We are living in a world characterized by an abundance of many different kinds of data. The importance of analyzing information contained therein has been already recognized by academia and practitioners. As a result, we have witnessed a rapidly growing number of products and solutions by the respective solution providers.
What is still missing, however, is an adequate interpretation and modeling of the ever growing data sets to create intelligent systems that are able to propose advanced solutions to complex problems.
As a consequence, this special issue aims at moving towards the next step and foster the development of advanced techniques coming from machine learning, artificial intelligence, uncertainty modeling, and data science, among others, to establish emerging trends in business analytics capable of facing the current challenges. In this special issue we understand the term “Business Analytics” in a rather broad sense, covering a spectrum of different application areas.
Topics relevant for this special issue include, but are not limited to:
Business Analytics for Financial Modeling
Human Resources (HR) Analytics
Fraud Detection and Cybersecurity
Privacy-preserving and ethics in Business Analytics
We place special emphasis on articles that contribute novel methodological developments to the before-mentioned areas identifying respective benefits for real-world applications.
Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. Submission via the journal website starts in December 2017. For additional questions, please contact the Guest Editors.
December 1, 2017: Submission starts
March 30, 2018: Submission deadline
June 30, 2018: Notification of the first-round review
August 30, 2018: Revised submission due
January 30, 2019: Final notice of acceptance/reject
March 1, 2019: Receipt of final versions of accepted papers
Cristián Bravo, Southampton University, UK
Emilio Carrizosa, Universidad de Sevilla, Spain
Sebastián Maldonado, Universidad de los Andes, Chile
Richard Weber, Universidad de Chile, Chile