Skip to main content

Sharing Demand Information Under Simple Wholesale Pricing

  • Chapter
  • First Online:
Handbook of Information Exchange in Supply Chain Management

Part of the book series: Springer Series in Supply Chain Management ((SSSCM,volume 5))

Abstract

We investigate a retailer’s incentive in sharing private demand information with a manufacturer under a linear wholesale price contract. We present a summary of the analysis and the main results of several existing models for the following manufacturer-retailer relationships: one-to-one, two competing chains, one-to-many, and two-to-one. By synthesizing the major findings of these models, we provide a common framework for understanding the impact of some key drivers on the retailer’s information sharing decision. We also illustrate the basic methodology for analyzing related models.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 99.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 129.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    Specifically, \(\bar{\varPi }_{R} = (a - b)^{2}/16,\) \(\bar{\varPi }_{M} = (a - b)^{2}/8,\) \(\bar{\varPi }= 3(a - b)^{2}/16.\)

  2. 2.

    Specifically, \(\bar{\varPi }_{R} = (a - b)^{2}/[4(2 + c)^{2}]\), \(\bar{\varPi }_{M} = (a - b)^{2}/[4(2 + c)]\), \(\bar{\varPi }= (3 + c)(a - b)^{2}/[4(2 + c)^{2}].\)

  3. 3.

    If the signal Y were perfect, i.e., \(Y =\theta\), we would have \(\mathop{\mathrm{Var}}\nolimits [\theta \vert Y ] = 0\) and \(\lambda = 0\).

  4. 4.

    L M S is the positive value of z satisfying \(4z\left (2 + z\right ) = t\sigma ^{2}(2 + t\sigma ^{2})\), L S is the positive value of z satisfying \((16z + 16z^{2} + 4z^{3})/(3 + z) = t\sigma ^{2}(2 + t\sigma ^{2})\), and \(L^{N} = t\sigma ^{2}(2 + t\sigma ^{2})/(8 + 4t\sigma ^{2} + 2t^{2}\sigma ^{4})\).

  5. 5.

    L M S, L S and L N become infinite if \(t = \infty\).

  6. 6.

    ​​​Specifically, \(\bar{\varPi }_{R} = (a - b)^{2}/[4(2 - c)^{2}]\), \(\bar{\varPi }_{M} = (a - b)^{2}/[4(2 - c)]\), \(\bar{\varPi }= (3 - c)(a - b)^{2}/[4(2 - c)^{2}].\)

  7. 7.

    We can show that, when \(\sigma\) and c i 2 are small relative to a, it is optimal for manufacturer i, with a probability very close to one, to fully meet retailer i’s order.

  8. 8.

    One such setting is when retail competition is intense (β close to one), supply chain j is non-communicative (X j  = N) and has accurate information (large t j ), supply chain i has large production diseconomy (large c i ) and inaccurate information (small t i ).

  9. 9.

    The threshold \(Z_{i}^{X_{j}}\) in Proposition 7 becomes arbitrarily high when t 1 and t 2 increases.

References

  • Beckett J (2012) A CG manufacturer’s guide to retail data gold mines. VMT and CGT White paper

    Google Scholar 

  • Ericson WA (1969) A note on the posterior mean of a population mean. J R Stat Soc 31(2):332–334

    Google Scholar 

  • Ha A, Tong S (2008) Contracting and information sharing under supply chain competition. Manag Sci 54(4):701–715

    Article  Google Scholar 

  • Ha A, Tong S, Zhang H (2011) Sharing imperfect demand information in competing supply chains with production diseconomies. Manag Sci 57(3):566–581

    Article  Google Scholar 

  • Keifer S (2010) Beyond point of sale data: Looking forward, not backwards for demand forecasting. GXS White paper

    Google Scholar 

  • Li L, Zhang H (2002) Supply chain information sharing in a competitive environment. In: Song JS, Yao DD (eds) Supply chain structures: coordination, information and optimization. Kluwer Academic Publishers, Norwell

    Google Scholar 

  • Li L, Zhang H (2008) Confidentiality and information sharing in supply chain coordination. Manag Sci 54(8):1467–1481

    Article  Google Scholar 

  • Li T, Zhang H (2015) Information sharing in a supply chain with a make-to-stock manufacturer. Omega 50:115–125

    Article  Google Scholar 

  • Malueg D, Tsutui S (1996) Duopoly information exchange: The case of unknown slope. Int J Ind Organ 14:119–136

    Article  Google Scholar 

  • O’Marah K (2013) Effective collaboration in trading partner relationships. SCM World research report

    Google Scholar 

  • Shang W, Ha A, Tong S (2016) Information sharing in a supply chain with a common retailer. Manag Sci 62(1):245–263

    Google Scholar 

  • Vives X (1999) Oligopoly pricing. The MIT Press, Cambridge

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Albert Y. Ha .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Ha, A.Y., Zhang, H. (2017). Sharing Demand Information Under Simple Wholesale Pricing. In: Ha, A., Tang, C. (eds) Handbook of Information Exchange in Supply Chain Management. Springer Series in Supply Chain Management, vol 5. Springer, Cham. https://doi.org/10.1007/978-3-319-32441-8_17

Download citation

Publish with us

Policies and ethics