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INFORMS Philadelphia – 2015

275

4 - Strategic Consumers, Revenue Management and the Design of

Loyalty Programs

So Yeon Chun, McDonough School of Business, Georgetown

University, 3700 O St. NW, Washington, DC, United States of

America,

sc1286@georgetown.edu

, Anton Ovchinnikov

Several major airlines recently switched their loyalty programs from

``mileage/segment-based” toward ``spending-based”. We study the impact of this

switch on firm’s profit and consumer utility. We present a novel model of strategic

consumers’ response to firm’s pricing and loyalty program decisions, incorporate

such response into the firm’s pricing and loyalty program design problem,

compare the solutions under the mileage-based versus spending-based design,

and discuss managerial implications.

TA51

51-Room 106B, CC

Economics of Innovation in Supply Chains

Sponsor: Manufacturing & Service Operations Management

Sponsored Session

Chair: Ayhan Aydin, Assistant Professor Of Operations Management,

George Mason University School of Business, 4400 University Drive MS

5F4, Fairfax, VA, 22030, United States of America,

aaydin2@gmu.edu

1 - Product Quality in a Decentralized Supply Chain: Value of

Information Asymmetry

Narendra Singh,

Narendra.Singh@scheller.gatech.edu

,

Stylianos Kavadias, Ravi Subramanian

We study an OEM’s optimal product design quality and sourcing strategies in a

supply chain consisting of an OEM, who has in-house option, and a supplier, who

has more favorable cost structure and the power to dictate contract terms. We

show that a two-part tariff contract, as opposed to a price-only contract, may

leave both the OEM and the supplier worse off. Further, we show that

asymmetric information about the OEM’s cost structure may lead to higher profits

for both the OEM and the supplier.

2 - Information Acquisition and Innovation in Competitive Markets

Yi Xu, Associate Professor, Smith School of Business, University

of Maryland, College Park, MD, 20742, United States of America,

yxu@rhsmith.umd.edu

, He Chen, Manu Goyal

In this paper, we study firms’ information acquisition strategies and innovation

strategies in a competitive market with uncertainty. The firms can resolve the

market uncertainty through different information acquisition methods. We

highlight the strategic interactions between information acquisition and

innovation investments in such a market.

3 - Investment in Core Technologies and Consumer Markets

Ayhan Aydin, Assistant Professor Of Operations Management,

George Mason University School of Business, 4400 University

Drive MS 5F4, Fairfax, VA, 22030, United States of America,

aaydin2@gmu.edu

, Rodney Parker

We consider a two-tier supply chain, an upstream tier composed of two

competing providers of a component that is used by multiple OEMS (integrators)

in the lower tier. Upstream firms invest to develop the technology of the

component further. We investigate the effects of downstream market factors, the

nature of technology, competition, and the level of uncertainties in the R&D

process on the level of upstream investments and the adoption of the higher

technologies by the downstream firms.

TA52

52-Room 107A, CC

Consumer-driven Management Science

Sponsor: Marketing Science

Sponsored Session

Chair: Ricardo Montoya, Assistant Professor, University of Chile,

Republica 701, Santiago, Chile,

rmontoya@dii.uchile.cl

1 - Product Showcasing in the Presence of Experience Attributes

Daria Dzyabura, Assistant Professor of Marketing, NYU Stern

School of Business, 40 West 4th Street, Tisch 805, New York, NY,

10012, United States of America,

ddzyabur@stern.nyu.edu

,

Srikanth Jagabathula

We formalize a firm’s showcase decision, or selecting a subset of products to carry

in a physical store, while a ‘large’ product line is offered through the online

channel. Some customers visit the offline store to gain information about product

features. We formalize the showcase problem as an IP, which we show to be NP-

complete, derive closed-form solutions for special cases, and adapt the local search

heuristic to the general problem. We gather conjoint data to estimate the model

parameters.

