About this journal

Aims and scope

Information Systems and Operational Research  (INFOR) publishes original high quality papers in the areas of data analytics and operations research. We focus on the theory, methodology and practice of Data Analytics and Operations Research and are particularly interested in papers that explore elements of both subjects.

We welcome papers that examine the following topics:

  • Computational intelligence
  • Data-driven optimization
  • Financial Optimization and Risk Management
  • Operations Research in Forestry
  • Operations Research in Health Care
  • Optimization
  • Production Planning and Scheduling
  • Stochastic modelling and simulation
  • Supply chain management
  • Sustainable Operations
  • Transportation and Logistics

We accept the following forms of submission:

Application: As a medium of communication between academics and practitioners, INFOR welcomes papers that demonstrate novel OR and IS approaches and concepts applied to important practical situations.

Theory: Original contributions to the techniques and methodology of data analytics and operations research. Authors should clearly demonstrate the relevance of the results in terms of applications.

Reviews: State-of-the-art surveys that review major theory and application development.

Notes: Short technical communications and comments on previously published INFOR papers.

We operate a rigorous single-anonymized peer review process. Visit our  Instructions for Authors page for information on preparing your manuscript.

Author benefits

INFOR is abstracted and indexed in several leading databases including the Science Citation Index, Scopus, CABS Journal Guide and more.

We are published on behalf of the  Canadian Operational Research Society meaning your research will be accessible to all their members.

The prestigious and experienced members of our international  Editorial Board will guide you from submission to publication

Our  Author Services page provides you with tips and tricks to promote your research on social media and through your network. This includes 50 free e-prints to share with anyone you wish.

Quickly and easily track the impact your paper makes with the help of  Authored Works.

Authors can  choose to publish gold open access in this journal.

Read the Instructions for Authors .

Journal metrics

Usage

  • 21K annual downloads/views

Citation metrics

  • 1.1 (2023) Impact Factor
  • 1.3 (2023) 5 year IF
  • 2.6 (2023) CiteScore (Scopus)
  • 0.536 (2023) SNIP
  • 0.348 (2023) SJR

Speed/acceptance

  • 12 days avg. from submission to first decision
  • 97 days avg. from submission to first post-review decision
  • 15 days avg. from acceptance to online publication
  • 24% acceptance rate

Editorial board

Editor-in-Chief:
Joe Naoum-Sawaya, Ivey Business School, Canada ( email)

Editorial Areas

Data Science and Machine Learning
This area will cater to the growing field of data science and analytics. Authors are invited to submit papers that develop methodologies in the area of descriptive, predictive and prescriptive analytics. Topics include business analytics, computational statistics, data envelopment analysis, data mining and text analytics.

Area Editor:
Joe Zhu, Worcester Polytechnic Institute, USA

Associate Editors:
Laurent Charlin, HEC, Canada
Elias Khalil, University of Toronto, Canada
Hsuan-Shih (James) Lee, Min Chuan University, Taiwan
Sungmook Lim, Dongguk University, South Korea
Mingming Liu, Dublin City University, Ireland
Haibing Lu, Leavey School of Business, Santa Clara University, USA
Bernardo Pagnoncelli, SKEMA Business School, France

Energy, Natural Resources, and the Environment
This area focuses on energy and natural resource value chains, their rapid transformation in response to climate change, and links to the environment, which include emissions and social impact. Submitted papers can involve novel models and methodology, innovative applications, or empirical studies. Interdisciplinary papers are welcome and can cut across multiple areas, including economics, finance, information systems, machine learning, optimization, stochastic models, and reinforcement learning, but the contribution to energy, natural resources, and the environment must be clear.

Area Editor:
Selvaprabu (Selva) Nadarajah, University of Illinois at Chicago, USA

Associate Editors:
Stein-Erik Fleten, Norwegian University of Science and Technology, Norway
Bissan Ghaddar, Ivey Business School, Canada
Michael Pavlin, Wilfrid Laurier University, Canada

Financial Optimization and Risk Management
This area is concerned with optimization applications in the areas of finance and economics. Topics include, option and asset pricing, financial simulation and risk analytics.

Area Editor:
Roy Kwon, University of Toronto, Canada

Associate Editor:
Somayeh Moazeni, Stevens Institute of Technology, USA
Georgios Sermpinis, University of Glasgow, UK

Operations Research in Defense and Disaster Management
This area focuses on defense and disaster management. The first track welcomes submissions of methodologies and theories on classical military issues around border control, search and rescue, homeland and national security. The second track encourages submissions on different stages and types of disasters, i.e., natural, accidental, and intentional, involving both regular freight and dangerous goods.

Area Editor:
Manish Verma, McMaster University, Canada

Associate Editors:
Kai Huang, McMaster University, Canada
Rene Seguin, Defence Research and Development Canada, Canada

Operations Research in Forestry
This area focuses on operations research applications in forestry. Topics include production planning, scheduling and logistics in forest operations and sustainable forest biomass optimization.

