http://hdl.handle.net/2374.MIA/5108 Susan Hurst Sun, 05 Apr 2026 16:42:07 GMT 2026-04-05T16:42:07Z http://hdl.handle.net/2374.MIA/5803 Assessment of a Broad-Based CCC “Get It Now” Program Implementation Messner, Kevin; Hurst, Susan; Bazeley, Jennifer; Withers, Rob We conducted a year-long pilot of the Copyright Clearance Center’s “Get It Now” rapid document delivery program. Get It Now is intended to supplement traditional library journal collections by providing rapid on-request electronic access to a deep body of journal literature, for a per article charge which is absorbed by the library. Our pilot project provided the service to all constituencies within our university community: undergraduate, graduate student, staff and faculty. This differs from many implementations which are limited to certain populations e.g. faculty-only. With a full year of data, we assess whether this broad availability of service is sustainable financially with current resources; whether it makes sense from a collections development standpoint; who the major users are when the service is available to all; and what subject areas the requested articles predominate. Our general experience in setting up and managing the service is discussed. http://hdl.handle.net/2374.MIA/5803 http://hdl.handle.net/2374.MIA/5192 Contradictions and Consensus — Clusters of Opinions on E-books Shrimplin, Aaron; Revelle, Andrew; Hurst, Susan; Messner, Kevin Q methodology was used to determine attitudes and opinions about e-books among a group of faculty, graduate students, and undergraduates at Miami University of Ohio. Oral interviews formed the basis for a collection of opinion statements concerning e-books versus print. These statements were then ranked by a second group of research participants. Factor analysis of these rankings found four distinct factors that reveal clusters of opinions on e-books: Book Lovers, Technophiles, Pragmatists, and Printers. Two of the four factors take a more ideological approach in their understanding of e-books: Book Lovers have an emotional attachment to the printed book as an object, while Technophiles feel just as strongly about technology. In contrast, the other two factors are more utilitarian: Printers might find e-books more palatable if usability were improved, while Pragmatists are comfortable with both print and e-book formats. Tue, 01 Mar 2011 00:00:00 GMT http://hdl.handle.net/2374.MIA/5192 2011-03-01T00:00:00Z http://hdl.handle.net/2374.MIA/5191 Book Lovers, Technophiles, Printers and Pragmatists: The Social and Demographic Structure of User Attitudes toward e-Books Revelle, Andrew; Messner, Kevin; Shrimplin, Aaron; Hurst, Susan Q-methodology was used to identify clusters of opinions about e-books at Miami University. The research identified four distinct opinion types among those investigated: Book Lovers, Technophiles, Pragmatists, and Printers. The initial Q-methodology study results were then used as a basis for a large-n survey of undergraduates, graduate students, and faculty so that we could have a more complete picture of the demographic and social makeup of the campus population. Results from that survey indicate that academic discipline is strongly associated with the respondents’ opinion types. Gender and educational status are also associated with respondents’ opinion types. Sat, 01 Sep 2012 00:00:00 GMT http://hdl.handle.net/2374.MIA/5191 2012-09-01T00:00:00Z http://hdl.handle.net/2374.MIA/5046 Seeing the Forest by Counting the Trees Hurst, Susan; Revelle, Andy; Shrimplin, Aaron Libraries, particularly academic libraries, are swimming in a sea of data. Librarians often contribute to this by counting every possible patron interaction in an attempt to both define their current situation and to predict future staffing, budgetary, and collection needs. This investigation assessed the effectiveness of using various data sources in predicting future library activity and needs. The authors collected data on in-person and chat reference transactions, electronic journal downloads, database queries, and catalog searches from 2009–12. By analyzing these data points, the authors hypothesized they would find correlations that might be predictive of changes in related library services. Results indicated that the strongest correlations track activity over the course of the academic calendar. While none of the data points examined had predictive properties, the strong correlations between the data points over the period of time studied indicated that any one of them might serve as a stand-alone indicator of usage. Wed, 26 Mar 2014 00:00:00 GMT http://hdl.handle.net/2374.MIA/5046 2014-03-26T00:00:00Z