[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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