Big Data Analytics and Business Value

in Special Issue   Posted on August 13, 2017 

Information for the Special Issue

Submission Deadline: Sun 15 Oct 2017
Journal Impact Factor : 3.317
Journal Name : Information and Management
Journal Publisher:
Website for the Special Issue:
Journal & Submission Website:

Special Issue Call for Papers:

Call for papers: Big Data Analytics and Business Value

Special Issue Guest Editors:

Patrick Mikalef, Department of Computer Science (IDI), Norwegian University of Science and Technology (NTNU), Norway, email: [email protected]

Ilias O. Pappas, Department of Computer Science (IDI), Norwegian University of Science and Technology (NTNU), Norway, email: [email protected]

Paul A. Pavlou, Fox School of Business, Temple University, USA, email: [email protected]

John Krogstie, Department of Computer Science (IDI), Norwegian University of Science and Technology (NTNU), Norway, email: [email protected]


The notion of big data and its application in driving organizational decision making has attracted enormous attention over the past few years. As the label itself indicates, big data refers to large volumes of data generated and made available online and in digital media ecosystems. Companies are realizing that the data they own and the way they use them can differentiate them from competition, provide them with a competitive edge, and even increase their impact on society. Thus, todays companies try to collect and process as much data as possible. Big data and analytics are also challenging existing modes of business and well-established companies. Yet, there is limited understanding of how organizations need to change to embrace these technological innovations, and the business shifts they entail. Even more, the business value and strategic relevance of big data and analytics technologies still remain largely underexplored. As big data tools and applications spread, they will inevitably transform long-standing ideas about decision making, management practices, and most importantly competitive strategy formulation.

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.

Emphasis will be placed on interdisciplinary papers that bridge the domains of organizational science, information systems strategic management, information science, marketing, and computer science. Despite the hype surrounding big data, the aforementioned predicaments still remain largely unexplored, severely hampering the business and societal benefits of big data analytics. This special issue aims to add in this direction and therefore welcomes quantitative, qualitative, and mixed methods papers, as well as reviews, conceptual papers, and theory development papers. 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 [email protected] or [email protected] All papers must be submitted through the official I&M submission system at 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 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

Closed Special Issues