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INFORMS Nashville – 2016

312

TC30

202B-MCC

Supply Chain Channel Management

Sponsored: Manufacturing & Service Oper Mgmt

Sponsored Session

Chair: Guoming Lai, University of Texas at Austin, United States,

guoming.lai@mccombs.utexas.edu

Co-Chair: Abhishek Roy, UT Austin, UT Austin, Austin, TX, 78712,

United States,

abhishek.roy@utexas.edu

1 - Financial Cross-ownership And Information Dissemination In

A Supply Chain

Noam Shamir, Tel-Aviv University, Coller School of Management,

Tel-Aviv, Israel,

nshamir@post.tau.ac.il

, Yossi Aviv

We study the effect of financial cross-ownership on two imperative operational

decisions in a supply-chain with competing retailers and a mutual supplier:

Information acquisition and production level. Financial cross-ownership describes

a situation in which an incumbent retailer holds non-voting stocks in an entrant

retailer. We demonstrate the significant operational effect of this investment tool.

At the production stage, financial cross-ownership results in lower production

level and reduced competition level. However, financial cross-ownership can

result in pro-competitive effects; it facilitates information acquisition, that can

benefit the consumers.

2 - Broader Market Coverage For Innovative Products With

Deliberate Supply Chain Leadership

Hyoduk Shin, UC San Diego Rady School of Management,

hdshin@ucsd.edu,

Vish Krishnan, Junghee Lee,

Oleksiy Mnyshenko

How can we achieve broader market coverage for innovative products, i.e.,

inclusive innovation? Grounded in industrial practice, we show that deliberately

choosing the contract leader and the investor in a multi-tiered supply chain can

have a significant impact on market coverage. We discuss leadership handovers

along the product life cycle.

3 - Manufacturer Rebate Competition In A Supply Chain With A

Common Retailer

Yunjie Wang, Hong Kong University of Science and Technology,

yunjie89@gmail.com

, Albert Y Ha, Weixin Shang

We consider manufacturer rebate competition in a supply chain with two

manufacturers selling substitutable products to a common retailer. We

characterize the manufacturers’ equilibrium rebate decisions and show how they

depend on several key factors such as the fixed cost of a rebate program,

competition intensity, cost effectiveness of rebate and the proportion of rebate-

sensitive consumers in the market. We also consider the case when the retailer

subsidizes the manufacturers to offer rebate.

4 - The Implications Of Visibility On The Use Of Strategic Inventory In

A Supply Chain

Abhishek Roy, University of Texas at Austin McCombs School of

Business,

abhishek.roy@utexas.edu

, Stephen M Gilbert,

Guoming Lai

It is now widely accepted that a retailer’s use of strategic inventory benefits both

the retailer and the manufacturer. However, it has typically been assumed that

the manufacturer has perfect information about the retailer’s level of inventory,

either by observing it directly, or by inference based on sales observations. Yet, in

reality, there are many situations in which a manufacturer may lack the ability to

observe either the sales or the inventory of the retailer. We investigate how this

lack of inventory observability affects the use of strategic inventory in a supply

chain, and how the possibility of strategic inventory shapes the information

preferences of the retailer and the manufacturer.

TC31

202C-MCC

Operations/Corporate Finance Interface

Sponsored: Manufacturing & Service Oper Mgmt, iFORM

Sponsored Session

Chair: Jie Ning, Case Western Reserve University, 10900 Euclid Ave,

Cleveland, OH, 44106, United States,

jie.ning@case.edu

Co-Chair: Volodymyr O Babich, Georgetown University, 3700 O St NW,

Washington, DC, 20057, United States,

vob2@georgetown.edu

1 - Inventory And Signaling To Creditors

Jiri Chod, Boston College, Chestnut Hill, MA, United States,

chodj@bc.edu,

Nikolaos Trichakis, Gerry Tsoukalas

We argue that by borrowing goods (e.g., through supplier trade credit) rather

than cash (e.g., through a bank), firms may be able to convey private information

to their creditors more efficiently. As a result, in-kind financing mitigates signaling

costs, rationalizing among others, why firms may prefer to finance their

operations through their suppliers. Our model suggests this preference can persist

even when in-kind lenders have no prior informational advantage and face

comparatively higher cost of capital, and is more pronounced when the borrowed

goods have higher margins or differentiation, or require less production effort.

