Journal of Technology, Management, and Applied Engineering

The Journal of Technology, Management, and Applied Engineering is the on-line peer-refereed scholarly journal of The Association of Technology, Management, and Applied Engineering (ATMAE). It was previously published as the Journal of Industrial Technology from 1984 through 2011. The JTMAE publishes peer-refereed scholarly articles involving research and applications, along with non-refereed informational articles. Our audience is Technology, Technology Management, and Applied Engineering faculty, students and professionals in both industry and academia.

JTMAE accepts and publishes new articles on a rolling basis.The full text of Journal articles published since December 2009 are indexed in the EBSCO host research databases and the Elsevier - Scopus database. Scopus is the largest abstract and citation database of peer-reviewed literature: scientific journals, books and conference proceedings.

Effective May 15, 2022, JTMAE moved to a new platform within the Iowa State University Digital Press. This platform offers several benefits to JTMAE authors including: a Digital Object Identifier (DOI) for each article, readership statistics (including pageviews, download counts, and limited citation information), and support for additional indexing as needed to best highlight JTMAE research and authors. We also expect the Digital Press system to offer the same level of submission, review, and storage services that authors and reviewers enjoyed in the past.

ATMAE Journal Board Policy on Artificial Intelligence (AI) text-generative tools

Recent advancements in generative artificial intelligence have put into question how such tools will be used in the future, and methods to detect AI usage. It is the position of the ATMAE Journal Board that these tools are effective in generating text given initial prompts, and may be helpful in a variety of cases, beyond enhancing an individual’s research output. Access to AI tools may allow for people with disabilities or impediments that would normally inhibit long hours of writing to develop their professional careers. To achieve a goal where scientific, engineering, and technology articles are accessible for all, the Journal Board will accept articles featuring AI contributions. As exhibited through Thaler v. Vidal (2022), the intellectual property of AI-generated work is not patentable and cannot be copyrighted, as the AI is not considered an individual. Due to this current framework, the ATMAE Journal Board will only accept AI contributions on the paper if the submitted work is substantially changed or amended by the author(s). In the acknowledgements section, the author(s) will be required to indicate the level of assistance from the AI tool (indicating which sections and the percentage generated by the AI), as well as the specific tool used (ChatGPT-3, etc.).