About the Industrial Management & Data Systems
Industrial Management & Data Systems brings operations management and information systems research together. Focusing on the impact of new technology within businesses it covers; green information systems, sustainable supply chains, big data and social media.
This journal was previously published as Industrial Management until 2018. Previous ISSN 0007-6929.
Submission information
Accepted manuscript types and word counts
- Editorial — up to 3000 words
- Research Paper — up to 10000 words
- Practitioner Paper — up to 5000 words
Please see the article types and word counts section on the about this journal page for more information. The word count includes all text, figures and tables. When estimating your total, please allow 280 words for each figure or table. Read more about the article types for this journal.
Reference style
Use the Harvard reference style. Read more about the reference types for this journal.
Keywords
Please include up to 6 short, relevant keywords that describe the main topics of your paper.
Peer review type
Double anonymous peer review. All submissions are sent to at least 2 independent and anonymous reviewers.
Open access options
This is a hybrid journal. Hybrid journals are subscription journals but offer all authors the option to publish their work open access. If you choose to publish open access you will be required to pay an article processing charge (APC). Alternatively you can opt for the green open access route and self-archive your article (at no cost to the author). Read more about our open access options.
Accepted languages
This journal only accepts manuscripts written in UK or US English.
Accepted submission files
Article files should be provided in Microsoft Word format.
Closes: 30th September 2026
This special issue aims to present leading research that informs how immersive technologies are driving innovation in mobile business environments.
Guest editor(s): Fang Wang, Zhao Du, Shan Wang, Zhen Zhu
Closes: 30th September 2026
This special issue explores how mixed- or multi-methods enhance theory and practice in information systems, supporting innovation, integration, and contextual understanding in industrial settings.
Guest editor(s): Ling-Yen Pan (claudiapan@mail.ntpu.edu.tw) | Wen-Lung Shiau, Christian M. Ringle, Jun Hwa (Jacky) Cheah, Yide (Vincent) Liu
Open access articles
Metrics snapshot
- 2025 Journal Impact Factor (Clarivate)
- 4.7
- Downloaded articles in the last 12 months
- 389921
Publication timeline
- Time to first decision
- 38.7 days
- Acceptance to publication
- 48 days
- Acceptance rate
- 9.1%