2 - Innovative Financing For Sme Suppliers: Factoring, Reverse

Factoring And Retailer’s Engagement

Fasheng Xu, Washington University in St. Louis, St. Louis, MO,

fasheng.xu@wustl.edu,

Panos Kouvelis

We consider a pull supply chain with a large retailer and an SME supplier, who is

in need of short-term pre-shipment financing. The bank offers a fairly priced loan

and repayment failure leads to costly bankruptcy. Benefits of recourse factoring

are limited, but non-recourse factoring achieves surprisingly better performance

by eliminating market frictions. Further, we investigate two financing schemes in

reverse factoring: the partial credit guarantee (PCG) and the purchase order

commitment (POC). We find PCG can slightly reduce supplier’s financing cost,

meanwhile POC can lead to a win-win solution for the decentralized supply

chain, with even higher expected profit than the centralized one.

3 - R&D Investments In The Presence Of Free-riding And

Risk-shifting Incentives: Can Debt Financing Mitigate Under-

investment?

Jie Ning, Case Western Reserve University, Cleveland, OH,

United States,

jie.ning@case.edu

, Volodymyr O Babich

When information is a public good, in equilibrium firms under-invest (relative to

the social optimum) in acquiring it to free-ride on investments of other firms.

When firms are financed by debt, in equilibrium equity holders invest in riskier

projects relative to the firm-optimal. The interactions between these two

inefficiencies arise when risky investments are needed to acquire information that

becomes a public good, as in some R&D projects. We model these interactions in a

three-stage game with two firms and an external debt market. We show that the

presence of free-riding and risk-shifting incentives may lead to either under-

investment, over-investment, or socially optimal investment.

TC32

203A-MCC

Revenue Mgt, Pricing II

Contributed Session

Chair: Sareh Nabi Abdolyousefi, University of Washington, 2727 NE

55th Street, Seattle, WA, 98105, United States,

snabi@uw.edu

1 - A Pricing Setting Retailer Sourcing From Competing Suppliers

Facing Disruption

Xi Shan, Student, The University of Texas at Dallas, 800 W.

Campbell Road, Richardson, TX, 75080, United States,

130630@utdallas.edu

, Suresh P Sethi”, Tao Li

We study the case of a price-setting retailer who sources from two strategic

suppliers subject to independent or correlated disruption and sets the retail price

upon delivery. We model this case as a Stackelberg-Nash game with the suppliers

as the leaders and the retailer as a follower, and obtain explicitly the equilibrium

of the game. We identify cases in which the retailer orders from one perfectly

reliable supplier and one unreliable supplier, and two correlated unreliable

suppliers. In the latter case, the equilibrium suppliers’ profits can increase in

supplier disruptions correlation, which is not consistent with the literature.

2 - Pricing Of Internet Dynamically Under Changing Capacity

Demet Batur, Assistant Professor, University of Nebraska - Lincoln,

CBA 209, Lincoln, NE, 68588-0491, United States,

dbatur@unl.edu,

Jennifer Ryan, Zhongyuan Zhao,

Mehmet C Vuran

Technological advancements created the TV white space (TVWS)—the

opportunity to use parts of the TV spectrum for Internet when and where the TV

channels are not actively used by broadcasting companies. The Internet capacity

generated from the emerging TVWS systems will change stochastically. Also, the

capacity needed by the customers for various Internet activities differ significantly,

e.g., email checking versus video streaming. We present a Markov Decision

Process model for the service provider to post dynamically changing prices to the

customers based on the current available capacity and the expected customer

usage with a revenue maximization objective.

TC30