Information Sharing in a Supply Chain with Horizontal Competition
Management Science
A Multi-Echelon Inventory System with Information Exchange
Management Science
Models for Supply Chains in E-Business
Management Science
Secure and useful data sharing
Decision Support Systems
Simple Relational Contracts to Motivate Capacity Investment: Price Only vs. Price and Quantity
Manufacturing & Service Operations Management
Procuring Fast Delivery: Sole Sourcing with Information Asymmetry
Management Science
Sale Timing in a Supply Chain: When to Sell to the Retailer
Manufacturing & Service Operations Management
Relationships Among Three Assumptions in Revenue Management
Operations Research
Collaborative planning, forecasting and replenishment: demand planning in supply chain management
International Journal of Information Technology and Management
Supply chain coordination: A game-theory approach
Engineering Applications of Artificial Intelligence
An XML-based modular system analysis and design for supply chain simulation
Robotics and Computer-Integrated Manufacturing
Strategic Information Management Under Leakage in a Supply Chain
Management Science
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Risk aversion and information asymmetry in the pricing of capacity-on-demand and pay-per-use computing products
Loss of coordination in a competitive supply chain with pre-orders and endogenous pricing
Proceedings of the Behavioral and Quantitative Game Theory: Conference on Future Directions
Does a Manufacturer Benefit from Selling to a Better-Forecasting Retailer?
Management Science
Computers and Industrial Engineering
Asymmetric Information and Economies of Scale in Service Contracting
Manufacturing & Service Operations Management
Risk hedging in storage grid markets: Do options add value to forwards?
ACM Transactions on Management Information Systems (TMIS)
Trust in Forecast Information Sharing
Management Science
Coordination Strategies in an SaaS Supply Chain
Journal of Management Information Systems
Demand Information Sharing in Heterogeneous IT Services Environments
Journal of Management Information Systems
The Value of Collaborative Forecasting in Supply Chains
Manufacturing & Service Operations Management
Relative Industry Concentration and Customer-Driven IT Spillovers
Information Systems Research
Supply-Side Story: Risks, Guarantees, Competition, and Information Asymmetry
Management Science
An efficient algorithm for stochastic capacity portfolio planning problems
Journal of Intelligent Manufacturing
An evaluation of an option contract in semiconductor supply chains
Proceedings of the Winter Simulation Conference
On coordination under random yield and random demand
Expert Systems with Applications: An International Journal
Impact of the shape of demand distribution in decision models for operations management
Computers in Industry
Product Line Design with Deliberation Costs: A Two-Stage Process
Decision Analysis
| Hi-index | 0.01 |
Forecast sharing is studied in a supply chain with a manufacturer that faces stochastic demand for a single product and a supplier that is the sole source for a critical component. The following sequence of events occurs: the manufacturer provides her initial forecast to the supplier along with a contract, the supplier constructs capacity (if he accepts the contract), the manufacturer receives an updated forecast and submits a final order. Two contract compliance regimes are considered. If the supplier accepts the contract under forced compliance then he has little flexibility with respect to his capacity choice; under voluntary compliance, however, he maintains substantial flexibility. Optimal supply chain performance requires the manufacturer to share her initial forecast truthfully, but she has an incentive to inflate her forecast to induce the supplier to build more capacity. The supplier is aware of this bias, and so may not trust the manufacturer's forecast, harming supply chain performance. We study contracts that allow the supply chain to share demand forecasts credibly under either compliance regime.