Timid choices and bold forecasts: a cognitive perspective on risk taking
Management Science
Boom, bust, and failures to learn in experimental markets
Management Science
Information distortion in a supply chain: the bullwhip effect
Management Science - Special issue on frontier research in manufacturing and logistics
Value of Information in Capacitated Supply Chains
Management Science
Managing Supply Chain Demand Variability with Scheduled Ordering Policies
Management Science
Decentralized supply chains subject to information delays
Management Science
A Single-Item Inventory Model for a Nonstationary Demand Process
Manufacturing & Service Operations Management
The Value of Information Sharing in a Two-Level Supply Chain
Management Science
Supply Chain Inventory Management and the Value of Shared Information
Management Science
Disruptions in information flow: a revenue costing supply chain dilemma
Journal of Theoretical and Applied Electronic Commerce Research
Anchor Selection and Group Dynamics in Newsvendor Decisions---A Note
Decision Analysis
Is there a tacit acceptance of student samples in marketing and management research?
International Journal of Data Analysis Techniques and Strategies
Optimisation of the beer distribution game with complex customer demand patterns
CEC'09 Proceedings of the Eleventh conference on Congress on Evolutionary Computation
On ordering adjustment policy under rolling forecast in supply chain planning
Computers and Industrial Engineering
Trust in Forecast Information Sharing
Management Science
Willingness to share information in a supply chain: A partnership-data-process perspective
Information and Management
Information Transmission and the Bullwhip Effect: An Empirical Investigation
Management Science
Bullwhip Effect Measurement and Its Implications
Operations Research
A grey approach for forecasting in a supply chain during intermittentdisruptions
Engineering Applications of Artificial Intelligence
Biased Judgment in Censored Environments
Management Science
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The tendency of orders to increase in variability as one moves up a supply chain is commonly known as the bullwhip effect. We study this phenomenon from a behavioral perspective in the context of a simple, serial, supply chain subject to information lags and stochastic demand. We conduct two experiments on two different sets of participants. In the first, we find the bullwhip effect still exists when normal operational causes (e.g., batching, price fluctuations, demand estimation, etc.) are removed. The persistence of the bullwhip effect is explained to some extent by evidence that decision makers consistently underweight the supply line when making order decisions. In the second experiment, we find that the bullwhip, and the underlying tendency of underweighting, remains when information on inventory levels is shared. However, we observe that inventory information helps somewhat to alleviate the bullwhip effect by helping upstream chain members better anticipate and prepare for fluctuations in inventory needs downstream. These experimental results support the theoretically suggested notion that upstream chain members stand to gain the most from information-sharing initiatives.