INFORMS Philadelphia – 2015
495
2 - Foreign Cuisine or Local Delicacies? A Study on Overseas and
Domestic M&A by Chinese Listed Firms
Daitian Li, PhD Candidate, Bocconi University, Via Roentgen, 1,
Milan, 20136, Italy,
daitian.li@phd.unibocconi.itThis paper explores how sectoral difference and firm heterogeneity affect the link
between mergers and acquisitions (M&A) and productivity. I hypothesize that
overseas M&A tend to increase firms’ productivity in high-tech sectors, while
domestic M&A tend to increase firms’ productivity in low-tech sectors. Above
relationships are affected by firm heterogeneity in terms of prior productivity
levels. The hypotheses are tested with data on M&A conducted by Chinese listed
firms in 2000-2011.
3 - Joint Price Differentiation and Inventory Decisions for a Risk-
tolerant Firm with Demand Leakage
Syed Asif Raza, Assistant Professor, Qatar University, College of
Business and Economics, Qatar University, Doha, QC, 2713,
Qatar,
syedar@qu.edu.qa,Mohd. Nishat Faisal
We present a model for an optimal joint price differentiation and inventory
decisions for risk-tolerant firm. It is assumed that the firm divides its market
demand into two segments using a differentiation price and sell almost the same
or slightly distinguished products. However, this differentiation is leads an
imperfect segmentation causing a demand leakage from the full price market
segment to the discounted price segment. We assess the impact of risk-aversion
on a firm profitability.
4 - A New Statistical Approach to Multi-Channel Inventory Allocation
Misuk Lee, Assistant Professor, Salisbury University,
Perdue School of Business, Salisbury, MD, 21804,
United States of America,
mxlee@salisbury.eduAll revenues in different channels are not created equal with different distribution
costs and different market prices. We develop a new statistical model to find a
more profitable, yet achievable channel mix. By estimating multivariate normal
demand, we capture correlations of demand among channels and compute the
expected channel mix. We incorporate the estimation process with demand
seasonality identified through clustering, which results in more business-
reasonable allocation.
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53-Room 107B, CC
Environmental Operations
Contributed Session
Chair: John J Liu, Professor, City U of Hong Kong, Tat Chee Avenue,
Kowloon, Hong Kong - PRC,
johnliu@cityu.edu.hk1 - The Impact of Changing Discharge Standards on the Wastewater
Treatment Process
Bingxiong Lu, Tsinghua University, South 615A Shunde Building,
Beijing, China,
lubx13@mails.tsinghua.edu.cn,Simin Huang,
Xiangyuan Du
We used derivative-free optimization to optimize the wastewater treatment
process at different discharge standards, and obtained the ‘optimal treatment
scenarios’ with minimal treatment cost. The life cycle impact of ‘optimal
treatment scenarios’ were calculated using life cycle assessment. The results show
that the life cycle impact increases with increasingly stringent discharge standard,
and the marginal life cycle impact varies with different categories of water
pollutant.
2 - Export Restrictions or Boundary Adjustments? A Technology
Choice and Social Welfare Based
Sam Aflaki, HEC Paris, 1 Rue de la Liberation, Jouy en Josas,
78350, France,
aflaki@hec.frIn this paper, we study the legislations concerning e-waste export restrictions
such as Basel convention and compare them with alternative schemes such as
boundary adjustment methods involving taxation. We characterize the Nash
equilibrium of a stackelberg game between a regulator and a monopolistic firm
and analyze the influence of these schemes on the technology choice for
recycling, remanufacturing quantity and social welfare.
3 - Industrial Emissions: Corporate Social Liability and Responsibility
John J Liu, Professor, City U of Hong Kong, Tat Chee Avenue,
Kowloon, Hong Kong - PRC,
johnliu@cityu.edu.hk,Hao Leo Li
We theorize that industrial emissions represent an unavoidable social liability that
has not been unaccounted for in the POM research, and develop an emission
transduction model of production energy dissipation to characterize and measure
individual industrial emissions as liable “bads” (bad output) inevitably transduced
together with the “goods” produced by a production system. The model is
validated with empirical tests.
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54-Room 108A, CC
Service Science III
Contributed Session
Chair: Sina Ansari, Northwestern University, 2145 Sheridan Road
Room C210, Evanston, IL, 60208, United States of America,
sina.ansari@u.northwestern.edu1 - Value Co-creation and Resource Consumption: Towards an
Operational Model of SD Logic
Christoph Heitz, Zurich University of Appl. Sciences, Postfach,
Winterthur, 8401, Switzerland,
christoph.heitz@zhaw.chWe study a service system with two actors (e.g. service provider and customers)
which may integrate their resources for mutual value creation. We derive a
formal model that takes into account not only the value creation but also the
resource consumption of both actors. We assume that both actors have limited
resources, and the choices of how to use these resources determine their behavior
in the service relationship. The model leads to general insights on the behavioral
options of the actors.
2 - NSF Funding Opportunities for Human-centered Smart
Service Systems
Alexandra Medina-Borja, Program Director, National Science
Foundation/ UPRM, 2507 Fowler St, Falls Church, VA, 22046,
United States of America,
amedinab@nsf.govNSF program directors will discuss funding opportunities at the intersection Of
behavioral Sciences/ Human Factors and mathematical modeling. This research
work is expected to enable smart service systems of the future. Requirements and
recommendations will be discussed
3 - Task Variety in Professional Service Work: When it Helps and
When it Hurts
Emmanouil Avgerinos, PhD Candidate, University College
London, Gower Street, London, WC1E6BT, United Kingdom,
emmanouil.avgerinos.10@ucl.ac.uk, Bilal Gokpinar
In many professional service firms, individuals perform a variety of tasks with
significant opportunities for learning but also tend to enjoy more discretion in
managing when and how they perform their tasks. In light of these observations,
we investigate task allocation strategies that may enhance or inhibit individual
learning. Using a dataset of 3,275 coronary artery bypass surgeries we examine
the effect of concurrent and non-concurrent exposure to task variety on
individual productivity.
4 - Barriers to Productizing Services
Sukruth Suresh, Rensselaer Polytechnic Institute, Troy, NY,
12180, United States of America,
suress@rpi.edu, T. Ravichandran
We extend the existing product service systems classification, to include
productized service offerings. These are a well-defined, well-packaged bundle of
distinct services with a defined scope, delivered to address a specific set of needs.
We posit that firm status; maturity and extent of modularity of the offering and,
market size influence the propensity of firms productizing their offerings. These
are mobility barriers rather than entry barriers as the transition is within the
industry.
5 - Waiting Time and Customer Satisfaction Improvement in
Emergency Departments
Sina Ansari, Northwestern University, 2145 Sheridan Road Room
C210, Evanston, IL, 60208, United States of America,
sina.ansari@u.northwestern.edu, Seyed Iravani, Laurens Debo
Excessive wait time is the most common reason patients become unsatisfied and
leave the emergency department before being treated. In this study, we aim to
determine the possibilities of improvement in patient’s waiting times (both actual
and perceived) in Northwestern Memorial Hospital ED and consequently help ED
managers to achieve higher patient satisfaction.
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