Arlington, TX
United States
University of Texas at Arlington
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Trust, trustworthiness, cheap talk, asymmetric forecast information, wholesale price contract, behavioral economics, experimental economics
Demand Modeling, User-Generated Content, Two-Sided Markets
demand modeling, user-generated content, online marketing, two-sided markets
information aggregation, forecasts, information markets
Newsvendor Game, Face effect, Facial Attractiveness, Experimental economics, Game theory, Altruism, Fairness
Newsvendor Game, Face effect, Facial Attractiveness, Experimental Economics, Altruism, Fairness
Behavioral Operations Management, Behavioral Engineering, Supply Chain Contracts, Threshold, Bounded Rationality, Individual Heterogeneity
behavioral operations; operations and marketing interface; sales effort; compensation contract; fairness; quantal response equilibrium
Viral Marketing, selection bias, instrumental variables
behavioral operations, experiments, complexity, newsvendor
inventory sharing, supply chain, quantal response equilibrium, behavioral operations, experiments
Information Security, Behavioral Economics Experiments, Game Theory, Quantal Response Equilibrium, Benefit Appeals, Normative Appeals, Descriptive Norms
multidimensional procurement auction, all-pay quality spending, loss aversion, percentage reimbursement, flat reimbursement
information markets, public information, experimental economics, mechanism design
Strategic Disposal, Strategic Inventory, Anchoring, Overconfidence, Bounded Rationality, Economic Experiments
Economic Order Quantity, Inventory Management, Behavioral Operations Management, Learning, Reinforcement, Probabilistic Choice
Behavioral Supply Chain Management, Human Judgment and Decision-Making, Trust and Honesty, Cooperation, Experimental Study
Large Language Models, Experiment, QRE, Newsvendor Problem, Decision Biases
Social Bias, Group Identity, Artificial Intelligence (AI), Trust and Trustworthiness
Artificial intelligence; trust; trustworthiness; decision support system, interactive learning