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INFORMS Nashville – 2016

243

2 - Question-and-answer Forums For Product Support:

Crowdsourcing Service To Customers

Konstantinos Stouras, INSEAD,

konstantinos.stouras@insead.edu

Online product support forums where customers can post complaints and

questions, or report issues about a product or service of a firm abound. A large

number of companies choose to crowdsource their product and service support

back to their customers, employing a few dedicated service operators. We

characterize the equilibrium behavior of such a novel business model for service

and compare it with a call center model.

3 - Scale, Scope And Hospital Productivity: An Empirical Study Of

Volume Spillovers Across Hospital Services

Michael Freeman, Judge Business School, University of

Cambridge, Cambridge, United Kingdom,

mef35@cam.ac.uk,

Nicos Savva, Stefan Scholtes

Demand pressures mean that hospitals are increasingly getting bigger (i.e. treat

more patients per year) and also more complex (i.e. see patients with more

diverse care needs). Although prior work has shown that increased volume is

positively associated with patient outcomes, the relationship between volume,

complexity, and costs is less-well understood. This paper uses a detailed panel of

130 hospitals in England over a period of nine years to examine the relationship

between scale and costs in hospitals by investigating spillovers between treating

together related (e.g. same service line, same degree of urgency) and unrelated

(e.g. different service lines, different urgency) activity.

4 - Finding A Needle In A Haystack: The Effects Of Searching And

Learning On Pick-worker Performance

Robert Batt, Assistant Professor, Wisconsin School of Business,

UW-Madison, Madison, WI, United States,

bob.batt@wisc.edu,

Santiago Gallino

We use a unique dataset from an online apparel retailer to estimate the

magnitude of intra-bin search time and what operational and behavioral factors

affect it. We find that intra-bin search time increases with both the number of

items in the bin and the density of items in the bin (i.e., items per foot). Further,

we find that the deleterious effects of bin load and density are attenuated by

worker experience. More experienced workers are less impacted by bin load and

density than are less experienced workers. We use simulation to show that

incorporating these bin load and experience effects into pick assignments and

routing can lead to meaningful improvements in pick times.

TA31

202C-MCC

Supply Chain Finance and Risk Management

Sponsored: Manufacturing & Service Oper Mgmt, iFORM

Sponsored Session

Chair: Wei Luo, IESE Business School, Av. Pearson 21, Barcelona, n/a,

Spain,

wluo@iese.edu

1 - The Effectiveness Of Supplier Buy Back Finance: Evidence From

Chinese Automobile Industry

Weiming Zhu, University of Maryland,

weimingzhu@rhsmith.umd.edu

Facing a budget-constrained buyer, a novel approach for large suppliers is

adopting buy-back financing schemes to relieve their downstream partners and

reduce channel costs. Through counterfactual analysis, we analyze the efficiency

of these financing schemes. We find that such contract agreements can improve

channel efficiency over traditional financing methods.

2 - Suppliers As Liquidity Providers

Panos Markou, IE Business School,

pmarkou.phd2016@Student.ie.edu

, Daniel S Corsten, Reint Gropp

Using a data set of private and public French firms and their suppliers, we

examine how supplier financial constraint affects buyer cash holdings. When

external financing is costly or unavailable, firms rely on their suppliers for backup

liquidity, freeing up cash. Using matching estimators, we show that constrained

buyers with unconstrained suppliers hold less cash than buyers with constrained

suppliers. This effect persists during the financial crisis, highlighting that suppliers

may be viable liquidity sources when banks are not. Finally, not only do buyers

with unconstrained suppliers hold less cash, but they adjust cash holdings

downwards following a supplier IPO.

3 - Financial Fluctuations Through Dynamic Networks

Stefano Nasini, IESEG School of Management, Paris/Lille, France,

s.nasini@ieseg.fr,

Mireia Giné, Miguel Antón

Decisions and outcomes of listed enterprises are strongly related by different types

of associations, such as supply-chain, competition and partnership. In the context

of financial stock markets, we introduce a network-based econometric framework

to explain cross-section dependencies of stock prices. After a detailed analysis of

the proposed methodology, estimation and forecast are carried out, based on the

COMPUSTAT data set (with information about supply-chain, competition and

partnership between U.S. listed companies). The inclusion of these pairwise

dependencies results in a substantial improvement of the predictive power, in

comparison with the standard auto-regressive approach.