Area Editor:
David Martell, University of Toronto, Canada

Associate Editors:
Mikael Rönnqvist, Université Laval, Canada
Taraneh Sowlati, University of British Columbia, Canada

Operations Research in Health Care
This area will highlight papers that focus on operations research application in the health care industry. Topics include operating room scheduling, waiting times’ optimization and simulation, patient flow analysis, care facilities design and layout, patient demand management, and health informatics.

Area Editor:
Armann Ingolfsson, University of Alberta, Canada

Associate Editors:
Hrayer Aprahamian, Texas A&M University, USA
Peter VanBerkel, Dalhousie University, Canada

Optimization
This area will address one of the major fields of operations research. Authors are invited to submit models, algorithms, theoretical developments in any area of mathematical programming. Applications that do not fit in any of the other area are welcome as well.

Area Editor:
Laura Sanità, Bocconi University, Italy

Associate Editors:
Merve Bodur, University of Toronto, Canada
Tulay Flamand, University of Colorado Denver Business School, USA
Antonio Frangioni, Università di Pisa, Italy
Ricardo Fukasawa, University of Waterloo, Canada
Fatma Gzara, University of Waterloo, Canada
Borzou Rostami, Laurier University, Canada

Production Planning and Scheduling
This area focuses on one of the traditional applications of operations research. Papers are sought in topics ranging from strategic to operational issues such as capacity planning, scheduling, facility layout, demand and supply planning, quality control and project management.

Area Editor:
Mohamad Jaber, Toronto Metropolitan University, Canada

Associate Editors:
Nabil Absi, Ecole Nationale Supérieure des Mines de Saint-Etienne, France
Kerem Akartunali, Strathclyde Business School, Scotland
Mohammed Ben Daya, American University in Sharjah, UAE
Lama Moussawi, American University of Beirut, Lebanon

Queueing Theory, Stochastic Modelling and Simulation
This area is reserved for some of the major methodologies of operations research. Papers are sought on theoretical, algorithmic and application developments. Topics include stochastic processes, queueing theory, queueing networks, and simulation.

Area Editor:
Douglas Down, McMaster University, Canada

Associate Editors:
Opher Baron, University of Toronto, Canada
Mustapha Nour El Fath, Université Laval, Canada
Maria Vlasiou, University of Twente, Netherlands

Supply Chain Management
This area focuses on operations problems that extend beyond one firm and model coordination and/or conflict mechanisms. Models and application papers are welcome on topics such as supply chain network design, demand management, inventory management, forecasting, supply and sourcing.

Area Editor:
Georges Zaccour, HEC Montréal, Canada

Associate Editors:
Ozgen Karaer, Middle East Technical University, Turkey
Mingming Leng, Lingan University, Hong Kong
Guoqing Zhang, University of Windsor, Canada
Ju Myung Song, University of Massachusetts Lowell, USA

Sustainability
This area focuses on modelling and solution approaches to sustainable operations. Topics include closed-loop systems, design for remanufacturing, carbon emissions and pollution control systems and performance measurement systems.

Area Editor:
Kannan Govindan, University of Southern Denmark, Denmark

Associate Editor:
Chunguang Bai, University of Electronic Science and Technology of China, China
Joseph Sarkis, Worcester Polytechnic Institute, USA
M. Ali Ülkü, Dalhousie University, Canada

Transportation and Logistics
This area focuses on operations research application in transportation and logistics systems. It covers topics such as transportation network design and optimization, freight transportation, passenger transportation, city/public transportation, and vehicle routing.

Area Editor:
Jean-François Cordeau, HEC Montréal, Canada

Associate Editors:
HA Eiselt, University of New Brunswick, Canada
Ola Jabali, Politecnico di Milano, Italy
Gilbert Laporte, HEC Montréal, Canada
Juan Jose Salazar González, University of La Laguna, Spain
Tom van Woensel, TU Eindhoven, Netherlands

Open access

INFOR: Information Systems and Operational Research is a hybrid open access journal that is part of our Open Select publishing program, giving you the option to publish open access. Publishing open access means that your article will be free to access online immediately on publication, increasing the visibility, readership, and impact of your research.

Why choose open access?

  1. Increase the discoverability and readership of your article
  2. Make an impact and reach new readers, not just those with easy access to a research library
  3. Freely share your work with anyone, anywhere
  4. Comply with funding mandates and meet the requirements of your institution, employer or funder
  5. Rigorous peer review for every open access article

Article Publishing Charges (APC)

If you choose to publish open access in this journal you may be asked to pay an Article Publishing Charge (APC). You may be able to publish your article at no cost to yourself or with a reduced APC if your institution or research funder has an open access agreement or membership with Taylor & Francis.

Use our APC finder to calculate your article publishing charge

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