
handle: 10419/210650
AbstractLarge publishing companies have been dominating scientific publishing for long, which leads to high subscription fees and inhibited access to scientific knowledge. At digital era, the opportunity of an unrestricted access appears feasible, because the cost of publishing should be low. It is no longer the readers and libraries to pay subscription fees, but scientific organizations and authors themselves who pay for the cost of having their article published. As the data shows, there is a tremendous variance of article processing charges (APC) across journals, which obviously cannot be explained by the costs. One of the explanatory variables could be reputation, but it only contributes less than 5% to the variance in average APC. This study is meant to shed light on the various determinants of APC. Based on the data from the OpenAPC Initiative, the Directory of Open Access Journals and three different datasets of Web of Science, we employ ANOVAs and multivariate regressions. The results show that market power plays an important role to explain APC, inter alia, through market concentration, market position of individual publishers (publisher size), and the choice of hybrid publishing model.
open access, L13, ddc:330, article processing charges, market power, L11, market concentration, D40, D43, D22
open access, L13, ddc:330, article processing charges, market power, L11, market concentration, D40, D43, D22
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 67 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
