Big deal and long tail: a case study on e-journal usage and subscriptions

Schopfel, Joachim; Leduc, Claire

Type de document :

Compte-rendu et recension critique d'ouvrage

DOI :

10.1108/00242531211288245

Titre :

Big deal and long tail: a case study on e-journal usage and subscriptions

Auteur(s) :

Schopfel, Joachim [Auteur]

Groupe d'Études et de Recherche Interdisciplinaire en Information et COmmunication - ULR 4073 [GERIICO ]
Leduc, Claire [Auteur]
Institut Supérieur de Commerce International de Dunkerque Côte d'Opale [ISCID-CO]
Groupe d'Études et de Recherche Interdisciplinaire en Information et COmmunication - ULR 4073 [GERIICO ]

Titre de la revue :

Library Review

Pagination :

497-510

Éditeur :

Emerald

Date de publication :

2012

ISSN :

0024-2535

Mot(s)-clé(s) :

big deal
abonnements
revues électroniques
longue traîne
statistiques d'usage

Mot(s)-clé(s) en anglais :

subscriptions
e-journals
long tail
usage statistics

Discipline(s) HAL :

Sciences de l'Homme et Société/Sciences de l'information et de la communication

Résumé :

Il s'agit d'une étude empirique sur le lien entre les abonnements aux revues électroniques et les statistiques d'usage, en comparant deux modes d'abonnement (titre par titre, "big deal") et en posant la question de la ...
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Résumé en anglais : [en]

Purpose - This paper is aimed primarily at academic library managers and acquisition librarians. By analogy with Pareto's study of the relationship between clients and turnover, we will study subscriptions to e-journals ...
Lire la suite >Purpose - This paper is aimed primarily at academic library managers and acquisition librarians. By analogy with Pareto's study of the relationship between clients and turnover, we will study subscriptions to e-journals and usage statistics. Our purpose is to evaluate the long tail of usage statistics and to compare it with the two modes of subscription, individually selected journals vs. packages (big deals). Design/methodology/approach - The paper exploits usage statistics and subscription data from a national usage study of an academic publisher. Data are from 2010. Findings - Usage statistics are partly shaped by the long tail effect. Individual subscriptions to journals are more selective than big deals, and tend towards a traditional retail model. Unlike subscriptions through packages, usage and individual subscriptions can be related by a similar inclination. But both types of subscriptions fail to predict the popularity of a journal in its usage. Research limitations/implications - The paper uses data from a national usage study and tries to identify global trends. Thus, it does not distinguish between customer categories, disciplines and activity domains. Practical implications - The paper considers the opportunity provided by big deal for acquisition policy. Ready-made big deals sometimes appear as an unbounded and excessive supply not suited to the users' true and sufficient needs, while selective acquisition policy cannot completely anticipate online usage behaviour. Originality/value - Only a few studies distinguish Pareto from long tail distributions in usage statistics, and there is little empirical evidence as to the impact of selected subscriptions vs. big deals on these statistics.Lire moins >

Langue :

Anglais

Vulgarisation :

Non

Collections :