The purpose of this study is to test for the presence of order-effect bias in journal ranking surveys. Data were obtained from 379 active knowledge management and intellectual capital researchers who rated 25 journals on a 7-point scale. Five different versions of the survey instrument were...

This study presents a ranking of 182 academic journals in the field of artificial intelligence. For this, the revealed preference approach, also referred to as a citation impact method, was utilized to collect data from Google Scholar. This list was developed based on three relatively novel...

The purpose of this study is to: (1) develop a ranking of peer-reviewed AI journals; (2) compare the consistency of journal rankings developed with two dominant ranking techniques, expert surveys and journal impact measures; and (3) investigate the consistency of journal ranking scores assigned...

The purpose of this study is to test the existence of the exposure effect in journal ranking decisions. The exposure effect emerges when participants of journal ranking surveys assign higher scores to some journals merely because they are more familiar with them rather than on their objective...

Purpose The purpose of this study is to update a global ranking of 27 knowledge management and intellectual capital (KM/IC) academic journals. Design/methodology/approach The ranking was developed based on a combination of results from a survey of 482 active KM/IC researchers and journal...

Purpose – The purpose of this study is to update a global ranking of knowledge management and intellectual capital (KM/IC) academic journals. Design/methodology/approach – Two different approaches were utilized: a survey of 379 active KM/IC researchers; and the journal citation impact...