2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
325
TC65
Mockingbird 1- Omni
Topics on Internet Economics
Sponsored: Information Systems
Sponsored Session
Chair: Hossein Ghasemkhani, Purdue University, Purdue University,
West Lafayette, IN, 47907, United States,
1 - Ad-blockers, Publishers And The Internet: A Study On The
Economic Implications Of Ad-blockers
Abhishek Ray, Purdue University,
The rise of Ad-Blockers has prompted discussions about whether the age of free
content on the internet are numbered. This research is aimed at investigating
issues at the heart of this discussion - does adoption of Ad-Blocker necessarily
mean that users will be better off and whether websites will have to start looking
elsewhere to monetize their content? Through applied game theory, we aim to
answer important questions about the implications of the increasing popularity of
Ad-Blockers for users and whether Ad-Blockers are blessings in disguise or a
crash waiting to happen.
2 - The Advertising Big Picture: Analyzing The Cross Platform
Synergies Between TV And Online Advertising
Mohammed Alyakoob, Purdue University,
The advent of the Internet gave rise to digital advertising, which provides a
unique avenue for researchers to monitor customers’ responses to different types
of advertisements. This research utilizes this potential in combination with a
detailed television advertising data set to gain insights regarding the synergies that
exist between television and online advertising platforms. By utilizing a Bayesian
Vector Autoregressive model to account for the lagged interdependencies among
variables in a marketing context, we study the relationships between the online
and television advertising platforms and the impact these synergies have on a
customer’s propensity to purchase online.
3 - Social Influence In Public And Private Behaviors
Shan Huang, MIT,
To compare peer influence between public and private behaviors quantitatively, I
designed and analyzed a large-scale field experiment involving more than 37
million users on WeChat Moments ads. I randomized the number of social cues
and identified the effects of them on consumers’ public (i.e.liking) and private
(i.e.clicking and following) responses to ads. We found that public responses were
associated with significantly more positive effects of social cues than private
responses. Tie strength generally exerted larger effects on public responses than
on private responses. Relative to homophily, influence explains more of the
temporal clustering of public behaviors than private behaviors.
4 - Labor Market Risk And Technological Investment
Daniel Rock, MIT, Cambridge, MA, 02114, United States,
Prasanna Tambe
Prior work in financial economics demonstrates that firms make capital structure
choices to mitigate their employees’ exposure to unemployment risk. We combine
firm-level financial data from 2010 to 2014 with data from Burning Glass
Technologies, an online labor market intermediary to provide evidence consistent
with the argument that firms choose technologies in part to mitigate the financial
risk faced by technical workers. We also find that while greater employer market
value is associated with a decrease in our measure of skill generality cross-
sectionally, companies with very large market values tend to demand similar
technical skills as other employers in the same region.
TC66
Mockingbird 2- Omni
Networked System Reliability and Resilience
Sponsored: Quality, Statistics and Reliability
Sponsored Session
Chair: Chi Zhang, Tsinghua University, Tsinghua University, Beijing,
100084, China,
1 - Resilience Optimization Of Interdependent Critical Infrastructure
Systems Under Multiple Hazards
Min Ouyang, Huazhong University of Science and Technology,
Considering multiple types of initiating events in critical infrastructure systems
(CISs), including terrorist attacks, natural hazards and random failures, and
taking interdependent power and gas systems as an example, this paper proposes
a resilience optimization model and its solution algorithm for interdependent
CISs, where the candidate resilience enhancement strategies are selected from all
three disaster stages, including resistant stage, absorptive stage and restorative
stage.
2 - Multi-dimensional Vulnerability Of Public Transportation Services
Provided To Urban Residential Communities In China
Liu Hong, Associate Professor, Huazhong University of Science and
Technology, Wuhan, 430074, China,
Min Ouyang, Xiaozheng He, Yongze Yan
This paper proposes a network-based approach to model and analyze the multi-
dimensional vulnerability of public transportation services provided to urban
residence communities in a Chinese city, where complementary subway and bus
systems in the city forms the public transportation system and its service for
residential communities are measured by multi-dimensional metrics, such as
average accessibility to all public subway and bus stations, accessibility to the
hospitals, accessibility to large shopping centers and accessibility to long distance
travel services.
3 - Modeling And Visualizing Reliability In An Urban Bicycle
Sharing Program
Gabriela Góngora-Svartzman, Stevens Institute of Technology,
Hoboken, NJ, 07030, United States, ,
Jose Emmanuel Ramirez-Marquez, Kash Barker
Bicycle sharing programs are providing modern cities with an alternative mode of
transportation. Thereby it becomes important to analyze such systems to asses
their reliability. This work presents a behavioral analysis, aided by visualization,
and proposes a methodology for assessing reliability in New York City’s bicycle
sharing program, CitiBike. This is performed on a station basis and two errors; the
error where a user is not able to return a bicycle to a docking station, and the
error of not having bicycles for the users to take at a docking station. In future
work this methodology could be used to rebalance stations according to demand
distributions, enabling a decision-making optimization.
4 - A New Approach For Approximating Complex Network Reliability
Huaxing Zhu, Tsinghua University, Beijing, 100084, China,
, Chi Zhang
Our modern society is highly dependent on networked critical infrastructures,
such as telecommunication, power transmission, and so forth. Thus, it is
paramount to ensure their high reliability, to fulfill which we need to efficiently
evaluate their reliability. Represented by complex networks, critical
infrastructures usually have non-trivial topology and large amounts of
components, which make their reliability computation intractable and existed
enumeration-based algorithms inefficient. To solve this problem, we propose a
new algorithm to approximate a complex network’s reliability, based on
identifying its edge-disjoint minimal path sets, guided by its minimal cut sets.
TC67
Mockingbird 3- Omni
Industrial Big Data System
Sponsored: Quality, Statistics and Reliability
Sponsored Session
Chair: Ran Jin, Virginia Tech, Blacksburg, VA, United States,
Co-Chair: Hui Wang, Florida State University, 2525 Pottsdamer St, B-
373D, Tallahassee, FL, 32310, United States,
1 - Manufacturing Modeling And Interpretation Via Natural Language
Processing Techniques
Hongyue Sun, Virginia Tech,
To extract useful information from industrial data for better system understanding
and decision making is urgent. Motivated by techniques from natural language
processing, a framework for learning informative and interpretable patterns from
industrial data is proposed. A Czochralski crystal growth process is used to
demonstrate the proposed framework.
2 - Monitoring E-commerce Reviews By Discovering Hidden
Rating Criterion
Ke Zhang, Hong Kong University of Science and Technology,
Recently, the boom of electronic merchants have attracted many researchers on
analyzing customer reviews, which usually contain text-data and ratings.
Conventional monitoring methods are mainly based on the ratings provided by
customers, failing to reflect a customers’ accurate opinions, since a customer may
possess different attitudes towards different facets of a product. Here we
investigate an extension of LDA method to discover hidden aspects and aspect-
ratings by analyzing textual contents and associated ratings jointly. Then we
propose a control chart based on the discovered rating criterion. Simulations and
real-data analysis is presented to show effectiveness and efficiency.
TC67