Skip to main content
Log in

Downstream Information Leaking and Information Sharing Between Partially Informed Retailers

  • Published:
Journal of Industry, Competition and Trade Aims and scope Submit manuscript

Abstract

Retailers benefit under certain conditions from horizontal information sharing, sharing information with competing retailers. However, these benefits could be hindered by the mediation of the manufacturer. Information leaking occurs when the manufacturer filters information from one retailer to the other. We focus on analyzing the impact of horizontal information sharing and information leaking on the profits of the manufacturer and retailers. We develop an analytical model with partial and asymmetric demand signals of customers’ valuation. Three scenarios are revised: no information sharing and no information leaking, information sharing, and information leaking. The originality of this study is the use of a demand process with distribution uncertainty, which imitates the information conditions of retailers who join a new market or start selling new products. These retailers own partial information but cannot determine if they are in a better information position than the other retailer. The results indicate that horizontal information sharing increases profits for the retailer with a higher demand signal, but it does not benefit the retailer with a lower demand signal. Additionally, retailers encounter their least preferred scenario if they do not agree to share information horizontally because the manufacturer will always respond by leaking information from the retailer with a higher demand signal to the other retailer. Managers of competing firms facing ambiguity about their demand information position should share information to benefit from a better demand estimation, or at least, prevent the manufacturer to use information leaking to his private benefit.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

Notes

  1. Lighting Science Group v. Koninklijke Philips, 624 F. Supp. 2d 1174 (E.D. Cal. 2008)

  2. Bruno Int’l Ltd. v. Vicor Corp., CIVIL ACTION NO. 14-10037-DPW (D. Mass. Sep. 16, 2015)

  3. Marjam Supply Co. v. Firestone Bldg. Prods. Co., Civ. No. 11-7119 (WJM) (D.N.J. Nov. 30, 2012)

References

  • Anand KS, Goyal M (2009) Strategic information management under leakage in a supply chain. Manag Sci 55(3):438–452

    Google Scholar 

  • Bernheim BD, Whinston MD (1985) Common marketing agency as a device for facilitating collusion. RAND J Econ 16(2):269–281

    Google Scholar 

  • Bouncken RB, Fredrich V, Ritala P, Kraus S (2018) Coopetition in new product development alliances: advantages and tensions for incremental and radical innovation. Br J Manag 29(3):391–410

    Google Scholar 

  • Cachon GP, Lariviere MA (2001) Contracting to assure supply: how to share demand forecasts in a supply chain. Manag Sci 47(5):629–646

    Google Scholar 

  • Camerer CF, Weber M (1992) Recent developments in modeling preferences: uncertainty and ambiguity. J Risk Uncertain 5(4):325–370

    Google Scholar 

  • Chen Z, Tian C, Zhang D (2019) Supply chains competition with vertical and horizontal information sharing. Eur J Ind Eng 13(1):29–53

    Google Scholar 

  • Clarke RN (1983) Collusion and the incentives for information sharing. Bell J Econ 14(2):383–394

    Google Scholar 

  • Dukes A, Gal-Or E, Geylani T (2011) Who benefits from bilateral information exchange in a retail channel? Econ Lett 112(2):210–212

    Google Scholar 

  • Fang D, Ren Q (2019) Optimal decision in a dual-channel supply chain under potential information leakage. Symmetry 11(3):308

    Google Scholar 

  • Flight Airline Business (2019) Revenue generated by SkyTeam and Star Alliance from 2015 to 2017 (in billion U.S. dollars). www.statista.com/statistics/738541/sky-team-revenue/. Accessed 1 Feb 2019

  • Gal-Or E (1985) Information sharing in oligopoly. Econometrica 53(2):329–343

    Google Scholar 

  • Gal-Or E (1986) Information transmission—Cournot and Bertrand equilibria. Rev Econ Stud 53(1):85–92

    Google Scholar 

  • Gal-Or E, Gal-Or M, Dukes A (2007) Optimal information revelation in procurement schemes. RAND J Econ 38(2):400–418

    Google Scholar 

  • Gal-Or E, Geylani T, Dukes AJ (2008) Information sharing in a channel with partially informed retailers. Mark Sci 27(4):642–658

