INFORMS Open Forum

Dear Colleagues,

I am pleased to introduce the March 2026 issue of Decision Analysis, which was published on March 5, 2026. This issue features five articles that advance both the theory and practice of decision analysis, spanning topics including risk sharing under time preferences, Bayesian computational methods, behavioral responses to decision support, empirical studies of utility modeling, and Bayesian perspectives on investment decisions:

• Sun, Z., & Abbas, A. (2026). Risk sharing with a time preference. Decision Analysis, 23(1), 1–10. doi.org/10.1287/deca.2025.0331

• Caballero, W. N., Jenkins, P. R., Banks, D., & Robbins, M. (2026). Bayesian graph traversal. Decision Analysis, 23(1), 11–27. doi.org/10.1287/deca.2024.0239

• Momsen, K., Bachler, S., Haeussler, S., & Stefan, M. (2026). Do people willfully ignore decision support? Evidence from an online experiment. Decision Analysis, 23(1), 28–45. doi.org/10.1287/deca.2025.0349

• Tönsfeuerborn, M., von Nitzsch, R., & Siebert, J. U. (2026). Linear transformation of one-dimensional utility functions: Empirical study on the impact on the final ranking of alternatives in personal decisions. Decision Analysis, 23(1), 46–64. doi.org/10.1287/deca.2024.0317

• Johnstone, D. (2026). Bayesian resolution of an information paradox in the theory of investment. Decision Analysis, 23(1), 65–76. doi.org/10.1287/deca.2024.0243

I would also like to highlight the following papers that have recently been published online in Decision Analysis.

• Harel, Y., Tishler, A., Dvir, D., & Carmeli, A. (2026). Assessing the value of flexibility in large projects. Decision Analysis. doi.org/10.1287/deca.2025.0474

• Xie, J., & Zou, W. (2026). Asymptotic fractional degree stochastic dominance for lognormal prospects. Decision Analysis. doi.org/10.1287/deca.2025.0466

• Jiang, L., An, L., Liao, H., & De Baets, B. (2025). On path dependence in the even-swap decision-making method. Decision Analysis. doi.org/10.1287/deca.2024.0304

• Paté-Cornell, M.-E. (2025). Alignment of risk attitudes in AI risk management systems: Four examples in medicine, defense, sports, and autonomous vehicles. Decision Analysis. doi.org/10.1287/deca.2025.0355

• Kirshner, S. N., Pan, Y., & Wu, J. X. (2025). Prosocial when simple and cold-hearted when complex: How task difficulty shapes LLM behavior. Decision Analysis. doi.org/10.1287/deca.2025.0396

• Simon, J., & Siebert, J. U. (2025). ChatGPT vs. experts: Can GenAI develop high-quality organizational and policy objectives? Decision Analysis. doi.org/10.1287/deca.2025.0387

We encourage you to consider citing these papers in your work where appropriate!

Please let me know if you have any questions,

Congratulations to all the authors!!

Jun

About Decision Analysis: Decision Analysis is a peer-reviewed international journal published by INFORMS and dedicated to advancing the theory, application, and teaching of all aspects of decision analysis. The primary focus of the journal is to develop and study operational decision-making methods, drawing on all aspects of decision theory, decision analysis, and behavioral decision theory with the ultimate objective of providing practical guidance for decision makers. The journal bridges the gap between theory and practice thereby facilitating active communication and exchange of knowledge among decision analysts in academia, business, industry, and government. The audience for Decision Analysis includes a broad community of those interested in the practical aspects of decision theory and decision analysis which include specialists, practitioners, consultants, and in-house experts within organizations, as well as instructors of decision analysis or decision making courses. Please visit pubsonline.informs.org/journal/deca for more information.