2016 INFORMS Annual Meeting Program

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INFORMS Nashville – 2016
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TB54
Music Row 2- Omni
Service Science in Emerging Economy
Sponsored: Service Science
Sponsored Session
Chair: Qiang Qiang, Penn State University, 30 E. Swedesford Road,
Malvern, PA, 19355, United States,
1 - Big Data Based Modeling And Optimizing Of The First Aid
Services In Shanghai Songjiang District
Wei Yang, Tongji University, Shanghai, China,
, Qiang Su
To guarantee the emergency demand can be responded in time, the government
is obliged to implement an effective EMS plan. Most studies failure to consider
adequately the effect of the spatio-temporal uncertain demand since it is difficult
to quantitatively describe. As a result, the location plan is not efficient enough. In
this study, Gaussian Mixture Model clustering is innovatively utilized to
quantitatively describe the spatial uncertain demand. Then the chance-constraint
programming model for location planning is developed. The data of Songjiang
District is used to validate the method proposed. The experimental results
demonstrate that the delay time can be significantly decreased.
2 - The Impact Of Linguistic Persuasiveness On The Success Rate Of
Crowdfunding Services: Evidence From Kickstarter
Hongwei Wang, Tongji University, Shanghai, China,
Wei Wang, Wei Chen, Kevin Zhu
Fund-seekers tend to use various linguistic styles to change investors’ perception
on project prospects, thus leading to different persuasiveness on investment
intentions. Based on Hovland’s persuasion model and Aristotle’s rhetorical
persuasion triples, the linguistic styles are grouped into resorting to credibility, to
sentiment, to logic, to reward, and to exaggeration. We then extract the keywords
for these categories by text mining. An econometric model is formulated with
128345 campaigns from Kickstarter to estimate the impact of linguistic styles on
successful campaigns. The results guide fund-seekers to come up the most
effective linguistic styles on describing their projects.
TB55
Music Row 3- Omni
Inventory Management IV
Contributed Session
Chair: Apurva Jain, University of Washington, Foster School of
Business, Box 353226, Seattle, WA, 98195-3226, United States,
1 - Using Simulations To Evaluate And Improve Inventory Policies
Jagtej S Bewli, Director, Product Management, WalmartLabs,
850 Cherry Avenue, San Bruno, CA, 94066, United States,
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2 - Cooperation In Spare Parts Systems With Expedited Deliveries
Ulas Ozen, Ozyegin University, Cekmekoy Campus, Nisantepe
District, Orman Street, Istanbul, 34794, Turkey,
We study cooperation between a group of companies, who need spare parts to
maintain their expensive equipment, by pooling their spare parts inventory. To
address the cost allocation problem, we borrow concepts from cooperative game
theory and examine the core of the resulting cooperative games. We study three
cooperation scenarios: (i) cooperation by inventory pooling, (ii) cooperation
under optimal inventory investment, and (iii) cooperation under service level
constraint. For many of these games, we show that the cores are non-empty by
identifying a PMAS. For the games with empty cores, we present examples.
3 - Multi Period Production Planning With Uniformly
Perishable Inventories
Mehdi Karimi-Nasab, PostDoc, Institute for Operations Research,
University of Hamburg, Von-Melle-Park 5, Hamburg, 20146,
Germany,
A number of products should be produced over a number of periods. After a
product is produced, it is subject to perishability. Assume that product i is
produced in period t0. Then life time of product i can be divided into two parts:
till a certain time limit after production, tl(i), we can be sure that item i is usable
in the warehouse (i.e. till the end of period t0+tl(i) we are sure that it is not
perished), but it may be considered unusable during the next periods located in
the interval t0+tl(i)+1, . . ., t0+tu(i) with equal chance. In other words, we can be
sure that by probability of 1 it is absolutely out of use afterwards. The problem is
formulated and mathematical properties of the model are studied.
4 - Operational Responses To A Demand Surge
Apurva Jain, University of Washington, Foster School of Business,
Box 353226, Seattle, WA, 98195-3226, United States,
We develop and analyze a model where a firm observes the evolution of a
demand-surge over a short time-period. The firm’s decisions about inventory,
quality and delivery influence the evolution of the demand surge over short-term
and have impact on the level of long-term demand it may experience. The firm
must determine the time and quantity for ordering inventory to meet the surge
and must choose between sources that differ in their quality-levels and delivery-
times.
TB56
Music Row 4- Omni
Innovation through IT Management
Sponsored: EBusiness
Sponsored Session
Chair: Rajiv Mukherjee, Southern Methodist University, Frisco, TX,
United States,
1 - Effect Of Consumption Flexibility On Usage
Sreekumar Bhaskaran, Southern Methodist University,
, Rajiv Mukherjee, Sanjiv Erat
In this research, we examine the effect of flexibility related to consumption of
services on the extent of usage of a service. Impact of consumer behavior on
capacity and pricing are also considered.
2 - How Strategic Crowdfunding Design Decisions And Financial
Slack Affect Funding And Post-funding Outcomes
Daniel Zantedeschi, The Ohio State University, Columbus, OH,
United States, Onochie Fan-Osuala,
Wolfgang Jank
Based on the marketing-operations interface model, we conjecture that strategic
crowdfunding campaign design decisions can impact both funding and post-
funding outcomes. We show that these strategic decisions have differential effects
on the both phases (fundraising and post-funding) of crowdfunding. That is,
decisions that positively impact funding success may negatively impact the time to
shipment of crowdfunded products. Further, and contrary to speculations, we find
that overfunding (a fundraising phase outcome) provides financial slack and is
associated with lower delays in product shipment. Finally, we provide
implications of these findings.
3 - “Co-opetition” In The Over-The-Top (OTT) Services
Antino Kim, Indiana University, Bloomington, IN, United States,
Debabrata Dey, Atanu Lahiri
Often, an infrastructure service provider (ISP) allows an “over-the-top” service
provider (OTTSP) to use its infrastructure to offer services that end up competing
with the services provided by the ISP itself. Such presence of competition and
collaboration at the same time leads to an interesting relationship between the
ISP and OTTSP. In this research, we examine this intricate relationship to analyze
the pricing strategies for both parties.
4 - Product Support And Uncertainty: Effect On Two Competing
Online Retailers
Vashkar Ghosh, University of Florida, 355A Stuzin Hall,
Department of ISOM, Gainesville, FL, 32611, United States,
, Kyung Sung Jung,
Young Kwark, Janice Carrrillo
We analyze the effect of uncertainty about the product and retailer support
between two competing online retailers selling the same product. The retailers
differ in both their product support and fit. We consider the impact of online
reviews, and investigate the problem under wholesale and agency pricing
schemes.
TB54