[AISWorld] Call for Papers: Management Science Special Issue on Business Analytics
Jan DeGross
degro003 at umn.edu
Mon Mar 26 10:36:51 EDT 2012
Call for papers for a special issue of /Management Science/ on
**
*Business Analytics*
Submission Deadline: September 16, 2012
Expected Publication Date: First Quarter 2014
Co-editors:
Dimitris Bertsimas -- MIT
Eric Bradlow -- University of Pennsylvania
Noah Gans -- University of Pennsylvania
Alok Gupta -- University of Minnesota
Organizations today have access to enormous data sets, and sophisticated
business analytical tools are needed to harness the tremendous potential
of these data to improve day-to-day decision making. To encourage
further developments in this rapidly growing area of interdisciplinary
research, /Management Science/ will publish a special issue dedicated to
business analytics.
Applications of business analytics extend to nearly all managerial
functions in an organization. Using micro-level data, mathematical
models can become more realistic, be validated more easily, and match
more closely true behavioral phenomena. Through business analytics,
historical data can be used to discover relationships among important
elements in an organization's environment, make more formal statistical
inferences regarding the structure or strength of these relationships,
and improve actions taken by the organization. Because these
relationships are often not static, the entire cycle of identification,
estimation, prediction, and decision making is repeated frequently and
on an ongoing basis, leading to real-time and highly targeted
data-driven decisions.
We envision business analytics applied to many domains, including, but
surely not limited to: digital market design and operation; network and
social-graph analysis; pricing and revenue management; targeted
marketing and customer relationship management; fraud and security;
sports and entertainment; retailing to healthcare to financial services
to many other industries. We seek novel modeling and empirical work
which includes, among others, probability modeling, structural empirical
models, and/or optimization methods.
Submission: Please submit your manuscript online via
http://mc.manuscriptcentral.com/ms. You must select "Special Issue" as
the Manuscript Type in Step 1 and select one of the issue's four
co-editors in Step 5. Manuscripts will generally be assigned to one of
the Associate Editors for this issue (see below; please recommend three
in Step 4), but you may also recommend guest Associate Editors.
*Associate Editors:*
Alessandro Acquisti, CMU
Chris Forman, Georgia Tech
Paat Rusmevichientong, USC
Gedas Adomavicius, Minnesota
Anindya Ghose, NYU
Gary Russell, Iowa
Asim Ansari, Columbia
Kartik Hosanagar, Penn
Haipeng Shen, UNC
Sinan Aral, NYU
Garud Iyengar, Columbia
Melvyn Sim, NUS
Ravi Bapna, Minnesota
Anton Kleywegt, Georgia Tech
Peng Sun, Duke
Omar Besbes, Columbia
Retsef Levi, MIT
Yong Tan, Washington
J.P. Dube, Chicago
Carl Mela, Duke
Chung Piaw Teo, NUS
Laurent El Ghaoui, Berkeley
Ciamac Moallemi, Columbia
Huseyin Topagoglu, Cornell
Theos Evgeniou, INSEAD
Harikesh Nair, Stanford
Olivier Toubia, Columbia
Vivek Farias, MIT
Georgia Perakis, MIT
Yong-Pin Zhou, Washington
Fred Feinberg, Michigan
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