    Google Scholar 

  • Guo L, Iyer G (2010) Information acquisition and sharing in a vertical relationship. Mark Sci 29(3):483–506

    Google Scholar 

  • Guo L, Li T, Zhang H (2014) Strategic information sharing in competing channels. Prod Oper Manag 23(10):1719–1731

    Google Scholar 

  • Hao Z, Jiang L, Wang W (2018) Impacts of sequential acquisition, market competition mode, and confidentiality on information flow. Nav Res Logist 65(2):135–159

    Google Scholar 

  • He C, Marklund J, Vossen T (2008) Vertical information sharing in a volatile market. Mark Sci 27(3):513–530

    Google Scholar 

  • Jain A, Sohoni M (2015) Should firms conceal information when dealing with common suppliers? Nav Res Logist 62(1):1–15

    Google Scholar 

  • Jain A, Seshadri S, Sohoni M (2011) Differential pricing for information sharing under competition. Prod Oper Manag 20(2):235–252

    Google Scholar 

  • Jiang L, Hao Z (2016) Incentive-driven information dissemination in two-tier supply chains. Manuf Serv Oper Manag 18(3):393–413

    Google Scholar 

  • Kaminsky PM, Kaya O (2009) Combined make-to-order/make-to-stock supply chains. IIE Trans 41(2):103–119

    Google Scholar 

  • Kong G, Rajagopalan S, Zhang H (2013) Revenue sharing and information leakage in a supply chain. Manag Sci 59(3):556–572

    Google Scholar 

  • Li L (1985) Cournot oligopoly with information sharing. RAND J Econ 16(4):521–536

    Google Scholar 

  • Li L (2002) Information sharing in a supply chain with horizontal competition. Manag Sci 48(9):1196–1212

    Google Scholar 

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

    Google Scholar 

  • Mukhopadhyay SK, Yue X, Zhu X (2011) A Stackelberg model of pricing of complementary goods under information asymmetry. Int J Prod Econ 134(2):424–433

    Google Scholar 

  • Nickerson RS (2001) The projective way of knowing: a useful heuristic that sometimes misleads. Curr Dir Psychol Sci 10(5):168–172

    Google Scholar 

  • Novshek W, Sonnenschein H (1982) Fulfilled expectations Cournot duopoly with information acquisition and release. Bell J Econ 13(1):214–218

    Google Scholar 

  • Özer Ö, Wei W (2006) Strategic commitments for an optimal capacity decision under asymmetric forecast information. Manag Sci 52(8):1238–1257

    Google Scholar 

  • Rached M, Bahroun Z, Campagne J-P (2016) Decentralised decision-making with information sharing vs. centralised decision-making in supply chains. Int J Prod Res 54(24):7274–7295

    Google Scholar 

  • Raith M (1996) A general model of information sharing in oligopoly. J Econ Theory 71(1):260–288

    Google Scholar 

  • Shamir N (2012) Strategic information sharing between competing retailers in a supply chain with endogenous wholesale price. Int J Prod Econ 136(2):352–365

    Google Scholar 

  • Shamir N (2017) Cartel formation through strategic information leakage in a distribution channel. Mark Sci 36(1):70–88

    Google Scholar 

  • Shapiro C (1986) Exchange of cost information in oligopoly. Rev Econ Stud 53(3):433–446

    Google Scholar 

  • Villas-Boas JM (1994) Sleeping with the enemy: should competitors share the same advertising agency? Mark Sci 13(2):190–202

    Google Scholar 

  • Vives X (1984) Duopoly information equilibrium: Cournot and Bertrand. J Econ Theory 34(1):71–94

    Google Scholar 

  • Wang Y, Tang W, Zhao R (2018) Information sharing and information concealment in the presence of a dominant retailer. Comput Ind Eng 121:36–50

    Google Scholar 

  • Wang Y, Tang W, Zhao R (2019) Supplier’s strategy: align with the dominant entrant retailer or the vulnerable incumbent retailer? Soft Comput 23(10):3481–3500

    Google Scholar 

  • Wu J, Jiang F, He Y (2018) Pricing and horizontal information sharing in a supply chain with capacity constraint. Oper Res Lett 46(4):402–408

