Informs 2015

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INFORMS Philadelphia – 2015
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3 - A Critique of Empirical Tests on the Inventory-performance
Relationship in U.S. Manufacturing
Daesung Ha, Professor, Marshall University, 415 Corbly Hall,
1 John Marshall Drive, Huntington, WV, 25755,
United States of America,
In this study, we discuss the estimation errors and the model specification
problem of the existing studies which investigated the relationship between
inventory productivity and firm performance in U.S. manufacturing industry.
Using the panel data of U.S. manufacturing firms over the period of 1980–2014
collected from the Compustat database, we provide the corrected estimation
results.
4 - The Effect on Inventories Assets Turnover Change Ratio
by Firm Characteristics
Jihye Lee, Kyungpook National University, Sangyeok
3-Don Buk-Gu, Daegu, Korea, Daegu, Korea, Republic of,
, Pansoo Kim
This study analyzed the effect on ratio of change of inventories turnover by firm
characteristics using panal data targeting manufacturing companies listed on the
Korea Stock Exchange securities market since Januaru 1, 1999 to December 31,
2012. Firm size, sales growth rate, ROA(return on assets), leverage ratio, credit
rating, age of firm were used as a 6 important firm characteristic variables.
5 - Service Management in Dynamic Online Markets with Positive
and Negative Word of Mouth
Ruiqi Hou, University of Science and Technology of China,
East Campus USTC, No. 96 Jinzhai Road, Room 367-414, Hefei,
230026, China,
We consider that comments online may lead to customers’ leaving the market.
We use the effect that value for money level may have on market size to measure
the economic effect. The model considers both single and two-firm model and the
decision is setting investment cost. Customers are distinguished by their types
which induce heterogeneous rates of adoption information. The information of
value for money level diffuses and affects the transitions of consumers. We
establish conditions for a Nash equilibrium policy.
TD04
04-Room 304, Marriott
Economics I
Contributed Session
Chair: Patrick O’Reilly, PhD Candidate, Mineral And Energy
Economics, Colorado School of Mines, P.O. Box 11, Golden, CO, 80402,
United States of America,
1 - Foreign Direct Investment and Organized Crime in Mexico:
A Spatial Approach
Lorena Berumen, Head Of Academic Area In Operations
Management, Universidad Panamericana, Augusto Rodin 498,
Ciudad de México, Mexico, , Roldán
Andrés-rosales, Margarita Hurtado
Foreign Direct Investment (FDI) has played an important role in the growth and
development of the Mexican economy. In this paper our main contribution is the
analysis of FDI by sector and its spillover effect in the different regions in which
FDI has ben concentrated. Using spatial panel data and a spatial Durbin Model to
assess the direct and indirect effects of FDI on the sectors affected by organized
crime.
2 - The Role of Social Planner in Closed-loop Supply Chain
Lan Wang, Assistant Professor, California State University at East
Bay, 25800 Carlos Bee Blvd., Hayward, CA, 94401, United States
of America, , Tharanga Rajapakshe,
Asoo Vakharia
Our paper studies the problem of legislation practices on who should be
responsible for recycling, and compares the existing mechanisms on the efficiency
of environmental protection. Given different social objectives – prioritized
consumer welfare, prioritized environmental benefit, or jointly social objective,
we aim to provide roadmap to the social planner on legislation and incentives for
remanufacturing and the end-of-life/use product recycling activities.
3 - Modelling Heterogeneous Economies – Two Competing
Paradigms
Grzegorz Koloch, Warsaw School of Economics, Al.
Niepodleglosci 162, Warsaw, 02-554, Poland,
Mateusz Zbikowski, Bogumil Kaminski
Two modelling paradigms gained most popularity in the field of heterogeneous
agent macroeconomic modelling: the heterogeneous agent DSGE models and
Agent Based Macroeconomic simulation models. The first approach, is based on
neoclassical foundations and uses dynamic programming paradigm. It is
considered to be a mainstream. The second one still is not used to a comparable
extent both by researchers and policy makers. In this paper we propose an
explanation of the reasons for such a situation.
