Scholarly journal evaluation based on panel data analysis
作者:
Highlights:
•
摘要
This paper proposes a new method for indicator selection in panel data analysis and tests the method with relevant data on agricultural journals provided by the Institute of Scientific & Technical Information of China. An evaluation exercise by the TOPSIS method is conducted as a comparison. The result shows that panel data analysis is an effective method for indicator selection in scholarly journal evaluation; journals of different disciplines should not be evaluated with the same criteria; it is beneficial to publish all the evaluation indicators; unavailability of a few indicators has a limited influence on evaluation results; simplifying indicators can reduce costs and increase efficiency as well as accuracy of journal evaluation.
论文关键词:Scholarly journal,MAE (Multiple Attribute Evaluation),Indicator selection,TOPSIS,Panel data analysis,Heuristic methods
论文评审过程:Received 14 January 2009, Revised 19 April 2009, Accepted 21 April 2009, Available online 18 May 2009.
论文官网地址:https://doi.org/10.1016/j.joi.2009.04.003