Business Analytics

Introduction

Special issue of Management Science, Edited by Dimitris Bertsimas, Eric Bradlow, Noah Gans, Alok Gupta; Deadline 16 Sep 2012

 ARC: Connections: ELMAR: Posting  

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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