4 - An Optimization Model for Allocation and Routing of Municipal
Solid Waste in Flanders
Jens Van Engeland, KU Leuven Campus Brussels, Warmoesberg
26, Brussels, 1000, Belgium,
Historical evolutions and inter-municipal cooperations decide on the current
allocation of municipal solid waste (MSW) to treatment facilities in Flanders.
However, in the near future the region will be confronted with a number of
important waste dilemmas. Therefore it is important to know what gains could be
achieved by redesigning the current allocation in the first place. The proposed
model optimizes the allocation and routing of MSW from municipalities to
treatment plants.
5 - A Network Formulation of Competing Demands for Water:
Transaction Costs, Property Rights, and Rents
Patrick O’Reilly, PhD Candidate, Mineral And Energy Economics,
Colorado School of Mines, P.O. Box 11, Golden, CO, 80402,
United States of America,
Markets and centrally-planned regimes may be seen as having network structure,
exhibiting not only spatial dependence, but transaction costs and the dual notion
of economic property rights. Water allocation problems pose a range of
institutional questions that network models may be uniquely suited to answer.
This paper investigates transaction cost and economic rent consequences of
choosing between market and command-oriented institutions in light of their
respective network structure.
TD05
05-Room 305, Marriott
Social Media Engagement
Cluster: Social Media Analytics
Invited Session
Chair: Les Servi, The MITRE Corporation, 202 Burlington Road,
Bedford, MA, United States of America,
1 - Development and Evaluation of Tagalog LIWC Dictionaries for
Negative and Positive Emotion
Amanda Andrei, Graduate Student, Georgetown University,
Washington, DC, United States of America
Developing non-English sentiment analysis tools can ensure that data is not lost
due to language. A proof-of-concept Tagalog Linguistic Inquiry and Word Count
(LIWC) dictionary for positive and negative emotion was developed for use in
analyzing mixed language Twitter data from the Philippines and evaluated against
human-annotated sentiment for Twitter, referred to as groundtruth.
2 - Consumer Engagement with Green Brands on Facebook as
Revealed in Refined Sentiment Analysis
Tiffany Ting-Yu Wang, Associate Professor, College of
Informatics,KNU, 70-7 Xianyan Rd. Lane 16, Taipei, No, 11688,
Taiwan - ROC,
The fast-growing number of social media users together with inundating user
generated content has posed significant challenges to firms trying to detect
consumers’ attitudes. This research aims to uncover consumer experiences with
two green brands in the cosmetics industry through collecting and analyzing
public Facebook posts. We refine sentiment analysis by applying the Tetraclasse
model to identify social media context and/or green product attributes as
satisfaction determinants.
3 - Tailored Incentives and Least Cost Influence Maximization on
Social Networks
Rui Zhang, University of Maryland, College Park, MD, United
States of America, S. Raghavan
We wish to promote a product over a social network and attain 100% adoption.
We study a cost minimization problem where incentives can be tailored to each
individual. A totally unimodular formulation is proposed for trees. Observing that
the influence propagation network is acyclic, we apply this formulation (along
with an exponential set of anti-cycle inequalities) to general networks. Next, a
branch-and-cut approach is developed and used to solve problems on real-world
graphs with 5000 nodes.
4 - Large-scale Bid Optimization in Online Advertising Auctions
Mustafa Sahin, University of Maryland, Van Munching Hall 3330,
College Park, MD, 20742, United States of America,
Abhishek Pani, S. Raghavan
In sponsored search ads, the search operator collects bids for a given keyword and
determines whose ads will be displayed in what position. The advertisers have to
decide on keywords and positions to bid on given a budget, which can be
modeled as a Multiple Choice Knapsack Problem. The number of keywords and
positions considered can be in the order of hundreds of millions for this
application. We offer an algorithm that is both time and memory efficient and
present results on hard instances.
TD05