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Improving Journal
Acceptance Rates
Historically, evaluating a journal article for SPi Global developed the Transfer Desk Agent
publication has required a great deal editorial in December of 2017. It uses a machine
knowledge, subject matter expertise, and a learning framework to analyze all of the
significant amount time. The Authors make articles published within a publisher’s
an educated guess as to which journals are catalog of journals. The tool creates a unique
the best fit for their content, while scholarly fingerprint of each journal, which allows it
publishers must read every submission to better match newly submitted articles to
thoroughly to determine whether or not the appropriate journal based on the subject
the paper meets its quality standards or matter. The tool recommends alternative
aligns with its particular subject matter focus. journals where a rejected article may align
This approach is time intensive and may not better, decreasing the likelihood of an
even result in a published article for the unfruitful review process.
author or publisher.
“Many publishers’ rejection rates are
A more efficient evaluation process is fairly high,” explains Jishnu Gupta, Chief
possible with artificial intelligence, explains Technology Officer at SPi Global. “That means
Venky. “Usually, when a manuscript gets they’re losing a lot of opportunity and revenue In addition to helping publishers retain valuable content, this technology improves the scholarly
rejected, publishers risk losing revenue, the when they reject articles that could be a fit for research landscape. Publishers can disseminate information to the scholarly community faster by
author, and his/her content to a competitive other journals.” automatically surfacing the best journal submissions. Faster publication times also help publishers
journal,” says Sonathi. “In order to address this keep pace with the increased volume of research in the scholarly community and ensures researchers
issue, we developed our Transfer Desk Agent, Using the Transfer Desk Agent, one journal are up-to-date.
which suggests alternative journals within the publisher was able to increase its acceptance
publisher’s catalog that may be a better fit.” rate by 20%. “That also means 20% more The applications of this technology are not limited to scholarly publishing, adds Venky. “As a concept, it
revenue for that publisher,” says Jishnu. can be expanded to any business operation that involves identifying incoming textual information and
routing it to an appropriate channel. For example, a customer service team that receives complaints via
emails can use the Transfer Desk Agent concept to route emails to the most appropriate team.”
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