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Demand vs Pre-Selected Ebook Usage
 

Demand vs Pre-Selected Ebook Usage

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  • Conclusions from the cautionary tale: Phrase in terms of the banana story
  • *Read online - Can think of as in-library use*Download – can be thought of as a checkout*Combined these, but ignored all casual use – i.e. click in and click out never counted;Every use indicates true interest in the content: a click through saying I want to continue to view, or a copy command or a print command*The ability to eliminate casual usage (ie browsing) from EBL use data distinguishes it from all other e-resource use data that we’re aware of
  • *Length of book ownership had significant effect on number of uses and users per book*For simplicity, it was incorporated in to the response variables (i.e. uses per year, and unique users per year) *Books owned less than 6 months were ignored to avoid high use per year ratio due to a few uses in a short period of time— when the analysis was repeated with books owned at least 1 year – there was no affect on the pattern or strength of the effects
  • *In all subsequent slides user books from user selected collections are in blue, and those from preselected collections are in green*Overall Average number of uses per year in general quite high ≈ 6 per year *Average number of post-purchase uses per year is significantly greater for user-selected ebooks (2x as high) *Even though the total number of books (n) in the user selected set is greater, this has no effect on the result—these are PER BOOK averages, so each book in the user selected collection is used an average of 8.6x per year, andeach book the preselected collection is used an average of 4.3x per year*This result rejects the hypothesis rejects the hypothesis that users will select ebooks will be used less than pre-selected ebooks
  • *Pattern of greater use for user-selected books is consistent across all 5 libraries: 4 of 5 are significantly different based on non-overlapping 95% confidencec intervals*degree of difference varies from 1.75x to 4.5x
  • *This figure shows for the number of unique users per ebook per year for the overall user selected and preselected collections*The average user-selected ebook was used by a significantly greater number of different users per year (about 2x as many)*These data allow us to result rejects the hypothesis that users select books that are only of interest to themselves
  • *Here we see that pattern of wider use of user-selected ebooks is also consistent across the 5 libraries, with the same 4 libraries showingsignificantly wider useThe degree of this effect varies from 1.75x to 3.3 times more unique users per book per year in user-selected collections
  • *Print book collections are often assessed by the percentage of their books with 0 checkouts*Here we report the percentage of books with zero use in discrete collections formed under both acquisition models*In every case more than 90% of the books had been used at least once, and in 4 out of 5 libraries, fewer books went unused in the user driven collections*On average there were about 6x as many unused books in the pre-selected collections
  • *At a broad disciplinary level, 4 of 5 libraries had similar subject profiles for the collections built under the two acquisition models*For the one library (K) where the profiles appear to be different, the preselected collection seemed to over-emphasize Sci&Tech books vs their user selected collection
  • At a slightly more granular level, subject profiles of the two types of collections also appear to be similar
  • Same data in tabular form with a few additional classes included

Demand vs Pre-Selected Ebook Usage Demand vs Pre-Selected Ebook Usage Presentation Transcript

  • Beguiled by Bananas :
    A retrospective study of the usage & breadth of patron vs. librarian acquired ebook collections
    Jason Price & John McDonald
    Libraries, Claremont University Consortium
    November 5, 2009
    (with data & discussion from
    Kari Paulson & Alison Morin of EBL)
  • Bananas tipped the boat: a cautionary tale
    Early patron-driven deal with a major platform
    Assignment on economics of banana plantations
    UC Boulder ‘bought every book with banana in the title’
    Used by librarians & vendors(!) as evidence that user-driven selection is a bad idea
  • Patron-driven model objections:cautionary conclusions?
    Books will be selected based on click-thrus that don’t indicate interest
    Users will select ebooks that no one (else) is interested in
    User selected collections will be unbalanced turkeys
  • Definitions
    Purchase type
    Patron selected = Demand Driven = User-selected
    Librarian selected ≈ Library selected ≈ Pre-selected
    Ebook usage was measured conservatively
    Data reflects post-purchase use
    Did not count uses that led to user-selection
    ‘Casual’ use eliminated
    1 use ≈ 1 ‘read online’ ≈ 1 ‘download’
    read online = >10 min w/click thru OR copy OR print
    Transaction level data
    each use recorded separately with user anonymously but permanently identified
  • Questions we’ll address
    Are user-selected ebooks used less often than pre-selected ebooks?
    Do user-selected ebooks have a narrower audience?
    Are user-selected collections less balanced?
    Do we have anything to fear in patron-driven selection?
    (Can we use this to build better acquisition models?)
  • Scope of the overall dataset
    1 Ebook Vendor – EBL (Ebook Library)
    11 Libraries
    28,327 ebooks bought from 2006 - 2009
    212,887 uses during that period
    Purchase Models: User Selection, Pre-Selection, or Mixed
  • Total Books & Usage
  • Total Books & Usage
  • Total Books & Usage
  • Total Books & Usage
  • Scope of this analysis
    5 Mixed-model libraries only
    Design
    Test variables: Purchase type & Library
    Response variables:
    Uses per year
    Unique users per year
    Books owned more than 6 months
    Inferential stats: Negative binomial regression (not shown), ANOVA
  • Question 1
    Are user-selected ebooks used less often than pre-selected ebooks?
    Do user-selected ebooks have a narrower audience?
    Are user-selected collections less balanced?
  • Librarian Acquired
  • Question 2
    Are user-selected ebooks used less often than pre-selected ebooks?
    Do user-selected ebooks have a narrower audience?
    Are user-selected collections less balanced?
  • User-selected collections have fewer unused titles
  • Question 3
    Are user-selected ebooks used less often than pre-selected ebooks?
    Do user-selected ebooks have a narrower audience?
    Are user-selected collections less balanced?
  • User-selected collections have similar subject profiles
    Proportion of individual collection
    User Pre User Pre User Pre User Pre User Pre
    Library
  • User-selected collections have similar LC profiles
    Blue = User selected
    Green = Pre selected
  • User-selected collections have similar LC profiles
  • Summary
    Are user-selected ebooks used less often than pre-selected ebooks?
    No. User-selected ebooks are used ≈2-5x more often
    Do user-selected ebooks have a narrower audience?
    No. User-selected ebooks are used by ≈2-3x more unique users
    Are user-selected collections less balanced by subject?
    No. User selected collections are similarly balanced.
  • Questions & Discussion
    Given our results – what do we (still) have to fear from patron-driven purchasing
    (at least in the EBL model)?
  • Thanks!
    Jason Price jason.price@cuc.claremont.edu
    John McDonald john.mcdonald@cuc.claremont.edu
    Kari Paulson kari.paulson@eblib.com