2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
304
TC07
102B-MCC
Information and Influence Diffusion in Networks
Sponsored: Data Mining
Sponsored Session
Chair: Wenjun Wang, University of Iowa, Pappajohn Business Building,
Iowa City, IA, 52242-1994, United States,
1 - Community Detection And Correlation Analysis
Lian Duan, Hofstra University, Hempstead, NY, United States,
, Nick Street, Yanchi Liu,
Meral Binbasioglu, Haibing Lu
The advances in graphs play an important role to understand interrelated data.
Inside graphs, there are usually community structures where different portion of
nodes are more tightly connected to form a group, and community detection has
wide applications in marketing, management, health care, and education.
Nowadays, many different methods are proposed to detect community structures
from different perspective. In our research, we build a connection between
community detection and correlation analysis. It helps to utilize the progress in
correlation analysis for community detection.
2 - Detection Of Online Manipulation And Information Diffusion
Onur Varol, Indiana University,
Social media have become vehicles for instantly disseminating and accessing
information on a global scale. Understanding mechanisms governing information
diffusion is important and detection of malicious intents and activities are also
curious. In this talk, I will present our prediction and early detection framework
for social media campaigns and our online social bot detection platform called
BotOrNot. Then I will present our work on information diffusion on
heterogenous-intent networks. We experiment with user-level perception of
messages, analyze large-scale information cascades, and model information
diffusion in heterogeneous-intent networks.
3 - Modeling Influence Diffusion For Viral Marketing In
Social Networks
Wenjun Wang, University of Iowa, Iowa City, IA, United States,
, Nick Street
Viral marketing is a technique that induces users in a social network to pass on a
marketing message to other users so as to achieve the largest cascade of product
sales. It can be formulated as an influence maximization problem under a
stochastic diffusion model. In this paper, we propose a novel Multiple-path-based
Asynchronous Cascade (MAC) model, which captures both direct influence from
neighboring influencers and indirect influence from influencers two or three hops
away. It also takes into account influence attenuation along diffusion paths,
influence decay over time, and temporal diffusion dynamics. We then investigate
various heuristics to address the influence-maximization problem.
4 - How Peer Influence Affects Preference Evolution And Product
Selection In Offline Retail
LIN ZHAO, Tsinghua University, Tsinghua University,
Shunde Builiding Room 615, Beijing, 100084, China,
We combine offline retail with social network by presenting different types of
social network information to consumers. We also investigate how the social
influence mechanism may differ for different types of products. We propose a
multistage conjoint choice experiment to observe initial preferences and products
selection of consumers prior to observing their choice interdependence. We try to
show that it is possible to improve marketing response through the visibility of
consumers’ social network information. Also, we want to support the
recommendation system for offline retail.
TC08
103A-MCC
Ethics and Sustainable Business Models
Invited: Business Model Innovation
Invited Session
Chair: Elena Belavina, University of Chicago Booth School of Business,
Chicago, IL, United States,
1 - Honesty, Ethical Free Agency And The Hold-up Problem
Manu Goyal, University of Utah, Salt Lake City, UT, United States,
Krishnan S Anand, He Chen
We construct a finite-horizon model of incomplete contracts, where contracting
partners are vulnerable to ex-post opportunism and hold-ups, that also integrates
bounded rationality, moral hazard and adverse selection. We prove that an honest
player - who never holds up its contracting partner - can obtain strictly greater
profits than an unconstrained profit-maximizer, even though the latter has access
to a superset of strategies, including the option of mimicking the honest type. Our
research provides a bridge between normative rationales for honesty, the province
of ethics, and profit-maximization, which is axiomatic in economics, by providing
a compelling economic rationale for honesty.
2 - Increasing The Adoption Of New Life-improving Technologies
Gonzalo Romero, Rotman, University of Toronto, 91 Ferrier
Avenue, Toronto, ON, M4K 3H6, Canada,
, Andre Du Pin Calmon
Motivated by the operations of a distributor of life-improving technologies in
India, we consider a model where a retailer sells an item to risk averse consumers,
who derive an uncertain value from using this product. Without external
intervention, the market might collapse such that no sales occur. The distributor
intervenes in the market using two levers: (i) educating consumers, which
reduces the uncertainty in their valuation and (ii) implementing a reverse
logistics channel that allows for regret-returns and also a higher salvage value for
the retailer. We compare the relative effectiveness and substitutability degree of
each of these levers.
3 - New, Refurbished, And Used: Key Factors That Influence
Consumers’ Choices
Erin Cassandra McKie, University of South Carolina, 1014 Greene
Street, Columbia, SC, 29212, United States,
Mark Ferguson, Michael Galbreth, Sriram Venkataraman
Remanufacturing is increasingly providing new profit opportunities for firms, as
well as more product condition options - such as new, refurbished, and used - for
consumers to choose. Using secondary data and choice model analysis techniques,
we estimate the influence of various factors on consumers’ purchasing decisions
4 - Kicking Ash: Who (or What) Is Winning The War On Coal?
David Drake, Harvard Business School,
Power generators throughout the U.S. have shed coal capacity at an
unprecedented rate over the past few years. Multiple stakeholders have claimed
credit - natural gas executives, renewables advocates, policy makers, and
environmental NGOs among them. In this nascent work, we explore the extent to
which each has impacted the expected life of coal-fired power generating units.
TC09
103B-MCC
Environmental Logistics and Supply Chain
Operations
Sponsored: Energy, Natural Res & the Environment I Environment &
Sustainability
Sponsored Session
Chair: Dincer Konur, Missouri University of Science and Technology,
Rolla, MO, United States,
1 - Economic And Environmental Considerations In A Stochastic
Inventory Control Model With Order Splitting Under Different
Delivery Schedules Among Carriers
James F Campbell, University of Missouri-St Louis,
, Dincer Konur, Sepideh Monfared
We analyze an integrated inventory control and delivery scheduling problem with
stochastic demand and economic and environmental considerations. Models
consider order splitting among many carriers and two delivery scheduling
policies: sequential splitting and sequential delivery. Bi-objective mixed-integer
nonlinear models are formulated and solved with an adaptive -constraint
algorithm and an evolutionary search algorithm to approximate the Pareto front.
Numerical studies are used to compare the algorithms, explore the effects of
demand variance, show how delivery policy and carrier selection affect
performance, and document the need for a good approximation of the Pareto
front.
2 - Environmental Considerations In Liner Shipping And
Vessel Scheduling
Maxim A Dulebenets, Florida State University, Tallahassee, FL,
United States, , Mihalis Golias,
Sabya Mishra
Carbon dioxide emissions from maritime transportation constitute 2.2% of the
world’s anthropogenic carbon dioxide emissions. A number of environmental
regulations were released by the International Maritime Organization to reduce
the pollution levels over the last decade. Considering an increasing attention of
the community to environmental issues in liner shipping, this presentation will
focus on: 1) approaches for modeling emissions produced by vessels; and 2)
alternatives that would reduce vessel emissions and improve environmental
sustainability. A number of case studies will be presented to demonstrate how
negative environmental externalities can be alleviated.
TC07