Short answer

Manufacturers should carefully evaluate the information sharing and sales effort dynamics with their retail partners to decide whether to offer products early or late in the selling season, as this choice has significant financial implications.

Field
Commercial Production
Source
Manufacturing & Service Operations Management (2006)
Method
Game Theory / Mathematical Modelling
Evidence
Strong effect

A manufacturer's optimal timing for selling to a retailer is significantly influenced by the level of information asymmetry and the retailer's sales effort, with late sales often preferred under symmetric information and no pre-season effort. This commercial production research insight is drawn from a 2006 study published in Manufacturing & Service Operations Management. Using Game theory / mathematical modelling, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Manufacturers should carefully evaluate the information sharing and sales effort dynamics with their retail partners to decide whether to offer products early or late in the selling season, as this choice has significant financial implications.

Study
Commercial ProductionHigh ImpactStrong effect

Early vs. Late Sales Timing: Manufacturer Preference Driven by Information Asymmetry and Retailer Effort

A manufacturer's optimal timing for selling to a retailer is significantly influenced by the level of information asymmetry and the retailer's sales effort, with late sales often preferred under symmetric information and no pre-season effort.

Manufacturing & Service Operations Management · 2006

01

Key Findings

  • 01Under symmetric information, no retailer sales effort, and a linear price-quantity contract, manufacturers prefer to sell late.
  • 02This preference for late selling persists even when the retailer exerts sales effort during the selling season.
  • 03Manufacturers may prefer early selling if the retailer exerts sales effort prior to the selling season or possesses superior market demand information.
  • 04Retailer information advantage can negatively impact the manufacturer and the overall system.
02

Application

Design takeaway

Manufacturers should carefully evaluate the information sharing and sales effort dynamics with their retail partners to decide whether to offer products early or late in the selling season, as this choice has significant financial implications.

How to apply

When designing a new product launch strategy or negotiating terms with a retailer, analyze the information flow and the retailer's planned promotional activities to determine the most advantageous sales timing.

Project actions

  • 01Consider how information is shared between different parties in your design project.
  • 02Analyze the impact of different timing strategies on the overall success of a product or service.
03

Method & Evidence

AimTo determine the conditions under which a manufacturer will prefer to sell to a retailer early or late in the selling season, considering factors like information asymmetry, retailer sales effort, and contract type.
MethodGame Theory / Mathematical Modelling
ProcedureThe study develops and analyzes mathematical models representing the interactions between a manufacturer and a retailer, exploring different scenarios of information availability and retailer behavior to derive optimal strategies.
ContextSupply chain management, manufacturing and retail operations

Variables

IV["Information asymmetry (symmetric vs. asymmetric)","Retailer sales effort (timing and intensity)","Contract type (e.g., linear price-quantity)"]
DV["Manufacturer's preference for sale timing (early vs. late)","Manufacturer's profit","Retailer's profit","Total system profit"]
CV["Demand uncertainty","Retailer's cost structure","Manufacturer's cost structure"]
04

Strengths & Limitations

Strengths

  • +Provides a clear analytical framework for understanding complex supply chain decisions.
  • +Identifies specific conditions that drive manufacturer preferences for sale timing.

Limitations

Real-world supply chains involve many more variables than can be modeled, such as competitor actions, transportation issues, and fluctuating consumer demand, which this study simplifies.

Reliability & validity

The validity of the findings relies on the accuracy of the mathematical models and the assumptions made about the decision-making processes of the manufacturer and retailer. Reliability would be assessed by whether the model consistently produces the same predictions under identical conditions.

Think critically

How might the introduction of a 'buy-back' contract alter the manufacturer's preference for early versus late selling, especially in the presence of information asymmetry?

05

Design Principles

"Supply chain timing decisions should be dynamically adjusted based on the information asymmetry and the nature of downstream sales efforts."

Understanding these dynamics is crucial for optimizing supply chain efficiency and profitability. It informs contract design and negotiation strategies, helping to align incentives between manufacturers and retailers.

06

What This Means for Your Design

This research shows that when a company makes something and sells it to a shop, deciding *when* to sell it to the shop is important. If everyone knows the same amount about how well the product will sell, selling it closer to when customers buy it is usually better for the maker. But if the shop knows more about what customers want, or if the shop works hard to promote the product before it's even available, the maker might want to sell it to the shop earlier.

How to use in your project

  • 1.Use this research to justify your chosen sales or distribution timing strategy in your design project, explaining how it addresses information asymmetry or retailer effort.
  • 2.Reference the findings to support your analysis of the supply chain dynamics within your design context.
07

Add to My Project

08

Quick Cite

Paragraph starter

The decision of when to sell to a retailer is a critical strategic choice for manufacturers. Research by Taylor (2006) indicates that under conditions of symmetric information and no pre-season retailer effort, a manufacturer typically benefits from selling late. However, this preference can shift towards early selling if the retailer possesses superior market knowledge or engages in pre-season promotional activities, highlighting the significant impact of information asymmetry and retailer engagement on optimal supply chain timing.

09

Source

Manufacturing & Service Operations Management

Sale Timing in a Supply Chain: When to Sell to the Retailer

journal · 2006

View source

Questions About This Research

What does the research say about early vs. late sales timing: manufacturer preference driven by information asymmetry and retailer effort?
Manufacturers should carefully evaluate the information sharing and sales effort dynamics with their retail partners to decide whether to offer products early or late in the selling season, as this choice has significant financial implications. Evidence: Manufacturing & Service Operations Management (2006).
Why does "Early vs. Late Sales Timing: Manufacturer Preference Driven by Information Asymmetry and Retailer Effort" matter for design?
Understanding these dynamics is crucial for optimizing supply chain efficiency and profitability. It informs contract design and negotiation strategies, helping to align incentives between manufacturers and retailers.
How can designers apply this research?
Manufacturers should carefully evaluate the information sharing and sales effort dynamics with their retail partners to decide whether to offer products early or late in the selling season, as this choice has significant financial implications.
What were the main findings?
Under symmetric information, no retailer sales effort, and a linear price-quantity contract, manufacturers prefer to sell late.. This preference for late selling persists even when the retailer exerts sales effort during the selling season.. Manufacturers may prefer early selling if the retailer exerts sales effort prior to the selling season or possesses superior market demand information.. Retailer information advantage can negatively impact the manufacturer and the overall system.
What research method was used?
Game Theory / Mathematical Modelling.
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2006 journal from Manufacturing & Service Operations Management.
What should I do differently in my next project?
When designing a new product launch strategy or negotiating terms with a retailer, analyze the information flow and the retailer's planned promotional activities to determine the most advantageous sales timing.
What are the limitations?
The models may simplify real-world complexities such as multiple retailers, complex contract structures, or dynamic market shifts beyond the scope of the study.