The statistics are shoddy
Lies, damn lies, and statistics. Read the original paper: http://www.prsa.org/Intelligence/PRJournal/Documents/2012DiStaso.pdf .
In it, the relevant paragraph is this:
"When asked if there are currently factual errors on their company or client’s Wikipedia articles, 32% said that there were (n=406), 25% said that they don’t know (n=310), 22% said no (n=273), and 22% said that their company or client does not have a Wikipedia article (n=271). In other words, 60% of the Wikipedia articles for respondents who were familiar with their company or recent client’s article contained factual errors."
This is abuse of statistics. First of all, it measures *whether PR people say there's an error*, not the actual error rate—and it begs the question of the reliability of that proxy. Second, the people who say they're not sure about their article are left out of that ridiculous 60% statistic. A more reasonable interpretation of the same results is that *about 30% of those whose employers have an article alleged an error*. That's still too high, but it's an entirely different statistic.
This error is magnified by the nature of the sample: this research was done by *online survey*. Since presumably only those interested in answering answered, there's a possibility that the sample is biased to begin with towards those with an interest in Wikipedia—say, because they're aware of an error in their article.