A scientometrics-based journal Management framework: A strategic move

Abstract

Managing a scientific journal is a critical and challenging service for academics and practitioners. There must be a way for journal editors to gain a clear picture of their publication's performance and gain insight into how they can make improvements to expand the journal's impact. Knowing the journal's performance and its leading contribution to a particular field can be useful for journal managers readers, authors, and science policymakers. This article presents a management framework informed by scientometrics and bibliometrics as a science that uses statistical techniques to analyze information distribution models, to help journals contribute more to the field by optimum engagement of editorial knowledge and expertise and expanding the boundaries of what is known. We examined one prominent journal as a case study in this paper. The outcomes are used to assess the feasibility of the proposed framework. The top contributions of the case journal are identified systematically, and strategies for potential growth are proposed accordingly. Based on the findings, this study not only provides an overview of the benefits of scientometrics-based journal management but also provides recommendations to strengthen the journal's impact on the field as a contribution to practice. As a result, this article is intended to benefit publishers, journal editors, readers, and policymakers.