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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.it

This 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.edu

All 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.hk

1 - 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.fr

In 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.

WE54

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.edu

1 - 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.ch

We 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.gov

NSF 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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