Industrial Management & Data Systems Cover Image for Volume 126, Issue 9
Current Issue
Volume 126,
Issue 9,
1 September 2026

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.

View author guidelines

Calls for papers

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