Perceived and Implicit Ranking of Academic Journals: An Optimization Choice Model

Author(s)

Frank Tian Xie, University of South Carolina Aiken , Aiken , South Carolina , USA
Cai Z. Jane, University of Rhode Island
Yue Pan, University of DaytonFollow

Document Type

Article

Publication Date

2012

Abstract

A new system of ranking academic journals is proposed in this study and optimization choice model used to analyze data collected from 346 faculty members in a business discipline. The ranking model uses the aggregation of perceived, implicit sequencing of academic journals by academicians, therefore eliminating several key shortcomings of previous ranking methodologies reported in the literature. Ranking results from the new system are comparable to that of previous methods, yet they reflect some present trends in quality perception of scholarly journals in the field.

Inclusive pages

266-274

ISBN/ISSN

0883-2323

Publisher

Routledge Taylor & Francis

Volume

87

Issue

5

Peer Reviewed

yes

Keywords

implicit journal ranking, journal ranking, marketing journal ranking, optimization choice model, perceived journal ranking

eCommons Citation

Xie, Frank Tian; Jane, Cai Z.; and Pan, Yue, "Perceived and Implicit Ranking of Academic Journals: An Optimization Choice Model" (2012). Management and Marketing Faculty Publications. 41.
https://ecommons.udayton.edu/mgt_fac_pub/41