Revealed reader preference for marketing journals

In this paper we assess the reading preference for marketing journals by deriving a journal utility scale based on click responses to table of contents postings to the ELMAR virtual community. Use of ELMAR data provides a unique window into journal importance, allowing us to look at table of contents reading behavior rather than citing behavior or attitudinal constructs as has been the case in previous studies. At the time of the study, there were more than 5,100 ELMAR subscribers, easily making this the largest journal ranking study ever undertaken. The external validity of our sample is high since ELMAR subscribers include a high percentage of the population of those interested in scholarly research in marketing. Our results are based on actual choice behavior of subscribers as they simply decide what tables of contents to read. The list of journals included in the study contains 165 different titles posted during the study period, which spanned a year. During that period there were multiple issues posted of these 165 journals, resulting in a replicated field study with high reliability. In fact, our journal reading utility measurement yielded a model with an R value of .95. We use this model to suggest ways that researchers might come to a richer understanding of the journal consumption process.