Informs 2015

403 / 552

INFORMS Philadelphia – 2015
401
WB04
04-Room 304, Marriott
Economics III
Contributed Session
Chair: Wei Ye, Tongji University, Shanghai,China, Siping Rd 1239,
Shanghai,China, Shanghai, China,
1 - Contractual Adaptation through Voluntary Renegotiation
Jiulin Teng, HEC Paris, 1 rue de la Liberation, Department of
Strategy, Jouy-en-Josas, 78351, France,
I study the efficiency benefits of contractual adaptation. With a game theoretic
model that delves into the microfoundation of bilateral interaction in a non-
stochastic, non-deterministic environment, I find the dynamic contract that is
‘temporarily’ renegotiation-proof benefits from inter-temporal, Pareto-improving
updates – I refer to them as ‘voluntary renegotiation’. Their efficiency advantage
over static contracting alternatives arises from the balance between flexibility and
precision.
2 - Evaluation of City-Production Integration Based on DEA Model
and Coupling Method
Jingjing Jia, Tongji University, School of Economic and
Management, Siping Road No.1239, Shanghai, China,
Lin Su, Yixi Xue
The level of city-production integration is essential for urban development;
however the current research mainly focuses on the definition of the concept. In
this paper, we took typical cities in China as cases by using the combination of
Dea Model And Coupling Method to quantitatively evaluate and classify the level
of city-production fusion, and finally proposed policy recommendations.
3 - The Impact of Corporate Welfare Policy on Firm’s Productivity:
Evidence from Unemployment Insurance
Heedong Kim, PhD Student, Robert H. Smith School of Business,
University of Maryland, 6100 Westchester Park Drive, Apt. 1007,
College Park, MD, 20740, United States of America,
Emanuel Zur, Masako Darrough
We examine the relation between the state-run unemployment insurance
benefits (UIBs) and firm productivity. We test two competing theories and find
that our results support the efficiency wage rather than the compensating wage
differential theory. We find that an increase in UIBs is likely to exacerbate moral
hazard and leads to a decrease in firm productivity. We also find that firms tend to
enhance their employee welfare policies as a complementary mechanism to
manage moral hazard problems.
4 - How the Family Life Cycle Affects Rural Labor Migration:
Evidence from China
Wei Ye, Tongji University, Shanghai,China, Siping Rd 1239,
Shanghai,China, Shanghai, China,
This paper studies how the family life cycle affects rural labor migration in China.
We constructed an unique 5-stage family life cycle model and used a logistic
regression model to examine the effect. The original data is from a valid
questionnaire of 2107. Empirical results showed that the family life cycle has
significant impact on rural labor migration. Different stage has different impact on
migration. As the family becomes older, the possibility of migration shows a “S-
curve” fluctuation.
WB05
05-Room 305, Marriott
Better Business using Social Media Analytics
Cluster: Social Media Analytics
Invited Session
Chair: Chris Smith, TRAC-MTRY, 28 Lupin Lane, Carmel Valley, CA,
93924, United States of America,
1 - Predicting Digital Currency Price from Social and
Traditional Media
Peng Xie, Georgia Institute of Technology, Room 907,
100 10th Street, Atlanta, GA, 30309, United States of America,
Using daily Bitcoin price data and Bitcoin Forum discussion, we try to understand
if social media can affect Bitcoin price and how long does it take. We use the
percentage of negative words as the measure of the article sentiment. The results
show that social media can affect price. However, for information sources focusing
on speculation, the effects on prices are immediate. In contrast, information
concerning fundamentals impacts prices in a longer holding period.
2 - What Products to Feature on Retail Website Landing Pages?
Patrali Chatterjee, Professor, Montclair State University,
1 Normal Avenue, Montclair, NJ, 07043, United States of
America,
Landing pages on retailer websites are critical in inducing new shoppers to browse
deeper and ultimately purchase. Using field-experiment data this research
examines the relative effectiveness of using various real-time marketing analytics
like social media likes/pins (unique vs. shared) with site-specific behavioral data
(most purchased/most placed in cart/searched) on conversion.
3 - Decision Sciences Initiative in Analytics: The Nexus of Operations
Efficiency and Big Data
Tom Stafford, Editor, Decision Sciences Journal, Fogelman
College of Business, University of Memphis, Memphis, TN,
38152, United States of America, ,
Ramesh Sharda
Decision Sciences Journal has a strong interest in the analysis and understanding
of large-scale data. We offer a panel describing analytics research publication
opportunities, and prospective authors will receive one-on-one mentorship with
key editors in preparation for Journal submission. Topics of interest span social
media, descriptive, predictive and prescriptive analytics.
4 - Situational Understanding: A Military Perspective of Where we
Need to Go and the Exploitation of Open Source Data Utilizing
“Social Signal Processing for Anomaly Determination”
Michael A. Kolodny, Senior Technology Advisor, Army Research
Laboratory,
We are drowning in the deluge of data that is being collected world-wide, while at
the same time starving for knowledge and understanding. In the military domain,
there is a need to autonomously access & synthesize all relevant available data &
information into situational understanding for the Warfighters to rapidly &
effectively make critical decisions. A key aspect of this process is to provide only
information that is relevant and useful for the needed mission decision at hand.
Innovative research is needed to achieve the necessary situational understanding
required by military decision makers especially at the tactical edge. This
presentation will discuss the following topics: • The different levels of
understanding from physical representation to the levels of comprehension
(insight) and prediction (foresight). • The types of data processing and analytics
needed to understand group behaviors and their mutability and resiliency. • A
military perspective on data-to-decision to provide Situational Understanding at
the tactical edge. • The exploitation of open-source data such as social media for
the determination of anomalous group behaviors • The ARL’s initiatives to enable
collaborative research “Social Signal Processing for Anomaly Determination”.
WB06
06-Room 306, Marriott
Real Options
Sponsor: Financial Services
Sponsored Session
Chair: Kuno Huisman, Tilburg University, Post Office Box 90153,
Tilburg, 5000LE, Netherlands,
1 - Entry Deterrence by Location under Stochastic Demand
Kuno Huisman, Tilburg University, Post Office Box 90153,
Tilburg, 5000LE, Netherlands,
, Peter Kort
Huisman and Kort (2015, RJE) showed that by overinvesting an incumbent ÷rm
can delay entry by a competitor. This paper analyzes how location can play a role
in entry deterrence strategies. Location can be geographical, but can also relate to
product positioning
2 - Assessing Pollution Abatement Investment Policy under
Ambiguity
Motoh Tsujimura, Associate Professor, Doshisha University,
Kamigyo-ku, Kyoto, 602-8580, Japan,
This paper investigates a pollution abatement investment policy under ambiguity.
We consider there are representative consumer and firm in an economy and
formulate the social welfare maximization problem. Then we derive the optimal
abatement investment timing. Furthermore, we analyze the comparative static
effects of the model’s parameters.
3 - Product Innovation under Declining Demand and Uncertainty
Verena Hagspiel, Norwegian University of Science and
Technology, Alfred Getz vei 3, Trondheim, Norway,
, Peter Kort, Claudia Nunes
This paper studies a firm’s optimal product innovation decision facing volatile and
deteriorating product demand. The firm has to decide about the optimal time to
adopt new technology required to successfully launch a new product generation
and therewith boost demand. The innovation process is considered stochastic
with uncertainty about the speed of the arrival. Besides timing we also study the
optimal capacity choice for the new product.
WB06