2 - Price Drop Protection Policy with Partial Refunds

Dinah Cohen-Vernik, Assistant Professor Of Marketing,

Rice University, 6100 Main St, Houston, TX, 77006,

United States of America,

dv6@rice.edu

, Amit Pazgal

Many retailers now offer to refund customers the full price difference as long as

the price drop occurred within a specified short period of time after the purchase.

Despite the popularity of such policy, the existing marketing research on the topic

is scarce. In this paper we investigate the price difference refund policy (referred

to as price drop protection) and demonstrate how it can improve retailer’s profits.

3 - Clicks and Editorial Decisions: How Does Popularity Shape Online

News Coverage?

Pinar Yildirim, Assistant Professor Of Marketing, The Wharton

School. University of Pennsylvania, 748 Huntsman Hall,

Philadelphia, PA, 19104, United States of America,

pyild@wharton.upenn.edu,

Ananya Sen

Using online news data from a large Indian English daily newspaper, this paper

analyzes how demand side incentives shape news media reporting. To establish a

causal link, we instrument the views of articles using days with rain and days

with electricity shortage as exogenous shocks to reader attention. We provide

evidence for extended coverage and higher resource allocation to issues which

receive high number of clicks.

4 - Stock-out Detection System Based on Sales Transaction Data

Ricardo Montoya, Assistant Professor, University of Chile,

Republica 701, Santiago, Chile,

rmontoya@dii.uchile.cl

,

Andres Musalem, Marcelo Olivares

We present a methodology based on real-time point-of-sales data to infer on-shelf

product availability. We develop our methodology using process control theory an

apply it to a big-box retailer. We use historical transactional data to develop our

methodology and empirically test it in two field studies. We analyze the results

and implications.

TA53

53-Room 107B, CC

Behavior in Operational Contexts

Sponsor: Behavioral Operations Management

Sponsored Session

Chair: Anton Ovchinnikov, Queen’s University, 143 Union Str, West,

Kingston, Canada,

anton.ovchinnikov@queensu.ca

1 - Behavioral Ordering: Inventory, Competition and Policy

Bernardo Quiroga, Assistant Professor, Business And Behavioral

Science, Clemson University, 100 Sirrine Hall, Clemson, SC,

29634, United States of America,

bfquirog@gmail.com

,

Anton Ovchinnikov, Brent Moritz

We study the effect of observed inventory decisions on performance. Our goal is

to measure and understand profit losses due to behavioral (intuitive but

suboptimal) ordering. The current literature, primarily focused on a newsvendor

making decisions in isolation, reports results implying profit losses of 1-5%

compared to the analytical optimum. In contrast, we show that when a

behavioral inventory manager competes against a management-science-driven

competitor, profit losses are much larger.

2 - Inequity and Loss Aversion in Pay What You Want

Yulia Vorotyntseva, PhD Candidate, The University of Texas at

Dallas, Richardson, United States of America,

Yulia.Vorotyntseva@utdallas.edu,

Ozalp Ozer

Pay-What-You-Want pricing is an exemplar of fairness-driven behavior in a

business context: the price for a product is fully determined by a buyer, and the

seller cannot reject any offer. The objective of our work is to find out key factors

affecting the buyers’ selection of prices under PWYW. We use a distributional

fairness approach and build a hierarchical Bayesian model of buyers’ behavior.

We then test it in a controlled laboratory experiment.

3 - Inventory Decisions in the Presence of Strategic Consumers

Yaozhong Wu, National University of Singapore, NUS Business

School, Singapore, Singapore,

yaozhong.wu@nus.edu.sg,

Yang Zhang, Benny Mantin

In the presence of strategic consumers, who may delay their purchase to the

markdown season, a retailer is faced with an extra consideration in addition to

the traditional newsvendor setting: excess inventory may induce strategic

consumers to delay their purchase and may further harm the revenue. We

develop a model that accounts for both the strategic consumers and the retailer’s

inventory decisions. We design behavioral experiments to test our model

predictions.

TA53