    Google Scholar 

  • Zhang H (2002) Vertical information exchange in a supply chain with duopoly retailers. Prod Oper Manag 11(4):531–546

    Google Scholar 

  • Zhao D, Chen M, Gong Y (2019) Strategic information sharing under revenue-sharing contract: explicit vs. tacit collusion in retailers. Comput Ind Eng 131:99–114

    Google Scholar 

Download references

Funding

The Ministry of Science Technology of the Republic of China, Taiwan, financially supported this research under project MOST 107-2410-H-006-036.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wei-Shiun Chang.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Appendices

Appendix

Proof of Lemma 1

In the no sharing no leaking scenario, we focus on the profit of retailer U in Eq. (4) to find the solutions of the inequality

$$ {\pi_{R1}}^{\ast }=\frac{1}{36b}\left(-4{a_{RU}}^2+8{a}_{RU}{a}_{RO}-4{a}_{RO}c+{c}^2\right)>0. $$

Since b > 0, we multiply both sides of the inequality times 36b and divide by 4,

$$ -{a_{RU}}^2+2{a}_{RU}{a}_{RO}-{a}_{RO}c+\frac{c^2}{4}>0. $$

We factorize the expression,

$$ \left[\frac{c}{2}-{a}_{RU}\right]\left[\frac{c}{2}+{a}_{RU}\right]-2{a}_{RO}\left[\frac{c}{2}-{a}_{RU}\right]>0, $$
$$ \left[\frac{c}{2}-{a}_{RU}\right]\left[\frac{c}{2}+{a}_{RU}-2{a}_{RO}\right]>0. $$

We deduce the solutions from the two factors,

$$ 0<\frac{c}{2}<{a}_{RU}<2{a}_{RO}-\frac{c}{2}. $$

For the profit of retailer O,

$$ 0<\frac{c}{2}<{a}_{RO}<2{a}_{RU}-\frac{c}{2}. $$

Assuming that retailer O is the overestimating retailer aRU < aRO,

$$ 0<\frac{c}{2}<{a}_{RU}<{a}_{RO}<2{a}_{RU}-\frac{c}{2}, $$
$$ 0<c<{a}_{RU}+\frac{c}{2}<{a}_{RO}+\frac{c}{2}<2{a}_{RU}. $$

In the information sharing scenario, this lemma also guarantees the positive profit of the manufacturer.

$$ {\pi_M^S}^{\ast }=\frac{1}{3b}\left({a}_{RU}+{a}_{RO}\right)\left({a}_{RU}+{a}_{RO}-c\right), $$

\( {\pi_M^S}^{\ast }>0 \) if c < aRU + aRO.

The lemma establishes that the production cost c is less than two times the demand information of the underestimating retailer aRU. Therefore, c < 2aRU < aRU + aRO guarantees\( {\pi_M^S}^{\ast }>0 \).

Proof of Theorem 1

We equate the two profits of retailers in Eqs. (4) and (5),

$$ {\pi_{RU}}^{\ast }={\pi_{RO}}^{\ast } $$
$$ \frac{1}{36b}\left(-4{a_{RU}}^2+8{a}_{RU}{a}_{RO}-4{a}_{RO}c+{c}^2\right)= $$
$$ \frac{1}{36b}\left(-4{a_{RO}}^2+8{a}_{RU}{a}_{RO}-4{a}_{RU}c+{c}^2\right), $$

We factorize to find solutions,

$$ {a_{RO}}^2-{a_{RU}}^2+{a}_{RU}c-{a}_{RO}c=0, $$
$$ \left({a}_{RO}-{a}_{RU}\right)\left({a}_{RU}+{a}_{RO}\right)-c\left({a}_{RO}-{a}_{RU}\right)=0, $$
$$ \left({a}_{RO}-{a}_{RU}\right)\left({a}_{RU}+{a}_{RO}-c\right)=0. $$