4 - Financing Sellers Via E-commerce Platform In The Presence Of

Seller Competition

Long Ren, Tsinghua University,

renl.12@sem.tsinghua.edu.cn

,

Lingxiu Dong

Small-business sellers selling products via e-retailing platforms (e.g.,

Amazon.com,

eBay, Taobao) operate under consignment-revenue-sharing

(commission) contracts, under which the seller decides his product portfolio,

inventory, and selling price. Many of those sellers face capital constraints that

limit their ability to build inventory, expand product offerings. We investigate the

effect of e-commerce platform backed financing on sellers’ operational decisions

and the competition landscape.

TA32

203A-MCC

Revenue Mgt, Pricing I

Contributed Session

Chair: Syed Asif Raza, Qatar University, College of Business and

Economics, Doha, 2713, Qatar,

syedar@qu.edu.qa

1 - Reputation-based Pricing In E-commerce Retailing

Renato E de Matta, Associate Professor, University of Iowa,

2360 Mulberry Street, Coralville, IA, 52241, United States,

renato-dematta@uiowa.edu

, Timothy Joe Lowe, Dengfeng Zhang

We examine a revenue management problem involving an online seller of a

seasonal product in an e-commerce setting where consumers are sensitive to both

price and seller service rating. This rating is the aggregated consumer perception

of service quality and is used as a reputation indicator in setting prices. Using a

Markov decision process to model the problem over a finite horizon, we examine

the impact of changes in seller service rating and consumer heterogeneity on the

seller’s optimal pricing policy and expected revenues. Using simulated market

settings, we validate our model and compare our pricing policy with two other

competing policies.

2 - Research On Pricing Decision Of Remanufacturing Considering

Product Disassemblability And Recycling Quality Uncertainty

Juhong Gao, Dr., College of Management and Economics, Tianjin

University, Building 25-A No.92 Weijin Road, Nankai, Tianjin,

300072, China,

gaojuhong@tju.edu.cn

, Mengmeng Li

In this paper, the target of CLSC is to realize the members’ profit maximization

considering product disassemblability and recycling quality uncertainty. The four

different remanufacturing models have been analyzed and the coordination

mechanism has been introduced, in which the separation and cooperation model

of OEM and IO. Research shows the members obtain less profit when both of

OEM and IO are involved into remanufacturing. And OEM’s profit is higher in

centralized decision; IO still prefers to give up part of the profit and to participate

in the cooperation model considering that IO is more easily to be driven out of

remanufacturing market by OEM in decentralized decision.

3 - Dynamic Pricing In China’s Largest E-retailer

JD.com

Dongdong Ge, Professor, Shanghai University of Finance and

Economics, School of Information management and eng, 777

Guoding Road, Shanghai, 200433, China,

dongdong@gmail.com

In China’s largest E-Retailer JingDong

(JD.com

), there are 20 millions SKUs on

sale and 3 million orders made every day. Dynamic pricing in this gigantic system

has been recognized a vital issue in company’s revenue management operations.

In this talk, we briefly introduce our data-driven optimization models and

findings with

JD.com

. We also report our A/B test result, which shows a great

improvement in GMV/GP.

4 - Economic Order Quantity Models For Joint Pricing And Greening

Effort Decisions With Discounts

Syed Asif Raza, Qatar University, College of Business and

Economics, Doha, 2713, Qatar,

syedar@qu.edu.qa

Environmental protection and greening concerns have gained greatly emphasis

both at the procedures and consumers alike. Nowadays, customers are often

willing to pay a premium for environmentally friendly products, however, the

investment in greening effort by a firm must yield profitability to a firm. This

required the use of contemporary tools from Revenue Management (RM) and

pricing. Economic order quantity (EOQ) models are among the most studied in

inventory management context. This paper develops EOQ models with joint

pricing, greening effort (investment) decision in an RM context. Efficient solution

procedure is also proposed to consider the quantity discount in the EOQ models

analysis.

TA32