Calls for Papers (special): Information Resources Management Journal (IRMJ)

Special Issue On: Reviewing Information Systems and Analytics: Past, Present and Future

Submission Due Date

Guest Editors
Abhishek Behl (O.P. Jindal Global University, India) (
Andy Borchers (Lipscomb University, USA) (

Analytics in its traditional form has gained attention by various scholars and practitioners. The most common application of it is to help businesses grow and is often duplicated with “Business Analytics”. In simple terms, it is a combination of descriptive, prescriptive and predictive modelling. Business Analytics (BA) has gained traction in every realm whether it is marketing, sales, human resource, information technology, medical sciences, operation management, teaching and learning, behavioural studies, etc. The growth of this promising area can also be judged by academic world starting to offer short term and long term courses, researchers exploring various aspects to it by studying some or many parts of it in different contexts, publishers starting to launch journals dedicated to it and practitioners starting to offer jobs and even building their entire business on the principles of BA. While studies rely on the fundamentals of Davenport and Harris’ (2007) seminal definition for understanding analytics, recent studies have matured from that definition which is grounded in data which is equally important as oil is. We can also say that BA is more of contextual application of operations research and data science.

While businesses are busy churning data, academic researchers are trying to understand how multiple theoretical perspectives be used to explain the application of analytics in different applications. Some of the recent studies have also attempted to address this concern. Akhter et al. (2016) used resource based view theory to understand enhancements in firm’s performance while Duan et al. (2018) discuss the use of theoretical lens to understand importance of BA in firm’s innovation success. Similarly, Hazen et al. (2016) reviewed eight theories to examine the role of big data and predictive analytics on supply chain sustainability. Information systems (IS) scholars are working largely in two dimensions: theory focused and practice focused. Information Systems (IS) scholars have critiqued that the rate at which there is a paradigm shift in information systems and analytics, it is important to review the field and the body of knowledge quite often.

The growth of information systems and trending applications of analytics in business functions have gathered attention. While there has been umpteen work being done in the field from the lens of theory and practice, it is important to record the journey in the form of a systematic review. The advantage of a review papers over other categories is that its power to sum up research on any topic/theme over a large time duration. This enablers the reader to get a glimpse of the topic and helps them to explore research gaps and potential scope of work in the near future.

The Special Issue attracts papers that reviews papers that discuss the growth of information systems and analytics in different domains. The Special Issue welcomes submissions that present review of one of the more themes listed as under. The review papers can be of one or more types: systematic review; semi systematic review; scoping review; bibliometric review; thematic review; meta analytics; methodological review; historical review; theoretical review; scoping review etc.

The papers should present a detailed review on one of the themes listed below or closely related to them. The submissions should discuss the past, present and the future of the theme to be qualified for submission for the Special Issue.

Recommended Topics
• Marketing and Social Media Analytics
• Financial Analytics and Risk Management
• Big Data Analytics
• Analytics and advanced technologies - IoT; Blockchain; Augmented & Virtual Reality; Gamification
• Supply Chain Analytics and Logistics Management
• Legal Analytics
• Health Care Analytics
• Human Resource and Learning Analytics
• Analytics for start ups
• Dark Side of Information and Analytics
• Machine Learning and Deep learning
• Theoretical advancements in information systems and analytics
• Any other related field of IS and Analytics

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Reviewing Information Systems and Analytics: Past, Present and Future on or before May 20th 2021. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Abhishek Behl and Andy Borchers
Guest Editor
Information Resources Management Journal (IRMJ) ;