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Record W1554072771 · doi:10.18438/b8960m

Follow-Up Study on Free Document Delivery and Interlibrary Loan Service Demonstrates Customer Satisfaction and Generates Improvements

2013· article· en· W1554072771 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueEvidence Based Library and Information Practice · 2013
Typearticle
Languageen
FieldComputer Science
TopicLibrary Collection Development and Digital Resources
Canadian institutionsVancouver Island University
Fundersnot available
KeywordsInterlibrary loanTurnaround timeService (business)Customer satisfactionMedical educationWorld Wide WebPsychologyComputer scienceBusinessMedicineMarketing

Abstract

fetched live from OpenAlex

Objective – Texas A&M University Libraries have delivered free documents and interlibrary loans for ten years via the Get it for me service. This study explores whether the needs of customers are being met, areas for improvement, acceptable turnaround times, why some resources are never picked up, preferred format and steps to obtaining resources, places searched before submitting a request, and whether users ever purchased resources after obtaining them through Get it for me.
 
 Design – Online questionnaire. 
 
 Setting – Large academic library system located in Texas, United States.
 
 Subjects – Researchers used responses from 735 registered users of the Get it for me service (12% undergraduates, 49% graduate students, 21% faculty, 15% staff, 1% distance education, 2% other).
 
 Methods – The authors emailed all currently registered users of the Get it for me service (n=23,063) inviting them to participate in a survey. The survey ran for two weeks, with no follow-up emails sent. 
 
 Main Results – The return rate of 3.18% (n=735/23,063) surpassed the participant goal to achieve a confidence level of 95%, with a confidence interval of 4%. Researchers found that 79% of respondents are satisfied with turnaround time, with 54% of respondents desiring items within three days. Expectations increased with position in the academy. Time is the significant factor in users not retrieving ordered items; items are no longer needed after deadlines pass or other related materials are found. Responses revealed that 55% of users prefer print to e-books, although 70% of participants would accept an e-book version if print is not available. Participants were evenly split between reading documents online and printing them to read offline. About one quarter of respondents bought or suggested that the library purchase an item requested via Get it for me. When participants encountered a problem, 55% of respondents would contact library staff and 45% would check the service FAQ. Of those that contacted staff, there is a 94% satisfaction rate. Overall, 95% of respondents checked the libraries’ online catalogue for availability, 83% looked in e-journal collections, and 74% checked Google or Google Scholar. Get it for me was complimented on its user-friendly interfaces and policies, and the money and time it saves its users. In terms of criticism, users requested better quality scanned documents, longer interlibrary loan times, and a PDF instead of a link when an article is found by staff.
 
 Conclusion – The author concludes that the document delivery and interlibrary loan services delivered by Get it for me are meeting the expectations of users, with 99% of respondents reporting that the Get it for me service meets or somewhat meets their needs. Areas that required improvement were identified and strategies put in place to improve service. This questionnaire can be applied to other libraries to assist them in learning about document delivery and interlibrary loan service users and their expectations.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesScholarly communication
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.599
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0040.360
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.218
Teacher spread0.207 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it