of the previous century. Many of these trends increase the exposure to systemic risks for business, endangering their thriving, growing, and successful integration in their societies. What are the implications of these trends for the private sector? Do companies need to worry about these changes? More academic research is needed to better understand the impact of the outlined trends on business.
For additional information see Call for Papers—Management Science Management Science Special Issue on Business and Its Interrelationship with Democratic Resilience, Geopolitics, and Society in a Time of Change.
Management Science (MS) and the Public Company Accounting Oversight Board (PCAOB) are pleased to announce a joint conference focused on registered report proposals relating to audit-related topics.The PCAOB and MS conference aims to facilitate collaboration among academics, practitioners, and regulators to address emerging challenges in the audit landscape by stimulating academic interest in areas of significance to the PCAOB’s mission.
The conference will be held in-person in Washington, D.C., on September 26-27, 2025. Researchers are invited to submit registered report proposals for consideration for presentation at the conference.
The PCAOB and MS conference aims to facilitate collaboration among academics, practitioners, and regulators to address emerging challenges in the audit landscape by stimulating academic interest in areas of significance to the PCAOB’s mission.
For the Call for Proposals click here. For submission criteria click here.
The interdepartmental virtual special issue on AI for finance and business decisions aims to explore the transformative impact of AI and attract top-quality research on the economics, methodology, and applications of AI and novel data analytics in practice and research in finance and business decisions. Both theoretical and empirical work is welcome, and studies developing new methods for decision making, optimization, inference and prediction, and interdisciplinary research are encouraged. We especially welcome submissions that transcend the departmental boundaries at Management Science and explore unconventional frameworks.
For additional information see Call for Papers—Management Science Virtual Special Issue on AI for Finance and Business Decisions.
In the ever-evolving landscape of finance, digital technologies have carved out a transformative path that challenges traditional paradigms and induces impactful financial innovations. The emergence of digital finance, encompassing everything from mobile banking and digital wallets to fintech innovations and robo-advisors, has not only reshaped consumer behavior, but also redefined the architecture of financial systems worldwide. This digital revolution prompts a reevaluation of financial inclusion strategies, risk management frameworks, and the overall fluidity of capital and information. As these technologies advance, there is an increasing need for robust theoretical foundations and extensive empirical studies to guide their development, optimize their integration into existing financial ecosystems, and ensure that their regulation keeps pace with innovation. The special issue aims to explore these themes, seeking contributions that address the systemic impacts of digital finance, propose novel methodologies for its analysis, and examine the broader economic implications of its rapid growth.
For additional information see Call for Papers—Management Science Virtual Special Issue on Digital Finance.
The special issue on the human-algorithm connection seeks to attract research that gives decision-makers a better understanding of the coexistence of humans with algorithms and how to improve it. The work must have an important human component (i.e., purely focusing on algorithms won't suffice) and algorithms can be understood in a broad sense including machines and apps. Top quality papers in any of the research areas represented by Management Science are welcome, both theoretical and empirical. Interdisciplinary studies are also highly encouraged.
For additional information see Special Issue on The Human-Algorithm Connection.