Following Lemma 1, (aRU + aRO − c) is always positive. Therefore,

πRU > πRO, if aRO > aRU,

Proof of Theorem 2

Assuming that retailer O is the overestimating retailer; we compare the profit of retailer O in the no sharing no leaking and the information sharing scenario,

$$ {\pi_{RO}^S}^{\ast }-{\pi_{RO}^{NS}}^{\ast }=0, $$
$$ \frac{1}{36b}{\left({a}_{RU}+{a}_{RO}-c\right)}^2-\frac{1}{36b}\left(-4{a_{RO}}^2+8{a}_{RU}{a}_{RO}-4{a}_{RU}c+{c}^2\right)=0, $$
$$ \left({a_{RU}}^2+{a_{RO}}^2+{c}^2+2{a}_{RU}{a}_{RO}-2{a}_{RU}c-2{a}_{RO}c\right)- $$
$$ \left(-4{a_{RO}}^2+8{a}_{RU}{a}_{RO}-4{a}_{RU}c+{c}^2\right)=0, $$
$$ \left({a_{RO}}^2-2{a}_{RU}{a}_{RO}+{a_{RU}}^2\right)+\left(4{a_{RO}}^2-4{a}_{RU}{a}_{RO}\right)-2c\left({a}_{RO}-{a}_{RU}\right)=0, $$
$$ \left({a}_{RO}-{a}_{RU}\right)\left(5{a}_{RO}-{a}_{RU}-2c\right)=0. $$

The factor (aRO − aRU) is positive because retailer O is the overestimating retailer. The factor (5aRO − aRU − 2c) is always positive using Lemma 1, this is\( 0<\frac{a_{RU}+2c}{5}<{a}_{RU}+\frac{c}{2}<{a}_{RO}+\frac{c}{2}<2{a}_{RU} \). Consequently, the overestimating retailer earns higher profit in the information sharing scenario than in the no sharing no leaking scenario\( {\pi_{RO}^S}^{\ast }>{\pi_{RO}^{NS}}^{\ast } \).

Proof of Theorem 3

Assuming that the information is leaked from the overestimating retailer O to the underestimating retailer U, we compare the profits of both retailers in the information leaking scenario,

$$ {\pi_{RU}^L}^{\ast }-{\pi_{RO}^L}^{\ast }=0, $$
$$ \left(2{a_{RU}}^2+{c}^2-3c{a}_{RU}-c{a}_{\mathrm{R}O}+2{a}_{RU}{a}_{RO}\right)+ $$
$$ \left(6{a_{RO}}^2-{c}^2+5{a}_{RU}c-{a}_{RO}c-10{a}_{RU}{a}_{RO}\right)=0, $$
$$ 2\left({a}_{RU}-{a}_{RO}\right)\left({a}_{RU}-3{a}_{RO}+c\right)=0. $$

The factor (aRU − 3aRO + c) is always negative using Lemma 1. The factor (aRU − aRO) is negative because retailer O is the overestimating retailer aRO < aRU. Consequently, the underestimating retailer earns higher profit than the overestimating retailer in the information leaking scenario\( {\pi_{RU}^L}^{\ast }>{\pi_{RO}^L}^{\ast } \).

Proof of Theorem 4

Assuming that the information is leaked from the overestimating retailer O to the underestimating retailer U, we compare the profit of retailer O in the no sharing no leaking and the information leaking scenario,

$$ {\pi_{RO}^{NS}}^{\ast }-{\pi_{RO}^L}^{\ast }=0, $$
$$ \frac{1}{36b}\left(-4{a_{RO}}^2+8{a}_{RU}{a}_{RO}-4{a}_{RU}c+{c}^2\right)- $$
$$ \frac{1}{36b}\left(-6{a_{RO}}^2+{c}^2-5{a}_{RU}c+{a}_{RO}c+10{a}_{RU}{a}_{RO}\right)=0 $$
$$ \left(-4{a_{RO}}^2+8{a}_{RU}{a}_{RO}-4{a}_{RU}c+{c}^2\right)+ $$
$$ \left(6{a_{RO}}^2-{c}^2+5{a}_{RU}c-{a}_{RO}c+10{a}_{RU}{a}_{RO}\right)=0, $$
$$ 2{a}_{RO}\left({a}_{RO}-{a}_{RU}\right)-c\left({a}_{RO}-{a}_{RU}\right)=0, $$
$$ \left({a}_{RO}-{a}_{RU}\right)\left(2{a}_{RO}-c\right)=0. $$

The factor (2aRO − c) is always positive using Lemma 1. The factor (aRO − aRU) is positive since retailer O has a higher level of demand information aRO > aRU. Consequently, retailer O is better off in the no sharing no leaking information scenario than in the scenario in which her information is leaked\( {\pi_{RO}^{NS}}^{\ast }>{\pi_{RO}^L}^{\ast } \).

