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INFORMS Philadelphia – 2015

467

WD44

44-Room 103B, CC

Revenue Management and Pricing in Social Networks

Sponsor: Revenue Management and Pricing

Sponsored Session

Chair: Amir Ajorlou, Postodctoral Fellow, Massachusetts Institute of

Technology, E32-D569, 32 Vassar Street, Cambridge, MA, 02139,

United States of America,

ajorlou@mit.edu

1 - Ergodic Social Learning

Alireza Tahbaz-Salehi, Columbia Business School, 3022

Broadway, Uris Hall 418, New York, NY, 10023, United States of

America,

alirezat@columbia.edu

, Ali Jadbabaie, Pooya Molavi

This paper examines how the structure of a social network and the quality of

information available to different agents determine the speed of social learning. In

a variant of the DeGroot learning model, we show that the rate of learning has a

simple analytical characterization in terms of the relative entropy of agents’ signal

structures and their eigenvector centralities.

2 - Cournot Competition in Networked Markets

Shayan Ehsani, Stanford University, 450 Serra Mall, Stanford,

CA, 94305, United States of America,

shayane@stanford.edu,

Kostas Bimpikis

The paper considers competition among firms that produce a homogeneous good

in a networked environment. A bipartite graph determines which subset of

markets a firm can supply to. We characterize equilibrium supply quantities,

prices, and profits, and provide several insights regarding entering a new market

or two firms merging.

3 - Maximizing Stochastic Monotone Submodular Functions

Arash Asadpour, Assistant Professor, New York University, 44

West 4th Street, Suite 8-60, New York, NY, 10012, United States

of America,

aasadpou@stern.nyu.edu,

Hamid Nazerzadeh

We study the problem of maximizing a stochastic monotone submodular function

with respect to a matroid constraint. We show that the adaptivity gap ó the ratio

between the values of optimal adaptive and optimal non-adaptive policies ó is

bounded and is equal to e/(e-1). We propose a polynomial-time non-adaptive

policy that achieves this bound. We also present an adaptive myopic policy that

obtains at least half of the optimal value.

4 - Dynamic Pricing in Social Networks: The Word of Mouth Effect

Amir Ajorlou, Postodctoral Fellow, Massachusetts Institute of

Technology, E32-D569, 32 Vassar Street, Cambridge, MA, 02139,

United States of America,

ajorlou@mit.edu

, Ali Jadbabaie,

Ali Kakhbod

We study the problem of optimal dynamic pricing for a monopolist selling a

product to consumers in a social network. The only means of spread of

information about the product is via Word of Mouth communication. We show

that, in line with the real world evidence from smartphone applications, the

optimal dynamic pricing policy for durable products drops the price to zero

infinitely often, giving away the immediate profit in full to expand the informed

network in order to exploit it in future.

WD45

45-Room 103C, CC

Sustainability III

Contributed Session

Chair: Rajab Khalilpour, Dr, University of Sydney,

School of Chemical and Biomolecular Eng, Sydney 2006, Australia,

rajab.khalilpour@sydney.edu.au

1 - Understanding Spatio-temporal Diffusion of New Durable

Products: The Toyota Prius Hybrid Vehicle

David Keith, Assistant Professor, MIT Sloan School of

Management, 100 Main St, Room E62-441, Cambridge, MA,

02138, United States of America,

dkeith@mit.edu

,

Jeroen Struben, John D. Sterman

We propose an analytical framework in which spatio-temporal diffusion is

explained by social influence between adopters and potential adopters at different

geographic scales, for which data are more readily observable. We analyze Prius

sales in 4 US cities selected to capture variation in conduciveness and observed

adoption. We find that variation in Prius adoption is primarily explained by social

contagion within each ZIP code, amplifying underlying market heterogeneities.

2 - Sustainability Consciousness in Engineering Education

Qiong Wang, National University of Singapore, #12-207C,

North Tower, University Town, Singapore, 138601, Singapore,

qiong.wang@u.nus.edu

University sustainability education programs in several European countries and

the US have been compared to find common characteristics of the curricula in

environmental science and engineering programs. This study investigates

differences in the world’s top universities for engineering and technology with the

QS World University Rankings and Times Higher Education World University

Rankings by Faculty in the academic year 2014-15.

3 - Sustainability Trends in Service Sectors: A Text Mining Approach

Youqin Pan, Assustant Professor, Salem State University,

352 Lafayette Street, Salem, MA, 01970, United States of

America,

youqinpan@my.unt.edu

, Xiaocun Sun

In this paper, sustainability reports of major companies in the service sectors are

obtained and used. To extract useful information or uncover hidden patterns from

these reports, text mining is applied. The higher the frequency of a certain term,

the greater is the emphasis that companies place on them and hence the more

important they are to the companies.

4 - Financial Sustainability of Operator Assisted E-government

Kiosks in Emerging Economies

Rajesh Sharma, Research Scholar, Indian Institute of

Management, Prabandh Shikhar, Rau, Indore, MP, 453556, India,

f12rajeshs@iimidr.ac.in,

Rajhans Mishra

The paper addresses the issue of finacial sustainability of operator assisted kiosks

which are deployed in emerging economies to overcome the handicap of low

education, PC penetration and lack of Internet connectivity.

5 - Feasibility Study of Grid Defection with PV and Battery

Rajab Khalilpour, Dr, University of Sydney, School of Chemical

and Biomolecular Engi, University of Sydney, University of

Sydney, 2006, Australia,

rajab.khalilpour@sydney.edu.au,

Anthony Vassallo

We have developed a mixed-integer decision support tool for rigorous assessment

of the feasibility of leaving the grid. Numerous sensitivity analyses are carried out

over critical parameters such as technology costs, system size, load, and feed-in-

tariff. The results show that leaving-the-grid is not the best economic option and

it might be more beneficial to keep the connection with the grid, but minimize

the electricity purchase by installation of an optimal size of a PV-battery system.

WD46

46-Room 104A, CC

Empirical Research in Service Operations

Sponsor: Manufacturing & Service Oper Mgmt/Service Operations

Sponsored Session

Chair: Ryan Buell, Harvard Business School, Morgan Hall 429, Boston,

MA, 02163, United States of America,

rbuell@hbs.edu

1 - Strategically Giving Service: Information Visibility and Driver

Behavior in Ehailing Services

Antonio Moreno-Garcia, Northwestern University,

2001 Sheridan Rd, Evanston, Il, 60208, United States of America,

a-morenogarcia@kellogg.northwestern.edu,

Can Ozkan

Using data from a leading eHailing platform, we study how drivers react to the

existence of detailed information about the location of their competitors, and we

analyze how this phenomenon affects operational efficiency.

2 - Increasing Sales by Managing Congestion in Self-service

Environments: Evidence from A Field Experime

Saravanan Kesavan, Associate Professor, University of

North Carolina at Chapel Hill, Kenan-Flagler Business School,

Chapel Hill, NC, 27514, United States of America,

Saravanan_Kesavan@kenan-flagler.unc.edu

, Hyun Seok Lee,

Vinayak Deshpande

We examine the impact of congestion in fitting-room on store performance. We

demonstrate an inverted-U relationship between fitting-room traffic and sales. We

find that co-production is more effective: increasing fitting-room labor by one

person through field experiment increases sales per hour by 15.77%. Our

solution was adopted with around 100 stores. Finally, we tease out two

mechanisms of congestion effect by closely observing other retail store: 1) Waiting

time and 2) Phantom stock-out.

WD46