Decision Sciences – Call for Papers: Special Issue on “Information and Operational Decision Sciences



Call for Papers: Special Issue on “Information and Operational Decision Sciences: The Interplay of Information Technology and Operational Decision Sciences”


Guest Editors

Jose Benitez, Rennes School of Business, Rennes, France & University of Granada, Spain, email:
Xin Luo, University of New Mexico, USA, email:
Gyula Vastag, Szechenyi Istvan University, Hungary,

Special Issue Theme and Scope: Information and Operational Decision Sciences
The theme of the Special Issue is “Information and Operational Decision Sciences: The Interplay of Information Technology and Operational Decision Sciences”. Information technology (IT) capabilities enable firms to digitally transform their business processes to achieve business flexibility, quality, and innovation activities, thus improving the firms’ operational performance. Operational capabilities and performance are the heart of the firm’s business model to survive in the long run. Firms’ ability in using and leveraging innovative IT resources may facilitate the development of operational capabilities to increase firm performance.

As two separate fields in many Business Schools [i.e., Information Systems (IS) and Operations Management (OM)], sometimes it seems as IT is from Mars and OM comes from Venus. The Decision Sciences community and Decision Sciences are the ideal platforms to pursue a “transdisciplinary” approach (that is looking for the unity of knowledge beyond disciplines) to develop high quality and innovative research work growing out of these two fields. Because in the interplay of IT and operational decision making the whole is more than the sum of its parts, this Special Issue calls for original research on the interplay of IT and operational decision making.

This Special Issue welcomes the best submissions of the 8th Annual Conference of the European Decision Sciences Institute (EDSI 2017), as well as other high-quality submissions of other relevant conferences in 2017 (including but not restricted to DSI 2017, EURO 2017, EurOMA 2017, INFORMS 2017, and ICIS 2017).

Research Topics
This Special Issue calls research submissions about “Information and Operational Decision Sciences” using novel theories and/or methods as well as research contexts that make a significant contribution to knowledge in Decision Sciences. Submissions that focus on the interplay of IT and operational decision-making are especially welcome. Topics of interest include but are not limited to the following:

 Interplay of IT and operational decision making,
 Business value of IT,
 IT-enabled organizational capabilities,
 IT and innovation activities,
 Business value of social media,
 Social media and business activities,
 Social media and customer value proposition,
 Social media and innovation activities,
 Big data and operational decision making,
 Big data and business analytics.
 Supply chain management and value creation,
 Innovation management,
 Supply chain management and open innovation,
 Globalization of manufacturing operations,
 Quality management,
 Triple bottom line, operations management, and IT,
 Behavioral aspects of operations management,
 Decision making in public organizations.

Submission Instructions
Inquiries should be directed to the Guest Editors. Manuscripts should be submitted online directly. Please see instructions on the Journal’s website: Please select article type “Special Issue” and “Information and Operational Decision Sciences” while uploading your paper. Please indicate any of the Special Issue Guest Editors (Jose Benitez, Xin Luo, or Gyula Vastag) as your Senior Editor. All submitted papers will go through the rigorous peer-review system of the Decision Sciences Journal.

Tentative schedule
Initial paper submission deadline: January 1, 2018.
First round author notification: March 1, 2018.
Invited revisions deadline: May 1, 2018.
Second round author notification: July 1, 2018.
Final revision deadline: August 1, 2018.
Final author notification: September 1, 2018.
Projected publication: Fall 2018 or Spring 2019

Guest Editors’ Bios
Jose Benitez is an Associate Professor of IS at the University of Granada, Spain. He will be appointed in June 2017 as Full Professor of IS at Rennes School of Business, Rennes, France. Dr. Benitez is also a Visiting Professor of IS at the University of Twente, The Netherlands, and an Instructor of Partial Least Squares (PLS) Path Modeling at the PLS School. His research interests cover the study of how the firm’s portfolio of IT capabilities affects organizational capabilities and firm performance, and the development of PLS path modeling in the field of IS. His research has been published or is forthcoming in leading IS journals such as MIS Quarterly, European Journal of Information Systems, Information & Management, and Journal of Information Technology. He currently serves as Associate Editor for European Journal of Information Systems, and Information & Management.

Xin Luo is an Endowed Regent’s Professor and Associate Professor of IS and Information Assurance in the Anderson School of Management at the University of New Mexico, USA. He is the Associate Director of Center for Information Assurance Research and Education at the University of New Mexico. He received his Ph.D. in IS from Mississippi State University, USA. He has published research papers in leading journals including Decision Sciences, Decision Support Systems, European Journal of Information Systems, Communications of the ACM, Journal of the AIS, Journal of Strategic Information Systems, Information Systems Journal, Information & Management, and Computers & Security. He is currently serving as an Ad Hoc Associate Editor for MIS Quarterly and an Associate Editor for European Journal of Information Systems, Electronic Commerce Research, Journal of Electronic Commerce Research, and International Conference on Information Systems. His research interests center around information assurance, innovative technologies for strategic decision-making, and global IT management.

Gyula Vastag is Professor and Director of the Management Ph.D. Program at Szechenyi University (Győr, Hungary) and at the National University of Public Service (Budapest, Hungary). He co-authored five books (by Elsevier and Pearson), wrote eight business cases, contributed chapters to about 20 books, and published papers in a variety of peer-reviewed academic and professional journals in the United States and in Europe including – among others – Decision Sciences, Journal of Operations Management, Production and Operations Management, European Journal of Operational Research, European Management Journal, International Journal of Production Economics, and International Journal of Production Research. Gyula received several research awards: New Central Europe Distinguished Senior Researcher Scholarship (2014), Best Applications Paper Award by Alpha Iota Delta – The International Honor Society in Decision Sciences and Information Systems (2012), and Award for Research Excellence from Corvinus University (2009). He was the Founding Editor of the Pannon Management Review, is Associate Editor of Decision Sciences and serves on the editorial boards of the Central European Business Review, Business Research, Logistics Research, and International Journal of Quality Innovation. Currently, Gyula serves as President-Elect of the European Decision Sciences Institute and as Board Member of the European Operations Management Association.

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