Proof of Theorem 5

Assuming that the information is leaked from the overestimating retailer O to underestimating retailer U, we compare the profit of retailer O in the information sharing and the information leaking scenario,

$$ {\pi_{RO}^S}^{\ast }-{\pi_{RO}^L}^{\ast }=0, $$
$$ \frac{1}{36b}{\left({a}_{RU}+{a}_{RO}-c\right)}^2- $$
$$ \frac{1}{36b}\left(-6{a_{RO}}^2+{c}^2-5{a}_{RU}c+{a}_{RO}c+10{a}_{RU}{a}_{RO}\right)=0, $$
$$ {a_{RU}}^2-8{a}_{RU}{a}_{RO}+7{a_{RO}}^2+3{a}_{RU}c-3{a}_{RO}c=0, $$
$$ \left({a}_{RU}-{a}_{RO}\right)\left({a}_{RU}-7{a}_{RO}+3c\right)=0. $$

The factor (aRU − 7aRO + 3c) is always negative using Lemma 1. The factor (aRU − aRO) is negative since retailer O is the overestimating retailer aRO > aRU.Consequently, retailer O is better off in the information sharing than in the scenario in which her information is leaked\( {\pi_{RO}^S}^{\ast }>{\pi_{RO}^L}^{\ast } \).

Proof of Theorem 6

Assuming that the information is leaked from the overestimating retailer O to underestimating retailer U, we compare the profit of manufacturer in the information leaking and the no sharing no leaking scenario,

$$ {\pi_M^L}^{\ast }-{\pi_M^{NS}}^{\ast }=0, $$
$$ \frac{1}{12b}\left[{\left({a}_{RU}+{a}_{RO}\right)}^2+4{a_{RO}}^2-2c\left(3{a}_{RO}+{a}_{RU}-c\right)\right]- $$
$$ \frac{1}{3b}\left[{\left({a}_{RU}-\frac{c}{2}\right)}^2+{\left({a}_{RO}-\frac{c}{2}\right)}^2\right]=0, $$
$$ \frac{{\left({a}_{RU}+{a}_{RO}\right)}^2-4{a_{RU}}^2-2c\left({a}_{RO}-{a}_{RU}\right)}{12b}=0 $$

Evaluating this expression in the case where aRO = aRU, the value is exactly zero. Since aRO > aRU from Lemma 1, this expression will always be greater than zero. Consequently, \( {\pi_M^L}^{\ast }>{\pi_M^{NS}}^{\ast }. \)

Proof of Theorem 7

We compare the profit of manufacturer in the no sharing no leaking scenario and information sharing scenario,

$$ {\pi_M^{NS}}^{\ast }-{\pi_M^S}^{\ast }=0, $$
$$ \frac{1}{3b}\left[{\left({a}_{RU}-\frac{c}{2}\right)}^2+{\left({a}_{RO}-\frac{c}{2}\right)}^2\right]-\frac{1}{6b}{\left({a}_{RU}+{a}_{RO}-c\right)}^2= $$
$$ \frac{{\left({a}_{RO}-{a}_{RU}\right)}^2+2c\left({a}_{RO}+{a}_{RU}\right)}{6b}=0 $$

This expression is always greater than zero. Consequently, \( {\pi_M^{NS}}^{\ast }>{\pi_M^S}^{\ast }. \)

Sensibility Analysis Appendix

Table 5 Results of sensibility analysis changing uncertainty

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Chang, WS., Sanchez-Loor, D.A. Downstream Information Leaking and Information Sharing Between Partially Informed Retailers. J Ind Compet Trade 20, 733–760 (2020). https://doi.org/10.1007/s10842-020-00336-2

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10842-020-00336-2

Keywords

JEL Codes

Navigation