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Business Analytics and Management
Submission Deadline: Dec. 30, 2014

This special issue currently is open for paper submission and guest editor application.

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Lead Guest Editor
Department of National and International Security, Nicolaus Copernicus University, Toruń, Poland
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Guest Editors play a significant role in a special issue. They maintain the quality of published research and enhance the special issue’s impact. If you would like to be a Guest Editor or recommend a colleague as a Guest Editor of this special issue, please Click here to fulfill the Guest Editor application.
Guidelines for Submission
Manuscripts can be submitted until the expiry of the deadline. Submissions must be previously unpublished and may not be under consideration elsewhere.
Papers should be formatted according to the guidelines for authors (see: http://www.sciencepublishinggroup.com/journal/guideforauthors?journalid=175). By submitting your manuscripts to the special issue, you are acknowledging that you accept the rules established for publication of manuscripts, including agreement to pay the Article Processing Charges for the manuscripts. Manuscripts should be submitted electronically through the online manuscript submission system at http://www.sciencepublishinggroup.com/login. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal and will be listed together on the special issue website.
Published Papers
1
Authors: Thomas Madritsch, Matthias Ebinger
Pages: 1-9 Published Online: Aug. 20, 2014
DOI:
Views 4421 Downloads 208
2
Authors: Etelka Katits, Éva Szalka
Pages: 10-25 Published Online: Jan. 27, 2015
DOI:
Views 3226 Downloads 276
3
Authors: Azadeh Eshaghi, Safoura Mousavi, Amir Eshaghi
Pages: 26-34 Published Online: Aug. 27, 2015
DOI:
Views 5537 Downloads 76
Introduction
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. Applications of business analytics extend to nearly all managerial functions in an organization. Using microlevel 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. To encourage further developments in this rapidly growing area of interdisciplinary research, Science Publishing Group will publish a special issue dedicated to business analytics. In this special issue, we seek submissions concerning all aspects of business analytics and management.
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