Business Ethics Quarterly believes in the importance of transparent and reproducible research. We encourage authors of empirical submissions to follow best practices in reporting methods and findings.
Where possible we encourage authors to make evidence, data, code, and other materials that underpin their findings available to readers. We encourage the use of Data Availability Statements to describe whether the materials that underpin research findings have been made available to readers, and if so, where. Such statements are appropriately added to the back matter of an article, before the References, after the submission is accepted.
When sharing materials, we recommend using a dedicated data repository appropriate to the materials. In particular, repositories that provide permanent identifiers and have robust preservation policies will help to ensure the long-term integrity of published research.
We also encourage authors to cite materials and data they have used in their research, alongside literature citations.
If you have any questions about this policy, please contact the editorial office.
AI Contributions to Research Content
- AI use must be declared and clearly explained in publications such as research papers, just as we expect scholars to do with other software, tools and methodologies. This includes explaining how the AI was used, where and how much content was generated.
- AI does not meet the Cambridge requirements for authorship, given the need for accountability. AI and LLM tools may not be listed as an author on any scholarly work published by Cambridge
- Authors are accountable for the accuracy, integrity and originality of their research papers, including for any use of AI.
- Any use of AI must not breach Cambridge’s plagiarism policy. Scholarly works must be the author’s own, and not present others’ ideas, data, words or other material without adequate citation and transparent referencing.