[AISWorld] Information & Management Special Issue CfP – Big Data Analytics and Business Value

[Patrick Mikalef]

Information & Management Special Issue CfP – Big Data Analytics and Business Value


Guest Editors:
Patrick Mikalef, Department of Computer Science (IDI), Norwegian University of Science and Technology (NTNU), Norway, email: patrick.mikalef at ntnu.no<mailto:patrick.mikalef at ntnu.no>
Ilias O. Pappas, Department of Computer Science (IDI), Norwegian University of Science and Technology (NTNU), Norway, email: ilpappas at ntnu.no<mailto:ilpappas at ntnu.no>
Paul A. Pavlou, Fox School of Business, Temple University, USA, email: pavlou at temple.edu<mailto:pavlou at temple.edu>
John Krogstie, Department of Computer Science (IDI), Norwegian University of Science and Technology (NTNU), Norway, email: john.krogstie at ntnu.no<mailto:john.krogstie at ntnu.no>

Journal URL
https://www.journals.elsevier.com/information-and-management/call-for-papers/big-data-analytics-and-business-value

Objective
The purpose of this special issue is to identify the role of big data and business analytics on digital ecosystems, shed some light on how they are reshaping contemporary companies, and assess the value of big data analytics. The focus is on how companies should optimally deploy and exploit big data as part of their competitive strategies, as well as how the analytic methods, tools, and techniques are best utilized for supporting business operations and creating solutions that benefit society. Papers that address topics on how information sources, technological infrastructure, human skills and knowledge, organizational/team structures, and management practices coalesce to achieve desired ends, are of increased interest. Furthermore, outcomes that demonstrate the organizational impact of big data and business analytics in terms of competitive performance, innovativeness, increased agility, market capitalizing competence, and social value are highly encouraged.

Topics of interest include but are not limited to the following:
• Big data and management
• Data-driven competitive advantage
• Big data enabled organizational capabilities
• Big data strategic alignment
• Organizational learning and innovation from big data analytics
• Big data and its impact on business strategy-formulation
• Leveraging big data for social innovation and entrepreneurship
• Human resource management in the data-driven enterprise
• How big data shapes strategy and decision making
• Big data digital business models
• Big data and the dynamics of social change
• Proactive strategy formulation from big data analytics
• Data and text mining for business analytics
• Behavioural and Recommender Systems Analytics
• Big data analytics for strategic value
• Social media analytics for business
• Data quality improvement for business analytics
• Application of big data to address societal challenges

Submission Instructions:
Inquiries should be directed to either patrick.mikalef at ntnu.no or ilpappas at ntnu.no. All papers must be submitted through the official I&M submission system at www.evise.com/evise/faces/pages/navigation/NavController.jspx?JRNL_ACR=INFMAN<http://www.evise.com/evise/faces/pages/navigation/NavController.jspx?JRNL_ACR=INFMAN> upon selecting the name of the Special issue in the "Article Type". The submission shall not reveal any authorial information for double-blind review purpose. Please read the author guidelines at www.elsevier.com/journals/information-and-management/0378-7206/guide-for-authors<http://www.elsevier.com/journals/information-and-management/0378-7206/guide-for-authors> when preparing the submission. All papers will undergo the journal’s standard initial screening processes. Please

Important Dates:
Online submission open date: June 5th, 2017
Initial paper submission deadline: October 15th, 2017
First round authors notification: December 18th, 2017
Invited revisions deadline: February 18th, 2018
Second round authors notification: April 15th, 2018
Final revision deadline: June 10th, 2018
Final authors notification: July 1st, 2018
Projected publication: Autumn 2018​​



________________________________
Post-doctoral Research Fellow
Department of Computer Science (IDI)
Norwegian University of Science and Technology (NTNU)
Sem Sælandsvei 9, Gløshaugen, 7491
Trondheim, Norway

Phone: +47 73594483
Email: patrick.mikalef at idi.ntnu.no
Web: https://www.ntnu.edu/employees/patrick.mikalef