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8 articles

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Apr 12, 2026 · Industry Insights

Why Loud Quit Threats Stay and Silent Workers Actually Leave

Applying decision‑theory and game‑theoretic models, the article explains why employees who loudly threaten to quit often stay, while silent workers quietly prepare to leave, describing utility comparisons, a complaint‑as‑pressure‑release mechanism, cheap‑talk signaling, and two stable workplace equilibria with practical implications for observers, managers, and individuals.

Game TheoryPsychologydecision theory

0 likes · 8 min read

Why Loud Quit Threats Stay and Silent Workers Actually Leave

Model Perspective

Mar 31, 2026 · Industry Insights

Why Campus Dating Apps Thrive: The Real Power Behind Algorithmic Matching

The SJTU Date platform demonstrates that algorithmic matching succeeds not because of superior prediction but by fulfilling a genuine demand, reducing social initiation costs, and offering users autonomy through a transparent, content‑based filtering system, while highlighting the limits of such algorithms in predicting long‑term compatibility.

algorithmic matchingassignment problemcontent-based filtering

0 likes · 9 min read

Why Campus Dating Apps Thrive: The Real Power Behind Algorithmic Matching

Model Perspective

Oct 13, 2025 · Fundamentals

Timing the Harvest: The Optimal Stopping Theory Behind a Classic Chinese Poem

Using the Tang poem 'When the flower blooms, seize it' as a metaphor, this article formulates the optimal stopping problem with Gaussian value curves, survival probabilities, discounting, risk attitudes, Bayesian learning, and exploration‑exploitation trade‑offs, revealing when to act before the perfect moment fades.

Optimal Stoppingbayesian learningdecision theory

0 likes · 12 min read

Timing the Harvest: The Optimal Stopping Theory Behind a Classic Chinese Poem

Model Perspective

Jul 23, 2025 · Operations

Behavioral Operations Research: Bridging Decision Theory and Human Psychology

The lecture explores how integrating behavioral economics into traditional operations research creates more realistic decision models, illustrated by inventory control and newsvendor experiments that reveal order inflation and the pull‑to‑center effect in practice.

Operations Managementbehavioral economicsbehavioral operations research

0 likes · 5 min read

Behavioral Operations Research: Bridging Decision Theory and Human Psychology

Model Perspective

Apr 22, 2025 · Artificial Intelligence

What Are Herbert Simon’s Four Decision-Making Models and Why They Matter

The article reviews Herbert Simon’s four influential decision‑making models—Subjective Expected Utility, Behavioral, Intuitive, and Darwinian—explaining their key features, applications, and limitations, and shows how they illuminate rational and adaptive choices in economics, psychology, and organizational behavior.

Bounded RationalityDarwinian ModelHerbert Simon

0 likes · 9 min read

What Are Herbert Simon’s Four Decision-Making Models and Why They Matter

Model Perspective

Mar 21, 2024 · Fundamentals

How the “Maximum Regret Principle” Guides Decision‑Making: A Mathematical Model Explained

The article introduces Zhang Ruimin’s “maximum regret principle,” explains its mathematical formulation using regret matrices and utility functions, and demonstrates its application through a concrete investment decision example that shows how minimizing the worst‑case regret leads to robust choices.

Business strategydecision theorymathematical modeling

0 likes · 5 min read

How the “Maximum Regret Principle” Guides Decision‑Making: A Mathematical Model Explained

Model Perspective

Jan 6, 2023 · Fundamentals

When to Stop Searching? Unveiling the 37% Rule with Simulations

This article explores the classic optimal‑stopping (secretary) problem through a philosophical story, mathematical analysis, Python simulations, and a proof that the best strategy is to reject roughly the first 37 % of candidates, yielding about a 40 % chance of selecting the optimal option.

37% ruleOptimal Stoppingdecision theory

0 likes · 11 min read

When to Stop Searching? Unveiling the 37% Rule with Simulations

Model Perspective

Jul 11, 2022 · Operations

Deterministic vs. Stochastic Decisions: Mastering Time Value of Money Calculations

The article explains the distinction between deterministic and stochastic decision-making, outlines common operations‑research methods such as linear and nonlinear programming, and details cash‑flow concepts and the mathematical formulas for compound interest, present and future values, annuities, and capital recovery and storage factors.

Operations Researchcash flowdecision theory

0 likes · 6 min read

Deterministic vs. Stochastic Decisions: Mastering Time Value of Money Calculations